From 36dd5502aa86cdf3ae9b730dd174eb91e9f41b8d Mon Sep 17 00:00:00 2001 From: "peter.ljunglof" Date: Wed, 17 Oct 2012 08:49:34 +0000 Subject: [PATCH] added autogenerated files for the FraCaS treebank --- examples/fracas/build/FraCaSBank.pl | 6067 +++++++++++++++++++ examples/fracas/build/FraCaSBank.xml | 7293 +++++++++++++++++++++++ examples/fracas/dist/FraCaSBank-0.2.zip | Bin 0 -> 359268 bytes 3 files changed, 13360 insertions(+) create mode 100644 examples/fracas/build/FraCaSBank.pl create mode 100644 examples/fracas/build/FraCaSBank.xml create mode 100644 examples/fracas/dist/FraCaSBank-0.2.zip diff --git a/examples/fracas/build/FraCaSBank.pl b/examples/fracas/build/FraCaSBank.pl new file mode 100644 index 000000000..73651ce56 --- /dev/null +++ b/examples/fracas/build/FraCaSBank.pl @@ -0,0 +1,6067 @@ +:- discontiguous tree/2, sent/3. +%% tree(?SentenceID, ?Tree) +%% sent(?SentenceID, ?Language, ?Sentence) +tree(s_001_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(italian_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(become_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(world_N, [])])])]), t('NumSg', []), t('OrdSuperl', [t(great_A, [])])]), t('UseN', [t(tenor_N, [])])])])])])])). +sent(s_001_1_p, eng, 'an Italian became the world\'s greatest tenor'). +sent(s_001_1_p, original, 'an Italian became the world\'s greatest tenor'). +sent(s_001_1_p, swe, 'en italienare blev världens mest framstående tenor'). + +tree(s_001_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('RelCN', [t('UseN', [t(italian_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(become_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(world_N, [])])])]), t('NumSg', []), t('OrdSuperl', [t(great_A, [])])]), t('UseN', [t(tenor_N, [])])])])])])])])])])])])). +sent(s_001_2_q, eng, 'was there an Italian who became the world\'s greatest tenor'). +sent(s_001_2_q, original, 'was there an Italian who became the world\'s greatest tenor'). +sent(s_001_2_q, swe, 'fanns det en italienare som blev världens mest framstående tenor'). + +tree(s_001_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('RelCN', [t('UseN', [t(italian_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(become_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(world_N, [])])])]), t('NumSg', []), t('OrdSuperl', [t(great_A, [])])]), t('UseN', [t(tenor_N, [])])])])])])])])])])])). +sent(s_001_3_h, eng, 'there was an Italian who became the world\'s greatest tenor'). +sent(s_001_3_h, original, 'there was an Italian who became the world\'s greatest tenor'). +sent(s_001_3_h, swe, 'det fanns en italienare som blev världens mest framstående tenor'). + +tree(s_002_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(man_N, [])])])]), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])])])])])])])). +sent(s_002_1_p, eng, 'every Italian man wants to be a great tenor'). +sent(s_002_1_p, original, 'every Italian man wants to be a great tenor'). +sent(s_002_1_p, swe, 'varje italiensk man vill vara en framstående tenor'). + +tree(s_002_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(man_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])])])])])])). +sent(s_002_2_p, eng, 'some Italian men are great tenors'). +sent(s_002_2_p, original, 'some Italian men are great tenors'). +sent(s_002_2_p, swe, 'några italienska män är framstående tenorer'). + +tree(s_002_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(man_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])])])])])])])])])])])])])). +sent(s_002_3_q, eng, 'are there Italian men who want to be a great tenor'). +sent(s_002_3_q, original, 'are there Italian men who want to be a great tenor'). +sent(s_002_3_q, swe, 'finns det italienska män som vill vara en framstående tenor'). + +tree(s_002_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(man_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])])])])])])])])])])])])). +sent(s_002_4_h, eng, 'there are Italian men who want to be a great tenor'). +sent(s_002_4_h, original, 'there are Italian men who want to be a great tenor'). +sent(s_002_4_h, swe, 'det finns italienska män som vill vara en framstående tenor'). + +tree(s_003_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(man_N, [])])])])]), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])])])])])])])])). +sent(s_003_1_p, eng, 'all Italian men want to be a great tenor'). +sent(s_003_1_p, original, 'all Italian men want to be a great tenor'). +sent(s_003_1_p, swe, 'alla italienska män vill vara en framstående tenor'). + +tree(s_003_2_p, s_002_2_p). +sent(s_003_2_p, eng, 'some Italian men are great tenors'). +sent(s_003_2_p, original, 'some Italian men are great tenors'). +sent(s_003_2_p, swe, 'några italienska män är framstående tenorer'). + +tree(s_003_3_q, s_002_3_q). +sent(s_003_3_q, eng, 'are there Italian men who want to be a great tenor'). +sent(s_003_3_q, original, 'are there Italian men who want to be a great tenor'). +sent(s_003_3_q, swe, 'finns det italienska män som vill vara en framstående tenor'). + +tree(s_003_4_h, s_002_4_h). +sent(s_003_4_h, eng, 'there are Italian men who want to be a great tenor'). +sent(s_003_4_h, original, 'there are Italian men who want to be a great tenor'). +sent(s_003_4_h, swe, 'det finns italienska män som vill vara en framstående tenor'). + +tree(s_004_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(each_Det, []), t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompAP', [t('PositA', [t(great_A, [])])])])])])])])). +sent(s_004_1_p, eng, 'each Italian tenor wants to be great'). +sent(s_004_1_p, original, 'each Italian tenor wants to be great'). +sent(s_004_1_p, swe, 'varje italiensk tenor vill vara framstående'). + +tree(s_004_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(great_A, [])])])])])])])). +sent(s_004_2_p, eng, 'some Italian tenors are great'). +sent(s_004_2_p, original, 'some Italian tenors are great'). +sent(s_004_2_p, swe, 'några italienska tenorer är framstående'). + +tree(s_004_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompAP', [t('PositA', [t(great_A, [])])])])])])])])])])])])])). +sent(s_004_3_q, eng, 'are there Italian tenors who want to be great'). +sent(s_004_3_q, original, 'are there Italian tenors who want to be great'). +sent(s_004_3_q, swe, 'finns det italienska tenorer som vill vara framstående'). + +tree(s_004_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(italian_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(want_VV, []), t('UseComp', [t('CompAP', [t('PositA', [t(great_A, [])])])])])])])])])])])])). +sent(s_004_4_h, eng, 'there are Italian tenors who want to be great'). +sent(s_004_4_h, original, 'there are Italian tenors who want to be great'). +sent(s_004_4_h, swe, 'det finns italienska tenorer som vill vara framstående'). + +tree(s_005_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('AdAP', [t(really_AdA, []), t('PositA', [t(ambitious_A, [])])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(italian_A, [])])])])])])])). +sent(s_005_1_p, eng, 'the really ambitious tenors are Italian'). +sent(s_005_1_p, original, 'the really ambitious tenors are Italian'). +sent(s_005_1_p, swe, 'de verkligt ärelystna tenorerna är italienska'). + +tree(s_005_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('AdAP', [t(really_AdA, []), t('PositA', [t(ambitious_A, [])])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(italian_A, [])])])])])])])])])])])])). +sent(s_005_2_q, eng, 'are there really ambitious tenors who are Italian'). +sent(s_005_2_q, original, 'are there really ambitious tenors who are Italian'). +sent(s_005_2_q, swe, 'finns det verkligt ärelystna tenorer som är italienska'). + +tree(s_005_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('AdAP', [t(really_AdA, []), t('PositA', [t(ambitious_A, [])])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(italian_A, [])])])])])])])])])])])). +sent(s_005_3_h, eng, 'there are really ambitious tenors who are Italian'). +sent(s_005_3_h, original, 'there are really ambitious tenors who are Italian'). +sent(s_005_3_h, swe, 'det finns verkligt ärelystna tenorer som är italienska'). + +tree(s_006_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumPl', [])]), t('AdjCN', [t('AdAP', [t(really_AdA, []), t('PositA', [t(great_A, [])])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(modest_A, [])])])])])])])). +sent(s_006_1_p, eng, 'no really great tenors are modest'). +sent(s_006_1_p, original, 'no really great tenors are modest'). +sent(s_006_1_p, swe, 'inga verkligt framstående tenorer är blygsamma'). + +tree(s_006_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('AdAP', [t(really_AdA, []), t('PositA', [t(great_A, [])])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(modest_A, [])])])])])])])])])])])])). +sent(s_006_2_q, eng, 'are there really great tenors who are modest'). +sent(s_006_2_q, original, 'are there really great tenors who are modest'). +sent(s_006_2_q, swe, 'finns det verkligt framstående tenorer som är blygsamma'). + +tree(s_006_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('AdAP', [t(really_AdA, []), t('PositA', [t(great_A, [])])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(modest_A, [])])])])])])])])])])])). +sent(s_006_3_h, eng, 'there are really great tenors who are modest'). +sent(s_006_3_h, original, 'there are really great tenors who are modest'). +sent(s_006_3_h, swe, 'det finns verkligt framstående tenorer som är blygsamma'). + +tree(s_007_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(swedish_A, [])])])])])])])). +sent(s_007_1_p, eng, 'some great tenors are Swedish'). +sent(s_007_1_p, original, 'some great tenors are Swedish'). +sent(s_007_1_p, swe, 'några framstående tenorer är svenska'). + +tree(s_007_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(swedish_A, [])])])])])])])])])])])])). +sent(s_007_2_q, eng, 'are there great tenors who are Swedish'). +sent(s_007_2_q, original, 'are there great tenors who are Swedish'). +sent(s_007_2_q, swe, 'finns det framstående tenorer som är svenska'). + +tree(s_007_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(swedish_A, [])])])])])])])])])])])). +sent(s_007_3_h, eng, 'there are great tenors who are Swedish'). +sent(s_007_3_h, original, 'there are great tenors who are Swedish'). +sent(s_007_3_h, swe, 'det finns framstående tenorer som är svenska'). + +tree(s_008_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(many_Det, []), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(german_A, [])])])])])])])). +sent(s_008_1_p, eng, 'many great tenors are German'). +sent(s_008_1_p, original, 'many great tenors are German'). +sent(s_008_1_p, swe, 'många framstående tenorer är tyska'). + +tree(s_008_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(german_A, [])])])])])])])])])])])])). +sent(s_008_2_q, eng, 'are there great tenors who are German'). +sent(s_008_2_q, original, 'are there great tenors who are German'). +sent(s_008_2_q, swe, 'finns det framstående tenorer som är tyska'). + +tree(s_008_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(german_A, [])])])])])])])])])])])). +sent(s_008_3_h, eng, 'there are great tenors who are German'). +sent(s_008_3_h, original, 'there are great tenors who are German'). +sent(s_008_3_h, swe, 'det finns framstående tenorer som är tyska'). + +tree(s_009_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(several_Det, []), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(british_A, [])])])])])])])). +sent(s_009_1_p, eng, 'several great tenors are British'). +sent(s_009_1_p, original, 'several great tenors are British'). +sent(s_009_1_p, swe, 'flera framstående tenorer är brittiska'). + +tree(s_009_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(british_A, [])])])])])])])])])])])])). +sent(s_009_2_q, eng, 'are there great tenors who are British'). +sent(s_009_2_q, original, 'are there great tenors who are British'). +sent(s_009_2_q, swe, 'finns det framstående tenorer som är brittiska'). + +tree(s_009_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(british_A, [])])])])])])])])])])])). +sent(s_009_3_h, eng, 'there are great tenors who are British'). +sent(s_009_3_h, original, 'there are great tenors who are British'). +sent(s_009_3_h, swe, 'det finns framstående tenorer som är brittiska'). + +tree(s_010_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(italian_A, [])])])])])])])). +sent(s_010_1_p, eng, 'most great tenors are Italian'). +sent(s_010_1_p, original, 'most great tenors are Italian'). +sent(s_010_1_p, swe, 'de flesta framstående tenorer är italienska'). + +tree(s_010_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(italian_A, [])])])])])])])])])])])])). +sent(s_010_2_q, eng, 'are there great tenors who are Italian'). +sent(s_010_2_q, original, 'are there great tenors who are Italian'). +sent(s_010_2_q, swe, 'finns det framstående tenorer som är italienska'). + +tree(s_010_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(italian_A, [])])])])])])])])])])])). +sent(s_010_3_h, eng, 'there are great tenors who are Italian'). +sent(s_010_3_h, original, 'there are great tenors who are Italian'). +sent(s_010_3_h, swe, 'det finns framstående tenorer som är italienska'). + +tree(s_011_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(a_few_Det, []), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(sing_V2, [])]), t('MassNP', [t('UseN', [t(popular_music_N, [])])])])])])])). +sent(s_011_1_p, eng, 'a few great tenors sing popular music'). +sent(s_011_1_p, original, 'a few great tenors sing popular music'). +sent(s_011_1_p, swe, 'ett fåtal framstående tenorer sjunger populärmusik'). + +tree(s_011_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(like_V2, [])]), t('MassNP', [t('UseN', [t(popular_music_N, [])])])])])])])). +sent(s_011_2_p, eng, 'some great tenors like popular music'). +sent(s_011_2_p, original, 'some great tenors like popular music'). +sent(s_011_2_p, swe, 'några framstående tenorer gillar populärmusik'). + +tree(s_011_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(sing_V2, [])]), t('MassNP', [t('UseN', [t(popular_music_N, [])])])])])])])])])])])])). +sent(s_011_3_q, eng, 'are there great tenors who sing popular music'). +sent(s_011_3_q, original, 'are there great tenors who sing popular music'). +sent(s_011_3_q, swe, 'finns det framstående tenorer som sjunger populärmusik'). + +tree(s_011_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(sing_V2, [])]), t('MassNP', [t('UseN', [t(popular_music_N, [])])])])])])])])])])])). +sent(s_011_4_h, eng, 'there are great tenors who sing popular music'). +sent(s_011_4_h, original, 'there are great tenors who sing popular music'). +sent(s_011_4_h, swe, 'det finns framstående tenorer som sjunger populärmusik'). + +tree(s_012_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(few_Det, []), t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(poor8penniless_A, [])])])])])])])). +sent(s_012_1_p, eng, 'few great tenors are poor'). +sent(s_012_1_p, original, 'few great tenors are poor'). +sent(s_012_1_p, swe, 'få framstående tenorer är fattiga'). + +tree(s_012_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(poor8penniless_A, [])])])])])])])])])])])])). +sent(s_012_2_q, eng, 'are there great tenors who are poor'). +sent(s_012_2_q, original, 'are there great tenors who are poor'). +sent(s_012_2_q, swe, 'finns det framstående tenorer som är fattiga'). + +tree(s_012_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(great_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(poor8penniless_A, [])])])])])])])])])])])). +sent(s_012_3_h, eng, 'there are great tenors who are poor'). +sent(s_012_3_h, original, 'there are great tenors who are poor'). +sent(s_012_3_h, swe, 'det finns framstående tenorer som är fattiga'). + +tree(s_013_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(both_Det, []), t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(excellent_A, [])])])])])])])). +sent(s_013_1_p, eng, 'both leading tenors are excellent'). +sent(s_013_1_p, original, 'both leading tenors are excellent'). +sent(s_013_1_p, swe, 'båda de ledande tenorerna är förträffliga'). + +tree(s_013_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(excellent_A, [])])])])])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(indispensable_A, [])])])])])])])). +sent(s_013_2_p, eng, 'leading tenors who are excellent are indispensable'). +sent(s_013_2_p, original, 'leading tenors who are excellent are indispensable'). +sent(s_013_2_p, swe, 'ledande tenorer som är förträffliga är oumbärliga'). + +tree(s_013_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(both_Det, []), t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(indispensable_A, [])])])])])])])])). +sent(s_013_3_q, eng, 'are both leading tenors indispensable'). +sent(s_013_3_q, original, 'are both leading tenors indispensable'). +sent(s_013_3_q, swe, 'är båda de ledande tenorerna oumbärliga'). + +tree(s_013_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(both_Det, []), t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(indispensable_A, [])])])])])])])). +sent(s_013_4_h, eng, 'both leading tenors are indispensable'). +sent(s_013_4_h, original, 'both leading tenors are indispensable'). +sent(s_013_4_h, swe, 'båda de ledande tenorerna är oumbärliga'). + +tree(s_014_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(neither_Det, []), t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])])]), t(come_cheap_VP, [])])])])). +sent(s_014_1_p, eng, 'neither leading tenor comes cheap'). +sent(s_014_1_p, original, 'neither leading tenor comes cheap'). +sent(s_014_1_p, swe, 'ingen av de ledande tenorerna är billiga'). + +tree(s_014_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('AdvNP', [t('DetNP', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])])])])]), t('UseComp', [t('CompNP', [t('UsePN', [t(pavarotti_PN, [])])])])])])])). +sent(s_014_2_p, eng, 'one of the leading tenors is Pavarotti'). +sent(s_014_2_p, original, 'one of the leading tenors is Pavarotti'). +sent(s_014_2_p, swe, 'ett av de ledande tenorerna är Pavarotti'). + +tree(s_014_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(pavarotti_PN, [])]), t('UseComp', [t('CompCN', [t('RelCN', [t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t(come_cheap_VP, [])])])])])])])])])])). +sent(s_014_3_q, eng, 'is Pavarotti a leading tenor who comes cheap'). +sent(s_014_3_q, original, 'is Pavarotti a leading tenor who comes cheap'). +sent(s_014_3_q, swe, 'är Pavarotti en ledande tenor som är billig'). + +tree(s_014_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(pavarotti_PN, [])]), t('UseComp', [t('CompCN', [t('RelCN', [t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(tenor_N, [])])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t(come_cheap_VP, [])])])])])])])])])). +sent(s_014_4_h, eng, 'Pavarotti is a leading tenor who comes cheap'). +sent(s_014_4_h, original, 'Pavarotti is a leading tenor who comes cheap'). +sent(s_014_4_h, swe, 'Pavarotti är en ledande tenor som är billig'). + +tree(s_015_1_p, t('Sentence', [t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('UseN', [t(tenor_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(take_part_in_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(concert_N, [])])])])])])])). +sent(s_015_1_p, eng, 'at least three tenors will take part in the concert'). +sent(s_015_1_p, original, 'at least three tenors will take part in the concert'). +sent(s_015_1_p, swe, 'minst tre tenorer ska delta i konserten'). + +tree(s_015_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(tenor_N, [])]), t('UseRCl', [t('Future', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(take_part_in_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(concert_N, [])])])])])])])])])])])])). +sent(s_015_2_q, eng, 'are there tenors who will take part in the concert'). +sent(s_015_2_q, original, 'are there tenors who will take part in the concert'). +sent(s_015_2_q, swe, 'finns det tenorer som ska delta i konserten'). + +tree(s_015_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(tenor_N, [])]), t('UseRCl', [t('Future', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(take_part_in_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(concert_N, [])])])])])])])])])])])). +sent(s_015_3_h, eng, 'there are tenors who will take part in the concert'). +sent(s_015_3_h, original, 'there are tenors who will take part in the concert'). +sent(s_015_3_h, swe, 'det finns tenorer som ska delta i konserten'). + +tree(s_016_1_p, t('Sentence', [t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(tenor_N, [])])])]), t('ComplSlash', [t('Slash3V3', [t(contribute_to_V3, []), t('MassNP', [t('UseN', [t(charity_N, [])])])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(theyRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(fee_N, [])])])])])])])). +sent(s_016_1_p, eng, 'at most two tenors will contribute their fees to charity'). +sent(s_016_1_p, original, 'at most two tenors will contribute their fees to charity'). +sent(s_016_1_p, swe, 'högst två tenorer ska ge sina arvoden till välgörenhet'). + +tree(s_016_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(tenor_N, [])]), t('UseRCl', [t('Future', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('Slash3V3', [t(contribute_to_V3, []), t('MassNP', [t('UseN', [t(charity_N, [])])])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(theyRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(fee_N, [])])])])])])])])])])])])). +sent(s_016_2_q, eng, 'are there tenors who will contribute their fees to charity'). +sent(s_016_2_q, original, 'are there tenors who will contribute their fees to charity'). +sent(s_016_2_q, swe, 'finns det tenorer som ska ge sina arvoden till välgörenhet'). + +tree(s_016_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(tenor_N, [])]), t('UseRCl', [t('Future', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('Slash3V3', [t(contribute_to_V3, []), t('MassNP', [t('UseN', [t(charity_N, [])])])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(theyRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(fee_N, [])])])])])])])])])])])). +sent(s_016_3_h, eng, 'there are tenors who will contribute their fees to charity'). +sent(s_016_3_h, original, 'there are tenors who will contribute their fees to charity'). +sent(s_016_3_h, swe, 'det finns tenorer som ska ge sina arvoden till välgörenhet'). + +tree(s_017_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(irishman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(nobel_prize_N2, []), t('MassNP', [t('UseN', [t(literature_N, [])])])])])])])])])). +sent(s_017_1_p, eng, 'an Irishman won the Nobel prize for literature'). +sent(s_017_1_p, original, 'an Irishman won the Nobel prize for literature'). +sent(s_017_1_p, swe, 'en irländare vann nobelpriset i litteratur'). + +tree(s_017_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(irishman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(nobel_prize_N, [])])])])])])])])). +sent(s_017_2_q, eng, 'did an Irishman win a Nobel prize'). +sent(s_017_2_q, original, 'did an Irishman win a Nobel prize'). +sent(s_017_2_q, swe, 'vann en irländare ett nobelpris'). + +tree(s_017_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(irishman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(nobel_prize_N, [])])])])])])])). +sent(s_017_3_h, eng, 'an Irishman won a Nobel prize'). +sent(s_017_3_h, original, 'an Irishman won a Nobel prize'). +sent(s_017_3_h, swe, 'en irländare vann ett nobelpris'). + +tree(s_018_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(european_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_018_1_p, eng, 'every European has the right to live in Europe'). +sent(s_018_1_p, original, 'every European has the right to live in Europe'). +sent(s_018_1_p, swe, 'varje europé har rätten att bo i Europa'). + +tree(s_018_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(european_N, [])])]), t('UseComp', [t('CompCN', [t('UseN', [t(person_N, [])])])])])])])). +sent(s_018_2_p, eng, 'every European is a person'). +sent(s_018_2_p, original, 'every European is a person'). +sent(s_018_2_p, swe, 'varje europé är en människa'). + +tree(s_018_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_018_3_p, eng, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_018_3_p, original, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_018_3_p, swe, 'varje människa som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_018_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(european_N, [])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_018_4_q, eng, 'can every European travel freely within Europe'). +sent(s_018_4_q, original, 'can every European travel freely within Europe'). +sent(s_018_4_q, swe, 'kan varje europé resa fritt inom Europa'). + +tree(s_018_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(european_N, [])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_018_5_h, eng, 'every European can travel freely within Europe'). +sent(s_018_5_h, original, 'every European can travel freely within Europe'). +sent(s_018_5_h, swe, 'varje europé kan resa fritt inom Europa'). + +tree(s_019_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_019_1_p, eng, 'all Europeans have the right to live in Europe'). +sent(s_019_1_p, original, 'all Europeans have the right to live in Europe'). +sent(s_019_1_p, swe, 'alla européer har rätten att bo i Europa'). + +tree(s_019_2_p, s_018_2_p). +sent(s_019_2_p, eng, 'every European is a person'). +sent(s_019_2_p, original, 'every European is a person'). +sent(s_019_2_p, swe, 'varje europé är en människa'). + +tree(s_019_3_p, s_018_3_p). +sent(s_019_3_p, eng, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_019_3_p, original, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_019_3_p, swe, 'varje människa som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_019_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_019_4_q, eng, 'can all Europeans travel freely within Europe'). +sent(s_019_4_q, original, 'can all Europeans travel freely within Europe'). +sent(s_019_4_q, swe, 'kan alla européer resa fritt inom Europa'). + +tree(s_019_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_019_5_h, eng, 'all Europeans can travel freely within Europe'). +sent(s_019_5_h, original, 'all Europeans can travel freely within Europe'). +sent(s_019_5_h, swe, 'alla européer kan resa fritt inom Europa'). + +tree(s_020_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(each_Det, []), t('UseN', [t(european_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_020_1_p, eng, 'each European has the right to live in Europe'). +sent(s_020_1_p, original, 'each European has the right to live in Europe'). +sent(s_020_1_p, swe, 'varje europé har rätten att bo i Europa'). + +tree(s_020_2_p, s_018_2_p). +sent(s_020_2_p, eng, 'every European is a person'). +sent(s_020_2_p, original, 'every European is a person'). +sent(s_020_2_p, swe, 'varje europé är en människa'). + +tree(s_020_3_p, s_018_3_p). +sent(s_020_3_p, eng, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_020_3_p, original, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_020_3_p, swe, 'varje människa som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_020_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(each_Det, []), t('UseN', [t(european_N, [])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_020_4_q, eng, 'can each European travel freely within Europe'). +sent(s_020_4_q, original, 'can each European travel freely within Europe'). +sent(s_020_4_q, swe, 'kan varje europé resa fritt inom Europa'). + +tree(s_020_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(each_Det, []), t('UseN', [t(european_N, [])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_020_5_h, eng, 'each European can travel freely within Europe'). +sent(s_020_5_h, original, 'each European can travel freely within Europe'). +sent(s_020_5_h, swe, 'varje europé kan resa fritt inom Europa'). + +tree(s_021_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(member_state_N, [])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_021_1_p, eng, 'the residents of member states have the right to live in Europe'). +sent(s_021_1_p, original, 'the residents of member states have the right to live in Europe'). +sent(s_021_1_p, swe, 'invånarna i medlemsstater har rätten att bo i Europa'). + +tree(s_021_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(member_state_N, [])])])])])]), t('UseComp', [t('CompCN', [t('UseN', [t(individual_N, [])])])])])])])). +sent(s_021_2_p, eng, 'all residents of member states are individuals'). +sent(s_021_2_p, original, 'all residents of member states are individuals'). +sent(s_021_2_p, swe, 'alla invånare i medlemsstater är individer'). + +tree(s_021_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('RelCN', [t('UseN', [t(individual_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_021_3_p, eng, 'every individual who has the right to live in Europe can travel freely within Europe'). +sent(s_021_3_p, original, 'every individual who has the right to live in Europe can travel freely within Europe'). +sent(s_021_3_p, swe, 'varje individ som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_021_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(member_state_N, [])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_021_4_q, eng, 'can the residents of member states travel freely within Europe'). +sent(s_021_4_q, original, 'can the residents of member states travel freely within Europe'). +sent(s_021_4_q, swe, 'kan invånarna i medlemsstater resa fritt inom Europa'). + +tree(s_021_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(member_state_N, [])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_021_5_h, eng, 'the residents of member states can travel freely within Europe'). +sent(s_021_5_h, original, 'the residents of member states can travel freely within Europe'). +sent(s_021_5_h, swe, 'invånarna i medlemsstater kan resa fritt inom Europa'). + +tree(s_022_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(on_time_Adv, [])])])])])). +sent(s_022_1_p, eng, 'no delegate finished the report on time'). +sent(s_022_1_p, original, 'no delegate finished the report on time'). +sent(s_022_1_p, swe, 'ingen delegat slutförde rapporten i tid'). + +tree(s_022_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])). +sent(s_022_2_q, eng, 'did no delegate finish the report'). +sent(s_022_2_q, original, 'did no delegate finish the report'). +sent(s_022_2_q, swe, 'slutförde ingen delegat rapporten'). + +tree(s_022_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])). +sent(s_022_3_h, eng, 'no delegate finished the report'). +sent(s_022_3_h, original, 'no delegate finished the report'). +sent(s_022_3_h, swe, 'ingen delegat slutförde rapporten'). + +tree(s_023_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t(on_time_Adv, [])])])])])). +sent(s_023_1_p, eng, 'some delegates finished the survey on time'). +sent(s_023_1_p, original, 'some delegates finished the survey on time'). +sent(s_023_1_p, swe, 'några delegater slutförde undersökningen i tid'). + +tree(s_023_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])])])])])])). +sent(s_023_2_q, eng, 'did some delegates finish the survey'). +sent(s_023_2_q, original, 'did some delegates finish the survey'). +sent(s_023_2_q, swe, 'slutförde några delegater undersökningen'). + +tree(s_023_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])])])])])). +sent(s_023_3_h, eng, 'some delegates finished the survey'). +sent(s_023_3_h, original, 'some delegates finished the survey'). +sent(s_023_3_h, swe, 'några delegater slutförde undersökningen'). + +tree(s_024_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(many_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(obtain_from_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(interesting_A, [])]), t('UseN', [t(result_N, [])])])])])])])])). +sent(s_024_1_p, eng, 'many delegates obtained interesting results from the survey'). +sent(s_024_1_p, original, 'many delegates obtained interesting results from the survey'). +sent(s_024_1_p, swe, 'många delegater erhöll intressanta resultat från undersökningen'). + +tree(s_024_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(many_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(obtain_from_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])])])])])])])). +sent(s_024_2_q, eng, 'did many delegates obtain results from the survey'). +sent(s_024_2_q, original, 'did many delegates obtain results from the survey'). +sent(s_024_2_q, swe, 'erhöll många delegater resultat från undersökningen'). + +tree(s_024_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(many_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(obtain_from_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])])])])])])). +sent(s_024_3_h, eng, 'many delegates obtained results from the survey'). +sent(s_024_3_h, original, 'many delegates obtained results from the survey'). +sent(s_024_3_h, swe, 'många delegater erhöll resultat från undersökningen'). + +tree(s_025_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(several_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])]), t(publish_V2, [])])]), t('PrepNP', [t(in_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(national_A, [])]), t('UseN', [t(newspaper_N, [])])])])])])])])])])). +sent(s_025_1_p, eng, 'several delegates got the results published in major national newspapers'). +sent(s_025_1_p, original, 'several delegates got the results published in major national newspapers'). +sent(s_025_1_p, swe, 'flera delegater fick resultaten publicerade i större nationella tidningar'). + +tree(s_025_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(several_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])]), t(publish_V2, [])])])])])])])). +sent(s_025_2_q, eng, 'did several delegates get the results published'). +sent(s_025_2_q, original, 'did several delegates get the results published'). +sent(s_025_2_q, swe, 'fick flera delegater resultaten publicerade'). + +tree(s_025_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(several_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])]), t(publish_V2, [])])])])])])). +sent(s_025_3_h, eng, 'several delegates got the results published'). +sent(s_025_3_h, original, 'several delegates got the results published'). +sent(s_025_3_h, swe, 'flera delegater fick resultaten publicerade'). + +tree(s_026_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('UseComp', [t('CompAP', [t('AdvAP', [t('PositA', [t(resident_A, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_026_1_p, eng, 'most Europeans are resident in Europe'). +sent(s_026_1_p, original, 'most Europeans are resident in Europe'). +sent(s_026_1_p, swe, 'de flesta européer är bosatta i Europa'). + +tree(s_026_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('UseComp', [t('CompCN', [t('UseN', [t(person_N, [])])])])])])])). +sent(s_026_2_p, eng, 'all Europeans are people'). +sent(s_026_2_p, original, 'all Europeans are people'). +sent(s_026_2_p, swe, 'alla européer är människor'). + +tree(s_026_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('AdvAP', [t('PositA', [t(resident_A, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_026_3_p, eng, 'all people who are resident in Europe can travel freely within Europe'). +sent(s_026_3_p, original, 'all people who are resident in Europe can travel freely within Europe'). +sent(s_026_3_p, swe, 'alla människor som är bosatta i Europa kan resa fritt inom Europa'). + +tree(s_026_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_026_4_q, eng, 'can most Europeans travel freely within Europe'). +sent(s_026_4_q, original, 'can most Europeans travel freely within Europe'). +sent(s_026_4_q, swe, 'kan de flesta européer resa fritt inom Europa'). + +tree(s_026_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_026_5_h, eng, 'most Europeans can travel freely within Europe'). +sent(s_026_5_h, original, 'most Europeans can travel freely within Europe'). +sent(s_026_5_h, swe, 'de flesta européer kan resa fritt inom Europa'). + +tree(s_027_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(a_few_Det, []), t('UseN', [t(committee_member_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(sweden_PN, [])])])])])])])])). +sent(s_027_1_p, eng, 'a few committee members are from Sweden'). +sent(s_027_1_p, original, 'a few committee members are from Sweden'). +sent(s_027_1_p, swe, 'ett fåtal kommittémedlemmar är från Sverige'). + +tree(s_027_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompCN', [t('UseN', [t(person_N, [])])])])])])])). +sent(s_027_2_p, eng, 'all committee members are people'). +sent(s_027_2_p, original, 'all committee members are people'). +sent(s_027_2_p, swe, 'alla kommittémedlemmar är människor'). + +tree(s_027_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(sweden_PN, [])])])])])])])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])). +sent(s_027_3_p, eng, 'all people who are from Sweden are from Scandinavia'). +sent(s_027_3_p, original, 'all people who are from Sweden are from Scandinavia'). +sent(s_027_3_p, swe, 'alla människor som är från Sverige är från Skandinavien'). + +tree(s_027_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t(a_few_Det, []), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])])). +sent(s_027_4_q, eng, 'are at least a few committee members from Scandinavia'). +sent(s_027_4_q, original, 'are at least a few committee members from Scandinavia'). +sent(s_027_4_q, swe, 'är minst ett fåtal kommittémedlemmar från Skandinavien'). + +tree(s_027_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t(a_few_Det, []), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])). +sent(s_027_5_h, eng, 'at least a few committee members are from Scandinavia'). +sent(s_027_5_h, original, 'at least a few committee members are from Scandinavia'). +sent(s_027_5_h, swe, 'minst ett fåtal kommittémedlemmar är från Skandinavien'). + +tree(s_028_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(few_Det, []), t('UseN', [t(committee_member_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(portugal_PN, [])])])])])])])])). +sent(s_028_1_p, eng, 'few committee members are from Portugal'). +sent(s_028_1_p, original, 'few committee members are from Portugal'). +sent(s_028_1_p, swe, 'få kommittémedlemmar är från Portugal'). + +tree(s_028_2_p, s_027_2_p). +sent(s_028_2_p, eng, 'all committee members are people'). +sent(s_028_2_p, original, 'all committee members are people'). +sent(s_028_2_p, swe, 'alla kommittémedlemmar är människor'). + +tree(s_028_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(portugal_PN, [])])])])])])])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])). +sent(s_028_3_p, eng, 'all people who are from Portugal are from southern Europe'). +sent(s_028_3_p, original, 'all people who are from Portugal are from southern Europe'). +sent(s_028_3_p, swe, 'alla människor som är från Portugal är från södra Europa'). + +tree(s_028_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t(few_Det, []), t('AdvCN', [t('UseN', [t(committee_member_N, [])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])])). +sent(s_028_4_q, eng, 'are there few committee members from southern Europe'). +sent(s_028_4_q, original, 'are there few committee members from southern Europe'). +sent(s_028_4_q, swe, 'finns det få kommittémedlemmar från södra Europa'). + +tree(s_028_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t(few_Det, []), t('AdvCN', [t('UseN', [t(committee_member_N, [])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])). +sent(s_028_5_h, eng, 'there are few committee members from southern Europe'). +sent(s_028_5_h, original, 'there are few committee members from southern Europe'). +sent(s_028_5_h, swe, 'det finns få kommittémedlemmar från södra Europa'). + +tree(s_029_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(both_Det, []), t('UseN', [t(commissioner_N, [])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(businessman_N, [])])])])])])])])])). +sent(s_029_1_p, eng, 'both commissioners used to be leading businessmen'). +sent(s_029_1_p, original, 'both commissioners used to be leading businessmen'). +sent(s_029_1_p, swe, 'båda ombuden brukade vara ledande affärsmän'). + +tree(s_029_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(both_Det, []), t('UseN', [t(commissioner_N, [])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompCN', [t('UseN', [t(businessman_N, [])])])])])])])])])). +sent(s_029_2_q, eng, 'did both commissioners used to be businessmen'). +sent(s_029_2_q, original, 'did both commissioners used to be businessmen'). +sent(s_029_2_q, swe, 'brukade båda ombuden vara affärsmän'). + +tree(s_029_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(both_Det, []), t('UseN', [t(commissioner_N, [])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompCN', [t('UseN', [t(businessman_N, [])])])])])])])])). +sent(s_029_3_h, eng, 'both commissioners used to be businessmen'). +sent(s_029_3_h, original, 'both commissioners used to be businessmen'). +sent(s_029_3_h, swe, 'båda ombuden brukade vara affärsmän'). + +tree(s_030_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(neither_Det, []), t('UseN', [t(commissioner_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_030_1_p, eng, 'neither commissioner spends a lot of time at home'). +sent(s_030_1_p, original, 'neither commissioner spends a lot of time at home'). +sent(s_030_1_p, swe, 'inget av ombuden tillbringar mycket tid hemma'). + +tree(s_030_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(neither_Det, []), t('UseN', [t(commissioner_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_030_2_q, eng, 'does neither commissioner spend time at home'). +sent(s_030_2_q, original, 'does neither commissioner spend time at home'). +sent(s_030_2_q, swe, 'tillbringar inget av ombuden tid hemma'). + +tree(s_030_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(neither_Det, []), t('UseN', [t(commissioner_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_030_3_h, eng, 'neither commissioner spends time at home'). +sent(s_030_3_h, original, 'neither commissioner spends time at home'). +sent(s_030_3_h, swe, 'inget av ombuden tillbringar tid hemma'). + +tree(s_031_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_031_1_p, eng, 'at least three commissioners spend a lot of time at home'). +sent(s_031_1_p, original, 'at least three commissioners spend a lot of time at home'). +sent(s_031_1_p, swe, 'minst tre ombud tillbringar mycket tid hemma'). + +tree(s_031_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_031_2_q, eng, 'do at least three commissioners spend time at home'). +sent(s_031_2_q, original, 'do at least three commissioners spend time at home'). +sent(s_031_2_q, swe, 'tillbringar minst tre ombud tid hemma'). + +tree(s_031_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_031_3_h, eng, 'at least three commissioners spend time at home'). +sent(s_031_3_h, original, 'at least three commissioners spend time at home'). +sent(s_031_3_h, swe, 'minst tre ombud tillbringar tid hemma'). + +tree(s_032_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_032_1_p, eng, 'at most ten commissioners spend a lot of time at home'). +sent(s_032_1_p, original, 'at most ten commissioners spend a lot of time at home'). +sent(s_032_1_p, swe, 'högst tio ombud tillbringar mycket tid hemma'). + +tree(s_032_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_032_2_q, eng, 'do at most ten commissioners spend time at home'). +sent(s_032_2_q, original, 'do at most ten commissioners spend time at home'). +sent(s_032_2_q, swe, 'tillbringar högst tio ombud tid hemma'). + +tree(s_032_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_032_3_h, eng, 'at most ten commissioners spend time at home'). +sent(s_032_3_h, original, 'at most ten commissioners spend time at home'). +sent(s_032_3_h, swe, 'högst tio ombud tillbringar tid hemma'). + +tree(s_033_1_p, s_017_3_h). +sent(s_033_1_p, eng, 'an Irishman won a Nobel prize'). +sent(s_033_1_p, original, 'an Irishman won a Nobel prize'). +sent(s_033_1_p, swe, 'en irländare vann ett nobelpris'). + +tree(s_033_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(irishman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(nobel_prize_N2, []), t('MassNP', [t('UseN', [t(literature_N, [])])])])])])])])])])). +sent(s_033_2_q, eng, 'did an Irishman win the Nobel prize for literature'). +sent(s_033_2_q, original, 'did an Irishman win the Nobel prize for literature'). +sent(s_033_2_q, swe, 'vann en irländare nobelpriset i litteratur'). + +tree(s_033_3_h, s_017_1_p). +sent(s_033_3_h, eng, 'an Irishman won the Nobel prize for literature'). +sent(s_033_3_h, original, 'an Irishman won the Nobel prize for literature'). +sent(s_033_3_h, swe, 'en irländare vann nobelpriset i litteratur'). + +tree(s_034_1_p, s_018_5_h). +sent(s_034_1_p, eng, 'every European can travel freely within Europe'). +sent(s_034_1_p, original, 'every European can travel freely within Europe'). +sent(s_034_1_p, swe, 'varje europé kan resa fritt inom Europa'). + +tree(s_034_2_p, s_018_2_p). +sent(s_034_2_p, eng, 'every European is a person'). +sent(s_034_2_p, original, 'every European is a person'). +sent(s_034_2_p, swe, 'varje europé är en människa'). + +tree(s_034_3_p, s_018_3_p). +sent(s_034_3_p, eng, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_034_3_p, original, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_034_3_p, swe, 'varje människa som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_034_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(european_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])])). +sent(s_034_4_q, eng, 'does every European have the right to live in Europe'). +sent(s_034_4_q, original, 'does every European have the right to live in Europe'). +sent(s_034_4_q, swe, 'har varje europé rätten att bo i Europa'). + +tree(s_034_5_h, s_018_1_p). +sent(s_034_5_h, eng, 'every European has the right to live in Europe'). +sent(s_034_5_h, original, 'every European has the right to live in Europe'). +sent(s_034_5_h, swe, 'varje europé har rätten att bo i Europa'). + +tree(s_035_1_p, s_019_5_h). +sent(s_035_1_p, eng, 'all Europeans can travel freely within Europe'). +sent(s_035_1_p, original, 'all Europeans can travel freely within Europe'). +sent(s_035_1_p, swe, 'alla européer kan resa fritt inom Europa'). + +tree(s_035_2_p, s_018_2_p). +sent(s_035_2_p, eng, 'every European is a person'). +sent(s_035_2_p, original, 'every European is a person'). +sent(s_035_2_p, swe, 'varje europé är en människa'). + +tree(s_035_3_p, s_018_3_p). +sent(s_035_3_p, eng, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_035_3_p, original, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_035_3_p, swe, 'varje människa som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_035_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])])). +sent(s_035_4_q, eng, 'do all Europeans have the right to live in Europe'). +sent(s_035_4_q, original, 'do all Europeans have the right to live in Europe'). +sent(s_035_4_q, swe, 'har alla européer rätten att bo i Europa'). + +tree(s_035_5_h, s_019_1_p). +sent(s_035_5_h, eng, 'all Europeans have the right to live in Europe'). +sent(s_035_5_h, original, 'all Europeans have the right to live in Europe'). +sent(s_035_5_h, swe, 'alla européer har rätten att bo i Europa'). + +tree(s_036_1_p, s_020_5_h). +sent(s_036_1_p, eng, 'each European can travel freely within Europe'). +sent(s_036_1_p, original, 'each European can travel freely within Europe'). +sent(s_036_1_p, swe, 'varje europé kan resa fritt inom Europa'). + +tree(s_036_2_p, s_018_2_p). +sent(s_036_2_p, eng, 'every European is a person'). +sent(s_036_2_p, original, 'every European is a person'). +sent(s_036_2_p, swe, 'varje europé är en människa'). + +tree(s_036_3_p, s_018_3_p). +sent(s_036_3_p, eng, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_036_3_p, original, 'every person who has the right to live in Europe can travel freely within Europe'). +sent(s_036_3_p, swe, 'varje människa som har rätten att bo i Europa kan resa fritt inom Europa'). + +tree(s_036_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(each_Det, []), t('UseN', [t(european_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])])). +sent(s_036_4_q, eng, 'does each European have the right to live in Europe'). +sent(s_036_4_q, original, 'does each European have the right to live in Europe'). +sent(s_036_4_q, swe, 'har varje europé rätten att bo i Europa'). + +tree(s_036_5_h, s_020_1_p). +sent(s_036_5_h, eng, 'each European has the right to live in Europe'). +sent(s_036_5_h, original, 'each European has the right to live in Europe'). +sent(s_036_5_h, swe, 'varje europé har rätten att bo i Europa'). + +tree(s_037_1_p, s_021_5_h). +sent(s_037_1_p, eng, 'the residents of member states can travel freely within Europe'). +sent(s_037_1_p, original, 'the residents of member states can travel freely within Europe'). +sent(s_037_1_p, swe, 'invånarna i medlemsstater kan resa fritt inom Europa'). + +tree(s_037_2_p, s_021_2_p). +sent(s_037_2_p, eng, 'all residents of member states are individuals'). +sent(s_037_2_p, original, 'all residents of member states are individuals'). +sent(s_037_2_p, swe, 'alla invånare i medlemsstater är individer'). + +tree(s_037_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('RelCN', [t('UseN', [t(individual_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t(anywhere_Adv, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_037_3_p, eng, 'every individual who has the right to live anywhere in Europe can travel freely within Europe'). +sent(s_037_3_p, original, 'every individual who has the right to live anywhere in Europe can travel freely within Europe'). +sent(s_037_3_p, swe, 'varje individ som har rätten att bo var som helst i Europa kan resa fritt inom Europa'). + +tree(s_037_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(member_state_N, [])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t(anywhere_Adv, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])])). +sent(s_037_4_q, eng, 'do the residents of member states have the right to live anywhere in Europe'). +sent(s_037_4_q, original, 'do the residents of member states have the right to live anywhere in Europe'). +sent(s_037_4_q, swe, 'har invånarna i medlemsstater rätten att bo var som helst i Europa'). + +tree(s_037_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(member_state_N, [])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t(anywhere_Adv, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_037_5_h, eng, 'the residents of member states have the right to live anywhere in Europe'). +sent(s_037_5_h, original, 'the residents of member states have the right to live anywhere in Europe'). +sent(s_037_5_h, swe, 'invånarna i medlemsstater har rätten att bo var som helst i Europa'). + +tree(s_038_1_p, s_022_3_h). +sent(s_038_1_p, eng, 'no delegate finished the report'). +sent(s_038_1_p, original, 'no delegate finished the report'). +sent(s_038_1_p, swe, 'ingen delegat slutförde rapporten'). + +tree(s_038_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(anySg_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(on_time_Adv, [])])])])])])). +sent(s_038_2_q, eng, 'did any delegate finish the report on time'). +sent(s_038_2_q, original, 'did any delegate finish the report on time'). +sent(s_038_2_q, swe, 'slutförde någon delegat rapporten i tid'). + +tree(s_038_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(someSg_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(on_time_Adv, [])])])])])). +sent(s_038_3_h, eng, 'some delegate finished the report on time'). +sent(s_038_3_h, original, 'some delegate finished the report on time'). +sent(s_038_3_h, swe, 'någon delegat slutförde rapporten i tid'). + +tree(s_039_1_p, s_023_3_h). +sent(s_039_1_p, eng, 'some delegates finished the survey'). +sent(s_039_1_p, original, 'some delegates finished the survey'). +sent(s_039_1_p, swe, 'några delegater slutförde undersökningen'). + +tree(s_039_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t(on_time_Adv, [])])])])])])). +sent(s_039_2_q, eng, 'did some delegates finish the survey on time'). +sent(s_039_2_q, original, 'did some delegates finish the survey on time'). +sent(s_039_2_q, swe, 'slutförde några delegater undersökningen i tid'). + +tree(s_039_3_h, s_023_1_p). +sent(s_039_3_h, eng, 'some delegates finished the survey on time'). +sent(s_039_3_h, original, 'some delegates finished the survey on time'). +sent(s_039_3_h, swe, 'några delegater slutförde undersökningen i tid'). + +tree(s_040_1_p, s_024_3_h). +sent(s_040_1_p, eng, 'many delegates obtained results from the survey'). +sent(s_040_1_p, original, 'many delegates obtained results from the survey'). +sent(s_040_1_p, swe, 'många delegater erhöll resultat från undersökningen'). + +tree(s_040_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(many_Det, []), t('UseN', [t(delegate_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(obtain_from_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(interesting_A, [])]), t('UseN', [t(result_N, [])])])])])])])])])). +sent(s_040_2_q, eng, 'did many delegates obtain interesting results from the survey'). +sent(s_040_2_q, original, 'did many delegates obtain interesting results from the survey'). +sent(s_040_2_q, swe, 'erhöll många delegater intressanta resultat från undersökningen'). + +tree(s_040_3_h, s_024_1_p). +sent(s_040_3_h, eng, 'many delegates obtained interesting results from the survey'). +sent(s_040_3_h, original, 'many delegates obtained interesting results from the survey'). +sent(s_040_3_h, swe, 'många delegater erhöll intressanta resultat från undersökningen'). + +tree(s_041_1_p, s_025_3_h). +sent(s_041_1_p, eng, 'several delegates got the results published'). +sent(s_041_1_p, original, 'several delegates got the results published'). +sent(s_041_1_p, swe, 'flera delegater fick resultaten publicerade'). + +tree(s_041_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(several_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])]), t(publish_V2, [])])]), t('PrepNP', [t(in_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(national_A, [])]), t('UseN', [t(newspaper_N, [])])])])])])])])])])])). +sent(s_041_2_q, eng, 'did several delegates get the results published in major national newspapers'). +sent(s_041_2_q, original, 'did several delegates get the results published in major national newspapers'). +sent(s_041_2_q, swe, 'fick flera delegater resultaten publicerade i större nationella tidningar'). + +tree(s_041_3_h, s_025_1_p). +sent(s_041_3_h, eng, 'several delegates got the results published in major national newspapers'). +sent(s_041_3_h, original, 'several delegates got the results published in major national newspapers'). +sent(s_041_3_h, swe, 'flera delegater fick resultaten publicerade i större nationella tidningar'). + +tree(s_042_1_p, s_026_5_h). +sent(s_042_1_p, eng, 'most Europeans can travel freely within Europe'). +sent(s_042_1_p, original, 'most Europeans can travel freely within Europe'). +sent(s_042_1_p, swe, 'de flesta européer kan resa fritt inom Europa'). + +tree(s_042_2_p, s_026_2_p). +sent(s_042_2_p, eng, 'all Europeans are people'). +sent(s_042_2_p, original, 'all Europeans are people'). +sent(s_042_2_p, swe, 'alla européer är människor'). + +tree(s_042_3_p, s_026_3_p). +sent(s_042_3_p, eng, 'all people who are resident in Europe can travel freely within Europe'). +sent(s_042_3_p, original, 'all people who are resident in Europe can travel freely within Europe'). +sent(s_042_3_p, swe, 'alla människor som är bosatta i Europa kan resa fritt inom Europa'). + +tree(s_042_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(european_N, [])])])]), t('UseComp', [t('CompAP', [t('AdvAP', [t('PositA', [t(resident_A, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])). +sent(s_042_4_q, eng, 'are most Europeans resident in Europe'). +sent(s_042_4_q, original, 'are most Europeans resident in Europe'). +sent(s_042_4_q, swe, 'är de flesta européer bosatta i Europa'). + +tree(s_042_5_h, s_026_1_p). +sent(s_042_5_h, eng, 'most Europeans are resident in Europe'). +sent(s_042_5_h, original, 'most Europeans are resident in Europe'). +sent(s_042_5_h, swe, 'de flesta européer är bosatta i Europa'). + +tree(s_043_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(a_few_Det, []), t('UseN', [t(committee_member_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])). +sent(s_043_1_p, eng, 'a few committee members are from Scandinavia'). +sent(s_043_1_p, original, 'a few committee members are from Scandinavia'). +sent(s_043_1_p, swe, 'ett fåtal kommittémedlemmar är från Skandinavien'). + +tree(s_043_2_p, s_027_2_p). +sent(s_043_2_p, eng, 'all committee members are people'). +sent(s_043_2_p, original, 'all committee members are people'). +sent(s_043_2_p, swe, 'alla kommittémedlemmar är människor'). + +tree(s_043_3_p, s_027_3_p). +sent(s_043_3_p, eng, 'all people who are from Sweden are from Scandinavia'). +sent(s_043_3_p, original, 'all people who are from Sweden are from Scandinavia'). +sent(s_043_3_p, swe, 'alla människor som är från Sverige är från Skandinavien'). + +tree(s_043_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t(a_few_Det, []), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(sweden_PN, [])])])])])])])])])). +sent(s_043_4_q, eng, 'are at least a few committee members from Sweden'). +sent(s_043_4_q, original, 'are at least a few committee members from Sweden'). +sent(s_043_4_q, swe, 'är minst ett fåtal kommittémedlemmar från Sverige'). + +tree(s_043_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t(a_few_Det, []), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(sweden_PN, [])])])])])])])])). +sent(s_043_5_h, eng, 'at least a few committee members are from Sweden'). +sent(s_043_5_h, original, 'at least a few committee members are from Sweden'). +sent(s_043_5_h, swe, 'minst ett fåtal kommittémedlemmar är från Sverige'). + +tree(s_044_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(few_Det, []), t('UseN', [t(committee_member_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])). +sent(s_044_1_p, eng, 'few committee members are from southern Europe'). +sent(s_044_1_p, original, 'few committee members are from southern Europe'). +sent(s_044_1_p, swe, 'få kommittémedlemmar är från södra Europa'). + +tree(s_044_2_p, s_027_2_p). +sent(s_044_2_p, eng, 'all committee members are people'). +sent(s_044_2_p, original, 'all committee members are people'). +sent(s_044_2_p, swe, 'alla kommittémedlemmar är människor'). + +tree(s_044_3_p, s_028_3_p). +sent(s_044_3_p, eng, 'all people who are from Portugal are from southern Europe'). +sent(s_044_3_p, original, 'all people who are from Portugal are from southern Europe'). +sent(s_044_3_p, swe, 'alla människor som är från Portugal är från södra Europa'). + +tree(s_044_4_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t(few_Det, []), t('AdvCN', [t('UseN', [t(committee_member_N, [])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(portugal_PN, [])])])])])])])])])). +sent(s_044_4_q, eng, 'are there few committee members from Portugal'). +sent(s_044_4_q, original, 'are there few committee members from Portugal'). +sent(s_044_4_q, swe, 'finns det få kommittémedlemmar från Portugal'). + +tree(s_044_5_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t(few_Det, []), t('AdvCN', [t('UseN', [t(committee_member_N, [])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(portugal_PN, [])])])])])])])])). +sent(s_044_5_h, eng, 'there are few committee members from Portugal'). +sent(s_044_5_h, original, 'there are few committee members from Portugal'). +sent(s_044_5_h, swe, 'det finns få kommittémedlemmar från Portugal'). + +tree(s_045_1_p, s_029_3_h). +sent(s_045_1_p, eng, 'both commissioners used to be businessmen'). +sent(s_045_1_p, original, 'both commissioners used to be businessmen'). +sent(s_045_1_p, swe, 'båda ombuden brukade vara affärsmän'). + +tree(s_045_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(both_Det, []), t('UseN', [t(commissioner_N, [])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(leading_A, [])]), t('UseN', [t(businessman_N, [])])])])])])])])])])). +sent(s_045_2_q, eng, 'did both commissioners used to be leading businessmen'). +sent(s_045_2_q, original, 'did both commissioners used to be leading businessmen'). +sent(s_045_2_q, swe, 'brukade båda ombuden vara ledande affärsmän'). + +tree(s_045_3_h, s_029_1_p). +sent(s_045_3_h, eng, 'both commissioners used to be leading businessmen'). +sent(s_045_3_h, original, 'both commissioners used to be leading businessmen'). +sent(s_045_3_h, swe, 'båda ombuden brukade vara ledande affärsmän'). + +tree(s_046_1_p, s_030_3_h). +sent(s_046_1_p, eng, 'neither commissioner spends time at home'). +sent(s_046_1_p, original, 'neither commissioner spends time at home'). +sent(s_046_1_p, swe, 'inget av ombuden tillbringar tid hemma'). + +tree(s_046_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(either_Det, []), t('UseN', [t(commissioner_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_046_2_q, eng, 'does either commissioner spend a lot of time at home'). +sent(s_046_2_q, original, 'does either commissioner spend a lot of time at home'). +sent(s_046_2_q, swe, 'tillbringar något av ombuden mycket tid hemma'). + +tree(s_046_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('AdvNP', [t('DetNP', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(commissioner_N, [])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_046_3_h, eng, 'one of the commissioners spends a lot of time at home'). +sent(s_046_3_h, original, 'one of the commissioners spends a lot of time at home'). +sent(s_046_3_h, swe, 'ett av ombuden tillbringar mycket tid hemma'). + +tree(s_047_1_p, s_031_3_h). +sent(s_047_1_p, eng, 'at least three commissioners spend time at home'). +sent(s_047_1_p, original, 'at least three commissioners spend time at home'). +sent(s_047_1_p, swe, 'minst tre ombud tillbringar tid hemma'). + +tree(s_047_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_047_2_q, eng, 'do at least three commissioners spend a lot of time at home'). +sent(s_047_2_q, original, 'do at least three commissioners spend a lot of time at home'). +sent(s_047_2_q, swe, 'tillbringar minst tre ombud mycket tid hemma'). + +tree(s_047_3_h, s_031_1_p). +sent(s_047_3_h, eng, 'at least three commissioners spend a lot of time at home'). +sent(s_047_3_h, original, 'at least three commissioners spend a lot of time at home'). +sent(s_047_3_h, swe, 'minst tre ombud tillbringar mycket tid hemma'). + +tree(s_048_1_p, s_032_3_h). +sent(s_048_1_p, eng, 'at most ten commissioners spend time at home'). +sent(s_048_1_p, original, 'at most ten commissioners spend time at home'). +sent(s_048_1_p, swe, 'högst tio ombud tillbringar tid hemma'). + +tree(s_048_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_048_2_q, eng, 'do at most ten commissioners spend a lot of time at home'). +sent(s_048_2_q, original, 'do at most ten commissioners spend a lot of time at home'). +sent(s_048_2_q, swe, 'tillbringar högst tio ombud mycket tid hemma'). + +tree(s_048_3_h, s_032_1_p). +sent(s_048_3_h, eng, 'at most ten commissioners spend a lot of time at home'). +sent(s_048_3_h, original, 'at most ten commissioners spend a lot of time at home'). +sent(s_048_3_h, swe, 'högst tio ombud tillbringar mycket tid hemma'). + +tree(s_049_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(swede_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(nobel_prize_N, [])])])])])])])). +sent(s_049_1_p, eng, 'a Swede won a Nobel prize'). +sent(s_049_1_p, original, 'a Swede won a Nobel prize'). +sent(s_049_1_p, swe, 'en svensk vann ett nobelpris'). + +tree(s_049_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(swede_N, [])])]), t('UseComp', [t('CompCN', [t('UseN', [t(scandinavian_N, [])])])])])])])). +sent(s_049_2_p, eng, 'every Swede is a Scandinavian'). +sent(s_049_2_p, original, 'every Swede is a Scandinavian'). +sent(s_049_2_p, swe, 'varje svensk är en skandinav'). + +tree(s_049_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(scandinavian_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(nobel_prize_N, [])])])])])])])])). +sent(s_049_3_q, eng, 'did a Scandinavian win a Nobel prize'). +sent(s_049_3_q, original, 'did a Scandinavian win a Nobel prize'). +sent(s_049_3_q, swe, 'vann en skandinav ett nobelpris'). + +tree(s_049_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(scandinavian_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(nobel_prize_N, [])])])])])])])). +sent(s_049_4_h, eng, 'a Scandinavian won a Nobel prize'). +sent(s_049_4_h, original, 'a Scandinavian won a Nobel prize'). +sent(s_049_4_h, swe, 'en skandinav vann ett nobelpris'). + +tree(s_050_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_050_1_p, eng, 'every Canadian resident can travel freely within Europe'). +sent(s_050_1_p, original, 'every Canadian resident can travel freely within Europe'). +sent(s_050_1_p, swe, 'varje kanadensisk invånare kan resa fritt inom Europa'). + +tree(s_050_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])]), t('UseComp', [t('CompCN', [t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])])])])])])). +sent(s_050_2_p, eng, 'every Canadian resident is a resident of the North American continent'). +sent(s_050_2_p, original, 'every Canadian resident is a resident of the North American continent'). +sent(s_050_2_p, swe, 'varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten'). + +tree(s_050_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_050_3_q, eng, 'can every resident of the North American continent travel freely within Europe'). +sent(s_050_3_q, original, 'can every resident of the North American continent travel freely within Europe'). +sent(s_050_3_q, swe, 'kan varje invånare på den nordamerikanska kontinenten resa fritt inom Europa'). + +tree(s_050_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_050_4_h, eng, 'every resident of the North American continent can travel freely within Europe'). +sent(s_050_4_h, original, 'every resident of the North American continent can travel freely within Europe'). +sent(s_050_4_h, swe, 'varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa'). + +tree(s_051_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_051_1_p, eng, 'all Canadian residents can travel freely within Europe'). +sent(s_051_1_p, original, 'all Canadian residents can travel freely within Europe'). +sent(s_051_1_p, swe, 'alla kanadensiska invånare kan resa fritt inom Europa'). + +tree(s_051_2_p, s_050_2_p). +sent(s_051_2_p, eng, 'every Canadian resident is a resident of the North American continent'). +sent(s_051_2_p, original, 'every Canadian resident is a resident of the North American continent'). +sent(s_051_2_p, swe, 'varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten'). + +tree(s_051_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_051_3_q, eng, 'can all residents of the North American continent travel freely within Europe'). +sent(s_051_3_q, original, 'can all residents of the North American continent travel freely within Europe'). +sent(s_051_3_q, swe, 'kan alla invånare på den nordamerikanska kontinenten resa fritt inom Europa'). + +tree(s_051_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_051_4_h, eng, 'all residents of the North American continent can travel freely within Europe'). +sent(s_051_4_h, original, 'all residents of the North American continent can travel freely within Europe'). +sent(s_051_4_h, swe, 'alla invånare på den nordamerikanska kontinenten kan resa fritt inom Europa'). + +tree(s_052_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(each_Det, []), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_052_1_p, eng, 'each Canadian resident can travel freely within Europe'). +sent(s_052_1_p, original, 'each Canadian resident can travel freely within Europe'). +sent(s_052_1_p, swe, 'varje kanadensisk invånare kan resa fritt inom Europa'). + +tree(s_052_2_p, s_050_2_p). +sent(s_052_2_p, eng, 'every Canadian resident is a resident of the North American continent'). +sent(s_052_2_p, original, 'every Canadian resident is a resident of the North American continent'). +sent(s_052_2_p, swe, 'varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten'). + +tree(s_052_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(each_Det, []), t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_052_3_q, eng, 'can each resident of the North American continent travel freely within Europe'). +sent(s_052_3_q, original, 'can each resident of the North American continent travel freely within Europe'). +sent(s_052_3_q, swe, 'kan varje invånare på den nordamerikanska kontinenten resa fritt inom Europa'). + +tree(s_052_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(each_Det, []), t('ComplN2', [t(resident_on_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(north_american_A, [])]), t('UseN', [t(continent_N, [])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_052_4_h, eng, 'each resident of the North American continent can travel freely within Europe'). +sent(s_052_4_h, original, 'each resident of the North American continent can travel freely within Europe'). +sent(s_052_4_h, swe, 'varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa'). + +tree(s_053_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_053_1_p, eng, 'the residents of major western countries can travel freely within Europe'). +sent(s_053_1_p, original, 'the residents of major western countries can travel freely within Europe'). +sent(s_053_1_p, swe, 'invånarna i större västerländska länder kan resa fritt inom Europa'). + +tree(s_053_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])])])]), t('UseComp', [t('CompCN', [t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])])])])])])). +sent(s_053_2_p, eng, 'all residents of major western countries are residents of western countries'). +sent(s_053_2_p, original, 'all residents of major western countries are residents of western countries'). +sent(s_053_2_p, swe, 'alla invånare i större västerländska länder är invånare i västerländska länder'). + +tree(s_053_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])])). +sent(s_053_3_q, eng, 'do the residents of western countries have the right to live in Europe'). +sent(s_053_3_q, original, 'do the residents of western countries have the right to live in Europe'). +sent(s_053_3_q, swe, 'har invånarna i västerländska länder rätten att bo i Europa'). + +tree(s_053_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_053_4_h, eng, 'the residents of western countries have the right to live in Europe'). +sent(s_053_4_h, original, 'the residents of western countries have the right to live in Europe'). +sent(s_053_4_h, swe, 'invånarna i västerländska länder har rätten att bo i Europa'). + +tree(s_054_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(scandinavian_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(on_time_Adv, [])])])])])). +sent(s_054_1_p, eng, 'no Scandinavian delegate finished the report on time'). +sent(s_054_1_p, original, 'no Scandinavian delegate finished the report on time'). +sent(s_054_1_p, swe, 'ingen skandinavisk delegat slutförde rapporten i tid'). + +tree(s_054_2_q, s_038_2_q). +sent(s_054_2_q, eng, 'did any delegate finish the report on time'). +sent(s_054_2_q, original, 'did any delegate finish the report on time'). +sent(s_054_2_q, swe, 'slutförde någon delegat rapporten i tid'). + +tree(s_054_3_h, s_038_3_h). +sent(s_054_3_h, eng, 'some delegate finished the report on time'). +sent(s_054_3_h, original, 'some delegate finished the report on time'). +sent(s_054_3_h, swe, 'någon delegat slutförde rapporten i tid'). + +tree(s_055_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('AdjCN', [t('PositA', [t(irish_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t(on_time_Adv, [])])])])])). +sent(s_055_1_p, eng, 'some Irish delegates finished the survey on time'). +sent(s_055_1_p, original, 'some Irish delegates finished the survey on time'). +sent(s_055_1_p, swe, 'några irländska delegater slutförde undersökningen i tid'). + +tree(s_055_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(anyPl_Det, []), t('UseN', [t(delegate_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t(on_time_Adv, [])])])])])])). +sent(s_055_2_q, eng, 'did any delegates finish the survey on time'). +sent(s_055_2_q, original, 'did any delegates finish the survey on time'). +sent(s_055_2_q, swe, 'slutförde några delegater undersökningen i tid'). + +tree(s_055_3_h, s_023_1_p). +sent(s_055_3_h, eng, 'some delegates finished the survey on time'). +sent(s_055_3_h, original, 'some delegates finished the survey on time'). +sent(s_055_3_h, swe, 'några delegater slutförde undersökningen i tid'). + +tree(s_056_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(many_Det, []), t('AdjCN', [t('PositA', [t(british_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('ComplSlash', [t('Slash3V3', [t(obtain_from_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(interesting_A, [])]), t('UseN', [t(result_N, [])])])])])])])])). +sent(s_056_1_p, eng, 'many British delegates obtained interesting results from the survey'). +sent(s_056_1_p, original, 'many British delegates obtained interesting results from the survey'). +sent(s_056_1_p, swe, 'många brittiska delegater erhöll intressanta resultat från undersökningen'). + +tree(s_056_2_q, s_040_2_q). +sent(s_056_2_q, eng, 'did many delegates obtain interesting results from the survey'). +sent(s_056_2_q, original, 'did many delegates obtain interesting results from the survey'). +sent(s_056_2_q, swe, 'erhöll många delegater intressanta resultat från undersökningen'). + +tree(s_056_3_h, s_024_1_p). +sent(s_056_3_h, eng, 'many delegates obtained interesting results from the survey'). +sent(s_056_3_h, original, 'many delegates obtained interesting results from the survey'). +sent(s_056_3_h, swe, 'många delegater erhöll intressanta resultat från undersökningen'). + +tree(s_057_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(several_Det, []), t('AdjCN', [t('PositA', [t(portuguese_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])]), t(publish_V2, [])])]), t('PrepNP', [t(in_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(national_A, [])]), t('UseN', [t(newspaper_N, [])])])])])])])])])])). +sent(s_057_1_p, eng, 'several Portuguese delegates got the results published in major national newspapers'). +sent(s_057_1_p, original, 'several Portuguese delegates got the results published in major national newspapers'). +sent(s_057_1_p, swe, 'flera portugisiska delegater fick resultaten publicerade i större nationella tidningar'). + +tree(s_057_2_q, s_041_2_q). +sent(s_057_2_q, eng, 'did several delegates get the results published in major national newspapers'). +sent(s_057_2_q, original, 'did several delegates get the results published in major national newspapers'). +sent(s_057_2_q, swe, 'fick flera delegater resultaten publicerade i större nationella tidningar'). + +tree(s_057_3_h, s_025_1_p). +sent(s_057_3_h, eng, 'several delegates got the results published in major national newspapers'). +sent(s_057_3_h, original, 'several delegates got the results published in major national newspapers'). +sent(s_057_3_h, swe, 'flera delegater fick resultaten publicerade i större nationella tidningar'). + +tree(s_058_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(european_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(resident_A, [])])])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_058_1_p, eng, 'most Europeans who are resident in Europe can travel freely within Europe'). +sent(s_058_1_p, original, 'most Europeans who are resident in Europe can travel freely within Europe'). +sent(s_058_1_p, swe, 'de flesta européer som är bosatta i Europa kan resa fritt inom Europa'). + +tree(s_058_2_q, s_026_4_q). +sent(s_058_2_q, eng, 'can most Europeans travel freely within Europe'). +sent(s_058_2_q, original, 'can most Europeans travel freely within Europe'). +sent(s_058_2_q, swe, 'kan de flesta européer resa fritt inom Europa'). + +tree(s_058_3_h, s_026_5_h). +sent(s_058_3_h, eng, 'most Europeans can travel freely within Europe'). +sent(s_058_3_h, original, 'most Europeans can travel freely within Europe'). +sent(s_058_3_h, swe, 'de flesta européer kan resa fritt inom Europa'). + +tree(s_059_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(a_few_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])). +sent(s_059_1_p, eng, 'a few female committee members are from Scandinavia'). +sent(s_059_1_p, original, 'a few female committee members are from Scandinavia'). +sent(s_059_1_p, swe, 'ett fåtal kvinnliga kommittémedlemmar är från Skandinavien'). + +tree(s_059_2_q, s_027_4_q). +sent(s_059_2_q, eng, 'are at least a few committee members from Scandinavia'). +sent(s_059_2_q, original, 'are at least a few committee members from Scandinavia'). +sent(s_059_2_q, swe, 'är minst ett fåtal kommittémedlemmar från Skandinavien'). + +tree(s_059_3_h, s_027_5_h). +sent(s_059_3_h, eng, 'at least a few committee members are from Scandinavia'). +sent(s_059_3_h, original, 'at least a few committee members are from Scandinavia'). +sent(s_059_3_h, swe, 'minst ett fåtal kommittémedlemmar är från Skandinavien'). + +tree(s_060_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(few_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])). +sent(s_060_1_p, eng, 'few female committee members are from southern Europe'). +sent(s_060_1_p, original, 'few female committee members are from southern Europe'). +sent(s_060_1_p, swe, 'få kvinnliga kommittémedlemmar är från södra Europa'). + +tree(s_060_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(few_Det, []), t('UseN', [t(committee_member_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])])). +sent(s_060_2_q, eng, 'are few committee members from southern Europe'). +sent(s_060_2_q, original, 'are few committee members from southern Europe'). +sent(s_060_2_q, swe, 'är få kommittémedlemmar från södra Europa'). + +tree(s_060_3_h, s_044_1_p). +sent(s_060_3_h, eng, 'few committee members are from southern Europe'). +sent(s_060_3_h, original, 'few committee members are from southern Europe'). +sent(s_060_3_h, swe, 'få kommittémedlemmar är från södra Europa'). + +tree(s_061_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(both_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])])])])])). +sent(s_061_1_p, eng, 'both female commissioners used to be in business'). +sent(s_061_1_p, original, 'both female commissioners used to be in business'). +sent(s_061_1_p, swe, 'båda de kvinnliga ombuden brukade vara i affärsverksamhet'). + +tree(s_061_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(both_Det, []), t('UseN', [t(commissioner_N, [])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])])])])])])). +sent(s_061_2_q, eng, 'did both commissioners used to be in business'). +sent(s_061_2_q, original, 'did both commissioners used to be in business'). +sent(s_061_2_q, swe, 'brukade båda ombuden vara i affärsverksamhet'). + +tree(s_061_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(both_Det, []), t('UseN', [t(commissioner_N, [])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])])])])])). +sent(s_061_3_h, eng, 'both commissioners used to be in business'). +sent(s_061_3_h, original, 'both commissioners used to be in business'). +sent(s_061_3_h, swe, 'båda ombuden brukade vara i affärsverksamhet'). + +tree(s_062_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(neither_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_062_1_p, eng, 'neither female commissioner spends a lot of time at home'). +sent(s_062_1_p, original, 'neither female commissioner spends a lot of time at home'). +sent(s_062_1_p, swe, 'inget av de kvinnliga ombuden tillbringar mycket tid hemma'). + +tree(s_062_2_q, s_046_2_q). +sent(s_062_2_q, eng, 'does either commissioner spend a lot of time at home'). +sent(s_062_2_q, original, 'does either commissioner spend a lot of time at home'). +sent(s_062_2_q, swe, 'tillbringar något av ombuden mycket tid hemma'). + +tree(s_062_3_h, s_046_3_h). +sent(s_062_3_h, eng, 'one of the commissioners spends a lot of time at home'). +sent(s_062_3_h, original, 'one of the commissioners spends a lot of time at home'). +sent(s_062_3_h, swe, 'ett av ombuden tillbringar mycket tid hemma'). + +tree(s_063_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_063_1_p, eng, 'at least three female commissioners spend time at home'). +sent(s_063_1_p, original, 'at least three female commissioners spend time at home'). +sent(s_063_1_p, swe, 'minst tre kvinnliga ombud tillbringar tid hemma'). + +tree(s_063_2_q, s_031_2_q). +sent(s_063_2_q, eng, 'do at least three commissioners spend time at home'). +sent(s_063_2_q, original, 'do at least three commissioners spend time at home'). +sent(s_063_2_q, swe, 'tillbringar minst tre ombud tid hemma'). + +tree(s_063_3_h, s_031_3_h). +sent(s_063_3_h, eng, 'at least three commissioners spend time at home'). +sent(s_063_3_h, original, 'at least three commissioners spend time at home'). +sent(s_063_3_h, swe, 'minst tre ombud tillbringar tid hemma'). + +tree(s_064_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_064_1_p, eng, 'at most ten female commissioners spend time at home'). +sent(s_064_1_p, original, 'at most ten female commissioners spend time at home'). +sent(s_064_1_p, swe, 'högst tio kvinnliga ombud tillbringar tid hemma'). + +tree(s_064_2_q, s_032_2_q). +sent(s_064_2_q, eng, 'do at most ten commissioners spend time at home'). +sent(s_064_2_q, original, 'do at most ten commissioners spend time at home'). +sent(s_064_2_q, swe, 'tillbringar högst tio ombud tid hemma'). + +tree(s_064_3_h, s_032_3_h). +sent(s_064_3_h, eng, 'at most ten commissioners spend time at home'). +sent(s_064_3_h, original, 'at most ten commissioners spend time at home'). +sent(s_064_3_h, swe, 'högst tio ombud tillbringar tid hemma'). + +tree(s_065_1_p, s_049_4_h). +sent(s_065_1_p, eng, 'a Scandinavian won a Nobel prize'). +sent(s_065_1_p, original, 'a Scandinavian won a Nobel prize'). +sent(s_065_1_p, swe, 'en skandinav vann ett nobelpris'). + +tree(s_065_2_p, s_049_2_p). +sent(s_065_2_p, eng, 'every Swede is a Scandinavian'). +sent(s_065_2_p, original, 'every Swede is a Scandinavian'). +sent(s_065_2_p, swe, 'varje svensk är en skandinav'). + +tree(s_065_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(swede_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(nobel_prize_N, [])])])])])])])])). +sent(s_065_3_q, eng, 'did a Swede win a Nobel prize'). +sent(s_065_3_q, original, 'did a Swede win a Nobel prize'). +sent(s_065_3_q, swe, 'vann en svensk ett nobelpris'). + +tree(s_065_4_h, s_049_1_p). +sent(s_065_4_h, eng, 'a Swede won a Nobel prize'). +sent(s_065_4_h, original, 'a Swede won a Nobel prize'). +sent(s_065_4_h, swe, 'en svensk vann ett nobelpris'). + +tree(s_066_1_p, s_050_4_h). +sent(s_066_1_p, eng, 'every resident of the North American continent can travel freely within Europe'). +sent(s_066_1_p, original, 'every resident of the North American continent can travel freely within Europe'). +sent(s_066_1_p, swe, 'varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa'). + +tree(s_066_2_p, s_050_2_p). +sent(s_066_2_p, eng, 'every Canadian resident is a resident of the North American continent'). +sent(s_066_2_p, original, 'every Canadian resident is a resident of the North American continent'). +sent(s_066_2_p, swe, 'varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten'). + +tree(s_066_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_066_3_q, eng, 'can every Canadian resident travel freely within Europe'). +sent(s_066_3_q, original, 'can every Canadian resident travel freely within Europe'). +sent(s_066_3_q, swe, 'kan varje kanadensisk invånare resa fritt inom Europa'). + +tree(s_066_4_h, s_050_1_p). +sent(s_066_4_h, eng, 'every Canadian resident can travel freely within Europe'). +sent(s_066_4_h, original, 'every Canadian resident can travel freely within Europe'). +sent(s_066_4_h, swe, 'varje kanadensisk invånare kan resa fritt inom Europa'). + +tree(s_067_1_p, s_051_4_h). +sent(s_067_1_p, eng, 'all residents of the North American continent can travel freely within Europe'). +sent(s_067_1_p, original, 'all residents of the North American continent can travel freely within Europe'). +sent(s_067_1_p, swe, 'alla invånare på den nordamerikanska kontinenten kan resa fritt inom Europa'). + +tree(s_067_2_p, s_050_2_p). +sent(s_067_2_p, eng, 'every Canadian resident is a resident of the North American continent'). +sent(s_067_2_p, original, 'every Canadian resident is a resident of the North American continent'). +sent(s_067_2_p, swe, 'varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten'). + +tree(s_067_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_067_3_q, eng, 'can all Canadian residents travel freely within Europe'). +sent(s_067_3_q, original, 'can all Canadian residents travel freely within Europe'). +sent(s_067_3_q, swe, 'kan alla kanadensiska invånare resa fritt inom Europa'). + +tree(s_067_4_h, s_051_1_p). +sent(s_067_4_h, eng, 'all Canadian residents can travel freely within Europe'). +sent(s_067_4_h, original, 'all Canadian residents can travel freely within Europe'). +sent(s_067_4_h, swe, 'alla kanadensiska invånare kan resa fritt inom Europa'). + +tree(s_068_1_p, s_052_4_h). +sent(s_068_1_p, eng, 'each resident of the North American continent can travel freely within Europe'). +sent(s_068_1_p, original, 'each resident of the North American continent can travel freely within Europe'). +sent(s_068_1_p, swe, 'varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa'). + +tree(s_068_2_p, s_050_2_p). +sent(s_068_2_p, eng, 'every Canadian resident is a resident of the North American continent'). +sent(s_068_2_p, original, 'every Canadian resident is a resident of the North American continent'). +sent(s_068_2_p, swe, 'varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten'). + +tree(s_068_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(each_Det, []), t('AdjCN', [t('PositA', [t(canadian_A, [])]), t('UseN', [t(resident_N, [])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_068_3_q, eng, 'can each Canadian resident travel freely within Europe'). +sent(s_068_3_q, original, 'can each Canadian resident travel freely within Europe'). +sent(s_068_3_q, swe, 'kan varje kanadensisk invånare resa fritt inom Europa'). + +tree(s_068_4_h, s_052_1_p). +sent(s_068_4_h, eng, 'each Canadian resident can travel freely within Europe'). +sent(s_068_4_h, original, 'each Canadian resident can travel freely within Europe'). +sent(s_068_4_h, swe, 'varje kanadensisk invånare kan resa fritt inom Europa'). + +tree(s_069_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_069_1_p, eng, 'the residents of western countries can travel freely within Europe'). +sent(s_069_1_p, original, 'the residents of western countries can travel freely within Europe'). +sent(s_069_1_p, swe, 'invånarna i västerländska länder kan resa fritt inom Europa'). + +tree(s_069_2_p, s_053_2_p). +sent(s_069_2_p, eng, 'all residents of major western countries are residents of western countries'). +sent(s_069_2_p, original, 'all residents of major western countries are residents of western countries'). +sent(s_069_2_p, swe, 'alla invånare i större västerländska länder är invånare i västerländska länder'). + +tree(s_069_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])])). +sent(s_069_3_q, eng, 'do the residents of major western countries have the right to live in Europe'). +sent(s_069_3_q, original, 'do the residents of major western countries have the right to live in Europe'). +sent(s_069_3_q, swe, 'har invånarna i större västerländska länder rätten att bo i Europa'). + +tree(s_069_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(resident_in_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(western_A, [])]), t('UseN', [t(country_N, [])])])])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('SentCN', [t('UseN', [t(right_N, [])]), t('EmbedVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])])). +sent(s_069_4_h, eng, 'the residents of major western countries have the right to live in Europe'). +sent(s_069_4_h, original, 'the residents of major western countries have the right to live in Europe'). +sent(s_069_4_h, swe, 'invånarna i större västerländska länder har rätten att bo i Europa'). + +tree(s_070_1_p, s_022_1_p). +sent(s_070_1_p, eng, 'no delegate finished the report on time'). +sent(s_070_1_p, original, 'no delegate finished the report on time'). +sent(s_070_1_p, swe, 'ingen delegat slutförde rapporten i tid'). + +tree(s_070_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(anySg_Det, []), t('AdjCN', [t('PositA', [t(scandinavian_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(on_time_Adv, [])])])])])])). +sent(s_070_2_q, eng, 'did any Scandinavian delegate finish the report on time'). +sent(s_070_2_q, original, 'did any Scandinavian delegate finish the report on time'). +sent(s_070_2_q, swe, 'slutförde någon skandinavisk delegat rapporten i tid'). + +tree(s_070_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(someSg_Det, []), t('AdjCN', [t('PositA', [t(scandinavian_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(on_time_Adv, [])])])])])). +sent(s_070_3_h, eng, 'some Scandinavian delegate finished the report on time'). +sent(s_070_3_h, original, 'some Scandinavian delegate finished the report on time'). +sent(s_070_3_h, swe, 'någon skandinavisk delegat slutförde rapporten i tid'). + +tree(s_071_1_p, s_023_1_p). +sent(s_071_1_p, eng, 'some delegates finished the survey on time'). +sent(s_071_1_p, original, 'some delegates finished the survey on time'). +sent(s_071_1_p, swe, 'några delegater slutförde undersökningen i tid'). + +tree(s_071_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(anyPl_Det, []), t('AdjCN', [t('PositA', [t(irish_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t(on_time_Adv, [])])])])])])). +sent(s_071_2_q, eng, 'did any Irish delegates finish the survey on time'). +sent(s_071_2_q, original, 'did any Irish delegates finish the survey on time'). +sent(s_071_2_q, swe, 'slutförde några irländska delegater undersökningen i tid'). + +tree(s_071_3_h, s_055_1_p). +sent(s_071_3_h, eng, 'some Irish delegates finished the survey on time'). +sent(s_071_3_h, original, 'some Irish delegates finished the survey on time'). +sent(s_071_3_h, swe, 'några irländska delegater slutförde undersökningen i tid'). + +tree(s_072_1_p, s_024_1_p). +sent(s_072_1_p, eng, 'many delegates obtained interesting results from the survey'). +sent(s_072_1_p, original, 'many delegates obtained interesting results from the survey'). +sent(s_072_1_p, swe, 'många delegater erhöll intressanta resultat från undersökningen'). + +tree(s_072_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(many_Det, []), t('AdjCN', [t('PositA', [t(british_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('ComplSlash', [t('Slash3V3', [t(obtain_from_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(survey_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(interesting_A, [])]), t('UseN', [t(result_N, [])])])])])])])])])). +sent(s_072_2_q, eng, 'did many British delegates obtain interesting results from the survey'). +sent(s_072_2_q, original, 'did many British delegates obtain interesting results from the survey'). +sent(s_072_2_q, swe, 'erhöll många brittiska delegater intressanta resultat från undersökningen'). + +tree(s_072_3_h, s_056_1_p). +sent(s_072_3_h, eng, 'many British delegates obtained interesting results from the survey'). +sent(s_072_3_h, original, 'many British delegates obtained interesting results from the survey'). +sent(s_072_3_h, swe, 'många brittiska delegater erhöll intressanta resultat från undersökningen'). + +tree(s_073_1_p, s_025_1_p). +sent(s_073_1_p, eng, 'several delegates got the results published in major national newspapers'). +sent(s_073_1_p, original, 'several delegates got the results published in major national newspapers'). +sent(s_073_1_p, swe, 'flera delegater fick resultaten publicerade i större nationella tidningar'). + +tree(s_073_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(several_Det, []), t('AdjCN', [t('PositA', [t(portuguese_A, [])]), t('UseN', [t(delegate_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(result_N, [])])]), t(publish_V2, [])])]), t('PrepNP', [t(in_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(major_A, [])]), t('AdjCN', [t('PositA', [t(national_A, [])]), t('UseN', [t(newspaper_N, [])])])])])])])])])])])). +sent(s_073_2_q, eng, 'did several Portuguese delegates get the results published in major national newspapers'). +sent(s_073_2_q, original, 'did several Portuguese delegates get the results published in major national newspapers'). +sent(s_073_2_q, swe, 'fick flera portugisiska delegater resultaten publicerade i större nationella tidningar'). + +tree(s_073_3_h, s_057_1_p). +sent(s_073_3_h, eng, 'several Portuguese delegates got the results published in major national newspapers'). +sent(s_073_3_h, original, 'several Portuguese delegates got the results published in major national newspapers'). +sent(s_073_3_h, swe, 'flera portugisiska delegater fick resultaten publicerade i större nationella tidningar'). + +tree(s_074_1_p, s_026_5_h). +sent(s_074_1_p, eng, 'most Europeans can travel freely within Europe'). +sent(s_074_1_p, original, 'most Europeans can travel freely within Europe'). +sent(s_074_1_p, swe, 'de flesta européer kan resa fritt inom Europa'). + +tree(s_074_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(european_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('AdvAP', [t('PositA', [t(resident_A, [])]), t('PrepNP', [t(outside_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])). +sent(s_074_2_q, eng, 'can most Europeans who are resident outside Europe travel freely within Europe'). +sent(s_074_2_q, original, 'can most Europeans who are resident outside Europe travel freely within Europe'). +sent(s_074_2_q, swe, 'kan de flesta européer som är bosatta utanför Europa resa fritt inom Europa'). + +tree(s_074_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(european_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('AdvAP', [t('PositA', [t(resident_A, [])]), t('PrepNP', [t(outside_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])])])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(travel_V, [])]), t('PositAdvAdj', [t(free_A, [])])]), t('PrepNP', [t(within_Prep, []), t('UsePN', [t(europe_PN, [])])])])])])])])). +sent(s_074_3_h, eng, 'most Europeans who are resident outside Europe can travel freely within Europe'). +sent(s_074_3_h, original, 'most Europeans who are resident outside Europe can travel freely within Europe'). +sent(s_074_3_h, swe, 'de flesta européer som är bosatta utanför Europa kan resa fritt inom Europa'). + +tree(s_075_1_p, s_043_1_p). +sent(s_075_1_p, eng, 'a few committee members are from Scandinavia'). +sent(s_075_1_p, original, 'a few committee members are from Scandinavia'). +sent(s_075_1_p, swe, 'ett fåtal kommittémedlemmar är från Skandinavien'). + +tree(s_075_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t(a_few_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(committee_member_N, [])])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])])). +sent(s_075_2_q, eng, 'are at least a few female committee members from Scandinavia'). +sent(s_075_2_q, original, 'are at least a few female committee members from Scandinavia'). +sent(s_075_2_q, swe, 'är minst ett fåtal kvinnliga kommittémedlemmar från Skandinavien'). + +tree(s_075_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t(a_few_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(committee_member_N, [])])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(scandinavia_PN, [])])])])])])])])). +sent(s_075_3_h, eng, 'at least a few female committee members are from Scandinavia'). +sent(s_075_3_h, original, 'at least a few female committee members are from Scandinavia'). +sent(s_075_3_h, swe, 'minst ett fåtal kvinnliga kommittémedlemmar är från Skandinavien'). + +tree(s_076_1_p, s_044_1_p). +sent(s_076_1_p, eng, 'few committee members are from southern Europe'). +sent(s_076_1_p, original, 'few committee members are from southern Europe'). +sent(s_076_1_p, swe, 'få kommittémedlemmar är från södra Europa'). + +tree(s_076_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(few_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(committee_member_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(from_Prep, []), t('UsePN', [t(southern_europe_PN, [])])])])])])])])])). +sent(s_076_2_q, eng, 'are few female committee members from southern Europe'). +sent(s_076_2_q, original, 'are few female committee members from southern Europe'). +sent(s_076_2_q, swe, 'är få kvinnliga kommittémedlemmar från södra Europa'). + +tree(s_076_3_h, s_060_1_p). +sent(s_076_3_h, eng, 'few female committee members are from southern Europe'). +sent(s_076_3_h, original, 'few female committee members are from southern Europe'). +sent(s_076_3_h, swe, 'få kvinnliga kommittémedlemmar är från södra Europa'). + +tree(s_077_1_p, s_061_3_h). +sent(s_077_1_p, eng, 'both commissioners used to be in business'). +sent(s_077_1_p, original, 'both commissioners used to be in business'). +sent(s_077_1_p, swe, 'båda ombuden brukade vara i affärsverksamhet'). + +tree(s_077_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(both_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])]), t('ComplVV', [t(use_VV, []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])])])])])])). +sent(s_077_2_q, eng, 'did both female commissioners used to be in business'). +sent(s_077_2_q, original, 'did both female commissioners used to be in business'). +sent(s_077_2_q, swe, 'brukade båda de kvinnliga ombuden vara i affärsverksamhet'). + +tree(s_077_3_h, s_061_1_p). +sent(s_077_3_h, eng, 'both female commissioners used to be in business'). +sent(s_077_3_h, original, 'both female commissioners used to be in business'). +sent(s_077_3_h, swe, 'båda de kvinnliga ombuden brukade vara i affärsverksamhet'). + +tree(s_078_1_p, s_030_1_p). +sent(s_078_1_p, eng, 'neither commissioner spends a lot of time at home'). +sent(s_078_1_p, original, 'neither commissioner spends a lot of time at home'). +sent(s_078_1_p, swe, 'inget av ombuden tillbringar mycket tid hemma'). + +tree(s_078_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(either_Det, []), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_078_2_q, eng, 'does either female commissioner spend a lot of time at home'). +sent(s_078_2_q, original, 'does either female commissioner spend a lot of time at home'). +sent(s_078_2_q, swe, 'tillbringar något av de kvinnliga ombuden mycket tid hemma'). + +tree(s_078_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('AdvNP', [t('DetNP', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t(a_lot_of_Det, []), t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_078_3_h, eng, 'one of the female commissioners spends a lot of time at home'). +sent(s_078_3_h, original, 'one of the female commissioners spends a lot of time at home'). +sent(s_078_3_h, swe, 'ett av de kvinnliga ombuden tillbringar mycket tid hemma'). + +tree(s_079_1_p, s_031_3_h). +sent(s_079_1_p, eng, 'at least three commissioners spend time at home'). +sent(s_079_1_p, original, 'at least three commissioners spend time at home'). +sent(s_079_1_p, swe, 'minst tre ombud tillbringar tid hemma'). + +tree(s_079_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('AdjCN', [t('PositA', [t(male_A, [])]), t('UseN', [t(commissioner_N, [])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_079_2_q, eng, 'do at least three male commissioners spend time at home'). +sent(s_079_2_q, original, 'do at least three male commissioners spend time at home'). +sent(s_079_2_q, swe, 'tillbringar minst tre manliga ombud tid hemma'). + +tree(s_079_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('AdjCN', [t('PositA', [t(male_A, [])]), t('UseN', [t(commissioner_N, [])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])). +sent(s_079_3_h, eng, 'at least three male commissioners spend time at home'). +sent(s_079_3_h, original, 'at least three male commissioners spend time at home'). +sent(s_079_3_h, swe, 'minst tre manliga ombud tillbringar tid hemma'). + +tree(s_080_1_p, s_032_3_h). +sent(s_080_1_p, eng, 'at most ten commissioners spend time at home'). +sent(s_080_1_p, original, 'at most ten commissioners spend time at home'). +sent(s_080_1_p, swe, 'högst tio ombud tillbringar tid hemma'). + +tree(s_080_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(at_most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('AdjCN', [t('PositA', [t(female_A, [])]), t('UseN', [t(commissioner_N, [])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('MassNP', [t('UseN', [t(time_N, [])])])]), t(at_home_Adv, [])])])])])])). +sent(s_080_2_q, eng, 'do at most ten female commissioners spend time at home'). +sent(s_080_2_q, original, 'do at most ten female commissioners spend time at home'). +sent(s_080_2_q, swe, 'tillbringar högst tio kvinnliga ombud tid hemma'). + +tree(s_080_3_h, s_064_1_p). +sent(s_080_3_h, eng, 'at most ten female commissioners spend time at home'). +sent(s_080_3_h, original, 'at most ten female commissioners spend time at home'). +sent(s_080_3_h, swe, 'högst tio kvinnliga ombud tillbringar tid hemma'). + +tree(s_081_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])]), t('UsePN', [t(anderson_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_081_1_p, eng, 'Smith , Jones and Anderson signed the contract'). +sent(s_081_1_p, original, 'Smith , Jones and Anderson signed the contract'). +sent(s_081_1_p, swe, 'Smith , Jones och Anderson undertecknade kontraktet'). + +tree(s_081_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])])). +sent(s_081_2_q, eng, 'did Jones sign the contract'). +sent(s_081_2_q, original, 'did Jones sign the contract'). +sent(s_081_2_q, swe, 'undertecknade Jones kontraktet'). + +tree(s_081_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_081_3_h, eng, 'Jones signed the contract'). +sent(s_081_3_h, original, 'Jones signed the contract'). +sent(s_081_3_h, swe, 'Jones undertecknade kontraktet'). + +tree(s_082_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])]), t('DetCN', [t(several_Det, []), t('UseN', [t(lawyer_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_082_1_p, eng, 'Smith , Jones and several lawyers signed the contract'). +sent(s_082_1_p, original, 'Smith , Jones and several lawyers signed the contract'). +sent(s_082_1_p, swe, 'Smith , Jones och flera jurister undertecknade kontraktet'). + +tree(s_082_2_q, s_081_2_q). +sent(s_082_2_q, eng, 'did Jones sign the contract'). +sent(s_082_2_q, original, 'did Jones sign the contract'). +sent(s_082_2_q, swe, 'undertecknade Jones kontraktet'). + +tree(s_082_3_h, s_081_3_h). +sent(s_082_3_h, eng, 'Jones signed the contract'). +sent(s_082_3_h, original, 'Jones signed the contract'). +sent(s_082_3_h, swe, 'Jones undertecknade kontraktet'). + +tree(s_083_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(either7or_DConj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])]), t('UsePN', [t(anderson_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_083_1_p, eng, 'either Smith , Jones or Anderson signed the contract'). +sent(s_083_1_p, original, 'either Smith , Jones or Anderson signed the contract'). +sent(s_083_1_p, swe, 'antingen Smith , Jones eller Anderson undertecknade kontraktet'). + +tree(s_083_2_q, s_081_2_q). +sent(s_083_2_q, eng, 'did Jones sign the contract'). +sent(s_083_2_q, original, 'did Jones sign the contract'). +sent(s_083_2_q, swe, 'undertecknade Jones kontraktet'). + +tree(s_083_3_h, s_081_3_h). +sent(s_083_3_h, eng, 'Jones signed the contract'). +sent(s_083_3_h, original, 'Jones signed the contract'). +sent(s_083_3_h, swe, 'Jones undertecknade kontraktet'). + +tree(s_084_1_p, s_083_1_p). +sent(s_084_1_p, eng, 'either Smith , Jones or Anderson signed the contract'). +sent(s_084_1_p, original, 'either Smith , Jones or Anderson signed the contract'). +sent(s_084_1_p, swe, 'antingen Smith , Jones eller Anderson undertecknade kontraktet'). + +tree(s_084_2_q, t('Question', [t('ExtAdvQS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('UncNeg', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(anderson_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])]), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])])])). +sent(s_084_2_q, eng, 'if Smith and Anderson did not sign the contract , did Jones sign the contract'). +sent(s_084_2_q, original, 'if Smith and Anderson did not sign the contract , did Jones sign the contract'). +sent(s_084_2_q, swe, 'om Smith och Anderson inte undertecknade kontraktet , undertecknade Jones kontraktet'). + +tree(s_084_3_h, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('UncNeg', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(anderson_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])])). +sent(s_084_3_h, eng, 'if Smith and Anderson did not sign the contract , Jones signed the contract'). +sent(s_084_3_h, original, 'if Smith and Anderson did not sign the contract , Jones signed the contract'). +sent(s_084_3_h, swe, 'om Smith och Anderson inte undertecknade kontraktet , undertecknade Jones kontraktet'). + +tree(s_085_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('PredetNP', [t(exactly_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(lawyer_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_three', [])])])]), t('UseN', [t(accountant_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_085_1_p, eng, 'exactly two lawyers and three accountants signed the contract'). +sent(s_085_1_p, original, 'exactly two lawyers and three accountants signed the contract'). +sent(s_085_1_p, swe, 'exakt två jurister och tre bokförare undertecknade kontraktet'). + +tree(s_085_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_six', [])])])]), t('UseN', [t(lawyer_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])])). +sent(s_085_2_q, eng, 'did six lawyers sign the contract'). +sent(s_085_2_q, original, 'did six lawyers sign the contract'). +sent(s_085_2_q, swe, 'undertecknade sex jurister kontraktet'). + +tree(s_085_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_six', [])])])]), t('UseN', [t(lawyer_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_085_3_h, eng, 'six lawyers signed the contract'). +sent(s_085_3_h, original, 'six lawyers signed the contract'). +sent(s_085_3_h, swe, 'sex jurister undertecknade kontraktet'). + +tree(s_086_1_p, s_085_1_p). +sent(s_086_1_p, eng, 'exactly two lawyers and three accountants signed the contract'). +sent(s_086_1_p, original, 'exactly two lawyers and three accountants signed the contract'). +sent(s_086_1_p, swe, 'exakt två jurister och tre bokförare undertecknade kontraktet'). + +tree(s_086_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_six', [])])])]), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])])). +sent(s_086_2_q, eng, 'did six accountants sign the contract'). +sent(s_086_2_q, original, 'did six accountants sign the contract'). +sent(s_086_2_q, swe, 'undertecknade sex bokförare kontraktet'). + +tree(s_086_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_six', [])])])]), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_086_3_h, eng, 'six accountants signed the contract'). +sent(s_086_3_h, original, 'six accountants signed the contract'). +sent(s_086_3_h, swe, 'sex bokförare undertecknade kontraktet'). + +tree(s_087_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('ConjCN2', [t(and_Conj, []), t('UseN', [t(representative_N, [])]), t('UseN', [t(client_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])). +sent(s_087_1_p, eng, 'every representative and client was at the meeting'). +sent(s_087_1_p, original, 'every representative and client was at the meeting'). +sent(s_087_1_p, swe, 'varje representant och klient var på mötet'). + +tree(s_087_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(representative_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])])). +sent(s_087_2_q, eng, 'was every representative at the meeting'). +sent(s_087_2_q, original, 'was every representative at the meeting'). +sent(s_087_2_q, swe, 'var varje representant på mötet'). + +tree(s_087_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(representative_N, [])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])). +sent(s_087_3_h, eng, 'every representative was at the meeting'). +sent(s_087_3_h, original, 'every representative was at the meeting'). +sent(s_087_3_h, swe, 'varje representant var på mötet'). + +tree(s_088_1_p, s_087_1_p). +sent(s_088_1_p, eng, 'every representative and client was at the meeting'). +sent(s_088_1_p, original, 'every representative and client was at the meeting'). +sent(s_088_1_p, swe, 'varje representant och klient var på mötet'). + +tree(s_088_2_q, s_087_2_q). +sent(s_088_2_q, eng, 'was every representative at the meeting'). +sent(s_088_2_q, original, 'was every representative at the meeting'). +sent(s_088_2_q, swe, 'var varje representant på mötet'). + +tree(s_088_3_h, s_087_3_h). +sent(s_088_3_h, eng, 'every representative was at the meeting'). +sent(s_088_3_h, original, 'every representative was at the meeting'). +sent(s_088_3_h, swe, 'varje representant var på mötet'). + +tree(s_089_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('ConjCN2', [t(or_Conj, []), t('UseN', [t(representative_N, [])]), t('UseN', [t(client_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])). +sent(s_089_1_p, eng, 'every representative or client was at the meeting'). +sent(s_089_1_p, original, 'every representative or client was at the meeting'). +sent(s_089_1_p, swe, 'varje representant eller klient var på mötet'). + +tree(s_089_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('ConjNP2', [t(andSg_Conj, []), t('DetCN', [t(every_Det, []), t('UseN', [t(representative_N, [])])]), t('DetCN', [t(every_Det, []), t('UseN', [t(client_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])])). +sent(s_089_2_q, eng, 'was every representative and every client at the meeting'). +sent(s_089_2_q, original, 'was every representative and every client at the meeting'). +sent(s_089_2_q, swe, 'var varje representant och varje klient på mötet'). + +tree(s_089_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(andSg_Conj, []), t('DetCN', [t(every_Det, []), t('UseN', [t(representative_N, [])])]), t('DetCN', [t(every_Det, []), t('UseN', [t(client_N, [])])])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])). +sent(s_089_3_h, eng, 'every representative and every client was at the meeting'). +sent(s_089_3_h, original, 'every representative and every client was at the meeting'). +sent(s_089_3_h, swe, 'varje representant och varje klient var på mötet'). + +tree(s_090_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(chairman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(read_out_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(item_N, [])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(agenda_N, [])])])])])])])])])])). +sent(s_090_1_p, eng, 'the chairman read out the items on the agenda'). +sent(s_090_1_p, original, 'the chairman read out the items on the agenda'). +sent(s_090_1_p, swe, 'ordföranden läste upp punkterna på dagordningen'). + +tree(s_090_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(chairman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(read_out_V2, [])]), t('DetCN', [t(every_Det, []), t('AdvCN', [t('UseN', [t(item_N, [])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(agenda_N, [])])])])])])])])])])])). +sent(s_090_2_q, eng, 'did the chairman read out every item on the agenda'). +sent(s_090_2_q, original, 'did the chairman read out every item on the agenda'). +sent(s_090_2_q, swe, 'läste ordföranden upp varje punkt på dagordningen'). + +tree(s_090_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(chairman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(read_out_V2, [])]), t('DetCN', [t(every_Det, []), t('AdvCN', [t('UseN', [t(item_N, [])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(agenda_N, [])])])])])])])])])])). +sent(s_090_3_h, eng, 'the chairman read out every item on the agenda'). +sent(s_090_3_h, original, 'the chairman read out every item on the agenda'). +sent(s_090_3_h, swe, 'ordföranden läste upp varje punkt på dagordningen'). + +tree(s_091_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(chairman_N, [])])])])])])])])). +sent(s_091_1_p, eng, 'the people who were at the meeting voted for a new chairman'). +sent(s_091_1_p, original, 'the people who were at the meeting voted for a new chairman'). +sent(s_091_1_p, swe, 'människorna som var på mötet röstade för en ny ordförande'). + +tree(s_091_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('AdvNP', [t('UsePron', [t(everyone_Pron, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(chairman_N, [])])])])])])])])])). +sent(s_091_2_q, eng, 'did everyone at the meeting vote for a new chairman'). +sent(s_091_2_q, original, 'did everyone at the meeting vote for a new chairman'). +sent(s_091_2_q, swe, 'röstade alla på mötet för en ny ordförande'). + +tree(s_091_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('AdvNP', [t('UsePron', [t(everyone_Pron, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(chairman_N, [])])])])])])])])). +sent(s_091_3_h, eng, 'everyone at the meeting voted for a new chairman'). +sent(s_091_3_h, original, 'everyone at the meeting voted for a new chairman'). +sent(s_091_3_h, swe, 'alla på mötet röstade för en ny ordförande'). + +tree(s_092_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(chairman_N, [])])])])])])])])). +sent(s_092_1_p, eng, 'all the people who were at the meeting voted for a new chairman'). +sent(s_092_1_p, original, 'all the people who were at the meeting voted for a new chairman'). +sent(s_092_1_p, swe, 'alla människorna som var på mötet röstade för en ny ordförande'). + +tree(s_092_2_q, s_091_2_q). +sent(s_092_2_q, eng, 'did everyone at the meeting vote for a new chairman'). +sent(s_092_2_q, original, 'did everyone at the meeting vote for a new chairman'). +sent(s_092_2_q, swe, 'röstade alla på mötet för en ny ordförande'). + +tree(s_092_3_h, s_091_3_h). +sent(s_092_3_h, eng, 'everyone at the meeting voted for a new chairman'). +sent(s_092_3_h, original, 'everyone at the meeting voted for a new chairman'). +sent(s_092_3_h, swe, 'alla på mötet röstade för en ny ordförande'). + +tree(s_093_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(person_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])]), t('AdVVP', [t(all_AdV, []), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(chairman_N, [])])])])])])])])])). +sent(s_093_1_p, eng, 'the people who were at the meeting all voted for a new chairman'). +sent(s_093_1_p, original, 'the people who were at the meeting all voted for a new chairman'). +sent(s_093_1_p, swe, 'människorna som var på mötet röstade alla för en ny ordförande'). + +tree(s_093_2_q, s_091_2_q). +sent(s_093_2_q, eng, 'did everyone at the meeting vote for a new chairman'). +sent(s_093_2_q, original, 'did everyone at the meeting vote for a new chairman'). +sent(s_093_2_q, swe, 'röstade alla på mötet för en ny ordförande'). + +tree(s_093_3_h, s_091_3_h). +sent(s_093_3_h, eng, 'everyone at the meeting voted for a new chairman'). +sent(s_093_3_h, original, 'everyone at the meeting voted for a new chairman'). +sent(s_093_3_h, swe, 'alla på mötet röstade för en ny ordförande'). + +tree(s_094_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('ComplN2', [t(inhabitant_N2, []), t('UsePN', [t(cambridge_PN, [])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(labour_mp_N, [])])])])])])])). +sent(s_094_1_p, eng, 'the inhabitants of Cambridge voted for a Labour MP'). +sent(s_094_1_p, original, 'the inhabitants of Cambridge voted for a Labour MP'). +sent(s_094_1_p, swe, 'invånarna i Cambridge röstade för en Labour-ledamot'). + +tree(s_094_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('ComplN2', [t(inhabitant_N2, []), t('UsePN', [t(cambridge_PN, [])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(labour_mp_N, [])])])])])])])])). +sent(s_094_2_q, eng, 'did every inhabitant of Cambridge vote for a Labour MP'). +sent(s_094_2_q, original, 'did every inhabitant of Cambridge vote for a Labour MP'). +sent(s_094_2_q, swe, 'röstade varje invånare i Cambridge för en Labour-ledamot'). + +tree(s_094_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('ComplN2', [t(inhabitant_N2, []), t('UsePN', [t(cambridge_PN, [])])])]), t('ComplSlash', [t('SlashV2a', [t(vote_for_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(labour_mp_N, [])])])])])])])). +sent(s_094_3_h, eng, 'every inhabitant of Cambridge voted for a Labour MP'). +sent(s_094_3_h, original, 'every inhabitant of Cambridge voted for a Labour MP'). +sent(s_094_3_h, swe, 'varje invånare i Cambridge röstade för en Labour-ledamot'). + +tree(s_095_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(ancient_A, [])]), t('UseN', [t(greek_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(noted_A, [])]), t('UseN', [t(philosopher_N, [])])])])])])])])). +sent(s_095_1_p, eng, 'the Ancient Greeks were noted philosophers'). +sent(s_095_1_p, original, 'the Ancient Greeks were noted philosophers'). +sent(s_095_1_p, swe, 'de antika grekerna var välkända filosofer'). + +tree(s_095_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(ancient_A, [])]), t('UseN', [t(greek_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(noted_A, [])]), t('UseN', [t(philosopher_N, [])])])])])])])])])). +sent(s_095_2_q, eng, 'was every Ancient Greek a noted philosopher'). +sent(s_095_2_q, original, 'was every Ancient Greek a noted philosopher'). +sent(s_095_2_q, swe, 'var varje antik grek en välkänd filosof'). + +tree(s_095_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(ancient_A, [])]), t('UseN', [t(greek_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(noted_A, [])]), t('UseN', [t(philosopher_N, [])])])])])])])])). +sent(s_095_3_h, eng, 'every Ancient Greek was a noted philosopher'). +sent(s_095_3_h, original, 'every Ancient Greek was a noted philosopher'). +sent(s_095_3_h, swe, 'varje antik grek var en välkänd filosof'). + +tree(s_096_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(ancient_A, [])]), t('UseN', [t(greek_N, [])])])]), t('AdVVP', [t(all_AdV, []), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(noted_A, [])]), t('UseN', [t(philosopher_N, [])])])])])])])])])). +sent(s_096_1_p, eng, 'the Ancient Greeks were all noted philosophers'). +sent(s_096_1_p, original, 'the Ancient Greeks were all noted philosophers'). +sent(s_096_1_p, swe, 'de antika grekerna var alla välkända filosofer'). + +tree(s_096_2_q, s_095_2_q). +sent(s_096_2_q, eng, 'was every Ancient Greek a noted philosopher'). +sent(s_096_2_q, original, 'was every Ancient Greek a noted philosopher'). +sent(s_096_2_q, swe, 'var varje antik grek en välkänd filosof'). + +tree(s_096_3_h, s_095_3_h). +sent(s_096_3_h, eng, 'every Ancient Greek was a noted philosopher'). +sent(s_096_3_h, original, 'every Ancient Greek was a noted philosopher'). +sent(s_096_3_h, swe, 'varje antik grek var en välkänd filosof'). + +tree(s_097_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(software_fault_N, [])])]), t('AdvVP', [t('PassV2s', [t(blame1_V2, [])]), t('PrepNP', [t(for_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_failure_N, [])])])])])])])])). +sent(s_097_1_p, eng, 'software faults were blamed for the system failure'). +sent(s_097_1_p, original, 'software faults were blamed for the system failure'). +sent(s_097_1_p, swe, 'programvarufel beskylldes för systemkraschen'). + +tree(s_097_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_failure_N, [])])]), t('AdvVP', [t('PassV2s', [t(blame2_V2, [])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t(one_or_more_Det, []), t('UseN', [t(software_fault_N, [])])])])])])])])])). +sent(s_097_2_q, eng, 'was the system failure blamed on one or more software faults'). +sent(s_097_2_q, original, 'was the system failure blamed on one or more software faults'). +sent(s_097_2_q, swe, 'skylldes systemkraschen på ett eller flera programvarufel'). + +tree(s_097_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_failure_N, [])])]), t('AdvVP', [t('PassV2s', [t(blame2_V2, [])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t(one_or_more_Det, []), t('UseN', [t(software_fault_N, [])])])])])])])])). +sent(s_097_3_h, eng, 'the system failure was blamed on one or more software faults'). +sent(s_097_3_h, original, 'the system failure was blamed on one or more software faults'). +sent(s_097_3_h, swe, 'systemkraschen skylldes på ett eller flera programvarufel'). + +tree(s_098_1_p, s_097_1_p). +sent(s_098_1_p, eng, 'software faults were blamed for the system failure'). +sent(s_098_1_p, original, 'software faults were blamed for the system failure'). +sent(s_098_1_p, swe, 'programvarufel beskylldes för systemkraschen'). + +tree(s_098_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bug_32985_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(known_A, [])]), t('UseN', [t(software_fault_N, [])])])])])])])])). +sent(s_098_2_p, eng, 'Bug # 32-985 is a known software fault'). +sent(s_098_2_p, original, 'Bug # 32-985 is a known software fault'). +sent(s_098_2_p, swe, 'Bug # 32-985 är ett känt programvarufel'). + +tree(s_098_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bug_32985_PN, [])]), t('AdvVP', [t('PassV2s', [t(blame1_V2, [])]), t('PrepNP', [t(for_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_failure_N, [])])])])])])])])])). +sent(s_098_3_q, eng, 'was Bug # 32-985 blamed for the system failure'). +sent(s_098_3_q, original, 'was Bug # 32-985 blamed for the system failure'). +sent(s_098_3_q, swe, 'beskylldes Bug # 32-985 för systemkraschen'). + +tree(s_098_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bug_32985_PN, [])]), t('AdvVP', [t('PassV2s', [t(blame1_V2, [])]), t('PrepNP', [t(for_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_failure_N, [])])])])])])])])). +sent(s_098_4_h, eng, 'Bug # 32-985 was blamed for the system failure'). +sent(s_098_4_h, original, 'Bug # 32-985 was blamed for the system failure'). +sent(s_098_4_h, swe, 'Bug # 32-985 beskylldes för systemkraschen'). + +tree(s_099_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(client_N, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(demonstration_N, [])])])])])]), t('AdVVP', [t(all_AdV, []), t('UseComp', [t('CompAP', [t('ComplA2', [t(impressed_by_A2, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_N, [])])])]), t('NumSg', [])]), t('UseN', [t(performance_N, [])])])])])])])])])])). +sent(s_099_1_p, eng, 'clients at the demonstration were all impressed by the system\'s performance'). +sent(s_099_1_p, original, 'clients at the demonstration were all impressed by the system\'s performance'). +sent(s_099_1_p, swe, 'klienter på presentationen var alla imponerade av systemets utförande'). + +tree(s_099_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompCN', [t('AdvCN', [t('UseN', [t(client_N, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(demonstration_N, [])])])])])])])])])])). +sent(s_099_2_p, eng, 'Smith was a client at the demonstration'). +sent(s_099_2_p, original, 'Smith was a client at the demonstration'). +sent(s_099_2_p, swe, 'Smith var en klient på presentationen'). + +tree(s_099_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('ComplA2', [t(impressed_by_A2, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_N, [])])])]), t('NumSg', [])]), t('UseN', [t(performance_N, [])])])])])])])])])])). +sent(s_099_3_q, eng, 'was Smith impressed by the system\'s performance'). +sent(s_099_3_q, original, 'was Smith impressed by the system\'s performance'). +sent(s_099_3_q, swe, 'var Smith imponerad av systemets utförande'). + +tree(s_099_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('ComplA2', [t(impressed_by_A2, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_N, [])])])]), t('NumSg', [])]), t('UseN', [t(performance_N, [])])])])])])])])])). +sent(s_099_4_h, eng, 'Smith was impressed by the system\'s performance'). +sent(s_099_4_h, original, 'Smith was impressed by the system\'s performance'). +sent(s_099_4_h, swe, 'Smith var imponerad av systemets utförande'). + +tree(s_100_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(client_N, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(demonstration_N, [])])])])])]), t('UseComp', [t('CompAP', [t('ComplA2', [t(impressed_by_A2, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_N, [])])])]), t('NumSg', [])]), t('UseN', [t(performance_N, [])])])])])])])])])). +sent(s_100_1_p, eng, 'clients at the demonstration were impressed by the system\'s performance'). +sent(s_100_1_p, original, 'clients at the demonstration were impressed by the system\'s performance'). +sent(s_100_1_p, swe, 'klienter på presentationen var imponerade av systemets utförande'). + +tree(s_100_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(client_N, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(demonstration_N, [])])])])])])]), t('UseComp', [t('CompAP', [t('ComplA2', [t(impressed_by_A2, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_N, [])])])]), t('NumSg', [])]), t('UseN', [t(performance_N, [])])])])])])])])])])). +sent(s_100_2_q, eng, 'were most clients at the demonstration impressed by the system\'s performance'). +sent(s_100_2_q, original, 'were most clients at the demonstration impressed by the system\'s performance'). +sent(s_100_2_q, swe, 'var de flesta klienter på presentationen imponerade av systemets utförande'). + +tree(s_100_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(client_N, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(demonstration_N, [])])])])])])]), t('UseComp', [t('CompAP', [t('ComplA2', [t(impressed_by_A2, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(system_N, [])])])]), t('NumSg', [])]), t('UseN', [t(performance_N, [])])])])])])])])])). +sent(s_100_3_h, eng, 'most clients at the demonstration were impressed by the system\'s performance'). +sent(s_100_3_h, original, 'most clients at the demonstration were impressed by the system\'s performance'). +sent(s_100_3_h, swe, 'de flesta klienter på presentationen var imponerade av systemets utförande'). + +tree(s_101_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(university_graduate_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(make8become_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(poor8bad_A, [])]), t('UseN', [t(stockmarket_trader_N, [])])])])])])])])). +sent(s_101_1_p, eng, 'university graduates make poor stock-market traders'). +sent(s_101_1_p, original, 'university graduates make poor stock-market traders'). +sent(s_101_1_p, swe, 'universitetsakademiker blir dåliga aktiehandlare'). + +tree(s_101_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(university_graduate_N, [])])])])])])])). +sent(s_101_2_p, eng, 'Smith is a university graduate'). +sent(s_101_2_p, original, 'Smith is a university graduate'). +sent(s_101_2_p, swe, 'Smith är en universitetsakademiker'). + +tree(s_101_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('SentAP', [t('PositA', [t(likely_A, [])]), t('EmbedVP', [t('ComplSlash', [t('SlashV2a', [t(make8become_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(poor8bad_A, [])]), t('UseN', [t(stock_market_trader_N, [])])])])])])])])])])])])])). +sent(s_101_3_q, eng, 'is Smith likely to make a poor stock market trader'). +sent(s_101_3_q, original, 'is Smith likely to make a poor stock market trader'). +sent(s_101_3_q, swe, 'är Smith sannolik att bli en dålig aktiehandlare'). + +tree(s_101_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('SentAP', [t('PositA', [t(likely_A, [])]), t('EmbedVP', [t('ComplSlash', [t('SlashV2a', [t(make8become_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(poor8bad_A, [])]), t('UseN', [t(stock_market_trader_N, [])])])])])])])])])])])])). +sent(s_101_4_h, eng, 'Smith is likely to make a poor stock market trader'). +sent(s_101_4_h, original, 'Smith is likely to make a poor stock market trader'). +sent(s_101_4_h, swe, 'Smith är sannolik att bli en dålig aktiehandlare'). + +tree(s_102_1_p, s_101_1_p). +sent(s_102_1_p, eng, 'university graduates make poor stock-market traders'). +sent(s_102_1_p, original, 'university graduates make poor stock-market traders'). +sent(s_102_1_p, swe, 'universitetsakademiker blir dåliga aktiehandlare'). + +tree(s_102_2_p, s_101_2_p). +sent(s_102_2_p, eng, 'Smith is a university graduate'). +sent(s_102_2_p, original, 'Smith is a university graduate'). +sent(s_102_2_p, swe, 'Smith är en universitetsakademiker'). + +tree(s_102_3_q, t('Question', [t('UseQCl', [t('Future', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(make8become_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(poor8bad_A, [])]), t('UseN', [t(stock_market_trader_N, [])])])])])])])])])). +sent(s_102_3_q, eng, 'will Smith make a poor stock market trader'). +sent(s_102_3_q, original, 'will Smith make a poor stock market trader'). +sent(s_102_3_q, swe, 'ska Smith bli en dålig aktiehandlare'). + +tree(s_102_4_h, t('Sentence', [t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(make8become_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(poor8bad_A, [])]), t('UseN', [t(stock_market_trader_N, [])])])])])])])])). +sent(s_102_4_h, eng, 'Smith will make a poor stock market trader'). +sent(s_102_4_h, original, 'Smith will make a poor stock market trader'). +sent(s_102_4_h, swe, 'Smith ska bli en dålig aktiehandlare'). + +tree(s_103_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(apcom_manager_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(company_car_N, [])])])])])])])). +sent(s_103_1_p, eng, 'all APCOM managers have company cars'). +sent(s_103_1_p, original, 'all APCOM managers have company cars'). +sent(s_103_1_p, swe, 'alla APCOM-direktörer har tjänstebilar'). + +tree(s_103_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(apcom_manager_N, [])])])])])])])). +sent(s_103_2_p, eng, 'Jones is an APCOM manager'). +sent(s_103_2_p, original, 'Jones is an APCOM manager'). +sent(s_103_2_p, swe, 'Jones är en APCOM-direktör'). + +tree(s_103_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(company_car_N, [])])])])])])])])). +sent(s_103_3_q, eng, 'does Jones have a company car'). +sent(s_103_3_q, original, 'does Jones have a company car'). +sent(s_103_3_q, swe, 'har Jones en tjänstebil'). + +tree(s_103_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(company_car_N, [])])])])])])])). +sent(s_103_4_h, eng, 'Jones has a company car'). +sent(s_103_4_h, original, 'Jones has a company car'). +sent(s_103_4_h, swe, 'Jones har en tjänstebil'). + +tree(s_104_1_p, s_103_1_p). +sent(s_104_1_p, eng, 'all APCOM managers have company cars'). +sent(s_104_1_p, original, 'all APCOM managers have company cars'). +sent(s_104_1_p, swe, 'alla APCOM-direktörer har tjänstebilar'). + +tree(s_104_2_p, s_103_2_p). +sent(s_104_2_p, eng, 'Jones is an APCOM manager'). +sent(s_104_2_p, original, 'Jones is an APCOM manager'). +sent(s_104_2_p, swe, 'Jones är en APCOM-direktör'). + +tree(s_104_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_one', [])])])])]), t('UseN', [t(company_car_N, [])])])])])])])])). +sent(s_104_3_q, eng, 'does Jones have more than one company car'). +sent(s_104_3_q, original, 'does Jones have more than one company car'). +sent(s_104_3_q, swe, 'har Jones mer än en tjänstebil'). + +tree(s_104_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_one', [])])])])]), t('UseN', [t(company_car_N, [])])])])])])])). +sent(s_104_4_h, eng, 'Jones has more than one company car'). +sent(s_104_4_h, original, 'Jones has more than one company car'). +sent(s_104_4_h, swe, 'Jones har mer än en tjänstebil'). + +tree(s_105_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(just_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('UseN', [t(accountant_N, [])])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_105_1_p, eng, 'just one accountant attended the meeting'). +sent(s_105_1_p, original, 'just one accountant attended the meeting'). +sent(s_105_1_p, swe, 'endast en bokförare närvarade vid mötet'). + +tree(s_105_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumPl', [])]), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_105_2_q, eng, 'did no accountants attend the meeting'). +sent(s_105_2_q, original, 'did no accountants attend the meeting'). +sent(s_105_2_q, swe, 'närvarade inga bokförare vid mötet'). + +tree(s_105_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumPl', [])]), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_105_3_h, eng, 'no accountants attended the meeting'). +sent(s_105_3_h, original, 'no accountants attended the meeting'). +sent(s_105_3_h, swe, 'inga bokförare närvarade vid mötet'). + +tree(s_106_1_p, s_105_1_p). +sent(s_106_1_p, eng, 'just one accountant attended the meeting'). +sent(s_106_1_p, original, 'just one accountant attended the meeting'). +sent(s_106_1_p, swe, 'endast en bokförare närvarade vid mötet'). + +tree(s_106_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_106_2_q, eng, 'did no accountant attend the meeting'). +sent(s_106_2_q, original, 'did no accountant attend the meeting'). +sent(s_106_2_q, swe, 'närvarade ingen bokförare vid mötet'). + +tree(s_106_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_106_3_h, eng, 'no accountant attended the meeting'). +sent(s_106_3_h, original, 'no accountant attended the meeting'). +sent(s_106_3_h, swe, 'ingen bokförare närvarade vid mötet'). + +tree(s_107_1_p, s_105_1_p). +sent(s_107_1_p, eng, 'just one accountant attended the meeting'). +sent(s_107_1_p, original, 'just one accountant attended the meeting'). +sent(s_107_1_p, swe, 'endast en bokförare närvarade vid mötet'). + +tree(s_107_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(anyPl_Det, []), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_107_2_q, eng, 'did any accountants attend the meeting'). +sent(s_107_2_q, original, 'did any accountants attend the meeting'). +sent(s_107_2_q, swe, 'närvarade några bokförare vid mötet'). + +tree(s_107_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_107_3_h, eng, 'some accountants attended the meeting'). +sent(s_107_3_h, original, 'some accountants attended the meeting'). +sent(s_107_3_h, swe, 'några bokförare närvarade vid mötet'). + +tree(s_108_1_p, s_105_1_p). +sent(s_108_1_p, eng, 'just one accountant attended the meeting'). +sent(s_108_1_p, original, 'just one accountant attended the meeting'). +sent(s_108_1_p, swe, 'endast en bokförare närvarade vid mötet'). + +tree(s_108_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(anySg_Det, []), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_108_2_q, eng, 'did any accountant attend the meeting'). +sent(s_108_2_q, original, 'did any accountant attend the meeting'). +sent(s_108_2_q, swe, 'närvarade någon bokförare vid mötet'). + +tree(s_108_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(someSg_Det, []), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_108_3_h, eng, 'some accountant attended the meeting'). +sent(s_108_3_h, original, 'some accountant attended the meeting'). +sent(s_108_3_h, swe, 'någon bokförare närvarade vid mötet'). + +tree(s_109_1_p, s_105_1_p). +sent(s_109_1_p, eng, 'just one accountant attended the meeting'). +sent(s_109_1_p, original, 'just one accountant attended the meeting'). +sent(s_109_1_p, swe, 'endast en bokförare närvarade vid mötet'). + +tree(s_109_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_109_2_q, eng, 'did some accountants attend the meeting'). +sent(s_109_2_q, original, 'did some accountants attend the meeting'). +sent(s_109_2_q, swe, 'närvarade några bokförare vid mötet'). + +tree(s_109_3_h, s_107_3_h). +sent(s_109_3_h, eng, 'some accountants attended the meeting'). +sent(s_109_3_h, original, 'some accountants attended the meeting'). +sent(s_109_3_h, swe, 'några bokförare närvarade vid mötet'). + +tree(s_110_1_p, s_105_1_p). +sent(s_110_1_p, eng, 'just one accountant attended the meeting'). +sent(s_110_1_p, original, 'just one accountant attended the meeting'). +sent(s_110_1_p, swe, 'endast en bokförare närvarade vid mötet'). + +tree(s_110_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(someSg_Det, []), t('UseN', [t(accountant_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_110_2_q, eng, 'did some accountant attend the meeting'). +sent(s_110_2_q, original, 'did some accountant attend the meeting'). +sent(s_110_2_q, swe, 'närvarade någon bokförare vid mötet'). + +tree(s_110_3_h, s_108_3_h). +sent(s_110_3_h, eng, 'some accountant attended the meeting'). +sent(s_110_3_h, original, 'some accountant attended the meeting'). +sent(s_110_3_h, swe, 'någon bokförare närvarade vid mötet'). + +tree(s_111_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_111_1_p, eng, 'Smith signed one contract'). +sent(s_111_1_p, original, 'Smith signed one contract'). +sent(s_111_1_p, swe, 'Smith undertecknade ett kontrakt'). + +tree(s_111_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t(another_Det, []), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_111_2_p, eng, 'Jones signed another contract'). +sent(s_111_2_p, original, 'Jones signed another contract'). +sent(s_111_2_p, swe, 'Jones undertecknade ett annat kontrakt'). + +tree(s_111_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(contract_N, [])])])])])])])])). +sent(s_111_3_q, eng, 'did Smith and Jones sign two contracts'). +sent(s_111_3_q, original, 'did Smith and Jones sign two contracts'). +sent(s_111_3_q, swe, 'undertecknade Smith och Jones två kontrakt'). + +tree(s_111_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_111_4_h, eng, 'Smith and Jones signed two contracts'). +sent(s_111_4_h, original, 'Smith and Jones signed two contracts'). +sent(s_111_4_h, swe, 'Smith och Jones undertecknade två kontrakt'). + +tree(s_112_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_112_1_p, eng, 'Smith signed two contracts'). +sent(s_112_1_p, original, 'Smith signed two contracts'). +sent(s_112_1_p, swe, 'Smith undertecknade två kontrakt'). + +tree(s_112_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_112_2_p, eng, 'Jones signed two contracts'). +sent(s_112_2_p, original, 'Jones signed two contracts'). +sent(s_112_2_p, swe, 'Jones undertecknade två kontrakt'). + +tree(s_112_3_q, s_111_3_q). +sent(s_112_3_q, eng, 'did Smith and Jones sign two contracts'). +sent(s_112_3_q, original, 'did Smith and Jones sign two contracts'). +sent(s_112_3_q, swe, 'undertecknade Smith och Jones två kontrakt'). + +tree(s_112_4_h, s_111_4_h). +sent(s_112_4_h, eng, 'Smith and Jones signed two contracts'). +sent(s_112_4_h, original, 'Smith and Jones signed two contracts'). +sent(s_112_4_h, swe, 'Smith och Jones undertecknade två kontrakt'). + +tree(s_113_1_p, s_112_1_p). +sent(s_113_1_p, eng, 'Smith signed two contracts'). +sent(s_113_1_p, original, 'Smith signed two contracts'). +sent(s_113_1_p, swe, 'Smith undertecknade två kontrakt'). + +tree(s_113_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdVVP', [t(also_AdV, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('UsePron', [t(they_Pron, [])])])])])])])). +sent(s_113_2_p, eng, 'Jones also signed them'). +sent(s_113_2_p, original, 'Jones also signed them'). +sent(s_113_2_p, swe, 'Jones undertecknade även dem'). + +tree(s_113_3_q, s_111_3_q). +sent(s_113_3_q, eng, 'did Smith and Jones sign two contracts'). +sent(s_113_3_q, original, 'did Smith and Jones sign two contracts'). +sent(s_113_3_q, swe, 'undertecknade Smith och Jones två kontrakt'). + +tree(s_113_4_h, s_111_4_h). +sent(s_113_4_h, eng, 'Smith and Jones signed two contracts'). +sent(s_113_4_h, original, 'Smith and Jones signed two contracts'). +sent(s_113_4_h, swe, 'Smith och Jones undertecknade två kontrakt'). + +tree(s_114_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(use_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(sheRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])). +sent(s_114_1_p, eng, 'Mary used her workstation'). +sent(s_114_1_p, original, 'Mary used her workstation'). +sent(s_114_1_p, swe, 'Mary använde sin arbetsstation'). + +tree(s_114_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(mary_PN, [])])]), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])]), t('PassV2s', [t(use_V2, [])])])])])])). +sent(s_114_2_q, eng, 'was Mary\'s workstation used'). +sent(s_114_2_q, original, 'was Mary\'s workstation used'). +sent(s_114_2_q, swe, 'användes Marys arbetsstation'). + +tree(s_114_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(mary_PN, [])])]), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])]), t('PassV2s', [t(use_V2, [])])])])])). +sent(s_114_3_h, eng, 'Mary\'s workstation was used'). +sent(s_114_3_h, original, 'Mary\'s workstation was used'). +sent(s_114_3_h, swe, 'Marys arbetsstation användes'). + +tree(s_115_1_p, s_114_1_p). +sent(s_115_1_p, eng, 'Mary used her workstation'). +sent(s_115_1_p, original, 'Mary used her workstation'). +sent(s_115_1_p, swe, 'Mary använde sin arbetsstation'). + +tree(s_115_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])])). +sent(s_115_2_q, eng, 'does Mary have a workstation'). +sent(s_115_2_q, original, 'does Mary have a workstation'). +sent(s_115_2_q, swe, 'har Mary en arbetsstation'). + +tree(s_115_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])). +sent(s_115_3_h, eng, 'Mary has a workstation'). +sent(s_115_3_h, original, 'Mary has a workstation'). +sent(s_115_3_h, swe, 'Mary har en arbetsstation'). + +tree(s_116_1_p, s_114_1_p). +sent(s_116_1_p, eng, 'Mary used her workstation'). +sent(s_116_1_p, original, 'Mary used her workstation'). +sent(s_116_1_p, swe, 'Mary använde sin arbetsstation'). + +tree(s_116_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(female_A, [])])])])])])])])). +sent(s_116_2_q, eng, 'is Mary female'). +sent(s_116_2_q, original, 'is Mary female'). +sent(s_116_2_q, swe, 'är Mary kvinnlig'). + +tree(s_116_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(female_A, [])])])])])])])). +sent(s_116_3_h, eng, 'Mary is female'). +sent(s_116_3_h, original, 'Mary is female'). +sent(s_116_3_h, swe, 'Mary är kvinnlig'). + +tree(s_117_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(student_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(use_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(sheRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])). +sent(s_117_1_p, eng, 'every student used her workstation'). +sent(s_117_1_p, original, 'every student used her workstation'). +sent(s_117_1_p, swe, 'varje student använde sin arbetsstation'). + +tree(s_117_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(student_N, [])])])])])])])). +sent(s_117_2_p, eng, 'Mary is a student'). +sent(s_117_2_p, original, 'Mary is a student'). +sent(s_117_2_p, swe, 'Mary är en student'). + +tree(s_117_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(use_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(sheRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])])). +sent(s_117_3_q, eng, 'did Mary use her workstation'). +sent(s_117_3_q, original, 'did Mary use her workstation'). +sent(s_117_3_q, swe, 'använde Mary sin arbetsstation'). + +tree(s_117_4_h, s_114_1_p). +sent(s_117_4_h, eng, 'Mary used her workstation'). +sent(s_117_4_h, original, 'Mary used her workstation'). +sent(s_117_4_h, swe, 'Mary använde sin arbetsstation'). + +tree(s_118_1_p, s_117_1_p). +sent(s_118_1_p, eng, 'every student used her workstation'). +sent(s_118_1_p, original, 'every student used her workstation'). +sent(s_118_1_p, swe, 'varje student använde sin arbetsstation'). + +tree(s_118_2_p, s_117_2_p). +sent(s_118_2_p, eng, 'Mary is a student'). +sent(s_118_2_p, original, 'Mary is a student'). +sent(s_118_2_p, swe, 'Mary är en student'). + +tree(s_118_3_q, s_115_2_q). +sent(s_118_3_q, eng, 'does Mary have a workstation'). +sent(s_118_3_q, original, 'does Mary have a workstation'). +sent(s_118_3_q, swe, 'har Mary en arbetsstation'). + +tree(s_118_4_h, s_115_3_h). +sent(s_118_4_h, eng, 'Mary has a workstation'). +sent(s_118_4_h, original, 'Mary has a workstation'). +sent(s_118_4_h, swe, 'Mary har en arbetsstation'). + +tree(s_119_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(student_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(use_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(sheRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])). +sent(s_119_1_p, eng, 'no student used her workstation'). +sent(s_119_1_p, original, 'no student used her workstation'). +sent(s_119_1_p, swe, 'ingen student använde sin arbetsstation'). + +tree(s_119_2_p, s_117_2_p). +sent(s_119_2_p, eng, 'Mary is a student'). +sent(s_119_2_p, original, 'Mary is a student'). +sent(s_119_2_p, swe, 'Mary är en student'). + +tree(s_119_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(use_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])])). +sent(s_119_3_q, eng, 'did Mary use a workstation'). +sent(s_119_3_q, original, 'did Mary use a workstation'). +sent(s_119_3_q, swe, 'använde Mary en arbetsstation'). + +tree(s_119_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(use_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(workstation_N, [])])])])])])])). +sent(s_119_4_h, eng, 'Mary used a workstation'). +sent(s_119_4_h, original, 'Mary used a workstation'). +sent(s_119_4_h, swe, 'Mary använde en arbetsstation'). + +tree(s_120_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(attend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_120_1_p, eng, 'Smith attended a meeting'). +sent(s_120_1_p, original, 'Smith attended a meeting'). +sent(s_120_1_p, swe, 'Smith närvarade vid ett möte'). + +tree(s_120_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(chair_V2, [])]), t('UsePron', [t(it_Pron, [])])])])])])). +sent(s_120_2_p, eng, 'she chaired it'). +sent(s_120_2_p, original, 'she chaired it'). +sent(s_120_2_p, swe, 'hon ledde det'). + +tree(s_120_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(chair_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_120_3_q, eng, 'did Smith chair a meeting'). +sent(s_120_3_q, original, 'did Smith chair a meeting'). +sent(s_120_3_q, swe, 'ledde Smith ett möte'). + +tree(s_120_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(chair_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_120_4_h, eng, 'Smith chaired a meeting'). +sent(s_120_4_h, original, 'Smith chaired a meeting'). +sent(s_120_4_h, swe, 'Smith ledde ett möte'). + +tree(s_121_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(itel_PN, [])])])])])])])). +sent(s_121_1_p, eng, 'Smith delivered a report to ITEL'). +sent(s_121_1_p, original, 'Smith delivered a report to ITEL'). +sent(s_121_1_p, swe, 'Smith lämnade en rapport till ITEL'). + +tree(s_121_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('AdVVP', [t(also_AdV, []), t('ComplSlash', [t('Slash2V3', [t(deliver_V3, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(invoice_N, [])])])]), t('UsePron', [t(they_Pron, [])])])])])])])). +sent(s_121_2_p, eng, 'she also delivered them an invoice'). +sent(s_121_2_p, original, 'she also delivered them an invoice'). +sent(s_121_2_p, swe, 'hon gav även dem en faktura'). + +tree(s_121_3_p, t('PSentence', [t(and_PConj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('ComplSlash', [t('Slash2V3', [t(deliver_V3, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(project_proposal_N, [])])])]), t('UsePron', [t(they_Pron, [])])])])])])). +sent(s_121_3_p, eng, 'and she delivered them a project proposal'). +sent(s_121_3_p, original, 'and she delivered them a project proposal'). +sent(s_121_3_p, swe, 'och hon gav dem ett projektförslag'). + +tree(s_121_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('ConjNP3', [t(and_Conj, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(invoice_N, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(project_proposal_N, [])])])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(itel_PN, [])])])])])])])])). +sent(s_121_4_q, eng, 'did Smith deliver a report , an invoice and a project proposal to ITEL'). +sent(s_121_4_q, original, 'did Smith deliver a report , an invoice and a project proposal to ITEL'). +sent(s_121_4_q, swe, 'lämnade Smith en rapport , en faktura och ett projektförslag till ITEL'). + +tree(s_121_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('ConjNP3', [t(and_Conj, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(invoice_N, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(project_proposal_N, [])])])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(itel_PN, [])])])])])])])). +sent(s_121_5_h, eng, 'Smith delivered a report , an invoice and a project proposal to ITEL'). +sent(s_121_5_h, original, 'Smith delivered a report , an invoice and a project proposal to ITEL'). +sent(s_121_5_h, swe, 'Smith lämnade en rapport , en faktura och ett projektförslag till ITEL'). + +tree(s_122_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(committee_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(chairman_N, [])])])])])])])). +sent(s_122_1_p, eng, 'every committee has a chairman'). +sent(s_122_1_p, original, 'every committee has a chairman'). +sent(s_122_1_p, swe, 'varje kommitté har en ordförande'). + +tree(s_122_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('AdvVP', [t('PassV2s', [t(appoint_V2, [])]), t('PrepNP', [t(by8agent_Prep, []), t('DetCN', [t('DetQuant', [t('PossPron', [t(it_Pron, [])]), t('NumPl', [])]), t('UseN', [t(member_N, [])])])])])])])])). +sent(s_122_2_p, eng, 'he is appointed by its members'). +sent(s_122_2_p, original, 'he is appointed by its members'). +sent(s_122_2_p, swe, 'han utnämns av dess medlemmar'). + +tree(s_122_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(committee_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('AdvNP', [t('PPartNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(chairman_N, [])])]), t(appoint_V2, [])]), t('PrepNP', [t(by8agent_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(member_N, [])]), t('PrepNP', [t(possess_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(committee_N, [])])])])])])])])])])])])])). +sent(s_122_3_q, eng, 'does every committee have a chairman appointed by members of the committee'). +sent(s_122_3_q, original, 'does every committee have a chairman appointed by members of the committee'). +sent(s_122_3_q, swe, 'har varje kommitté en ordförande utnämnd av medlemmar av kommittén'). + +tree(s_122_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(committee_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('AdvNP', [t('PPartNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(chairman_N, [])])]), t(appoint_V2, [])]), t('PrepNP', [t(by8agent_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('UseN', [t(member_N, [])]), t('PrepNP', [t(possess_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(committee_N, [])])])])])])])])])])])])). +sent(s_122_4_h, eng, 'every committee has a chairman appointed by members of the committee'). +sent(s_122_4_h, original, 'every committee has a chairman appointed by members of the committee'). +sent(s_122_4_h, swe, 'varje kommitté har en ordförande utnämnd av medlemmar av kommittén'). + +tree(s_123_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(send_V2, [])]), t('PredetNP', [t(most_of_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(report_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('EmptyRelSlash', [t('SlashVP', [t('UsePN', [t(smith_PN, [])]), t('SlashV2a', [t(need_V2, [])])])])])])])])])])])])). +sent(s_123_1_p, eng, 'ITEL has sent most of the reports Smith needs'). +sent(s_123_1_p, original, 'ITEL has sent most of the reports Smith needs'). +sent(s_123_1_p, swe, 'ITEL har skickat de flesta av rapporterna Smith behöver'). + +tree(s_123_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('PossPron', [t(she_Pron, [])]), t('NumSg', [])]), t('UseN', [t(desk_N, [])])])])])])])])])). +sent(s_123_2_p, eng, 'they are on her desk'). +sent(s_123_2_p, original, 'they are on her desk'). +sent(s_123_2_p, swe, 'de är på hennes skrivbord'). + +tree(s_123_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('AdvNP', [t('DetCN', [t(somePl_Det, []), t('AdvCN', [t('UseN', [t(report_N, [])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(itel_PN, [])])])])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(desk_N, [])])])])])])])])])). +sent(s_123_3_q, eng, 'are there some reports from ITEL on Smith\'s desk'). +sent(s_123_3_q, original, 'are there some reports from ITEL on Smith\'s desk'). +sent(s_123_3_q, swe, 'finns det några rapporter från ITEL på Smiths skrivbord'). + +tree(s_123_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('AdvNP', [t('DetCN', [t(somePl_Det, []), t('AdvCN', [t('UseN', [t(report_N, [])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(itel_PN, [])])])])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(desk_N, [])])])])])])])])). +sent(s_123_4_h, eng, 'there are some reports from ITEL on Smith\'s desk'). +sent(s_123_4_h, original, 'there are some reports from ITEL on Smith\'s desk'). +sent(s_123_4_h, swe, 'det finns några rapporter från ITEL på Smiths skrivbord'). + +tree(s_124_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('AdvNP', [t('DetNP', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])])]), t('PrepNP', [t(out_of_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(machine_N, [])])])])]), t('UseComp', [t('CompAP', [t('PositA', [t(missing_A, [])])])])])])])). +sent(s_124_1_p, eng, 'two out of ten machines are missing'). +sent(s_124_1_p, original, 'two out of ten machines are missing'). +sent(s_124_1_p, swe, 'två av tio maskiner är försvunna'). + +tree(s_124_2_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('PassV2s', [t(remove_V2, [])])])])])). +sent(s_124_2_p, eng, 'they have been removed'). +sent(s_124_2_p, original, 'they have been removed'). +sent(s_124_2_p, swe, 'de har avlägsnats'). + +tree(s_124_3_q, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(machine_N, [])])]), t('PassV2s', [t(remove_V2, [])])])])])])). +sent(s_124_3_q, eng, 'have two machines been removed'). +sent(s_124_3_q, original, 'have two machines been removed'). +sent(s_124_3_q, swe, 'har två maskiner avlägsnats'). + +tree(s_124_4_h, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(machine_N, [])])]), t('PassV2s', [t(remove_V2, [])])])])])). +sent(s_124_4_h, eng, 'two machines have been removed'). +sent(s_124_4_h, original, 'two machines have been removed'). +sent(s_124_4_h, swe, 'två maskiner har avlägsnats'). + +tree(s_125_1_p, s_124_1_p). +sent(s_125_1_p, eng, 'two out of ten machines are missing'). +sent(s_125_1_p, original, 'two out of ten machines are missing'). +sent(s_125_1_p, swe, 'två av tio maskiner är försvunna'). + +tree(s_125_2_p, s_124_2_p). +sent(s_125_2_p, eng, 'they have been removed'). +sent(s_125_2_p, original, 'they have been removed'). +sent(s_125_2_p, swe, 'de har avlägsnats'). + +tree(s_125_3_q, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_eight', [])])])]), t('UseN', [t(machine_N, [])])]), t('PassV2s', [t(remove_V2, [])])])])])])). +sent(s_125_3_q, eng, 'have eight machines been removed'). +sent(s_125_3_q, original, 'have eight machines been removed'). +sent(s_125_3_q, swe, 'har åtta maskiner avlägsnats'). + +tree(s_125_4_h, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_eight', [])])])]), t('UseN', [t(machine_N, [])])]), t('PassV2s', [t(remove_V2, [])])])])])). +sent(s_125_4_h, eng, 'eight machines have been removed'). +sent(s_125_4_h, original, 'eight machines have been removed'). +sent(s_125_4_h, swe, 'åtta maskiner har avlägsnats'). + +tree(s_126_1_p, s_124_1_p). +sent(s_126_1_p, eng, 'two out of ten machines are missing'). +sent(s_126_1_p, original, 'two out of ten machines are missing'). +sent(s_126_1_p, swe, 'två av tio maskiner är försvunna'). + +tree(s_126_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('AdvVP', [t('AdVVP', [t(all_AdV, []), t('UseComp', [t('CompAdv', [t(here_Adv, [])])])]), t(yesterday_Adv, [])])])])])). +sent(s_126_2_p, eng, 'they were all here yesterday'). +sent(s_126_2_p, original, 'they were all here yesterday'). +sent(s_126_2_p, swe, 'de var alla här igår'). + +tree(s_126_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(machine_N, [])])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t(here_Adv, [])])]), t(yesterday_Adv, [])])])])])])). +sent(s_126_3_q, eng, 'were ten machines here yesterday'). +sent(s_126_3_q, original, 'were ten machines here yesterday'). +sent(s_126_3_q, swe, 'var tio maskiner här igår'). + +tree(s_126_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(machine_N, [])])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t(here_Adv, [])])]), t(yesterday_Adv, [])])])])])). +sent(s_126_4_h, eng, 'ten machines were here yesterday'). +sent(s_126_4_h, original, 'ten machines were here yesterday'). +sent(s_126_4_h, swe, 'tio maskiner var här igår'). + +tree(s_127_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(machine_N, [])])])]), t(on_tuesday_Adv, [])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(machine_N, [])])])]), t(on_wednesday_Adv, [])])])])])])). +sent(s_127_1_p, eng, 'Smith took a machine on Tuesday , and Jones took a machine on Wednesday'). +sent(s_127_1_p, original, 'Smith took a machine on Tuesday , and Jones took a machine on Wednesday'). +sent(s_127_1_p, swe, 'Smith tog en maskin på tisdagen , och Jones tog en maskin på onsdagen'). + +tree(s_127_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('ComplSlash', [t('Slash3V3', [t(put_in_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(lobby_N, [])])])]), t('UsePron', [t(they_Pron, [])])])])])])). +sent(s_127_2_p, eng, 'they put them in the lobby'). +sent(s_127_2_p, original, 'they put them in the lobby'). +sent(s_127_2_p, swe, 'de ställde dem i vestibulen'). + +tree(s_127_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])])]), t('ComplSlash', [t('Slash3V3', [t(put_in_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(lobby_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(machine_N, [])])])])])])])])). +sent(s_127_3_q, eng, 'did Smith and Jones put two machines in the lobby'). +sent(s_127_3_q, original, 'did Smith and Jones put two machines in the lobby'). +sent(s_127_3_q, swe, 'ställde Smith och Jones två maskiner i vestibulen'). + +tree(s_127_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])])]), t('ComplSlash', [t('Slash3V3', [t(put_in_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(lobby_N, [])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(machine_N, [])])])])])])])). +sent(s_127_4_h, eng, 'Smith and Jones put two machines in the lobby'). +sent(s_127_4_h, original, 'Smith and Jones put two machines in the lobby'). +sent(s_127_4_h, swe, 'Smith och Jones ställde två maskiner i vestibulen'). + +tree(s_128_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(john_PN, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(he_Pron, [])]), t('NumPl', [])]), t('UseN', [t(colleague_N, [])])])]), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_128_1_p, eng, 'John and his colleagues went to a meeting'). +sent(s_128_1_p, original, 'John and his colleagues went to a meeting'). +sent(s_128_1_p, swe, 'John och hans kollegor gick till ett möte'). + +tree(s_128_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(hate_V2, [])]), t('UsePron', [t(it_Pron, [])])])])])])). +sent(s_128_2_p, eng, 'they hated it'). +sent(s_128_2_p, original, 'they hated it'). +sent(s_128_2_p, swe, 'de hatade det'). + +tree(s_128_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(john_PN, [])])]), t('NumPl', [])]), t('UseN', [t(colleague_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(hate_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_128_3_q, eng, 'did John\'s colleagues hate the meeting'). +sent(s_128_3_q, original, 'did John\'s colleagues hate the meeting'). +sent(s_128_3_q, swe, 'hatade Johns kollegor mötet'). + +tree(s_128_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(john_PN, [])])]), t('NumPl', [])]), t('UseN', [t(colleague_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(hate_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_128_4_h, eng, 'John\'s colleagues hated the meeting'). +sent(s_128_4_h, original, 'John\'s colleagues hated the meeting'). +sent(s_128_4_h, swe, 'Johns kollegor hatade mötet'). + +tree(s_129_1_p, s_128_1_p). +sent(s_129_1_p, eng, 'John and his colleagues went to a meeting'). +sent(s_129_1_p, original, 'John and his colleagues went to a meeting'). +sent(s_129_1_p, swe, 'John och hans kollegor gick till ett möte'). + +tree(s_129_2_p, s_128_2_p). +sent(s_129_2_p, eng, 'they hated it'). +sent(s_129_2_p, original, 'they hated it'). +sent(s_129_2_p, swe, 'de hatade det'). + +tree(s_129_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(hate_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_129_3_q, eng, 'did John hate the meeting'). +sent(s_129_3_q, original, 'did John hate the meeting'). +sent(s_129_3_q, swe, 'hatade John mötet'). + +tree(s_129_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(hate_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_129_4_h, eng, 'John hated the meeting'). +sent(s_129_4_h, original, 'John hated the meeting'). +sent(s_129_4_h, swe, 'John hatade mötet'). + +tree(s_130_1_p, s_128_1_p). +sent(s_130_1_p, eng, 'John and his colleagues went to a meeting'). +sent(s_130_1_p, original, 'John and his colleagues went to a meeting'). +sent(s_130_1_p, swe, 'John och hans kollegor gick till ett möte'). + +tree(s_130_2_p, s_128_2_p). +sent(s_130_2_p, eng, 'they hated it'). +sent(s_130_2_p, original, 'they hated it'). +sent(s_130_2_p, swe, 'de hatade det'). + +tree(s_130_3_q, s_129_3_q). +sent(s_130_3_q, eng, 'did John hate the meeting'). +sent(s_130_3_q, original, 'did John hate the meeting'). +sent(s_130_3_q, swe, 'hatade John mötet'). + +tree(s_130_4_h, s_129_4_h). +sent(s_130_4_h, eng, 'John hated the meeting'). +sent(s_130_4_h, original, 'John hated the meeting'). +sent(s_130_4_h, swe, 'John hatade mötet'). + +tree(s_131_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(each_Det, []), t('UseN', [t(department_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(dedicated_A, [])]), t('UseN', [t(line_N, [])])])])])])])])). +sent(s_131_1_p, eng, 'each department has a dedicated line'). +sent(s_131_1_p, original, 'each department has a dedicated line'). +sent(s_131_1_p, swe, 'varje avdelning har en särskild linje'). + +tree(s_131_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('ComplSlash', [t('Slash3V3', [t(rent_from_V3, []), t('UsePN', [t(bt_PN, [])])]), t('UsePron', [t(they_Pron, [])])])])])])). +sent(s_131_2_p, eng, 'they rent them from BT'). +sent(s_131_2_p, original, 'they rent them from BT'). +sent(s_131_2_p, swe, 'de hyr dem från BT'). + +tree(s_131_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(department_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(rent_from_V3, []), t('UsePN', [t(bt_PN, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(line_N, [])])])])])])])])). +sent(s_131_3_q, eng, 'does every department rent a line from BT'). +sent(s_131_3_q, original, 'does every department rent a line from BT'). +sent(s_131_3_q, swe, 'hyr varje avdelning en linje från BT'). + +tree(s_131_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(department_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(rent_from_V3, []), t('UsePN', [t(bt_PN, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(line_N, [])])])])])])])). +sent(s_131_4_h, eng, 'every department rents a line from BT'). +sent(s_131_4_h, original, 'every department rents a line from BT'). +sent(s_131_4_h, swe, 'varje avdelning hyr en linje från BT'). + +tree(s_132_1_p, s_131_1_p). +sent(s_132_1_p, eng, 'each department has a dedicated line'). +sent(s_132_1_p, original, 'each department has a dedicated line'). +sent(s_132_1_p, swe, 'varje avdelning har en särskild linje'). + +tree(s_132_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(sales_department_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(rent_from_V3, []), t('UsePN', [t(bt_PN, [])])]), t('UsePron', [t(it_Pron, [])])])])])])). +sent(s_132_2_p, eng, 'the sales department rents it from BT'). +sent(s_132_2_p, original, 'the sales department rents it from BT'). +sent(s_132_2_p, swe, 'försäljningsavdelningen hyr det från BT'). + +tree(s_132_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(sales_department_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(rent_from_V3, []), t('UsePN', [t(bt_PN, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(line_N, [])])])])])])])])). +sent(s_132_3_q, eng, 'does the sales department rent a line from BT'). +sent(s_132_3_q, original, 'does the sales department rent a line from BT'). +sent(s_132_3_q, swe, 'hyr försäljningsavdelningen en linje från BT'). + +tree(s_132_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(sales_department_N, [])])]), t('ComplSlash', [t('Slash3V3', [t(rent_from_V3, []), t('UsePN', [t(bt_PN, [])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(line_N, [])])])])])])])). +sent(s_132_4_h, eng, 'the sales department rents a line from BT'). +sent(s_132_4_h, original, 'the sales department rents a line from BT'). +sent(s_132_4_h, swe, 'försäljningsavdelningen hyr en linje från BT'). + +tree(s_133_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(gfi_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t(several_Det, []), t('UseN', [t(computer_N, [])])])])])])])). +sent(s_133_1_p, eng, 'GFI owns several computers'). +sent(s_133_1_p, original, 'GFI owns several computers'). +sent(s_133_1_p, swe, 'GFI äger flera datorer'). + +tree(s_133_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(maintain_V2, [])]), t('UsePron', [t(they_Pron, [])])])])])])). +sent(s_133_2_p, eng, 'ITEL maintains them'). +sent(s_133_2_p, original, 'ITEL maintains them'). +sent(s_133_2_p, swe, 'ITEL servar dem'). + +tree(s_133_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(maintain_V2, [])]), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(computer_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelSlash', [t(that_RP, []), t('SlashVP', [t('UsePN', [t(gfi_PN, [])]), t('SlashV2a', [t(own_V2, [])])])])])])])])])])])])])). +sent(s_133_3_q, eng, 'does ITEL maintain all the computers that GFI owns'). +sent(s_133_3_q, original, 'does ITEL maintain all the computers that GFI owns'). +sent(s_133_3_q, swe, 'servar ITEL alla datorerna som GFI äger'). + +tree(s_133_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(maintain_V2, [])]), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(computer_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelSlash', [t(that_RP, []), t('SlashVP', [t('UsePN', [t(gfi_PN, [])]), t('SlashV2a', [t(own_V2, [])])])])])])])])])])])])). +sent(s_133_4_h, eng, 'ITEL maintains all the computers that GFI owns'). +sent(s_133_4_h, original, 'ITEL maintains all the computers that GFI owns'). +sent(s_133_4_h, swe, 'ITEL servar alla datorerna som GFI äger'). + +tree(s_134_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('RelCN', [t('UseN', [t(customer_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(computer_N, [])])])])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('UsePron', [t(it_Pron, [])])])])])])])). +sent(s_134_1_p, eng, 'every customer who owns a computer has a service contract for it'). +sent(s_134_1_p, original, 'every customer who owns a computer has a service contract for it'). +sent(s_134_1_p, swe, 'varje kund som äger en dator har ett servicekontrakt för det'). + +tree(s_134_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mfi_PN, [])]), t('UseComp', [t('CompCN', [t('RelCN', [t('UseN', [t(customer_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t(that_RP, []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('PredetNP', [t(exactly_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('UseN', [t(computer_N, [])])])])])])])])])])])])])). +sent(s_134_2_p, eng, 'MFI is a customer that owns exactly one computer'). +sent(s_134_2_p, original, 'MFI is a customer that owns exactly one computer'). +sent(s_134_2_p, swe, 'MFI är en kund som äger exakt en dator'). + +tree(s_134_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mfi_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('PossPron', [t(itRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(computer_N, [])])])])])])])])])])). +sent(s_134_3_q, eng, 'does MFI have a service contract for all its computers'). +sent(s_134_3_q, original, 'does MFI have a service contract for all its computers'). +sent(s_134_3_q, swe, 'har MFI ett servicekontrakt för alla sina datorer'). + +tree(s_134_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mfi_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('PossPron', [t(itRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(computer_N, [])])])])])])])])])). +sent(s_134_4_h, eng, 'MFI has a service contract for all its computers'). +sent(s_134_4_h, original, 'MFI has a service contract for all its computers'). +sent(s_134_4_h, swe, 'MFI har ett servicekontrakt för alla sina datorer'). + +tree(s_135_1_p, s_134_1_p). +sent(s_135_1_p, eng, 'every customer who owns a computer has a service contract for it'). +sent(s_135_1_p, original, 'every customer who owns a computer has a service contract for it'). +sent(s_135_1_p, swe, 'varje kund som äger en dator har ett servicekontrakt för det'). + +tree(s_135_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mfi_PN, [])]), t('UseComp', [t('CompCN', [t('RelCN', [t('UseN', [t(customer_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t(that_RP, []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t(several_Det, []), t('UseN', [t(computer_N, [])])])])])])])])])])])])). +sent(s_135_2_p, eng, 'MFI is a customer that owns several computers'). +sent(s_135_2_p, original, 'MFI is a customer that owns several computers'). +sent(s_135_2_p, swe, 'MFI är en kund som äger flera datorer'). + +tree(s_135_3_q, s_134_3_q). +sent(s_135_3_q, eng, 'does MFI have a service contract for all its computers'). +sent(s_135_3_q, original, 'does MFI have a service contract for all its computers'). +sent(s_135_3_q, swe, 'har MFI ett servicekontrakt för alla sina datorer'). + +tree(s_135_4_h, s_134_4_h). +sent(s_135_4_h, eng, 'MFI has a service contract for all its computers'). +sent(s_135_4_h, original, 'MFI has a service contract for all its computers'). +sent(s_135_4_h, swe, 'MFI har ett servicekontrakt för alla sina datorer'). + +tree(s_136_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('RelCN', [t('UseN', [t(executive_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(laptop_computer_N, [])])])])])])])]), t('ComplSlash', [t('SlashV2V', [t(bring_V2V, []), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(note_N, [])])])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])]), t('UsePron', [t(it_Pron, [])])])])])])). +sent(s_136_1_p, eng, 'every executive who had a laptop computer brought it to take notes at the meeting'). +sent(s_136_1_p, original, 'every executive who had a laptop computer brought it to take notes at the meeting'). +sent(s_136_1_p, swe, 'varje företagsledare som hade en laptop tog med det att ta anteckningar på mötet'). + +tree(s_136_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompCN', [t('RelCN', [t('UseN', [t(executive_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_five', [])])])]), t('AdjCN', [t('PositA', [t(different_A, [])]), t('UseN', [t(laptop_computer_N, [])])])])])])])])])])])])])). +sent(s_136_2_p, eng, 'Smith is an executive who owns five different laptop computers'). +sent(s_136_2_p, original, 'Smith is an executive who owns five different laptop computers'). +sent(s_136_2_p, swe, 'Smith är en företagsledare som äger fem olika laptopar'). + +tree(s_136_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_five', [])])])]), t('UseN', [t(laptop_computer_N, [])])])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])])). +sent(s_136_3_q, eng, 'did Smith take five laptop computers to the meeting'). +sent(s_136_3_q, original, 'did Smith take five laptop computers to the meeting'). +sent(s_136_3_q, swe, 'tog Smith fem laptopar till mötet'). + +tree(s_136_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_five', [])])])]), t('UseN', [t(laptop_computer_N, [])])])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_136_4_h, eng, 'Smith took five laptop computers to the meeting'). +sent(s_136_4_h, original, 'Smith took five laptop computers to the meeting'). +sent(s_136_4_h, swe, 'Smith tog fem laptopar till mötet'). + +tree(s_137_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_100', [])])])]), t('UseN', [t(company_N, [])])])])])])). +sent(s_137_1_p, eng, 'there are 100 companies'). +sent(s_137_1_p, original, 'there are 100 companies'). +sent(s_137_1_p, swe, 'det finns 100 företag'). + +tree(s_137_2_p, t('Sentence', [t('PredVPS', [t('UsePN', [t(icm_PN, [])]), t('ConjVPS2', [t(and_Conj, []), t('Present', []), t('PPos', []), t('UseComp', [t('CompNP', [t('AdvNP', [t('DetNP', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(company_N, [])])])])])])]), t('Present', []), t('PPos', []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_150', [])])])]), t('UseN', [t(computer_N, [])])])])])])])). +sent(s_137_2_p, eng, 'ICM is one of the companies and owns 150 computers'). +sent(s_137_2_p, original, 'ICM is one of the companies and owns 150 computers'). +sent(s_137_2_p, swe, 'ICM är ett av företagen och äger 150 datorer'). + +tree(s_137_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('UncNeg', []), t('PredVP', [t('UsePron', [t(it_Pron, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('AdvNP', [t('DetNP', [t(anySg_Det, [])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t('PossPron', [t(itRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(computer_N, [])])])])])])])])])])). +sent(s_137_3_p, eng, 'it does not have service contracts for any of its computers'). +sent(s_137_3_p, original, 'it does not have service contracts for any of its computers'). +sent(s_137_3_p, swe, 'det har inte servicekontrakt för något av sina datorer'). + +tree(s_137_4_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('AdvNP', [t('DetNP', [t(each_Det, [])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t(the_other_Q, []), t('NumCard', [t('NumNumeral', [t('N_99', [])])])]), t('UseN', [t(company_N, [])])])])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('UseN', [t(computer_N, [])])])])])])])). +sent(s_137_4_p, eng, 'each of the other 99 companies owns one computer'). +sent(s_137_4_p, original, 'each of the other 99 companies owns one computer'). +sent(s_137_4_p, swe, 'vart och ett av de andra 99 företagen äger en dator'). + +tree(s_137_5_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('UsePron', [t(they_Pron, [])])])])])])])). +sent(s_137_5_p, eng, 'they have service contracts for them'). +sent(s_137_5_p, original, 'they have service contracts for them'). +sent(s_137_5_p, swe, 'de har servicekontrakt för dem'). + +tree(s_137_6_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(company_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t(that_RP, []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(computer_N, [])])])])])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('UsePron', [t(it_Pron, [])])])])])])])])). +sent(s_137_6_q, eng, 'do most companies that own a computer have a service contract for it'). +sent(s_137_6_q, original, 'do most companies that own a computer have a service contract for it'). +sent(s_137_6_q, swe, 'har de flesta företag som äger en dator ett servicekontrakt för det'). + +tree(s_137_7_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(most_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('RelCN', [t('UseN', [t(company_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t(that_RP, []), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(computer_N, [])])])])])])])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(service_contract_N, [])])])]), t('PrepNP', [t(for_Prep, []), t('UsePron', [t(it_Pron, [])])])])])])])). +sent(s_137_7_h, eng, 'most companies that own a computer have a service contract for it'). +sent(s_137_7_h, original, 'most companies that own a computer have a service contract for it'). +sent(s_137_7_h, swe, 'de flesta företag som äger en dator har ett servicekontrakt för det'). + +tree(s_138_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(report_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(cover_page_N, [])])])])])])])). +sent(s_138_1_p, eng, 'every report has a cover page'). +sent(s_138_1_p, original, 'every report has a cover page'). +sent(s_138_1_p, swe, 'varje rapport har en förstasida'). + +tree(s_138_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(r95103_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(report_N, [])])])])])])])). +sent(s_138_2_p, eng, 'R-95-103 is a report'). +sent(s_138_2_p, original, 'R-95-103 is a report'). +sent(s_138_2_p, swe, 'R-95-103 är en rapport'). + +tree(s_138_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(cover_page_N, [])])])])])])])). +sent(s_138_3_p, eng, 'Smith signed the cover page'). +sent(s_138_3_p, original, 'Smith signed the cover page'). +sent(s_138_3_p, swe, 'Smith undertecknade förstasidan'). + +tree(s_138_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(cover_page_N, [])]), t('PrepNP', [t(possess_Prep, []), t('UsePN', [t(r95103_PN, [])])])])])])])])])])). +sent(s_138_4_q, eng, 'did Smith sign the cover page of R-95-103'). +sent(s_138_4_q, original, 'did Smith sign the cover page of R-95-103'). +sent(s_138_4_q, swe, 'undertecknade Smith förstasidan av R-95-103'). + +tree(s_138_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(cover_page_N, [])]), t('PrepNP', [t(possess_Prep, []), t('UsePN', [t(r95103_PN, [])])])])])])])])])). +sent(s_138_5_h, eng, 'Smith signed the cover page of R-95-103'). +sent(s_138_5_h, original, 'Smith signed the cover page of R-95-103'). +sent(s_138_5_h, swe, 'Smith undertecknade förstasidan av R-95-103'). + +tree(s_139_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(company_director_N, [])])]), t('ReflVP', [t('Slash3V3', [t(award_V3, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(payrise_N, [])])])])])])])])])). +sent(s_139_1_p, eng, 'a company director awarded himself a large payrise'). +sent(s_139_1_p, original, 'a company director awarded himself a large payrise'). +sent(s_139_1_p, swe, 'en företagsledare tilldelade sig en stor löneförhöjning'). + +tree(s_139_2_q, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(company_director_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(award_and_be_awarded_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(payrise_N, [])])])])])])])])). +sent(s_139_2_q, eng, 'has a company director awarded and been awarded a payrise'). +sent(s_139_2_q, original, 'has a company director awarded and been awarded a payrise'). +sent(s_139_2_q, swe, 'har en företagsledare tilldelat och tilldelats en löneförhöjning'). + +tree(s_139_3_h, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(company_director_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(award_and_be_awarded_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(payrise_N, [])])])])])])])). +sent(s_139_3_h, eng, 'a company director has awarded and been awarded a payrise'). +sent(s_139_3_h, original, 'a company director has awarded and been awarded a payrise'). +sent(s_139_3_h, swe, 'en företagsledare har tilldelat och tilldelats en löneförhöjning'). + +tree(s_140_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ReflVP', [t('SlashV2a', [t(hurt_V2, [])])])])])])])])])). +sent(s_140_1_p, eng, 'John said Bill had hurt himself'). +sent(s_140_1_p, original, 'John said Bill had hurt himself'). +sent(s_140_1_p, swe, 'John sade att Bill hade skadat sig'). + +tree(s_140_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('PassV2s', [t(hurt_V2, [])])])])])])])])])). +sent(s_140_2_q, eng, 'did John say Bill had been hurt'). +sent(s_140_2_q, original, 'did John say Bill had been hurt'). +sent(s_140_2_q, swe, 'sade John att Bill hade skadats'). + +tree(s_140_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('PassV2s', [t(hurt_V2, [])])])])])])])])). +sent(s_140_3_h, eng, 'John said Bill had been hurt'). +sent(s_140_3_h, original, 'John said Bill had been hurt'). +sent(s_140_3_h, swe, 'John sade att Bill hade skadats'). + +tree(s_141_1_p, s_140_1_p). +sent(s_141_1_p, eng, 'John said Bill had hurt himself'). +sent(s_141_1_p, original, 'John said Bill had hurt himself'). +sent(s_141_1_p, swe, 'John sade att Bill hade skadat sig'). + +tree(s_141_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePron', [t(anyone_Pron, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('PassV2s', [t(hurt_V2, [])])])])])])])])])). +sent(s_141_2_q, eng, 'did anyone say John had been hurt'). +sent(s_141_2_q, original, 'did anyone say John had been hurt'). +sent(s_141_2_q, swe, 'sade någon att John hade skadats'). + +tree(s_141_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(someone_Pron, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('PassV2s', [t(hurt_V2, [])])])])])])])])). +sent(s_141_3_h, eng, 'someone said John had been hurt'). +sent(s_141_3_h, original, 'someone said John had been hurt'). +sent(s_141_3_h, swe, 'någon sade att John hade skadats'). + +tree(s_142_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_142_1_p, eng, 'John spoke to Mary'). +sent(s_142_1_p, original, 'John spoke to Mary'). +sent(s_142_1_p, swe, 'John talade med Mary'). + +tree(s_142_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('SoDoI', [t('UsePN', [t(bill_PN, [])])])])])). +sent(s_142_2_p, eng, 'so did Bill'). +sent(s_142_2_p, original, 'so did Bill'). +sent(s_142_2_p, swe, 'det gjorde Bill också'). + +tree(s_142_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])). +sent(s_142_3_q, eng, 'did Bill speak to Mary'). +sent(s_142_3_q, original, 'did Bill speak to Mary'). +sent(s_142_3_q, swe, 'talade Bill med Mary'). + +tree(s_142_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_142_4_h, eng, 'Bill spoke to Mary'). +sent(s_142_4_h, original, 'Bill spoke to Mary'). +sent(s_142_4_h, swe, 'Bill talade med Mary'). + +tree(s_143_1_p, s_142_1_p). +sent(s_143_1_p, eng, 'John spoke to Mary'). +sent(s_143_1_p, original, 'John spoke to Mary'). +sent(s_143_1_p, swe, 'John talade med Mary'). + +tree(s_143_2_p, s_142_2_p). +sent(s_143_2_p, eng, 'so did Bill'). +sent(s_143_2_p, original, 'so did Bill'). +sent(s_143_2_p, swe, 'det gjorde Bill också'). + +tree(s_143_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(at_four_oclock_Adv, [])])])])])). +sent(s_143_3_p, eng, 'John spoke to Mary at four o\'clock'). +sent(s_143_3_p, original, 'John spoke to Mary at four o\'clock'). +sent(s_143_3_p, swe, 'John talade med Mary klockan fyra'). + +tree(s_143_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(at_four_oclock_Adv, [])])])])])])). +sent(s_143_4_q, eng, 'did Bill speak to Mary at four o\'clock'). +sent(s_143_4_q, original, 'did Bill speak to Mary at four o\'clock'). +sent(s_143_4_q, swe, 'talade Bill med Mary klockan fyra'). + +tree(s_143_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(at_four_oclock_Adv, [])])])])])). +sent(s_143_5_h, eng, 'Bill spoke to Mary at four o\'clock'). +sent(s_143_5_h, original, 'Bill spoke to Mary at four o\'clock'). +sent(s_143_5_h, swe, 'Bill talade med Mary klockan fyra'). + +tree(s_144_1_p, s_143_3_p). +sent(s_144_1_p, eng, 'John spoke to Mary at four o\'clock'). +sent(s_144_1_p, original, 'John spoke to Mary at four o\'clock'). +sent(s_144_1_p, swe, 'John talade med Mary klockan fyra'). + +tree(s_144_2_p, s_142_2_p). +sent(s_144_2_p, eng, 'so did Bill'). +sent(s_144_2_p, original, 'so did Bill'). +sent(s_144_2_p, swe, 'det gjorde Bill också'). + +tree(s_144_3_q, s_143_4_q). +sent(s_144_3_q, eng, 'did Bill speak to Mary at four o\'clock'). +sent(s_144_3_q, original, 'did Bill speak to Mary at four o\'clock'). +sent(s_144_3_q, swe, 'talade Bill med Mary klockan fyra'). + +tree(s_144_4_h, s_143_5_h). +sent(s_144_4_h, eng, 'Bill spoke to Mary at four o\'clock'). +sent(s_144_4_h, original, 'Bill spoke to Mary at four o\'clock'). +sent(s_144_4_h, swe, 'Bill talade med Mary klockan fyra'). + +tree(s_145_1_p, s_143_3_p). +sent(s_145_1_p, eng, 'John spoke to Mary at four o\'clock'). +sent(s_145_1_p, original, 'John spoke to Mary at four o\'clock'). +sent(s_145_1_p, swe, 'John talade med Mary klockan fyra'). + +tree(s_145_2_p, t('PSentence', [t(and_PConj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])]), t(at_five_oclock_Adv, [])])])])])). +sent(s_145_2_p, eng, 'and Bill did [..] at five o\'clock'). +sent(s_145_2_p, original, 'and Bill did [..] at five o\'clock'). +sent(s_145_2_p, swe, 'och Bill gjorde [..] klockan fem'). + +tree(s_145_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(at_five_oclock_Adv, [])])])])])])). +sent(s_145_3_q, eng, 'did Bill speak to Mary at five o\'clock'). +sent(s_145_3_q, original, 'did Bill speak to Mary at five o\'clock'). +sent(s_145_3_q, swe, 'talade Bill med Mary klockan fem'). + +tree(s_145_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(at_five_oclock_Adv, [])])])])])). +sent(s_145_4_h, eng, 'Bill spoke to Mary at five o\'clock'). +sent(s_145_4_h, original, 'Bill spoke to Mary at five o\'clock'). +sent(s_145_4_h, swe, 'Bill talade med Mary klockan fem'). + +tree(s_146_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_146_1_p, eng, 'John has spoken to Mary'). +sent(s_146_1_p, original, 'John has spoken to Mary'). +sent(s_146_1_p, swe, 'John har talat med Mary'). + +tree(s_146_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ProgrVPa', [t('ComplVV', [t(going_to_VV, []), t(elliptic_VP, [])])])])])])). +sent(s_146_2_p, eng, 'Bill is going to [..]'). +sent(s_146_2_p, original, 'Bill is going to [..]'). +sent(s_146_2_p, swe, 'Bill kommer att [..]'). + +tree(s_146_3_q, t('Question', [t('UseQCl', [t('Future', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])). +sent(s_146_3_q, eng, 'will Bill speak to Mary'). +sent(s_146_3_q, original, 'will Bill speak to Mary'). +sent(s_146_3_q, swe, 'ska Bill tala med Mary'). + +tree(s_146_4_h, t('Sentence', [t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_146_4_h, eng, 'Bill will speak to Mary'). +sent(s_146_4_h, original, 'Bill will speak to Mary'). +sent(s_146_4_h, swe, 'Bill ska tala med Mary'). + +tree(s_147_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(on_monday_Adv, [])])])])])). +sent(s_147_1_p, eng, 'John spoke to Mary on Monday'). +sent(s_147_1_p, original, 'John spoke to Mary on Monday'). +sent(s_147_1_p, swe, 'John talade med Mary på måndagen'). + +tree(s_147_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PNeg', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t(elliptic_VP, [])])])])). +sent(s_147_2_p, eng, 'Bill didn\'t [..]'). +sent(s_147_2_p, original, 'Bill didn\'t [..]'). +sent(s_147_2_p, swe, 'Bill [..] inte'). + +tree(s_147_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(on_monday_Adv, [])])])])])])). +sent(s_147_3_q, eng, 'did Bill speak to Mary on Monday'). +sent(s_147_3_q, original, 'did Bill speak to Mary on Monday'). +sent(s_147_3_q, swe, 'talade Bill med Mary på måndagen'). + +tree(s_147_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(on_monday_Adv, [])])])])])). +sent(s_147_4_h, eng, 'Bill spoke to Mary on Monday'). +sent(s_147_4_h, original, 'Bill spoke to Mary on Monday'). +sent(s_147_4_h, swe, 'Bill talade med Mary på måndagen'). + +tree(s_148_1_p, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])). +sent(s_148_1_p, eng, 'has John spoken to Mary'). +sent(s_148_1_p, original, 'has John spoken to Mary'). +sent(s_148_1_p, swe, 'har John talat med Mary'). + +tree(s_148_2_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t(elliptic_VP, [])])])])). +sent(s_148_2_p, eng, 'Bill has [..]'). +sent(s_148_2_p, original, 'Bill has [..]'). +sent(s_148_2_p, swe, 'Bill har [..]'). + +tree(s_148_3_q, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])). +sent(s_148_3_q, eng, 'has Bill spoken to Mary'). +sent(s_148_3_q, original, 'has Bill spoken to Mary'). +sent(s_148_3_q, swe, 'har Bill talat med Mary'). + +tree(s_148_4_h, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_148_4_h, eng, 'Bill has spoken to Mary'). +sent(s_148_4_h, original, 'Bill has spoken to Mary'). +sent(s_148_4_h, swe, 'Bill har talat med Mary'). + +tree(s_149_1_p, s_146_1_p). +sent(s_149_1_p, eng, 'John has spoken to Mary'). +sent(s_149_1_p, original, 'John has spoken to Mary'). +sent(s_149_1_p, swe, 'John har talat med Mary'). + +tree(s_149_2_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(student_N, [])])]), t('AdvVP', [t(elliptic_VP, []), t(too_Adv, [])])])])])). +sent(s_149_2_p, eng, 'the students have [..] too'). +sent(s_149_2_p, original, 'the students have [..] too'). +sent(s_149_2_p, swe, 'studenterna har [..] också'). + +tree(s_149_3_q, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(student_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])). +sent(s_149_3_q, eng, 'have the students spoken to Mary'). +sent(s_149_3_q, original, 'have the students spoken to Mary'). +sent(s_149_3_q, swe, 'har studenterna talat med Mary'). + +tree(s_149_4_h, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(student_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_149_4_h, eng, 'the students have spoken to Mary'). +sent(s_149_4_h, original, 'the students have spoken to Mary'). +sent(s_149_4_h, swe, 'studenterna har talat med Mary'). + +tree(s_150_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t(elliptic_VP, []), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])])). +sent(s_150_1_p, eng, 'John went to Paris by car , and Bill [..] by train'). +sent(s_150_1_p, original, 'John went to Paris by car , and Bill [..] by train'). +sent(s_150_1_p, swe, 'John åkte till Paris med bil , och Bill [..] med tåg'). + +tree(s_150_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])])). +sent(s_150_2_q, eng, 'did Bill go to Paris by train'). +sent(s_150_2_q, original, 'did Bill go to Paris by train'). +sent(s_150_2_q, swe, 'åkte Bill till Paris med tåg'). + +tree(s_150_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])). +sent(s_150_3_h, eng, 'Bill went to Paris by train'). +sent(s_150_3_h, original, 'Bill went to Paris by train'). +sent(s_150_3_h, swe, 'Bill åkte till Paris med tåg'). + +tree(s_151_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t(elliptic_VP, []), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(berlin_PN, [])])])])])])])])). +sent(s_151_1_p, eng, 'John went to Paris by car , and Bill [..] by train to Berlin'). +sent(s_151_1_p, original, 'John went to Paris by car , and Bill [..] by train to Berlin'). +sent(s_151_1_p, swe, 'John åkte till Paris med bil , och Bill [..] med tåg till Berlin'). + +tree(s_151_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(berlin_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])])). +sent(s_151_2_q, eng, 'did Bill go to Berlin by train'). +sent(s_151_2_q, original, 'did Bill go to Berlin by train'). +sent(s_151_2_q, swe, 'åkte Bill till Berlin med tåg'). + +tree(s_151_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(berlin_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])). +sent(s_151_3_h, eng, 'Bill went to Berlin by train'). +sent(s_151_3_h, original, 'Bill went to Berlin by train'). +sent(s_151_3_h, swe, 'Bill åkte till Berlin med tåg'). + +tree(s_152_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t(elliptic_VP, []), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(berlin_PN, [])])])])])])])])). +sent(s_152_1_p, eng, 'John went to Paris by car , and Bill [..] to Berlin'). +sent(s_152_1_p, original, 'John went to Paris by car , and Bill [..] to Berlin'). +sent(s_152_1_p, swe, 'John åkte till Paris med bil , och Bill [..] till Berlin'). + +tree(s_152_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(berlin_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_152_2_q, eng, 'did Bill go to Berlin by car'). +sent(s_152_2_q, original, 'did Bill go to Berlin by car'). +sent(s_152_2_q, swe, 'åkte Bill till Berlin med bil'). + +tree(s_152_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(berlin_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])])])). +sent(s_152_3_h, eng, 'Bill went to Berlin by car'). +sent(s_152_3_h, original, 'Bill went to Berlin by car'). +sent(s_152_3_h, swe, 'Bill åkte till Berlin med bil'). + +tree(s_153_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('AdvVP', [t('ProgrVPa', [t('UseV', [t(go8travel_V, [])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])]), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(student_N, [])])]), t('AdvVP', [t(elliptic_VP, []), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])])). +sent(s_153_1_p, eng, 'John is going to Paris by car , and the students [..] by train'). +sent(s_153_1_p, original, 'John is going to Paris by car , and the students [..] by train'). +sent(s_153_1_p, swe, 'John åker till Paris med bil , och studenterna [..] med tåg'). + +tree(s_153_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(student_N, [])])]), t('AdvVP', [t('AdvVP', [t('ProgrVPa', [t('UseV', [t(go8travel_V, [])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])])). +sent(s_153_2_q, eng, 'are the students going to Paris by train'). +sent(s_153_2_q, original, 'are the students going to Paris by train'). +sent(s_153_2_q, swe, 'åker studenterna till Paris med tåg'). + +tree(s_153_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(student_N, [])])]), t('AdvVP', [t('AdvVP', [t('ProgrVPa', [t('UseV', [t(go8travel_V, [])])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])). +sent(s_153_3_h, eng, 'the students are going to Paris by train'). +sent(s_153_3_h, original, 'the students are going to Paris by train'). +sent(s_153_3_h, swe, 'studenterna åker till Paris med tåg'). + +tree(s_154_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(paris_PN, [])])])]), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(car_N, [])])])])])])])])). +sent(s_154_1_p, eng, 'John went to Paris by car'). +sent(s_154_1_p, original, 'John went to Paris by car'). +sent(s_154_1_p, swe, 'John åkte till Paris med bil'). + +tree(s_154_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t(elliptic_VP, []), t('PrepNP', [t(by8means_Prep, []), t('MassNP', [t('UseN', [t(train_N, [])])])])])])])])). +sent(s_154_2_p, eng, 'Bill [..] by train'). +sent(s_154_2_p, original, 'Bill [..] by train'). +sent(s_154_2_p, swe, 'Bill [..] med tåg'). + +tree(s_154_3_q, s_150_2_q). +sent(s_154_3_q, eng, 'did Bill go to Paris by train'). +sent(s_154_3_q, original, 'did Bill go to Paris by train'). +sent(s_154_3_q, swe, 'åkte Bill till Paris med tåg'). + +tree(s_154_4_h, s_150_3_h). +sent(s_154_4_h, eng, 'Bill went to Paris by train'). +sent(s_154_4_h, original, 'Bill went to Paris by train'). +sent(s_154_4_h, swe, 'Bill åkte till Paris med tåg'). + +tree(s_155_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])). +sent(s_155_1_p, eng, 'John owns a car'). +sent(s_155_1_p, original, 'John owns a car'). +sent(s_155_1_p, swe, 'John äger en bil'). + +tree(s_155_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetNP', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])])])]), t(too_Adv, [])])])])])). +sent(s_155_2_p, eng, 'Bill owns one too'). +sent(s_155_2_p, original, 'Bill owns one too'). +sent(s_155_2_p, swe, 'Bill äger ett också'). + +tree(s_155_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_155_3_q, eng, 'does Bill own a car'). +sent(s_155_3_q, original, 'does Bill own a car'). +sent(s_155_3_q, swe, 'äger Bill en bil'). + +tree(s_155_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])). +sent(s_155_4_h, eng, 'Bill owns a car'). +sent(s_155_4_h, original, 'Bill owns a car'). +sent(s_155_4_h, swe, 'Bill äger en bil'). + +tree(s_156_1_p, s_155_1_p). +sent(s_156_1_p, eng, 'John owns a car'). +sent(s_156_1_p, original, 'John owns a car'). +sent(s_156_1_p, swe, 'John äger en bil'). + +tree(s_156_2_p, s_155_2_p). +sent(s_156_2_p, eng, 'Bill owns one too'). +sent(s_156_2_p, original, 'Bill owns one too'). +sent(s_156_2_p, swe, 'Bill äger ett också'). + +tree(s_156_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('RelCN', [t('UseN', [t(car_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelSlash', [t(that_RP, []), t('SlashVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(john_PN, [])]), t('UsePN', [t(bill_PN, [])])]), t('SlashV2a', [t(own_V2, [])])])])])])])])])])])). +sent(s_156_3_q, eng, 'is there a car that John and Bill own'). +sent(s_156_3_q, original, 'is there a car that John and Bill own'). +sent(s_156_3_q, swe, 'finns det en bil som John och Bill äger'). + +tree(s_156_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('RelCN', [t('UseN', [t(car_N, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelSlash', [t(that_RP, []), t('SlashVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(john_PN, [])]), t('UsePN', [t(bill_PN, [])])]), t('SlashV2a', [t(own_V2, [])])])])])])])])])])). +sent(s_156_4_h, eng, 'there is a car that John and Bill own'). +sent(s_156_4_h, original, 'there is a car that John and Bill own'). +sent(s_156_4_h, swe, 'det finns en bil som John och Bill äger'). + +tree(s_157_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_157_1_p, eng, 'John owns a red car'). +sent(s_157_1_p, original, 'John owns a red car'). +sent(s_157_1_p, swe, 'John äger en röd bil'). + +tree(s_157_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(blue_A, [])]), t('UseN', [t(one_N, [])])])])])])])])). +sent(s_157_2_p, eng, 'Bill owns a blue one'). +sent(s_157_2_p, original, 'Bill owns a blue one'). +sent(s_157_2_p, swe, 'Bill äger en blå en'). + +tree(s_157_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(blue_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_157_3_q, eng, 'does Bill own a blue car'). +sent(s_157_3_q, original, 'does Bill own a blue car'). +sent(s_157_3_q, swe, 'äger Bill en blå bil'). + +tree(s_157_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(blue_A, [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_157_4_h, eng, 'Bill owns a blue car'). +sent(s_157_4_h, original, 'Bill owns a blue car'). +sent(s_157_4_h, swe, 'Bill äger en blå bil'). + +tree(s_158_1_p, s_157_1_p). +sent(s_158_1_p, eng, 'John owns a red car'). +sent(s_158_1_p, original, 'John owns a red car'). +sent(s_158_1_p, swe, 'John äger en röd bil'). + +tree(s_158_2_p, s_157_2_p). +sent(s_158_2_p, eng, 'Bill owns a blue one'). +sent(s_158_2_p, original, 'Bill owns a blue one'). +sent(s_158_2_p, swe, 'Bill äger en blå en'). + +tree(s_158_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_158_3_q, eng, 'does Bill own a red car'). +sent(s_158_3_q, original, 'does Bill own a red car'). +sent(s_158_3_q, swe, 'äger Bill en röd bil'). + +tree(s_158_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_158_4_h, eng, 'Bill owns a red car'). +sent(s_158_4_h, original, 'Bill owns a red car'). +sent(s_158_4_h, swe, 'Bill äger en röd bil'). + +tree(s_159_1_p, s_157_1_p). +sent(s_159_1_p, eng, 'John owns a red car'). +sent(s_159_1_p, original, 'John owns a red car'). +sent(s_159_1_p, swe, 'John äger en röd bil'). + +tree(s_159_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(fast_A, [])]), t('UseN', [t(one_N, [])])])])])])])])). +sent(s_159_2_p, eng, 'Bill owns a fast one'). +sent(s_159_2_p, original, 'Bill owns a fast one'). +sent(s_159_2_p, swe, 'Bill äger en snabb en'). + +tree(s_159_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(fast_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_159_3_q, eng, 'does Bill own a fast car'). +sent(s_159_3_q, original, 'does Bill own a fast car'). +sent(s_159_3_q, swe, 'äger Bill en snabb bil'). + +tree(s_159_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(fast_A, [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_159_4_h, eng, 'Bill owns a fast car'). +sent(s_159_4_h, original, 'Bill owns a fast car'). +sent(s_159_4_h, swe, 'Bill äger en snabb bil'). + +tree(s_160_1_p, s_157_1_p). +sent(s_160_1_p, eng, 'John owns a red car'). +sent(s_160_1_p, original, 'John owns a red car'). +sent(s_160_1_p, swe, 'John äger en röd bil'). + +tree(s_160_2_p, s_159_2_p). +sent(s_160_2_p, eng, 'Bill owns a fast one'). +sent(s_160_2_p, original, 'Bill owns a fast one'). +sent(s_160_2_p, swe, 'Bill äger en snabb en'). + +tree(s_160_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(fast_A, [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])])). +sent(s_160_3_q, eng, 'does Bill own a fast red car'). +sent(s_160_3_q, original, 'does Bill own a fast red car'). +sent(s_160_3_q, swe, 'äger Bill en snabb röd bil'). + +tree(s_160_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(fast_A, [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_160_4_h, eng, 'Bill owns a fast red car'). +sent(s_160_4_h, original, 'Bill owns a fast red car'). +sent(s_160_4_h, swe, 'Bill äger en snabb röd bil'). + +tree(s_161_1_p, s_157_1_p). +sent(s_161_1_p, eng, 'John owns a red car'). +sent(s_161_1_p, original, 'John owns a red car'). +sent(s_161_1_p, swe, 'John äger en röd bil'). + +tree(s_161_2_p, s_159_2_p). +sent(s_161_2_p, eng, 'Bill owns a fast one'). +sent(s_161_2_p, original, 'Bill owns a fast one'). +sent(s_161_2_p, swe, 'Bill äger en snabb en'). + +tree(s_161_3_q, s_160_3_q). +sent(s_161_3_q, eng, 'does Bill own a fast red car'). +sent(s_161_3_q, original, 'does Bill own a fast red car'). +sent(s_161_3_q, swe, 'äger Bill en snabb röd bil'). + +tree(s_161_4_h, s_160_4_h). +sent(s_161_4_h, eng, 'Bill owns a fast red car'). +sent(s_161_4_h, original, 'Bill owns a fast red car'). +sent(s_161_4_h, swe, 'Bill äger en snabb röd bil'). + +tree(s_162_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(fast_A, [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_162_1_p, eng, 'John owns a fast red car'). +sent(s_162_1_p, original, 'John owns a fast red car'). +sent(s_162_1_p, swe, 'John äger en snabb röd bil'). + +tree(s_162_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(slow_A, [])]), t('UseN', [t(one_N, [])])])])])])])])). +sent(s_162_2_p, eng, 'Bill owns a slow one'). +sent(s_162_2_p, original, 'Bill owns a slow one'). +sent(s_162_2_p, swe, 'Bill äger en långsam en'). + +tree(s_162_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(slow_A, [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])])). +sent(s_162_3_q, eng, 'does Bill own a slow red car'). +sent(s_162_3_q, original, 'does Bill own a slow red car'). +sent(s_162_3_q, swe, 'äger Bill en långsam röd bil'). + +tree(s_162_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(slow_A, [])]), t('AdjCN', [t('PositA', [t(red_A, [])]), t('UseN', [t(car_N, [])])])])])])])])])). +sent(s_162_4_h, eng, 'Bill owns a slow red car'). +sent(s_162_4_h, original, 'Bill owns a slow red car'). +sent(s_162_4_h, swe, 'Bill äger en långsam röd bil'). + +tree(s_163_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(paper_N, [])])]), t(accept_V2, [])])])])])])). +sent(s_163_1_p, eng, 'John had his paper accepted'). +sent(s_163_1_p, original, 'John had his paper accepted'). +sent(s_163_1_p, swe, 'John hade sin uppsats godkänd'). + +tree(s_163_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PNeg', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestIAdv', [t(why_IAdv, []), t(elliptic_Cl, [])])])])])])])). +sent(s_163_2_p, eng, 'Bill doesn\'t know why [..]'). +sent(s_163_2_p, original, 'Bill doesn\'t know why [..]'). +sent(s_163_2_p, swe, 'Bill vet inte varför [..]'). + +tree(s_163_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestIAdv', [t(why_IAdv, []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(paper_N, [])])]), t(accept_V2, [])])])])])])])])])])])). +sent(s_163_3_q, eng, 'does Bill know why John had his paper accepted'). +sent(s_163_3_q, original, 'does Bill know why John had his paper accepted'). +sent(s_163_3_q, swe, 'vet Bill varför John hade sin uppsats godkänd'). + +tree(s_163_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestIAdv', [t(why_IAdv, []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('PPartNP', [t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(paper_N, [])])]), t(accept_V2, [])])])])])])])])])])). +sent(s_163_4_h, eng, 'Bill knows why John had his paper accepted'). +sent(s_163_4_h, original, 'Bill knows why John had his paper accepted'). +sent(s_163_4_h, swe, 'Bill vet varför John hade sin uppsats godkänd'). + +tree(s_164_1_p, s_142_1_p). +sent(s_164_1_p, eng, 'John spoke to Mary'). +sent(s_164_1_p, original, 'John spoke to Mary'). +sent(s_164_1_p, swe, 'John talade med Mary'). + +tree(s_164_2_p, t('PAdverbial', [t(and_PConj, []), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(sue_PN, [])])])])). +sent(s_164_2_p, eng, 'and to Sue'). +sent(s_164_2_p, original, 'and to Sue'). +sent(s_164_2_p, swe, 'och till Sue'). + +tree(s_164_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(sue_PN, [])])])])])])])). +sent(s_164_3_q, eng, 'did John speak to Sue'). +sent(s_164_3_q, original, 'did John speak to Sue'). +sent(s_164_3_q, swe, 'talade John med Sue'). + +tree(s_164_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(sue_PN, [])])])])])])). +sent(s_164_4_h, eng, 'John spoke to Sue'). +sent(s_164_4_h, original, 'John spoke to Sue'). +sent(s_164_4_h, swe, 'John talade med Sue'). + +tree(s_165_1_p, s_142_1_p). +sent(s_165_1_p, eng, 'John spoke to Mary'). +sent(s_165_1_p, original, 'John spoke to Mary'). +sent(s_165_1_p, swe, 'John talade med Mary'). + +tree(s_165_2_p, t('Adverbial', [t(on_friday_Adv, [])])). +sent(s_165_2_p, eng, 'on Friday'). +sent(s_165_2_p, original, 'on Friday'). +sent(s_165_2_p, swe, 'på fredagen'). + +tree(s_165_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(on_friday_Adv, [])])])])])])). +sent(s_165_3_q, eng, 'did John speak to Mary on Friday'). +sent(s_165_3_q, original, 'did John speak to Mary on Friday'). +sent(s_165_3_q, swe, 'talade John med Mary på fredagen'). + +tree(s_165_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(on_friday_Adv, [])])])])])). +sent(s_165_4_h, eng, 'John spoke to Mary on Friday'). +sent(s_165_4_h, original, 'John spoke to Mary on Friday'). +sent(s_165_4_h, swe, 'John talade med Mary på fredagen'). + +tree(s_166_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t(on_thursday_Adv, [])])])])])). +sent(s_166_1_p, eng, 'John spoke to Mary on Thursday'). +sent(s_166_1_p, original, 'John spoke to Mary on Thursday'). +sent(s_166_1_p, swe, 'John talade med Mary på torsdagen'). + +tree(s_166_2_p, t('PAdverbial', [t(and_PConj, []), t(on_friday_Adv, [])])). +sent(s_166_2_p, eng, 'and on Friday'). +sent(s_166_2_p, original, 'and on Friday'). +sent(s_166_2_p, swe, 'och på fredagen'). + +tree(s_166_3_q, s_165_3_q). +sent(s_166_3_q, eng, 'did John speak to Mary on Friday'). +sent(s_166_3_q, original, 'did John speak to Mary on Friday'). +sent(s_166_3_q, swe, 'talade John med Mary på fredagen'). + +tree(s_166_4_h, s_165_4_h). +sent(s_166_4_h, eng, 'John spoke to Mary on Friday'). +sent(s_166_4_h, original, 'John spoke to Mary on Friday'). +sent(s_166_4_h, swe, 'John talade med Mary på fredagen'). + +tree(s_167_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_twenty', [])])])]), t('UseN', [t(man_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(work_in_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(sales_department_N, [])])])])])])])). +sent(s_167_1_p, eng, 'twenty men work in the sales department'). +sent(s_167_1_p, original, 'twenty men work in the sales department'). +sent(s_167_1_p, swe, 'tjugo män arbetar på försäljningsavdelningen'). + +tree(s_167_2_p, t('PNounphrase', [t(but_PConj, []), t('PredetNP', [t(only_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('UseN', [t(woman_N, [])])])])])). +sent(s_167_2_p, eng, 'but only one woman'). +sent(s_167_2_p, original, 'but only one woman'). +sent(s_167_2_p, swe, 'men bara en kvinna'). + +tree(s_167_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(woman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(work_in_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(sales_department_N, [])])])])])])])])). +sent(s_167_3_q, eng, 'do two women work in the sales department'). +sent(s_167_3_q, original, 'do two women work in the sales department'). +sent(s_167_3_q, swe, 'arbetar två kvinnor på försäljningsavdelningen'). + +tree(s_167_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(woman_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(work_in_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(sales_department_N, [])])])])])])])). +sent(s_167_4_h, eng, 'two women work in the sales department'). +sent(s_167_4_h, original, 'two women work in the sales department'). +sent(s_167_4_h, swe, 'två kvinnor arbetar på försäljningsavdelningen'). + +tree(s_168_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_five', [])])])]), t('UseN', [t(man_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])). +sent(s_168_1_p, eng, 'five men work part time'). +sent(s_168_1_p, original, 'five men work part time'). +sent(s_168_1_p, swe, 'fem män arbetar deltid'). + +tree(s_168_2_p, t('PNounphrase', [t(and_PConj, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_fortyfive', [])])])]), t('UseN', [t(woman_N, [])])])])). +sent(s_168_2_p, eng, 'and forty five women'). +sent(s_168_2_p, original, 'and forty five women'). +sent(s_168_2_p, swe, 'och fyrtiofem kvinnor'). + +tree(s_168_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_fortyfive', [])])])]), t('UseN', [t(woman_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])])). +sent(s_168_3_q, eng, 'do forty five women work part time'). +sent(s_168_3_q, original, 'do forty five women work part time'). +sent(s_168_3_q, swe, 'arbetar fyrtiofem kvinnor deltid'). + +tree(s_168_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_fortyfive', [])])])]), t('UseN', [t(woman_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])). +sent(s_168_4_h, eng, 'forty five women work part time'). +sent(s_168_4_h, original, 'forty five women work part time'). +sent(s_168_4_h, swe, 'fyrtiofem kvinnor arbetar deltid'). + +tree(s_169_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t('PrepNP', [t(before_Prep, []), t('UsePN', [t(bill_PN, [])])])])])])])). +sent(s_169_1_p, eng, 'John found Mary before Bill'). +sent(s_169_1_p, original, 'John found Mary before Bill'). +sent(s_169_1_p, swe, 'John hittade Mary före Bill'). + +tree(s_169_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])])])])])). +sent(s_169_2_q, eng, 'did John find Mary before Bill found Mary'). +sent(s_169_2_q, original, 'did John find Mary before Bill found Mary'). +sent(s_169_2_q, swe, 'hittade John Mary innan Bill hittade Mary'). + +tree(s_169_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])])])])). +sent(s_169_3_h, eng, 'John found Mary before Bill found Mary'). +sent(s_169_3_h, original, 'John found Mary before Bill found Mary'). +sent(s_169_3_h, swe, 'John hittade Mary innan Bill hittade Mary'). + +tree(s_170_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('AdvNP', [t('UsePN', [t(mary_PN, [])]), t('PrepNP', [t(before_Prep, []), t('UsePN', [t(bill_PN, [])])])])])])])])). +sent(s_170_1_p, eng, 'John found Mary before Bill'). +sent(s_170_1_p, original, 'John found Mary before Bill'). +sent(s_170_1_p, swe, 'John hittade Mary före Bill'). + +tree(s_170_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(bill_PN, [])])])])])])])])])])])). +sent(s_170_2_q, eng, 'did John find Mary before John found Bill'). +sent(s_170_2_q, original, 'did John find Mary before John found Bill'). +sent(s_170_2_q, swe, 'hittade John Mary innan John hittade Bill'). + +tree(s_170_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(mary_PN, [])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(find_V2, [])]), t('UsePN', [t(bill_PN, [])])])])])])])])])])). +sent(s_170_3_h, eng, 'John found Mary before John found Bill'). +sent(s_170_3_h, original, 'John found Mary before John found Bill'). +sent(s_170_3_h, swe, 'John hittade Mary innan John hittade Bill'). + +tree(s_171_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t(how8many_IDet, []), t('UseN', [t(man_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])])])])])). +sent(s_171_1_p, eng, 'John wants to know how many men work part time'). +sent(s_171_1_p, original, 'John wants to know how many men work part time'). +sent(s_171_1_p, swe, 'John vill veta hur många män som arbetar deltid'). + +tree(s_171_2_p, t('PNounphrase', [t(and_PConj, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(woman_N, [])])])])). +sent(s_171_2_p, eng, 'and women'). +sent(s_171_2_p, original, 'and women'). +sent(s_171_2_p, swe, 'och kvinnor'). + +tree(s_171_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t(how8many_IDet, []), t('UseN', [t(woman_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])])])])])])). +sent(s_171_3_q, eng, 'does John want to know how many women work part time'). +sent(s_171_3_q, original, 'does John want to know how many women work part time'). +sent(s_171_3_q, swe, 'vill John veta hur många kvinnor som arbetar deltid'). + +tree(s_171_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t(how8many_IDet, []), t('UseN', [t(woman_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])])])])])). +sent(s_171_4_h, eng, 'John wants to know how many women work part time'). +sent(s_171_4_h, original, 'John wants to know how many women work part time'). +sent(s_171_4_h, swe, 'John vill veta hur många kvinnor som arbetar deltid'). + +tree(s_172_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplVQ', [t(know_VQ, []), t('ConjQS2', [t(comma_and_Conj, []), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t(how8many_IDet, []), t('UseN', [t(man_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])]), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t('IdetQuant', [t(which_IQuant, []), t('NumPl', [])]), t(elliptic_CN, [])]), t(elliptic_VP, [])])])])])])])])])). +sent(s_172_1_p, eng, 'John wants to know which [..] [..] , and which [..] [..]'). +sent(s_172_1_p, original, 'John wants to know how many men work part time , and which [..] [..]'). +sent(s_172_1_p, swe, 'John vill veta vilka [..] som [..] , och vilka [..] som [..]'). + +tree(s_172_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t('IdetQuant', [t(which_IQuant, []), t('NumPl', [])]), t('UseN', [t(man_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])])])])])])). +sent(s_172_2_q, eng, 'does John want to know which men work part time'). +sent(s_172_2_q, original, 'does John want to know which men work part time'). +sent(s_172_2_q, swe, 'vill John veta vilka män som arbetar deltid'). + +tree(s_172_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplVQ', [t(know_VQ, []), t('UseQCl', [t('Present', []), t('PPos', []), t('QuestVP', [t('IdetCN', [t('IdetQuant', [t(which_IQuant, []), t('NumPl', [])]), t('UseN', [t(man_N, [])])]), t('AdvVP', [t('UseV', [t(work_V, [])]), t(part_time_Adv, [])])])])])])])])])). +sent(s_172_3_h, eng, 'John wants to know which men work part time'). +sent(s_172_3_h, original, 'John wants to know which men work part time'). +sent(s_172_3_h, swe, 'John vill veta vilka män som arbetar deltid'). + +tree(s_173_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('RelNPa', [t('UsePron', [t(everyone_Pron, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('StrandRelSlash', [t(that_RP, []), t('SlashVP', [t('UsePN', [t(john_PN, [])]), t('SlashVV', [t(do_VV, []), t(elliptic_VPSlash, [])])])])])])])])])])). +sent(s_173_1_p, eng, 'Bill spoke to everyone that John did [..]'). +sent(s_173_1_p, original, 'Bill spoke to everyone that John did [..]'). +sent(s_173_1_p, swe, 'Bill talade med alla som John gjorde [..] [..]'). + +tree(s_173_2_p, s_142_1_p). +sent(s_173_2_p, eng, 'John spoke to Mary'). +sent(s_173_2_p, original, 'John spoke to Mary'). +sent(s_173_2_p, swe, 'John talade med Mary'). + +tree(s_173_3_q, s_142_3_q). +sent(s_173_3_q, eng, 'did Bill speak to Mary'). +sent(s_173_3_q, original, 'did Bill speak to Mary'). +sent(s_173_3_q, swe, 'talade Bill med Mary'). + +tree(s_173_4_h, s_142_4_h). +sent(s_173_4_h, eng, 'Bill spoke to Mary'). +sent(s_173_4_h, original, 'Bill spoke to Mary'). +sent(s_173_4_h, swe, 'Bill talade med Mary'). + +tree(s_174_1_p, s_173_1_p). +sent(s_174_1_p, eng, 'Bill spoke to everyone that John did [..]'). +sent(s_174_1_p, original, 'Bill spoke to everyone that John did [..]'). +sent(s_174_1_p, swe, 'Bill talade med alla som John gjorde [..] [..]'). + +tree(s_174_2_p, s_142_4_h). +sent(s_174_2_p, eng, 'Bill spoke to Mary'). +sent(s_174_2_p, original, 'Bill spoke to Mary'). +sent(s_174_2_p, swe, 'Bill talade med Mary'). + +tree(s_174_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(speak_to_V2, [])]), t('UsePN', [t(mary_PN, [])])])])])])])). +sent(s_174_3_q, eng, 'did John speak to Mary'). +sent(s_174_3_q, original, 'did John speak to Mary'). +sent(s_174_3_q, swe, 'talade John med Mary'). + +tree(s_174_4_h, s_142_1_p). +sent(s_174_4_h, eng, 'John spoke to Mary'). +sent(s_174_4_h, original, 'John spoke to Mary'). +sent(s_174_4_h, swe, 'John talade med Mary'). + +tree(s_175_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])]), t(too_Adv, [])])])])])])). +sent(s_175_1_p, eng, 'John said Mary wrote a report , and Bill did [..] too'). +sent(s_175_1_p, original, 'John said Mary wrote a report , and Bill did [..] too'). +sent(s_175_1_p, swe, 'John sade att Mary skrev en rapport , och Bill gjorde [..] också'). + +tree(s_175_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])). +sent(s_175_2_q, eng, 'did Bill say Mary wrote a report'). +sent(s_175_2_q, original, 'did Bill say Mary wrote a report'). +sent(s_175_2_q, swe, 'sade Bill att Mary skrev en rapport'). + +tree(s_175_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])). +sent(s_175_3_h, eng, 'Bill said Mary wrote a report'). +sent(s_175_3_h, original, 'Bill said Mary wrote a report'). +sent(s_175_3_h, swe, 'Bill sade att Mary skrev en rapport'). + +tree(s_176_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])]), t(too_Adv, [])])])])])])])])])). +sent(s_176_1_p, eng, 'John said Mary wrote a report , and Bill did [..] too'). +sent(s_176_1_p, original, 'John said Mary wrote a report , and Bill did [..] too'). +sent(s_176_1_p, swe, 'John sade att Mary skrev en rapport , och Bill gjorde [..] också'). + +tree(s_176_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])). +sent(s_176_2_q, eng, 'did John say Bill wrote a report'). +sent(s_176_2_q, original, 'did John say Bill wrote a report'). +sent(s_176_2_q, swe, 'sade John att Bill skrev en rapport'). + +tree(s_176_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])). +sent(s_176_3_h, eng, 'John said Bill wrote a report'). +sent(s_176_3_h, original, 'John said Bill wrote a report'). +sent(s_176_3_h, swe, 'John sade att Bill skrev en rapport'). + +sent(s_177_1_p, original, 'John said that Mary wrote a report , and that Bill did [..] too'). + +tree(s_177_1_p_NEW, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVS', [t(say_VS, []), t('PredVPS', [t('UsePN', [t(mary_PN, [])]), t('ConjVPS2', [t(comma_and_Conj, []), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t('Past', []), t('PPos', []), t('ComplVS', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])]), t(too_Adv, [])])])])])])])])])])])). +sent(s_177_1_p_NEW, eng, 'John said that Mary wrote a report , and said that Bill did [..] too'). +sent(s_177_1_p_NEW, original, 'John said that Mary wrote a report , and said that Bill did [..] too'). +sent(s_177_1_p_NEW, swe, 'John sade att Mary skrev en rapport , och sade att Bill gjorde [..] också'). + +tree(s_177_2_q, s_175_2_q). +sent(s_177_2_q, eng, 'did Bill say Mary wrote a report'). +sent(s_177_2_q, original, 'did Bill say Mary wrote a report'). +sent(s_177_2_q, swe, 'sade Bill att Mary skrev en rapport'). + +tree(s_177_3_h, s_175_3_h). +sent(s_177_3_h, eng, 'Bill said Mary wrote a report'). +sent(s_177_3_h, original, 'Bill said Mary wrote a report'). +sent(s_177_3_h, swe, 'Bill sade att Mary skrev en rapport'). + +tree(s_178_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(peter_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])]), t(too_Adv, [])])])])])])). +sent(s_178_1_p, eng, 'John wrote a report , and Bill said Peter did [..] too'). +sent(s_178_1_p, original, 'John wrote a report , and Bill said Peter did [..] too'). +sent(s_178_1_p, swe, 'John skrev en rapport , och Bill sade att Peter gjorde [..] också'). + +tree(s_178_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(peter_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])). +sent(s_178_2_q, eng, 'did Bill say Peter wrote a report'). +sent(s_178_2_q, original, 'did Bill say Peter wrote a report'). +sent(s_178_2_q, swe, 'sade Bill att Peter skrev en rapport'). + +tree(s_178_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVSa', [t(say_VS, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(peter_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])). +sent(s_178_3_h, eng, 'Bill said Peter wrote a report'). +sent(s_178_3_h, original, 'Bill said Peter wrote a report'). +sent(s_178_3_h, swe, 'Bill sade att Peter skrev en rapport'). + +tree(s_179_1_p, t('Sentence', [t('ConjS2', [t(if_comma_then_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('AdvVP', [t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])]), t(too_Adv, [])])])])])])). +sent(s_179_1_p, eng, 'if John wrote a report , then Bill did [..] too'). +sent(s_179_1_p, original, 'if John wrote a report , then Bill did [..] too'). +sent(s_179_1_p, swe, 'om John skrev en rapport så Bill gjorde [..] också'). + +tree(s_179_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])). +sent(s_179_2_p, eng, 'John wrote a report'). +sent(s_179_2_p, original, 'John wrote a report'). +sent(s_179_2_p, swe, 'John skrev en rapport'). + +tree(s_179_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])). +sent(s_179_3_q, eng, 'did Bill write a report'). +sent(s_179_3_q, original, 'did Bill write a report'). +sent(s_179_3_q, swe, 'skrev Bill en rapport'). + +tree(s_179_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])). +sent(s_179_4_h, eng, 'Bill wrote a report'). +sent(s_179_4_h, original, 'Bill wrote a report'). +sent(s_179_4_h, swe, 'Bill skrev en rapport'). + +tree(s_180_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(want_VV, []), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])). +sent(s_180_1_p, eng, 'John wanted to buy a car , and he did [..]'). +sent(s_180_1_p, original, 'John wanted to buy a car , and he did [..]'). +sent(s_180_1_p, swe, 'John ville köpa en bil , och han gjorde [..]'). + +tree(s_180_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_180_2_q, eng, 'did John buy a car'). +sent(s_180_2_q, original, 'did John buy a car'). +sent(s_180_2_q, swe, 'köpte John en bil'). + +tree(s_180_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])). +sent(s_180_3_h, eng, 'John bought a car'). +sent(s_180_3_h, original, 'John bought a car'). +sent(s_180_3_h, swe, 'John köpte en bil'). + +tree(s_181_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplVV', [t(need_VV, []), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])). +sent(s_181_1_p, eng, 'John needed to buy a car , and Bill did [..]'). +sent(s_181_1_p, original, 'John needed to buy a car , and Bill did [..]'). +sent(s_181_1_p, swe, 'John behövde köpa en bil , och Bill gjorde [..]'). + +tree(s_181_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])])). +sent(s_181_2_q, eng, 'did Bill buy a car'). +sent(s_181_2_q, original, 'did Bill buy a car'). +sent(s_181_2_q, swe, 'köpte Bill en bil'). + +tree(s_181_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(car_N, [])])])])])])])). +sent(s_181_3_h, eng, 'Bill bought a car'). +sent(s_181_3_h, original, 'Bill bought a car'). +sent(s_181_3_h, swe, 'Bill köpte en bil'). + +tree(s_182_1_p, t('Sentence', [t('ConjS2', [t(and_Conj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])]), t('UseCl', [t('Present', []), t('PPos', []), t('SoDoI', [t('UsePN', [t(jones_PN, [])])])])])])). +sent(s_182_1_p, eng, 'Smith represents his company and so does Jones'). +sent(s_182_1_p, original, 'Smith represents his company and so does Jones'). +sent(s_182_1_p, swe, 'Smith representerar sitt företag och det gör Jones också'). + +tree(s_182_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])])). +sent(s_182_2_q, eng, 'does Jones represent Jones\' company'). +sent(s_182_2_q, original, 'does Jones represent Jones\' company'). +sent(s_182_2_q, swe, 'representerar Jones Jones företag'). + +tree(s_182_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])). +sent(s_182_3_h, eng, 'Jones represents Jones\' company'). +sent(s_182_3_h, original, 'Jones represents Jones\' company'). +sent(s_182_3_h, swe, 'Jones representerar Jones företag'). + +tree(s_183_1_p, s_182_1_p). +sent(s_183_1_p, eng, 'Smith represents his company and so does Jones'). +sent(s_183_1_p, original, 'Smith represents his company and so does Jones'). +sent(s_183_1_p, swe, 'Smith representerar sitt företag och det gör Jones också'). + +tree(s_183_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])])). +sent(s_183_2_q, eng, 'does Jones represent Smith\'s company'). +sent(s_183_2_q, original, 'does Jones represent Smith\'s company'). +sent(s_183_2_q, swe, 'representerar Jones Smiths företag'). + +tree(s_183_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])). +sent(s_183_3_h, eng, 'Jones represents Smith\'s company'). +sent(s_183_3_h, original, 'Jones represents Smith\'s company'). +sent(s_183_3_h, swe, 'Jones representerar Smiths företag'). + +tree(s_184_1_p, s_182_1_p). +sent(s_184_1_p, eng, 'Smith represents his company and so does Jones'). +sent(s_184_1_p, original, 'Smith represents his company and so does Jones'). +sent(s_184_1_p, swe, 'Smith representerar sitt företag och det gör Jones också'). + +tree(s_184_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])])). +sent(s_184_2_q, eng, 'does Smith represent Jones\' company'). +sent(s_184_2_q, original, 'does Smith represent Jones\' company'). +sent(s_184_2_q, swe, 'representerar Smith Jones företag'). + +tree(s_184_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])). +sent(s_184_3_h, eng, 'Smith represents Jones\' company'). +sent(s_184_3_h, original, 'Smith represents Jones\' company'). +sent(s_184_3_h, swe, 'Smith representerar Jones företag'). + +tree(s_185_1_p, t('Sentence', [t('ConjS2', [t(and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('SoDoI', [t('UsePN', [t(jones_PN, [])])])])])])). +sent(s_185_1_p, eng, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_185_1_p, original, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_185_1_p, swe, 'Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också'). + +tree(s_185_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])])])). +sent(s_185_2_q, eng, 'did Jones claim he had costed his own proposal'). +sent(s_185_2_q, original, 'did Jones claim he had costed his own proposal'). +sent(s_185_2_q, swe, 'påstod Jones att han hade kostnadsberäknat sitt egna förslag'). + +tree(s_185_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])])). +sent(s_185_3_h, eng, 'Jones claimed he had costed his own proposal'). +sent(s_185_3_h, original, 'Jones claimed he had costed his own proposal'). +sent(s_185_3_h, swe, 'Jones påstod att han hade kostnadsberäknat sitt egna förslag'). + +tree(s_186_1_p, s_185_1_p). +sent(s_186_1_p, eng, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_186_1_p, original, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_186_1_p, swe, 'Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också'). + +tree(s_186_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])])). +sent(s_186_2_q, eng, 'did Jones claim he had costed Smith\'s proposal'). +sent(s_186_2_q, original, 'did Jones claim he had costed Smith\'s proposal'). +sent(s_186_2_q, swe, 'påstod Jones att han hade kostnadsberäknat Smiths förslag'). + +tree(s_186_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])). +sent(s_186_3_h, eng, 'Jones claimed he had costed Smith\'s proposal'). +sent(s_186_3_h, original, 'Jones claimed he had costed Smith\'s proposal'). +sent(s_186_3_h, swe, 'Jones påstod att han hade kostnadsberäknat Smiths förslag'). + +tree(s_187_1_p, s_185_1_p). +sent(s_187_1_p, eng, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_187_1_p, original, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_187_1_p, swe, 'Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också'). + +tree(s_187_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])])). +sent(s_187_2_q, eng, 'did Jones claim Smith had costed Smith\'s proposal'). +sent(s_187_2_q, original, 'did Jones claim Smith had costed Smith\'s proposal'). +sent(s_187_2_q, swe, 'påstod Jones att Smith hade kostnadsberäknat Smiths förslag'). + +tree(s_187_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(smith_PN, [])])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])). +sent(s_187_3_h, eng, 'Jones claimed Smith had costed Smith\'s proposal'). +sent(s_187_3_h, original, 'Jones claimed Smith had costed Smith\'s proposal'). +sent(s_187_3_h, swe, 'Jones påstod att Smith hade kostnadsberäknat Smiths förslag'). + +tree(s_188_1_p, s_185_1_p). +sent(s_188_1_p, eng, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_188_1_p, original, 'Smith claimed he had costed his proposal and so did Jones'). +sent(s_188_1_p, swe, 'Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också'). + +tree(s_188_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])])). +sent(s_188_2_q, eng, 'did Jones claim Smith had costed Jones\' proposal'). +sent(s_188_2_q, original, 'did Jones claim Smith had costed Jones\' proposal'). +sent(s_188_2_q, swe, 'påstod Jones att Smith hade kostnadsberäknat Jones förslag'). + +tree(s_188_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVSa', [t(claim_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(cost_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(proposal_N, [])])])])])])])])])])). +sent(s_188_3_h, eng, 'Jones claimed Smith had costed Jones\' proposal'). +sent(s_188_3_h, original, 'Jones claimed Smith had costed Jones\' proposal'). +sent(s_188_3_h, swe, 'Jones påstod att Smith hade kostnadsberäknat Jones förslag'). + +tree(s_189_1_p, t('Sentence', [t('ConjS2', [t(and_Conj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(man_N, [])])])])])]), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(woman_N, [])])])])])])])])). +sent(s_189_1_p, eng, 'John is a man and Mary is a woman'). +sent(s_189_1_p, original, 'John is a man and Mary is a woman'). +sent(s_189_1_p, swe, 'John är en man och Mary är en kvinna'). + +tree(s_189_2_p, t('Sentence', [t('ConjS2', [t(and_Conj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])]), t('UseCl', [t('Present', []), t('PPos', []), t('SoDoI', [t('UsePN', [t(mary_PN, [])])])])])])). +sent(s_189_2_p, eng, 'John represents his company and so does Mary'). +sent(s_189_2_p, original, 'John represents his company and so does Mary'). +sent(s_189_2_p, swe, 'John representerar sitt företag och det gör Mary också'). + +tree(s_189_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(sheRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(company_N, [])])])])])])])])])). +sent(s_189_3_q, eng, 'does Mary represent her own company'). +sent(s_189_3_q, original, 'does Mary represent her own company'). +sent(s_189_3_q, swe, 'representerar Mary sitt egna företag'). + +tree(s_189_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(sheRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(company_N, [])])])])])])])])). +sent(s_189_4_h, eng, 'Mary represents her own company'). +sent(s_189_4_h, original, 'Mary represents her own company'). +sent(s_189_4_h, swe, 'Mary representerar sitt egna företag'). + +tree(s_190_1_p, s_189_1_p). +sent(s_190_1_p, eng, 'John is a man and Mary is a woman'). +sent(s_190_1_p, original, 'John is a man and Mary is a woman'). +sent(s_190_1_p, swe, 'John är en man och Mary är en kvinna'). + +tree(s_190_2_p, s_189_2_p). +sent(s_190_2_p, eng, 'John represents his company and so does Mary'). +sent(s_190_2_p, original, 'John represents his company and so does Mary'). +sent(s_190_2_p, swe, 'John representerar sitt företag och det gör Mary också'). + +tree(s_190_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(john_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])])). +sent(s_190_3_q, eng, 'does Mary represent John\'s company'). +sent(s_190_3_q, original, 'does Mary represent John\'s company'). +sent(s_190_3_q, swe, 'representerar Mary Johns företag'). + +tree(s_190_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mary_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(represent_V2, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(john_PN, [])])]), t('NumSg', [])]), t('UseN', [t(company_N, [])])])])])])])). +sent(s_190_4_h, eng, 'Mary represents John\'s company'). +sent(s_190_4_h, original, 'Mary represents John\'s company'). +sent(s_190_4_h, swe, 'Mary representerar Johns företag'). + +tree(s_191_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(bill_PN, [])]), t('ComplSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])]), t(together_Adv, [])])])])])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(carl_PN, [])]), t('AdvVP', [t(elliptic_VP, []), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])])])])])])])). +sent(s_191_1_p, eng, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_191_1_p, original, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_191_1_p, swe, 'Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru'). + +tree(s_191_2_q, t('Question', [t('ExtAdvQS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('UsePN', [t(frank_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('UsePN', [t(alan_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])])). +sent(s_191_2_q, eng, 'if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan should go together'). +sent(s_191_2_q, original, 'if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan should go together'). + +tree(s_191_3_h, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('UsePN', [t(frank_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('UsePN', [t(alan_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])). +sent(s_191_3_h, eng, 'if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan should go together'). +sent(s_191_3_h, original, 'if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan should go together'). + +tree(s_192_1_p, s_191_1_p). +sent(s_192_1_p, eng, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_192_1_p, original, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_192_1_p, swe, 'Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru'). + +tree(s_192_2_q, t('Question', [t('ExtAdvQS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('UsePN', [t(frank_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])])). +sent(s_192_2_q, eng, 'if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan\'s wife should go together'). +sent(s_192_2_q, original, 'if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan\'s wife should go together'). + +tree(s_192_3_h, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('UsePN', [t(frank_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])). +sent(s_192_3_h, eng, 'if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan\'s wife should go together'). +sent(s_192_3_h, original, 'if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan\'s wife should go together'). + +tree(s_193_1_p, s_191_1_p). +sent(s_193_1_p, eng, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_193_1_p, original, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_193_1_p, swe, 'Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru'). + +tree(s_193_2_q, t('Question', [t('ExtAdvQS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])])). +sent(s_193_2_q, eng, 'if it was suggested that Bill and Frank\'s boss should go together , was it suggested that Carl and Alan\'s wife should go together'). +sent(s_193_2_q, original, 'if it was suggested that Bill and Frank\'s boss should go together , was it suggested that Carl and Alan\'s wife should go together'). + +tree(s_193_3_h, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])). +sent(s_193_3_h, eng, 'if it was suggested that Bill and Frank\'s boss should go together , it was suggested that Carl and Alan\'s wife should go together'). +sent(s_193_3_h, original, 'if it was suggested that Bill and Frank\'s boss should go together , it was suggested that Carl and Alan\'s wife should go together'). + +tree(s_194_1_p, s_191_1_p). +sent(s_194_1_p, eng, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_194_1_p, original, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_194_1_p, swe, 'Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru'). + +tree(s_194_2_q, t('Question', [t('ExtAdvQS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('UsePN', [t(alan_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])])). +sent(s_194_2_q, eng, 'if it was suggested that Bill and Frank\'s boss should go together , was it suggested that Carl and Alan should go together'). +sent(s_194_2_q, original, 'if it was suggested that Bill and Frank\'s boss should go together , was it suggested that Carl and Alan should go together'). + +tree(s_194_3_h, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('UsePN', [t(alan_PN, [])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])). +sent(s_194_3_h, eng, 'if it was suggested that Bill and Frank\'s boss should go together , it was suggested that Carl and Alan should go together'). +sent(s_194_3_h, original, 'if it was suggested that Bill and Frank\'s boss should go together , it was suggested that Carl and Alan should go together'). + +tree(s_195_1_p, s_191_1_p). +sent(s_195_1_p, eng, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_195_1_p, original, 'Bill suggested to Frank\'s boss that they should go to the meeting together , and Carl [..] to Alan\'s wife'). +sent(s_195_1_p, swe, 'Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru'). + +tree(s_195_2_q, t('Question', [t('ExtAdvQS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('UsePN', [t(frank_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('UsePN', [t(alan_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])])). +sent(s_195_2_q, eng, 'if it was suggested that Bill , Frank and Frank\'s boss should go together , was it suggested that Carl , Alan and Alan\'s wife should go together'). +sent(s_195_2_q, original, 'if it was suggested that Bill , Frank and Frank\'s boss should go together , was it suggested that Carl , Alan and Alan\'s wife should go together'). + +tree(s_195_3_h, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(bill_PN, [])]), t('UsePN', [t(frank_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(frank_PN, [])])]), t('NumSg', [])]), t('UseN', [t(boss_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('PassVPSlash', [t('SlashV2S', [t(suggest_to_V2S, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(carl_PN, [])]), t('UsePN', [t(alan_PN, [])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(alan_PN, [])])]), t('NumSg', [])]), t('UseN', [t(wife_N, [])])])]), t('ComplVV', [t(shall_VV, []), t('AdvVP', [t('UseV', [t(go8walk_V, [])]), t(together_Adv, [])])])])])])])])])])])). +sent(s_195_3_h, eng, 'if it was suggested that Bill , Frank and Frank\'s boss should go together , it was suggested that Carl , Alan and Alan\'s wife should go together'). +sent(s_195_3_h, original, 'if it was suggested that Bill , Frank and Frank\'s boss should go together , it was suggested that Carl , Alan and Alan\'s wife should go together'). + +tree(s_196_1_p, t('Sentence', [t('ConjS2', [t(comma_and_Conj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(lawyer_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t(every_Det, []), t('UseN', [t(report_N, [])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('SoDoI', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(auditor_N, [])])])])])])])). +sent(s_196_1_p, eng, 'a lawyer signed every report , and so did an auditor'). +sent(s_196_1_p, original, 'a lawyer signed every report , and so did an auditor'). +sent(s_196_1_p, swe, 'en jurist undertecknade varje rapport , och det gjorde en revisor också'). + +tree(s_196_2_p, t('PSentence', [t(that_is_PConj, []), t('UseCl', [t('Past', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('RelCN', [t('UseN', [t(lawyer_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])). +sent(s_196_2_p, eng, 'that is , there was one lawyer who signed all the reports'). +sent(s_196_2_p, original, 'that is , there was one lawyer who signed all the reports'). +sent(s_196_2_p, swe, 'det vill säga , det fanns en jurist som undertecknade alla rapporterna'). + +tree(s_196_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('RelCN', [t('UseN', [t(auditor_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])])). +sent(s_196_3_q, eng, 'was there one auditor who signed all the reports'). +sent(s_196_3_q, original, 'was there one auditor who signed all the reports'). +sent(s_196_3_q, swe, 'fanns det en revisor som undertecknade alla rapporterna'). + +tree(s_196_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_one', [])])])]), t('RelCN', [t('UseN', [t(auditor_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])). +sent(s_196_4_h, eng, 'there was one auditor who signed all the reports'). +sent(s_196_4_h, original, 'there was one auditor who signed all the reports'). +sent(s_196_4_h, swe, 'det fanns en revisor som undertecknade alla rapporterna'). + +tree(s_197_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(genuine_A, [])]), t('UseN', [t(diamond_N, [])])])])])])])])). +sent(s_197_1_p, eng, 'John has a genuine diamond'). +sent(s_197_1_p, original, 'John has a genuine diamond'). +sent(s_197_1_p, swe, 'John har en äkta diamant'). + +tree(s_197_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(diamond_N, [])])])])])])])])). +sent(s_197_2_q, eng, 'does John have a diamond'). +sent(s_197_2_q, original, 'does John have a diamond'). +sent(s_197_2_q, swe, 'har John en diamant'). + +tree(s_197_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(diamond_N, [])])])])])])])). +sent(s_197_3_h, eng, 'John has a diamond'). +sent(s_197_3_h, original, 'John has a diamond'). +sent(s_197_3_h, swe, 'John har en diamant'). + +tree(s_198_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(former_A, [])]), t('UseN', [t(university_student_N, [])])])])])])])])). +sent(s_198_1_p, eng, 'John is a former university student'). +sent(s_198_1_p, original, 'John is a former university student'). +sent(s_198_1_p, swe, 'John är en före detta universitetsstudent'). + +tree(s_198_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(university_student_N, [])])])])])])])])). +sent(s_198_2_q, eng, 'is John a university student'). +sent(s_198_2_q, original, 'is John a university student'). +sent(s_198_2_q, swe, 'är John en universitetsstudent'). + +tree(s_198_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('UseN', [t(university_student_N, [])])])])])])])). +sent(s_198_3_h, eng, 'John is a university student'). +sent(s_198_3_h, original, 'John is a university student'). +sent(s_198_3_h, swe, 'John är en universitetsstudent'). + +tree(s_199_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(successful_A, [])]), t('AdjCN', [t('PositA', [t(former_A, [])]), t('UseN', [t(university_student_N, [])])])])])])])])])). +sent(s_199_1_p, eng, 'John is a successful former university student'). +sent(s_199_1_p, original, 'John is a successful former university student'). +sent(s_199_1_p, swe, 'John är en framgångsrik före detta universitetsstudent'). + +tree(s_199_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(successful_A, [])])])])])])])])). +sent(s_199_2_q, eng, 'is John successful'). +sent(s_199_2_q, original, 'is John successful'). +sent(s_199_2_q, swe, 'är John framgångsrik'). + +tree(s_199_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(successful_A, [])])])])])])])). +sent(s_199_3_h, eng, 'John is successful'). +sent(s_199_3_h, original, 'John is successful'). +sent(s_199_3_h, swe, 'John är framgångsrik'). + +tree(s_200_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(former_A, [])]), t('AdjCN', [t('PositA', [t(successful_A, [])]), t('UseN', [t(university_student_N, [])])])])])])])])])). +sent(s_200_1_p, eng, 'John is a former successful university student'). +sent(s_200_1_p, original, 'John is a former successful university student'). +sent(s_200_1_p, swe, 'John är en före detta framgångsrik universitetsstudent'). + +tree(s_200_2_q, s_199_2_q). +sent(s_200_2_q, eng, 'is John successful'). +sent(s_200_2_q, original, 'is John successful'). +sent(s_200_2_q, swe, 'är John framgångsrik'). + +tree(s_200_3_h, s_199_3_h). +sent(s_200_3_h, eng, 'John is successful'). +sent(s_200_3_h, original, 'John is successful'). +sent(s_200_3_h, swe, 'John är framgångsrik'). + +tree(s_201_1_p, s_200_1_p). +sent(s_201_1_p, eng, 'John is a former successful university student'). +sent(s_201_1_p, original, 'John is a former successful university student'). +sent(s_201_1_p, swe, 'John är en före detta framgångsrik universitetsstudent'). + +tree(s_201_2_q, s_198_2_q). +sent(s_201_2_q, eng, 'is John a university student'). +sent(s_201_2_q, original, 'is John a university student'). +sent(s_201_2_q, swe, 'är John en universitetsstudent'). + +tree(s_201_3_h, s_198_3_h). +sent(s_201_3_h, eng, 'John is a university student'). +sent(s_201_3_h, original, 'John is a university student'). +sent(s_201_3_h, swe, 'John är en universitetsstudent'). + +tree(s_202_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(mammal_N, [])])]), t('UseComp', [t('CompCN', [t('UseN', [t(animal_N, [])])])])])])])). +sent(s_202_1_p, eng, 'every mammal is an animal'). +sent(s_202_1_p, original, 'every mammal is an animal'). +sent(s_202_1_p, swe, 'varje däggdjur är ett djur'). + +tree(s_202_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(fourlegged_A, [])]), t('UseN', [t(mammal_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(fourlegged_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])])). +sent(s_202_2_q, eng, 'is every four-legged mammal a four-legged animal'). +sent(s_202_2_q, original, 'is every four-legged mammal a four-legged animal'). +sent(s_202_2_q, swe, 'är varje fyrbent däggdjur ett fyrbent djur'). + +tree(s_202_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('AdjCN', [t('PositA', [t(fourlegged_A, [])]), t('UseN', [t(mammal_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(fourlegged_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_202_3_h, eng, 'every four-legged mammal is a four-legged animal'). +sent(s_202_3_h, original, 'every four-legged mammal is a four-legged animal'). +sent(s_202_3_h, swe, 'varje fyrbent däggdjur är ett fyrbent djur'). + +tree(s_203_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(fourlegged_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_203_1_p, eng, 'Dumbo is a four-legged animal'). +sent(s_203_1_p, original, 'Dumbo is a four-legged animal'). +sent(s_203_1_p, swe, 'Dumbo är ett fyrbent djur'). + +tree(s_203_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(fourlegged_A, [])])])])])])])])). +sent(s_203_2_q, eng, 'is Dumbo four-legged'). +sent(s_203_2_q, original, 'is Dumbo four-legged'). +sent(s_203_2_q, swe, 'är Dumbo fyrbent'). + +tree(s_203_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(fourlegged_A, [])])])])])])])). +sent(s_203_3_h, eng, 'Dumbo is four-legged'). +sent(s_203_3_h, original, 'Dumbo is four-legged'). +sent(s_203_3_h, swe, 'Dumbo är fyrbent'). + +tree(s_204_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_204_1_p, eng, 'Mickey is a small animal'). +sent(s_204_1_p, original, 'Mickey is a small animal'). +sent(s_204_1_p, swe, 'Mickey är ett litet djur'). + +tree(s_204_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])])). +sent(s_204_2_q, eng, 'is Mickey a large animal'). +sent(s_204_2_q, original, 'is Mickey a large animal'). +sent(s_204_2_q, swe, 'är Mickey ett stort djur'). + +tree(s_204_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_204_3_h, eng, 'Mickey is a large animal'). +sent(s_204_3_h, original, 'Mickey is a large animal'). +sent(s_204_3_h, swe, 'Mickey är ett stort djur'). + +tree(s_205_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_205_1_p, eng, 'Dumbo is a large animal'). +sent(s_205_1_p, original, 'Dumbo is a large animal'). +sent(s_205_1_p, swe, 'Dumbo är ett stort djur'). + +tree(s_205_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])])). +sent(s_205_2_q, eng, 'is Dumbo a small animal'). +sent(s_205_2_q, original, 'is Dumbo a small animal'). +sent(s_205_2_q, swe, 'är Dumbo ett litet djur'). + +tree(s_205_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_205_3_h, eng, 'Dumbo is a small animal'). +sent(s_205_3_h, original, 'Dumbo is a small animal'). +sent(s_205_3_h, swe, 'Dumbo är ett litet djur'). + +tree(s_206_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('UncNeg', []), t('PredVP', [t('UsePN', [t(fido_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_206_1_p, eng, 'Fido is not a small animal'). +sent(s_206_1_p, original, 'Fido is not a small animal'). +sent(s_206_1_p, swe, 'Fido är inte ett litet djur'). + +tree(s_206_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(fido_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])])). +sent(s_206_2_q, eng, 'is Fido a large animal'). +sent(s_206_2_q, original, 'is Fido a large animal'). +sent(s_206_2_q, swe, 'är Fido ett stort djur'). + +tree(s_206_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(fido_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_206_3_h, eng, 'Fido is a large animal'). +sent(s_206_3_h, original, 'Fido is a large animal'). +sent(s_206_3_h, swe, 'Fido är ett stort djur'). + +tree(s_207_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('UncNeg', []), t('PredVP', [t('UsePN', [t(fido_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_207_1_p, eng, 'Fido is not a large animal'). +sent(s_207_1_p, original, 'Fido is not a large animal'). +sent(s_207_1_p, swe, 'Fido är inte ett stort djur'). + +tree(s_207_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(fido_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])])). +sent(s_207_2_q, eng, 'is Fido a small animal'). +sent(s_207_2_q, original, 'is Fido a small animal'). +sent(s_207_2_q, swe, 'är Fido ett litet djur'). + +tree(s_207_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(fido_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_207_3_h, eng, 'Fido is a small animal'). +sent(s_207_3_h, original, 'Fido is a small animal'). +sent(s_207_3_h, swe, 'Fido är ett litet djur'). + +tree(s_208_1_p, s_204_1_p). +sent(s_208_1_p, eng, 'Mickey is a small animal'). +sent(s_208_1_p, original, 'Mickey is a small animal'). +sent(s_208_1_p, swe, 'Mickey är ett litet djur'). + +tree(s_208_2_p, s_205_1_p). +sent(s_208_2_p, eng, 'Dumbo is a large animal'). +sent(s_208_2_p, original, 'Dumbo is a large animal'). +sent(s_208_2_p, swe, 'Dumbo är ett stort djur'). + +tree(s_208_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(small_A, []), t('UsePN', [t(dumbo_PN, [])])])])])])])])])). +sent(s_208_3_q, eng, 'is Mickey smaller than Dumbo'). +sent(s_208_3_q, original, 'is Mickey smaller than Dumbo'). +sent(s_208_3_q, swe, 'är Mickey mindre än Dumbo'). + +tree(s_208_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(small_A, []), t('UsePN', [t(dumbo_PN, [])])])])])])])])). +sent(s_208_4_h, eng, 'Mickey is smaller than Dumbo'). +sent(s_208_4_h, original, 'Mickey is smaller than Dumbo'). +sent(s_208_4_h, swe, 'Mickey är mindre än Dumbo'). + +tree(s_209_1_p, s_204_1_p). +sent(s_209_1_p, eng, 'Mickey is a small animal'). +sent(s_209_1_p, original, 'Mickey is a small animal'). +sent(s_209_1_p, swe, 'Mickey är ett litet djur'). + +tree(s_209_2_p, s_205_1_p). +sent(s_209_2_p, eng, 'Dumbo is a large animal'). +sent(s_209_2_p, original, 'Dumbo is a large animal'). +sent(s_209_2_p, swe, 'Dumbo är ett stort djur'). + +tree(s_209_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(large_A, []), t('UsePN', [t(dumbo_PN, [])])])])])])])])])). +sent(s_209_3_q, eng, 'is Mickey larger than Dumbo'). +sent(s_209_3_q, original, 'is Mickey larger than Dumbo'). +sent(s_209_3_q, swe, 'är Mickey större än Dumbo'). + +tree(s_209_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(large_A, []), t('UsePN', [t(dumbo_PN, [])])])])])])])])). +sent(s_209_4_h, eng, 'Mickey is larger than Dumbo'). +sent(s_209_4_h, original, 'Mickey is larger than Dumbo'). +sent(s_209_4_h, swe, 'Mickey är större än Dumbo'). + +tree(s_210_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(mouse_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_210_1_p, eng, 'all mice are small animals'). +sent(s_210_1_p, original, 'all mice are small animals'). +sent(s_210_1_p, swe, 'alla möss är små djur'). + +tree(s_210_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(mouse_N, [])])])])])])])])). +sent(s_210_2_p, eng, 'Mickey is a large mouse'). +sent(s_210_2_p, original, 'Mickey is a large mouse'). +sent(s_210_2_p, swe, 'Mickey är en stor mus'). + +tree(s_210_3_q, s_204_2_q). +sent(s_210_3_q, eng, 'is Mickey a large animal'). +sent(s_210_3_q, original, 'is Mickey a large animal'). +sent(s_210_3_q, swe, 'är Mickey ett stort djur'). + +tree(s_210_4_h, s_204_3_h). +sent(s_210_4_h, eng, 'Mickey is a large animal'). +sent(s_210_4_h, original, 'Mickey is a large animal'). +sent(s_210_4_h, swe, 'Mickey är ett stort djur'). + +tree(s_211_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(elephant_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(large_A, [])]), t('UseN', [t(animal_N, [])])])])])])])])). +sent(s_211_1_p, eng, 'all elephants are large animals'). +sent(s_211_1_p, original, 'all elephants are large animals'). +sent(s_211_1_p, swe, 'alla elefanter är stora djur'). + +tree(s_211_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(small_A, [])]), t('UseN', [t(elephant_N, [])])])])])])])])). +sent(s_211_2_p, eng, 'Dumbo is a small elephant'). +sent(s_211_2_p, original, 'Dumbo is a small elephant'). +sent(s_211_2_p, swe, 'Dumbo är en liten elefant'). + +tree(s_211_3_q, s_205_2_q). +sent(s_211_3_q, eng, 'is Dumbo a small animal'). +sent(s_211_3_q, original, 'is Dumbo a small animal'). +sent(s_211_3_q, swe, 'är Dumbo ett litet djur'). + +tree(s_211_4_h, s_205_3_h). +sent(s_211_4_h, eng, 'Dumbo is a small animal'). +sent(s_211_4_h, original, 'Dumbo is a small animal'). +sent(s_211_4_h, swe, 'Dumbo är ett litet djur'). + +tree(s_212_1_p, s_210_1_p). +sent(s_212_1_p, eng, 'all mice are small animals'). +sent(s_212_1_p, original, 'all mice are small animals'). +sent(s_212_1_p, swe, 'alla möss är små djur'). + +tree(s_212_2_p, s_211_1_p). +sent(s_212_2_p, eng, 'all elephants are large animals'). +sent(s_212_2_p, original, 'all elephants are large animals'). +sent(s_212_2_p, swe, 'alla elefanter är stora djur'). + +tree(s_212_3_p, s_210_2_p). +sent(s_212_3_p, eng, 'Mickey is a large mouse'). +sent(s_212_3_p, original, 'Mickey is a large mouse'). +sent(s_212_3_p, swe, 'Mickey är en stor mus'). + +tree(s_212_4_p, s_211_2_p). +sent(s_212_4_p, eng, 'Dumbo is a small elephant'). +sent(s_212_4_p, original, 'Dumbo is a small elephant'). +sent(s_212_4_p, swe, 'Dumbo är en liten elefant'). + +tree(s_212_5_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(large_A, []), t('UsePN', [t(mickey_PN, [])])])])])])])])])). +sent(s_212_5_q, eng, 'is Dumbo larger than Mickey'). +sent(s_212_5_q, original, 'is Dumbo larger than Mickey'). +sent(s_212_5_q, swe, 'är Dumbo större än Mickey'). + +tree(s_212_6_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(dumbo_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(large_A, []), t('UsePN', [t(mickey_PN, [])])])])])])])])). +sent(s_212_6_h, eng, 'Dumbo is larger than Mickey'). +sent(s_212_6_h, original, 'Dumbo is larger than Mickey'). +sent(s_212_6_h, swe, 'Dumbo är större än Mickey'). + +tree(s_213_1_p, s_210_1_p). +sent(s_213_1_p, eng, 'all mice are small animals'). +sent(s_213_1_p, original, 'all mice are small animals'). +sent(s_213_1_p, swe, 'alla möss är små djur'). + +tree(s_213_2_p, s_210_2_p). +sent(s_213_2_p, eng, 'Mickey is a large mouse'). +sent(s_213_2_p, original, 'Mickey is a large mouse'). +sent(s_213_2_p, swe, 'Mickey är en stor mus'). + +tree(s_213_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(small_A, [])])])])])])])])). +sent(s_213_3_q, eng, 'is Mickey small'). +sent(s_213_3_q, original, 'is Mickey small'). +sent(s_213_3_q, swe, 'är Mickey liten'). + +tree(s_213_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(mickey_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(small_A, [])])])])])])])). +sent(s_213_4_h, eng, 'Mickey is small'). +sent(s_213_4_h, original, 'Mickey is small'). +sent(s_213_4_h, swe, 'Mickey är liten'). + +tree(s_214_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(legal_A, [])]), t('UseN', [t(authority_N, [])])])])]), t('UseComp', [t('CompCN', [t('UseN', [t(law_lecturer_N, [])])])])])])])). +sent(s_214_1_p, eng, 'all legal authorities are law lecturers'). +sent(s_214_1_p, original, 'all legal authorities are law lecturers'). +sent(s_214_1_p, swe, 'alla juridiska fackmän är juridiklärare'). + +tree(s_214_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(law_lecturer_N, [])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(legal_A, [])]), t('UseN', [t(authority_N, [])])])])])])])])). +sent(s_214_2_p, eng, 'all law lecturers are legal authorities'). +sent(s_214_2_p, original, 'all law lecturers are legal authorities'). +sent(s_214_2_p, swe, 'alla juridiklärare är juridiska fackmän'). + +tree(s_214_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(fat_A, [])]), t('AdjCN', [t('PositA', [t(legal_A, [])]), t('UseN', [t(authority_N, [])])])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(fat_A, [])]), t('UseN', [t(law_lecturer_N, [])])])])])])])])])). +sent(s_214_3_q, eng, 'are all fat legal authorities fat law lecturers'). +sent(s_214_3_q, original, 'are all fat legal authorities fat law lecturers'). +sent(s_214_3_q, swe, 'är alla feta juridiska fackmän feta juridiklärare'). + +tree(s_214_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(fat_A, [])]), t('AdjCN', [t('PositA', [t(legal_A, [])]), t('UseN', [t(authority_N, [])])])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(fat_A, [])]), t('UseN', [t(law_lecturer_N, [])])])])])])])])). +sent(s_214_4_h, eng, 'all fat legal authorities are fat law lecturers'). +sent(s_214_4_h, original, 'all fat legal authorities are fat law lecturers'). +sent(s_214_4_h, swe, 'alla feta juridiska fackmän är feta juridiklärare'). + +tree(s_215_1_p, s_214_1_p). +sent(s_215_1_p, eng, 'all legal authorities are law lecturers'). +sent(s_215_1_p, original, 'all legal authorities are law lecturers'). +sent(s_215_1_p, swe, 'alla juridiska fackmän är juridiklärare'). + +tree(s_215_2_p, s_214_2_p). +sent(s_215_2_p, eng, 'all law lecturers are legal authorities'). +sent(s_215_2_p, original, 'all law lecturers are legal authorities'). +sent(s_215_2_p, swe, 'alla juridiklärare är juridiska fackmän'). + +tree(s_215_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(competent_A, [])]), t('AdjCN', [t('PositA', [t(legal_A, [])]), t('UseN', [t(authority_N, [])])])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(competent_A, [])]), t('UseN', [t(law_lecturer_N, [])])])])])])])])])). +sent(s_215_3_q, eng, 'are all competent legal authorities competent law lecturers'). +sent(s_215_3_q, original, 'are all competent legal authorities competent law lecturers'). +sent(s_215_3_q, swe, 'är alla kompetenta juridiska fackmän kompetenta juridiklärare'). + +tree(s_215_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('PredetNP', [t(all_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(competent_A, [])]), t('AdjCN', [t('PositA', [t(legal_A, [])]), t('UseN', [t(authority_N, [])])])])])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(competent_A, [])]), t('UseN', [t(law_lecturer_N, [])])])])])])])])). +sent(s_215_4_h, eng, 'all competent legal authorities are competent law lecturers'). +sent(s_215_4_h, original, 'all competent legal authorities are competent law lecturers'). +sent(s_215_4_h, swe, 'alla kompetenta juridiska fackmän är kompetenta juridiklärare'). + +tree(s_216_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(fat_A, [])]), t('UseN', [t(politician_N, [])])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(bill_PN, [])])])])])])])])])). +sent(s_216_1_p, eng, 'John is a fatter politician than Bill'). +sent(s_216_1_p, original, 'John is a fatter politician than Bill'). +sent(s_216_1_p, swe, 'John är en fetare politiker än Bill'). + +tree(s_216_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fat_A, []), t('UsePN', [t(bill_PN, [])])])])])])])])])). +sent(s_216_2_q, eng, 'is John fatter than Bill'). +sent(s_216_2_q, original, 'is John fatter than Bill'). +sent(s_216_2_q, swe, 'är John fetare än Bill'). + +tree(s_216_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fat_A, []), t('UsePN', [t(bill_PN, [])])])])])])])])). +sent(s_216_3_h, eng, 'John is fatter than Bill'). +sent(s_216_3_h, original, 'John is fatter than Bill'). +sent(s_216_3_h, swe, 'John är fetare än Bill'). + +tree(s_217_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompCN', [t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(clever_A, [])]), t('UseN', [t(politician_N, [])])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(bill_PN, [])])])])])])])])])). +sent(s_217_1_p, eng, 'John is a cleverer politician than Bill'). +sent(s_217_1_p, original, 'John is a cleverer politician than Bill'). +sent(s_217_1_p, swe, 'John är en smartare politiker än Bill'). + +tree(s_217_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(clever_A, []), t('UsePN', [t(bill_PN, [])])])])])])])])])). +sent(s_217_2_q, eng, 'is John cleverer than Bill'). +sent(s_217_2_q, original, 'is John cleverer than Bill'). +sent(s_217_2_q, swe, 'är John smartare än Bill'). + +tree(s_217_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(john_PN, [])]), t('UseComp', [t('CompAP', [t('ComparA', [t(clever_A, []), t('UsePN', [t(bill_PN, [])])])])])])])])). +sent(s_217_3_h, eng, 'John is cleverer than Bill'). +sent(s_217_3_h, original, 'John is cleverer than Bill'). +sent(s_217_3_h, swe, 'John är smartare än Bill'). + +tree(s_218_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(kim_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(clever_A, [])]), t('UseN', [t(person_N, [])])])])])])])])). +sent(s_218_1_p, eng, 'Kim is a clever person'). +sent(s_218_1_p, original, 'Kim is a clever person'). +sent(s_218_1_p, swe, 'Kim är en smart människa'). + +tree(s_218_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(kim_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(clever_A, [])])])])])])])])). +sent(s_218_2_q, eng, 'is Kim clever'). +sent(s_218_2_q, original, 'is Kim clever'). +sent(s_218_2_q, swe, 'är Kim smart'). + +tree(s_218_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(kim_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(clever_A, [])])])])])])])). +sent(s_218_3_h, eng, 'Kim is clever'). +sent(s_218_3_h, original, 'Kim is clever'). +sent(s_218_3_h, swe, 'Kim är smart'). + +tree(s_219_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(kim_PN, [])]), t('UseComp', [t('CompCN', [t('AdjCN', [t('PositA', [t(clever_A, [])]), t('UseN', [t(politician_N, [])])])])])])])])). +sent(s_219_1_p, eng, 'Kim is a clever politician'). +sent(s_219_1_p, original, 'Kim is a clever politician'). +sent(s_219_1_p, swe, 'Kim är en smart politiker'). + +tree(s_219_2_q, s_218_2_q). +sent(s_219_2_q, eng, 'is Kim clever'). +sent(s_219_2_q, original, 'is Kim clever'). +sent(s_219_2_q, swe, 'är Kim smart'). + +tree(s_219_3_h, s_218_3_h). +sent(s_219_3_h, eng, 'Kim is clever'). +sent(s_219_3_h, original, 'Kim is clever'). +sent(s_219_3_h, swe, 'Kim är smart'). + +tree(s_220_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])])])])])])])])). +sent(s_220_1_p, eng, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_220_1_p, original, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_220_1_p, swe, 'PC-6082:an är snabbare än ITEL-XZ:an'). + +tree(s_220_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])]), t('UseComp', [t('CompAP', [t('PositA', [t(fast_A, [])])])])])])])). +sent(s_220_2_p, eng, 'the ITEL-XZ is fast'). +sent(s_220_2_p, original, 'the ITEL-XZ is fast'). +sent(s_220_2_p, swe, 'ITEL-XZ:an är snabb'). + +tree(s_220_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('PositA', [t(fast_A, [])])])])])])])])). +sent(s_220_3_q, eng, 'is the PC-6082 fast'). +sent(s_220_3_q, original, 'is the PC-6082 fast'). +sent(s_220_3_q, swe, 'är PC-6082:an snabb'). + +tree(s_220_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('PositA', [t(fast_A, [])])])])])])])). +sent(s_220_4_h, eng, 'the PC-6082 is fast'). +sent(s_220_4_h, original, 'the PC-6082 is fast'). +sent(s_220_4_h, swe, 'PC-6082:an är snabb'). + +tree(s_221_1_p, s_220_1_p). +sent(s_221_1_p, eng, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_221_1_p, original, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_221_1_p, swe, 'PC-6082:an är snabbare än ITEL-XZ:an'). + +tree(s_221_2_q, s_220_3_q). +sent(s_221_2_q, eng, 'is the PC-6082 fast'). +sent(s_221_2_q, original, 'is the PC-6082 fast'). +sent(s_221_2_q, swe, 'är PC-6082:an snabb'). + +tree(s_221_3_h, s_220_4_h). +sent(s_221_3_h, eng, 'the PC-6082 is fast'). +sent(s_221_3_h, original, 'the PC-6082 is fast'). +sent(s_221_3_h, swe, 'PC-6082:an är snabb'). + +tree(s_222_1_p, s_220_1_p). +sent(s_222_1_p, eng, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_222_1_p, original, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_222_1_p, swe, 'PC-6082:an är snabbare än ITEL-XZ:an'). + +tree(s_222_2_p, s_220_4_h). +sent(s_222_2_p, eng, 'the PC-6082 is fast'). +sent(s_222_2_p, original, 'the PC-6082 is fast'). +sent(s_222_2_p, swe, 'PC-6082:an är snabb'). + +tree(s_222_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])]), t('UseComp', [t('CompAP', [t('PositA', [t(fast_A, [])])])])])])])])). +sent(s_222_3_q, eng, 'is the ITEL-XZ fast'). +sent(s_222_3_q, original, 'is the ITEL-XZ fast'). +sent(s_222_3_q, swe, 'är ITEL-XZ:an snabb'). + +tree(s_222_4_h, s_220_2_p). +sent(s_222_4_h, eng, 'the ITEL-XZ is fast'). +sent(s_222_4_h, original, 'the ITEL-XZ is fast'). +sent(s_222_4_h, swe, 'ITEL-XZ:an är snabb'). + +tree(s_223_1_p, s_220_1_p). +sent(s_223_1_p, eng, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_223_1_p, original, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_223_1_p, swe, 'PC-6082:an är snabbare än ITEL-XZ:an'). + +tree(s_223_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('PositA', [t(slow_A, [])])])])])])])). +sent(s_223_2_p, eng, 'the PC-6082 is slow'). +sent(s_223_2_p, original, 'the PC-6082 is slow'). +sent(s_223_2_p, swe, 'PC-6082:an är långsam'). + +tree(s_223_3_q, s_222_3_q). +sent(s_223_3_q, eng, 'is the ITEL-XZ fast'). +sent(s_223_3_q, original, 'is the ITEL-XZ fast'). +sent(s_223_3_q, swe, 'är ITEL-XZ:an snabb'). + +tree(s_223_4_h, s_220_2_p). +sent(s_223_4_h, eng, 'the ITEL-XZ is fast'). +sent(s_223_4_h, original, 'the ITEL-XZ is fast'). +sent(s_223_4_h, swe, 'ITEL-XZ:an är snabb'). + +tree(s_224_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparAsAs', [t(fast_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])])])])])])])])). +sent(s_224_1_p, eng, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_224_1_p, original, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_224_1_p, swe, 'PC-6082:an är lika snabb som ITEL-XZ:an'). + +tree(s_224_2_p, s_220_2_p). +sent(s_224_2_p, eng, 'the ITEL-XZ is fast'). +sent(s_224_2_p, original, 'the ITEL-XZ is fast'). +sent(s_224_2_p, swe, 'ITEL-XZ:an är snabb'). + +tree(s_224_3_q, s_220_3_q). +sent(s_224_3_q, eng, 'is the PC-6082 fast'). +sent(s_224_3_q, original, 'is the PC-6082 fast'). +sent(s_224_3_q, swe, 'är PC-6082:an snabb'). + +tree(s_224_4_h, s_220_4_h). +sent(s_224_4_h, eng, 'the PC-6082 is fast'). +sent(s_224_4_h, original, 'the PC-6082 is fast'). +sent(s_224_4_h, swe, 'PC-6082:an är snabb'). + +tree(s_225_1_p, s_224_1_p). +sent(s_225_1_p, eng, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_225_1_p, original, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_225_1_p, swe, 'PC-6082:an är lika snabb som ITEL-XZ:an'). + +tree(s_225_2_q, s_220_3_q). +sent(s_225_2_q, eng, 'is the PC-6082 fast'). +sent(s_225_2_q, original, 'is the PC-6082 fast'). +sent(s_225_2_q, swe, 'är PC-6082:an snabb'). + +tree(s_225_3_h, s_220_4_h). +sent(s_225_3_h, eng, 'the PC-6082 is fast'). +sent(s_225_3_h, original, 'the PC-6082 is fast'). +sent(s_225_3_h, swe, 'PC-6082:an är snabb'). + +tree(s_226_1_p, s_224_1_p). +sent(s_226_1_p, eng, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_226_1_p, original, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_226_1_p, swe, 'PC-6082:an är lika snabb som ITEL-XZ:an'). + +tree(s_226_2_p, s_220_4_h). +sent(s_226_2_p, eng, 'the PC-6082 is fast'). +sent(s_226_2_p, original, 'the PC-6082 is fast'). +sent(s_226_2_p, swe, 'PC-6082:an är snabb'). + +tree(s_226_3_q, s_222_3_q). +sent(s_226_3_q, eng, 'is the ITEL-XZ fast'). +sent(s_226_3_q, original, 'is the ITEL-XZ fast'). +sent(s_226_3_q, swe, 'är ITEL-XZ:an snabb'). + +tree(s_226_4_h, s_220_2_p). +sent(s_226_4_h, eng, 'the ITEL-XZ is fast'). +sent(s_226_4_h, original, 'the ITEL-XZ is fast'). +sent(s_226_4_h, swe, 'ITEL-XZ:an är snabb'). + +tree(s_227_1_p, s_224_1_p). +sent(s_227_1_p, eng, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_227_1_p, original, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_227_1_p, swe, 'PC-6082:an är lika snabb som ITEL-XZ:an'). + +tree(s_227_2_p, s_223_2_p). +sent(s_227_2_p, eng, 'the PC-6082 is slow'). +sent(s_227_2_p, original, 'the PC-6082 is slow'). +sent(s_227_2_p, swe, 'PC-6082:an är långsam'). + +tree(s_227_3_q, s_222_3_q). +sent(s_227_3_q, eng, 'is the ITEL-XZ fast'). +sent(s_227_3_q, original, 'is the ITEL-XZ fast'). +sent(s_227_3_q, swe, 'är ITEL-XZ:an snabb'). + +tree(s_227_4_h, s_220_2_p). +sent(s_227_4_h, eng, 'the ITEL-XZ is fast'). +sent(s_227_4_h, original, 'the ITEL-XZ is fast'). +sent(s_227_4_h, swe, 'ITEL-XZ:an är snabb'). + +tree(s_228_1_p, s_224_1_p). +sent(s_228_1_p, eng, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_228_1_p, original, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_228_1_p, swe, 'PC-6082:an är lika snabb som ITEL-XZ:an'). + +tree(s_228_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])])])])])])])])])). +sent(s_228_2_q, eng, 'is the PC-6082 faster than the ITEL-XZ'). +sent(s_228_2_q, original, 'is the PC-6082 faster than the ITEL-XZ'). +sent(s_228_2_q, swe, 'är PC-6082:an snabbare än ITEL-XZ:an'). + +tree(s_228_3_h, s_220_1_p). +sent(s_228_3_h, eng, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_228_3_h, original, 'the PC-6082 is faster than the ITEL-XZ'). +sent(s_228_3_h, swe, 'PC-6082:an är snabbare än ITEL-XZ:an'). + +tree(s_229_1_p, s_224_1_p). +sent(s_229_1_p, eng, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_229_1_p, original, 'the PC-6082 is as fast as the ITEL-XZ'). +sent(s_229_1_p, swe, 'PC-6082:an är lika snabb som ITEL-XZ:an'). + +tree(s_229_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(slow_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])])])])])])])])])). +sent(s_229_2_q, eng, 'is the PC-6082 slower than the ITEL-XZ'). +sent(s_229_2_q, original, 'is the PC-6082 slower than the ITEL-XZ'). +sent(s_229_2_q, swe, 'är PC-6082:an långsammare än ITEL-XZ:an'). + +tree(s_229_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(slow_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelxz_N, [])])])])])])])])])). +sent(s_229_3_h, eng, 'the PC-6082 is slower than the ITEL-XZ'). +sent(s_229_3_h, original, 'the PC-6082 is slower than the ITEL-XZ'). +sent(s_229_3_h, swe, 'PC-6082:an är långsammare än ITEL-XZ:an'). + +tree(s_230_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(many_A, [])]), t('UseN', [t(order_N, [])])]), t('SubjS', [t(than_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])])])). +sent(s_230_1_p, eng, 'ITEL won more orders than APCOM did [..]'). +sent(s_230_1_p, original, 'ITEL won more orders than APCOM did [..]'). +sent(s_230_1_p, swe, 'ITEL vann mer order än APCOM gjorde [..]'). + +tree(s_230_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(order_N, [])])])])])])])])). +sent(s_230_2_q, eng, 'did ITEL win some orders'). +sent(s_230_2_q, original, 'did ITEL win some orders'). +sent(s_230_2_q, swe, 'vann ITEL några order'). + +tree(s_230_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(order_N, [])])])])])])])). +sent(s_230_3_h, eng, 'ITEL won some orders'). +sent(s_230_3_h, original, 'ITEL won some orders'). +sent(s_230_3_h, swe, 'ITEL vann några order'). + +tree(s_231_1_p, s_230_1_p). +sent(s_231_1_p, eng, 'ITEL won more orders than APCOM did [..]'). +sent(s_231_1_p, original, 'ITEL won more orders than APCOM did [..]'). +sent(s_231_1_p, swe, 'ITEL vann mer order än APCOM gjorde [..]'). + +tree(s_231_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(order_N, [])])])])])])])])). +sent(s_231_2_q, eng, 'did APCOM win some orders'). +sent(s_231_2_q, original, 'did APCOM win some orders'). +sent(s_231_2_q, swe, 'vann APCOM några order'). + +tree(s_231_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(order_N, [])])])])])])])). +sent(s_231_3_h, eng, 'APCOM won some orders'). +sent(s_231_3_h, original, 'APCOM won some orders'). +sent(s_231_3_h, swe, 'APCOM vann några order'). + +tree(s_232_1_p, s_230_1_p). +sent(s_232_1_p, eng, 'ITEL won more orders than APCOM did [..]'). +sent(s_232_1_p, original, 'ITEL won more orders than APCOM did [..]'). +sent(s_232_1_p, swe, 'ITEL vann mer order än APCOM gjorde [..]'). + +tree(s_232_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(order_N, [])])])])])])])). +sent(s_232_2_p, eng, 'APCOM won ten orders'). +sent(s_232_2_p, original, 'APCOM won ten orders'). +sent(s_232_2_p, swe, 'APCOM vann tio order'). + +tree(s_232_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_eleven', [])])])]), t('UseN', [t(order_N, [])])])])])])])])])). +sent(s_232_3_q, eng, 'did ITEL win at least eleven orders'). +sent(s_232_3_q, original, 'did ITEL win at least eleven orders'). +sent(s_232_3_q, swe, 'vann ITEL minst elva order'). + +tree(s_232_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('PredetNP', [t(at_least_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_eleven', [])])])]), t('UseN', [t(order_N, [])])])])])])])])). +sent(s_232_4_h, eng, 'ITEL won at least eleven orders'). +sent(s_232_4_h, original, 'ITEL won at least eleven orders'). +sent(s_232_4_h, swe, 'ITEL vann minst elva order'). + +tree(s_233_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(many_A, [])]), t('UseN', [t(order_N, [])])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(apcom_PN, [])])])])])])])])])). +sent(s_233_1_p, eng, 'ITEL won more orders than APCOM'). +sent(s_233_1_p, original, 'ITEL won more orders than APCOM'). +sent(s_233_1_p, swe, 'ITEL vann mer order än APCOM'). + +tree(s_233_2_q, s_230_2_q). +sent(s_233_2_q, eng, 'did ITEL win some orders'). +sent(s_233_2_q, original, 'did ITEL win some orders'). +sent(s_233_2_q, swe, 'vann ITEL några order'). + +tree(s_233_3_h, s_230_3_h). +sent(s_233_3_h, eng, 'ITEL won some orders'). +sent(s_233_3_h, original, 'ITEL won some orders'). +sent(s_233_3_h, swe, 'ITEL vann några order'). + +tree(s_234_1_p, s_233_1_p). +sent(s_234_1_p, eng, 'ITEL won more orders than APCOM'). +sent(s_234_1_p, original, 'ITEL won more orders than APCOM'). +sent(s_234_1_p, swe, 'ITEL vann mer order än APCOM'). + +tree(s_234_2_q, s_231_2_q). +sent(s_234_2_q, eng, 'did APCOM win some orders'). +sent(s_234_2_q, original, 'did APCOM win some orders'). +sent(s_234_2_q, swe, 'vann APCOM några order'). + +tree(s_234_3_h, s_231_3_h). +sent(s_234_3_h, eng, 'APCOM won some orders'). +sent(s_234_3_h, original, 'APCOM won some orders'). +sent(s_234_3_h, swe, 'APCOM vann några order'). + +tree(s_235_1_p, s_233_1_p). +sent(s_235_1_p, eng, 'ITEL won more orders than APCOM'). +sent(s_235_1_p, original, 'ITEL won more orders than APCOM'). +sent(s_235_1_p, swe, 'ITEL vann mer order än APCOM'). + +tree(s_235_2_p, s_232_2_p). +sent(s_235_2_p, eng, 'APCOM won ten orders'). +sent(s_235_2_p, original, 'APCOM won ten orders'). +sent(s_235_2_p, swe, 'APCOM vann tio order'). + +tree(s_235_3_q, s_232_3_q). +sent(s_235_3_q, eng, 'did ITEL win at least eleven orders'). +sent(s_235_3_q, original, 'did ITEL win at least eleven orders'). +sent(s_235_3_q, swe, 'vann ITEL minst elva order'). + +tree(s_235_4_h, s_232_4_h). +sent(s_235_4_h, eng, 'ITEL won at least eleven orders'). +sent(s_235_4_h, original, 'ITEL won at least eleven orders'). +sent(s_235_4_h, swe, 'ITEL vann minst elva order'). + +tree(s_236_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(many_A, [])]), t('UseN', [t(order_N, [])])]), t('PrepNP', [t(than_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(apcom_contract_N, [])])])])])])])])])])). +sent(s_236_1_p, eng, 'ITEL won more orders than the APCOM contract'). +sent(s_236_1_p, original, 'ITEL won more orders than the APCOM contract'). +sent(s_236_1_p, swe, 'ITEL vann mer order än APCOM-kontraktet'). + +tree(s_236_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(apcom_contract_N, [])])])])])])])])). +sent(s_236_2_q, eng, 'did ITEL win the APCOM contract'). +sent(s_236_2_q, original, 'did ITEL win the APCOM contract'). +sent(s_236_2_q, swe, 'vann ITEL APCOM-kontraktet'). + +tree(s_236_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(apcom_contract_N, [])])])])])])])). +sent(s_236_3_h, eng, 'ITEL won the APCOM contract'). +sent(s_236_3_h, original, 'ITEL won the APCOM contract'). +sent(s_236_3_h, swe, 'ITEL vann APCOM-kontraktet'). + +tree(s_237_1_p, s_236_1_p). +sent(s_237_1_p, eng, 'ITEL won more orders than the APCOM contract'). +sent(s_237_1_p, original, 'ITEL won more orders than the APCOM contract'). +sent(s_237_1_p, swe, 'ITEL vann mer order än APCOM-kontraktet'). + +tree(s_237_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_one', [])])])])]), t('UseN', [t(order_N, [])])])])])])])])). +sent(s_237_2_q, eng, 'did ITEL win more than one order'). +sent(s_237_2_q, original, 'did ITEL win more than one order'). +sent(s_237_2_q, swe, 'vann ITEL mer än en order'). + +tree(s_237_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_one', [])])])])]), t('UseN', [t(order_N, [])])])])])])])). +sent(s_237_3_h, eng, 'ITEL won more than one order'). +sent(s_237_3_h, original, 'ITEL won more than one order'). +sent(s_237_3_h, swe, 'ITEL vann mer än en order'). + +tree(s_238_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t(twice_as_many_Det, []), t('AdvCN', [t('UseN', [t(order_N, [])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(apcom_PN, [])])])])])])])])])). +sent(s_238_1_p, eng, 'ITEL won twice as many orders than APCOM'). +sent(s_238_1_p, original, 'ITEL won twice as many orders than APCOM'). +sent(s_238_1_p, swe, 'ITEL vann dubbelt så många order än APCOM'). + +tree(s_238_2_p, s_232_2_p). +sent(s_238_2_p, eng, 'APCOM won ten orders'). +sent(s_238_2_p, original, 'APCOM won ten orders'). +sent(s_238_2_p, swe, 'APCOM vann tio order'). + +tree(s_238_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_twenty', [])])])]), t('UseN', [t(order_N, [])])])])])])])])). +sent(s_238_3_q, eng, 'did ITEL win twenty orders'). +sent(s_238_3_q, original, 'did ITEL win twenty orders'). +sent(s_238_3_q, swe, 'vann ITEL tjugo order'). + +tree(s_238_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_twenty', [])])])]), t('UseN', [t(order_N, [])])])])])])])). +sent(s_238_4_h, eng, 'ITEL won twenty orders'). +sent(s_238_4_h, original, 'ITEL won twenty orders'). +sent(s_238_4_h, swe, 'ITEL vann tjugo order'). + +tree(s_239_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(many_A, [])]), t('UseN', [t(order_N, [])])]), t('SubjS', [t(than_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t(elliptic_NP_Pl, [])])])])])])])])])])])). +sent(s_239_1_p, eng, 'ITEL won more orders than APCOM lost [..]'). +sent(s_239_1_p, original, 'ITEL won more orders than APCOM lost [..]'). +sent(s_239_1_p, swe, 'ITEL vann mer order än APCOM förlorade [..]'). + +tree(s_239_2_q, s_230_2_q). +sent(s_239_2_q, eng, 'did ITEL win some orders'). +sent(s_239_2_q, original, 'did ITEL win some orders'). +sent(s_239_2_q, swe, 'vann ITEL några order'). + +tree(s_239_3_h, s_230_3_h). +sent(s_239_3_h, eng, 'ITEL won some orders'). +sent(s_239_3_h, original, 'ITEL won some orders'). +sent(s_239_3_h, swe, 'ITEL vann några order'). + +tree(s_240_1_p, s_239_1_p). +sent(s_240_1_p, eng, 'ITEL won more orders than APCOM lost [..]'). +sent(s_240_1_p, original, 'ITEL won more orders than APCOM lost [..]'). +sent(s_240_1_p, swe, 'ITEL vann mer order än APCOM förlorade [..]'). + +tree(s_240_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(order_N, [])])])])])])])])). +sent(s_240_2_q, eng, 'did APCOM lose some orders'). +sent(s_240_2_q, original, 'did APCOM lose some orders'). +sent(s_240_2_q, swe, 'förlorade APCOM några order'). + +tree(s_240_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(order_N, [])])])])])])])). +sent(s_240_3_h, eng, 'APCOM lost some orders'). +sent(s_240_3_h, original, 'APCOM lost some orders'). +sent(s_240_3_h, swe, 'APCOM förlorade några order'). + +tree(s_241_1_p, s_239_1_p). +sent(s_241_1_p, eng, 'ITEL won more orders than APCOM lost [..]'). +sent(s_241_1_p, original, 'ITEL won more orders than APCOM lost [..]'). +sent(s_241_1_p, swe, 'ITEL vann mer order än APCOM förlorade [..]'). + +tree(s_241_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_ten', [])])])]), t('UseN', [t(order_N, [])])])])])])])). +sent(s_241_2_p, eng, 'APCOM lost ten orders'). +sent(s_241_2_p, original, 'APCOM lost ten orders'). +sent(s_241_2_p, swe, 'APCOM förlorade tio order'). + +tree(s_241_3_q, s_232_3_q). +sent(s_241_3_q, eng, 'did ITEL win at least eleven orders'). +sent(s_241_3_q, original, 'did ITEL win at least eleven orders'). +sent(s_241_3_q, swe, 'vann ITEL minst elva order'). + +tree(s_241_4_h, s_232_4_h). +sent(s_241_4_h, eng, 'ITEL won at least eleven orders'). +sent(s_241_4_h, original, 'ITEL won at least eleven orders'). +sent(s_241_4_h, swe, 'ITEL vann minst elva order'). + +tree(s_242_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_500', [])])])]), t('UseN', [t(mips_N, [])])])])])])])])])). +sent(s_242_1_p, eng, 'the PC-6082 is faster than 500 MIPS'). +sent(s_242_1_p, original, 'the PC-6082 is faster than 500 MIPS'). +sent(s_242_1_p, swe, 'PC-6082:an är snabbare än 500 MIPS'). + +tree(s_242_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzx_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(slow_A, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_500', [])])])]), t('UseN', [t(mips_N, [])])])])])])])])])). +sent(s_242_2_p, eng, 'the ITEL-ZX is slower than 500 MIPS'). +sent(s_242_2_p, original, 'the ITEL-ZX is slower than 500 MIPS'). +sent(s_242_2_p, swe, 'ITEL-ZX:an är långsammare än 500 MIPS'). + +tree(s_242_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzx_N, [])])])])])])])])])])). +sent(s_242_3_q, eng, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_242_3_q, original, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_242_3_q, swe, 'är PC-6082:an snabbare än ITEL-ZX:an'). + +tree(s_242_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzx_N, [])])])])])])])])])). +sent(s_242_4_h, eng, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_242_4_h, original, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_242_4_h, swe, 'PC-6082:an är snabbare än ITEL-ZX:an'). + +tree(s_243_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sell_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_3000', [])])])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(many_A, [])]), t('UseN', [t(computer_N, [])])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(apcom_PN, [])])])])])])])])])). +sent(s_243_1_p, eng, 'ITEL sold 3000 more computers than APCOM'). +sent(s_243_1_p, original, 'ITEL sold 3000 more computers than APCOM'). +sent(s_243_1_p, swe, 'ITEL sålde 3000 mer datorer än APCOM'). + +tree(s_243_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sell_V2, [])]), t('PredetNP', [t(exactly_Predet, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_2500', [])])])]), t('UseN', [t(computer_N, [])])])])])])])])). +sent(s_243_2_p, eng, 'APCOM sold exactly 2500 computers'). +sent(s_243_2_p, original, 'APCOM sold exactly 2500 computers'). +sent(s_243_2_p, swe, 'APCOM sålde exakt 2500 datorer'). + +tree(s_243_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sell_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_5500', [])])])]), t('UseN', [t(computer_N, [])])])])])])])])). +sent(s_243_3_q, eng, 'did ITEL sell 5500 computers'). +sent(s_243_3_q, original, 'did ITEL sell 5500 computers'). +sent(s_243_3_q, swe, 'sålde ITEL 5500 datorer'). + +tree(s_243_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sell_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_5500', [])])])]), t('UseN', [t(computer_N, [])])])])])])])). +sent(s_243_4_h, eng, 'ITEL sold 5500 computers'). +sent(s_243_4_h, original, 'ITEL sold 5500 computers'). +sent(s_243_4_h, swe, 'ITEL sålde 5500 datorer'). + +tree(s_244_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(important_A, [])]), t('UseN', [t(customer_N, [])])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(itel_PN, [])])])])])])])])])). +sent(s_244_1_p, eng, 'APCOM has a more important customer than ITEL'). +sent(s_244_1_p, original, 'APCOM has a more important customer than ITEL'). +sent(s_244_1_p, swe, 'APCOM har en viktigare kund än ITEL'). + +tree(s_244_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(important_A, [])]), t('UseN', [t(customer_N, [])])]), t('SubjS', [t(than_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('UseComp', [t('CompNP', [t(elliptic_NP_Sg, [])])])])])])])])])])])])])). +sent(s_244_2_q, eng, 'does APCOM have a more important customer than ITEL is [..]'). +sent(s_244_2_q, original, 'does APCOM have a more important customer than ITEL is [..]'). +sent(s_244_2_q, swe, 'har APCOM en viktigare kund än ITEL är [..]'). + +tree(s_244_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('AdjCN', [t('UseComparA_prefix', [t(important_A, [])]), t('UseN', [t(customer_N, [])])]), t('SubjS', [t(than_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('UseComp', [t('CompNP', [t(elliptic_NP_Sg, [])])])])])])])])])])])])). +sent(s_244_3_h, eng, 'APCOM has a more important customer than ITEL is [..]'). +sent(s_244_3_h, original, 'APCOM has a more important customer than ITEL is [..]'). +sent(s_244_3_h, swe, 'APCOM har en viktigare kund än ITEL är [..]'). + +tree(s_245_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('UseComparA_prefix', [t(important_A, [])]), t('UseN', [t(customer_N, [])])])])]), t('PrepNP', [t(than_Prep, []), t('UsePN', [t(itel_PN, [])])])])])])])). +sent(s_245_1_p, eng, 'APCOM has a more important customer than ITEL'). +sent(s_245_1_p, original, 'APCOM has a more important customer than ITEL'). +sent(s_245_1_p, swe, 'APCOM har en viktigare kund än ITEL'). + +tree(s_245_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('UseComparA_prefix', [t(important_A, [])]), t('UseN', [t(customer_N, [])])])])]), t('SubjS', [t(than_Subj, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t(elliptic_VP, [])])])])])])])])])). +sent(s_245_2_q, eng, 'does APCOM have a more important customer than ITEL has [..]'). +sent(s_245_2_q, original, 'does APCOM have a more important customer than ITEL has [..]'). +sent(s_245_2_q, swe, 'har APCOM en viktigare kund än ITEL har [..]'). + +tree(s_245_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('UseComparA_prefix', [t(important_A, [])]), t('UseN', [t(customer_N, [])])])])]), t('SubjS', [t(than_Subj, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t(elliptic_VP, [])])])])])])])])). +sent(s_245_3_h, eng, 'APCOM has a more important customer than ITEL has [..]'). +sent(s_245_3_h, original, 'APCOM has a more important customer than ITEL has [..]'). +sent(s_245_3_h, swe, 'APCOM har en viktigare kund än ITEL har [..]'). + +tree(s_246_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t(every_Det, []), t('UseN', [t(itel_computer_N, [])])])])])])])])])). +sent(s_246_1_p, eng, 'the PC-6082 is faster than every ITEL computer'). +sent(s_246_1_p, original, 'the PC-6082 is faster than every ITEL computer'). +sent(s_246_1_p, swe, 'PC-6082:an är snabbare än varje ITEL-dator'). + +tree(s_246_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzx_N, [])])]), t('UseComp', [t('CompCN', [t('UseN', [t(itel_computer_N, [])])])])])])])). +sent(s_246_2_p, eng, 'the ITEL-ZX is an ITEL computer'). +sent(s_246_2_p, original, 'the ITEL-ZX is an ITEL computer'). +sent(s_246_2_p, swe, 'ITEL-ZX:an är en ITEL-dator'). + +tree(s_246_3_q, s_242_3_q). +sent(s_246_3_q, eng, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_246_3_q, original, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_246_3_q, swe, 'är PC-6082:an snabbare än ITEL-ZX:an'). + +tree(s_246_4_h, s_242_4_h). +sent(s_246_4_h, eng, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_246_4_h, original, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_246_4_h, swe, 'PC-6082:an är snabbare än ITEL-ZX:an'). + +tree(s_247_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t(someSg_Det, []), t('UseN', [t(itel_computer_N, [])])])])])])])])])). +sent(s_247_1_p, eng, 'the PC-6082 is faster than some ITEL computer'). +sent(s_247_1_p, original, 'the PC-6082 is faster than some ITEL computer'). +sent(s_247_1_p, swe, 'PC-6082:an är snabbare än någon ITEL-dator'). + +tree(s_247_2_p, s_246_2_p). +sent(s_247_2_p, eng, 'the ITEL-ZX is an ITEL computer'). +sent(s_247_2_p, original, 'the ITEL-ZX is an ITEL computer'). +sent(s_247_2_p, swe, 'ITEL-ZX:an är en ITEL-dator'). + +tree(s_247_3_q, s_242_3_q). +sent(s_247_3_q, eng, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_247_3_q, original, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_247_3_q, swe, 'är PC-6082:an snabbare än ITEL-ZX:an'). + +tree(s_247_4_h, s_242_4_h). +sent(s_247_4_h, eng, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_247_4_h, original, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_247_4_h, swe, 'PC-6082:an är snabbare än ITEL-ZX:an'). + +tree(s_248_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('DetCN', [t(anySg_Det, []), t('UseN', [t(itel_computer_N, [])])])])])])])])])). +sent(s_248_1_p, eng, 'the PC-6082 is faster than any ITEL computer'). +sent(s_248_1_p, original, 'the PC-6082 is faster than any ITEL computer'). +sent(s_248_1_p, swe, 'PC-6082:an är snabbare än någon ITEL-dator'). + +tree(s_248_2_p, s_246_2_p). +sent(s_248_2_p, eng, 'the ITEL-ZX is an ITEL computer'). +sent(s_248_2_p, original, 'the ITEL-ZX is an ITEL computer'). +sent(s_248_2_p, swe, 'ITEL-ZX:an är en ITEL-dator'). + +tree(s_248_3_q, s_242_3_q). +sent(s_248_3_q, eng, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_248_3_q, original, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_248_3_q, swe, 'är PC-6082:an snabbare än ITEL-ZX:an'). + +tree(s_248_4_h, s_242_4_h). +sent(s_248_4_h, eng, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_248_4_h, original, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_248_4_h, swe, 'PC-6082:an är snabbare än ITEL-ZX:an'). + +tree(s_249_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('ConjNP2', [t(and_Conj, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzx_N, [])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzy_N, [])])])])])])])])])])). +sent(s_249_1_p, eng, 'the PC-6082 is faster than the ITEL-ZX and the ITEL-ZY'). +sent(s_249_1_p, original, 'the PC-6082 is faster than the ITEL-ZX and the ITEL-ZY'). +sent(s_249_1_p, swe, 'PC-6082:an är snabbare än ITEL-ZX:an och ITEL-ZY:an'). + +tree(s_249_2_q, s_242_3_q). +sent(s_249_2_q, eng, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_249_2_q, original, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_249_2_q, swe, 'är PC-6082:an snabbare än ITEL-ZX:an'). + +tree(s_249_3_h, s_242_4_h). +sent(s_249_3_h, eng, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_249_3_h, original, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_249_3_h, swe, 'PC-6082:an är snabbare än ITEL-ZX:an'). + +tree(s_250_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(pc6082_N, [])])]), t('UseComp', [t('CompAP', [t('ComparA', [t(fast_A, []), t('ConjNP2', [t(or_Conj, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzx_N, [])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(itelzy_N, [])])])])])])])])])])). +sent(s_250_1_p, eng, 'the PC-6082 is faster than the ITEL-ZX or the ITEL-ZY'). +sent(s_250_1_p, original, 'the PC-6082 is faster than the ITEL-ZX or the ITEL-ZY'). +sent(s_250_1_p, swe, 'PC-6082:an är snabbare än ITEL-ZX:an eller ITEL-ZY:an'). + +tree(s_250_2_q, s_242_3_q). +sent(s_250_2_q, eng, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_250_2_q, original, 'is the PC-6082 faster than the ITEL-ZX'). +sent(s_250_2_q, swe, 'är PC-6082:an snabbare än ITEL-ZX:an'). + +tree(s_250_3_h, s_242_4_h). +sent(s_250_3_h, eng, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_250_3_h, original, 'the PC-6082 is faster than the ITEL-ZX'). +sent(s_250_3_h, swe, 'PC-6082:an är snabbare än ITEL-ZX:an'). + +tree(s_251_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(factory_N, [])])])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])])])])). +sent(s_251_1_p, eng, 'ITEL has a factory in Birmingham'). +sent(s_251_1_p, original, 'ITEL has a factory in Birmingham'). +sent(s_251_1_p, swe, 'ITEL har en fabrik i Birmingham'). + +tree(s_251_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdVVP', [t(currently_AdV, []), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(factory_N, [])])])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])])])])])])). +sent(s_251_2_q, eng, 'does ITEL currently have a factory in Birmingham'). +sent(s_251_2_q, original, 'does ITEL currently have a factory in Birmingham'). +sent(s_251_2_q, swe, 'har ITEL för närvarande en fabrik i Birmingham'). + +tree(s_251_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdVVP', [t(currently_AdV, []), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(have_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(factory_N, [])])])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])])])])])). +sent(s_251_3_h, eng, 'ITEL currently has a factory in Birmingham'). +sent(s_251_3_h, original, 'ITEL currently has a factory in Birmingham'). +sent(s_251_3_h, swe, 'ITEL har för närvarande en fabrik i Birmingham'). + +tree(s_252_1_p, t('Sentence', [t('AdvS', [t(since_1992_Adv, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])])])])])])). +sent(s_252_1_p, eng, 'since 1992 ITEL has been in Birmingham'). +sent(s_252_1_p, original, 'since 1992 ITEL has been in Birmingham'). +sent(s_252_1_p, swe, 'sedan 1992 har ITEL varit i Birmingham'). + +tree(s_252_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ImpersCl', [t('AdVVP', [t(now_AdV, []), t('UseComp', [t('CompAdv', [t(year_1996_Adv, [])])])])])])])). +sent(s_252_2_p, eng, 'it is now 1996'). +sent(s_252_2_p, original, 'it is now 1996'). +sent(s_252_2_p, swe, 'det är nu 1996'). + +tree(s_252_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])]), t(in_1993_Adv, [])])])])])])). +sent(s_252_3_q, eng, 'was ITEL in Birmingham in 1993'). +sent(s_252_3_q, original, 'was ITEL in Birmingham in 1993'). +sent(s_252_3_q, swe, 'var ITEL i Birmingham 1993'). + +tree(s_252_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])]), t(in_1993_Adv, [])])])])])). +sent(s_252_4_h, eng, 'ITEL was in Birmingham in 1993'). +sent(s_252_4_h, original, 'ITEL was in Birmingham in 1993'). +sent(s_252_4_h, swe, 'ITEL var i Birmingham 1993'). + +tree(s_253_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(develop_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(editor_N, [])])])])]), t(since_1992_Adv, [])])])])])). +sent(s_253_1_p, eng, 'ITEL has developed a new editor since 1992'). +sent(s_253_1_p, original, 'ITEL has developed a new editor since 1992'). +sent(s_253_1_p, swe, 'ITEL har utvecklat en ny redigerare sedan 1992'). + +tree(s_253_2_p, s_252_2_p). +sent(s_253_2_p, eng, 'it is now 1996'). +sent(s_253_2_p, original, 'it is now 1996'). +sent(s_253_2_p, swe, 'det är nu 1996'). + +tree(s_253_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(develop_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(editor_N, [])])])])]), t(in_1993_Adv, [])])])])])])). +sent(s_253_3_q, eng, 'did ITEL develop a new editor in 1993'). +sent(s_253_3_q, original, 'did ITEL develop a new editor in 1993'). +sent(s_253_3_q, swe, 'utvecklade ITEL en ny redigerare 1993'). + +tree(s_253_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(develop_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(editor_N, [])])])])]), t(in_1993_Adv, [])])])])])). +sent(s_253_4_h, eng, 'ITEL developed a new editor in 1993'). +sent(s_253_4_h, original, 'ITEL developed a new editor in 1993'). +sent(s_253_4_h, swe, 'ITEL utvecklade en ny redigerare 1993'). + +tree(s_254_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseV', [t(expand_V, [])]), t(since_1992_Adv, [])])])])])). +sent(s_254_1_p, eng, 'ITEL has expanded since 1992'). +sent(s_254_1_p, original, 'ITEL has expanded since 1992'). +sent(s_254_1_p, swe, 'ITEL har expanderat sedan 1992'). + +tree(s_254_2_p, s_252_2_p). +sent(s_254_2_p, eng, 'it is now 1996'). +sent(s_254_2_p, original, 'it is now 1996'). +sent(s_254_2_p, swe, 'det är nu 1996'). + +tree(s_254_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseV', [t(expand_V, [])]), t(in_1993_Adv, [])])])])])])). +sent(s_254_3_q, eng, 'did ITEL expand in 1993'). +sent(s_254_3_q, original, 'did ITEL expand in 1993'). +sent(s_254_3_q, swe, 'expanderade ITEL 1993'). + +tree(s_254_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseV', [t(expand_V, [])]), t(in_1993_Adv, [])])])])])). +sent(s_254_4_h, eng, 'ITEL expanded in 1993'). +sent(s_254_4_h, original, 'ITEL expanded in 1993'). +sent(s_254_4_h, swe, 'ITEL expanderade 1993'). + +tree(s_255_1_p, t('Sentence', [t('AdvS', [t(since_1992_Adv, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(make8do_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(loss_N, [])])])])])])])])). +sent(s_255_1_p, eng, 'since 1992 ITEL has made a loss'). +sent(s_255_1_p, original, 'since 1992 ITEL has made a loss'). +sent(s_255_1_p, swe, 'sedan 1992 har ITEL gjort en förlust'). + +tree(s_255_2_p, s_252_2_p). +sent(s_255_2_p, eng, 'it is now 1996'). +sent(s_255_2_p, original, 'it is now 1996'). +sent(s_255_2_p, swe, 'det är nu 1996'). + +tree(s_255_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(make8do_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(loss_N, [])])])]), t(in_1993_Adv, [])])])])])])). +sent(s_255_3_q, eng, 'did ITEL make a loss in 1993'). +sent(s_255_3_q, original, 'did ITEL make a loss in 1993'). +sent(s_255_3_q, swe, 'gjorde ITEL en förlust 1993'). + +tree(s_255_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(make8do_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(loss_N, [])])])]), t(in_1993_Adv, [])])])])])). +sent(s_255_4_h, eng, 'ITEL made a loss in 1993'). +sent(s_255_4_h, original, 'ITEL made a loss in 1993'). +sent(s_255_4_h, swe, 'ITEL gjorde en förlust 1993'). + +tree(s_256_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(make8do_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(loss_N, [])])])]), t(since_1992_Adv, [])])])])])). +sent(s_256_1_p, eng, 'ITEL has made a loss since 1992'). +sent(s_256_1_p, original, 'ITEL has made a loss since 1992'). +sent(s_256_1_p, swe, 'ITEL har gjort en förlust sedan 1992'). + +tree(s_256_2_p, s_252_2_p). +sent(s_256_2_p, eng, 'it is now 1996'). +sent(s_256_2_p, original, 'it is now 1996'). +sent(s_256_2_p, swe, 'det är nu 1996'). + +tree(s_256_3_q, s_255_3_q). +sent(s_256_3_q, eng, 'did ITEL make a loss in 1993'). +sent(s_256_3_q, original, 'did ITEL make a loss in 1993'). +sent(s_256_3_q, swe, 'gjorde ITEL en förlust 1993'). + +tree(s_256_4_h, s_255_4_h). +sent(s_256_4_h, eng, 'ITEL made a loss in 1993'). +sent(s_256_4_h, original, 'ITEL made a loss in 1993'). +sent(s_256_4_h, swe, 'ITEL gjorde en förlust 1993'). + +tree(s_257_1_p, s_256_1_p). +sent(s_257_1_p, eng, 'ITEL has made a loss since 1992'). +sent(s_257_1_p, original, 'ITEL has made a loss since 1992'). +sent(s_257_1_p, swe, 'ITEL har gjort en förlust sedan 1992'). + +tree(s_257_2_p, s_252_2_p). +sent(s_257_2_p, eng, 'it is now 1996'). +sent(s_257_2_p, original, 'it is now 1996'). +sent(s_257_2_p, swe, 'det är nu 1996'). + +tree(s_257_3_q, s_255_3_q). +sent(s_257_3_q, eng, 'did ITEL make a loss in 1993'). +sent(s_257_3_q, original, 'did ITEL make a loss in 1993'). +sent(s_257_3_q, swe, 'gjorde ITEL en förlust 1993'). + +tree(s_257_4_h, s_255_4_h). +sent(s_257_4_h, eng, 'ITEL made a loss in 1993'). +sent(s_257_4_h, original, 'ITEL made a loss in 1993'). +sent(s_257_4_h, swe, 'ITEL gjorde en förlust 1993'). + +tree(s_258_1_p, t('Sentence', [t('AdvS', [t(in_march_1993_Adv, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(found_V2, [])]), t('UsePN', [t(itel_PN, [])])])])])])])). +sent(s_258_1_p, eng, 'in March 1993 APCOM founded ITEL'). +sent(s_258_1_p, original, 'in March 1993 APCOM founded ITEL'). +sent(s_258_1_p, swe, 'i mars 1993 grundade APCOM ITEL'). + +tree(s_258_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseV', [t(exist_V, [])]), t(in_1992_Adv, [])])])])])])). +sent(s_258_2_q, eng, 'did ITEL exist in 1992'). +sent(s_258_2_q, original, 'did ITEL exist in 1992'). +sent(s_258_2_q, swe, 'fanns ITEL 1992'). + +tree(s_258_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('UseV', [t(exist_V, [])]), t(in_1992_Adv, [])])])])])). +sent(s_258_3_h, eng, 'ITEL existed in 1992'). +sent(s_258_3_h, original, 'ITEL existed in 1992'). +sent(s_258_3_h, swe, 'ITEL fanns 1992'). + +tree(s_259_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(conference_N, [])])]), t('AdvVP', [t('UseV', [t(start_V, [])]), t(on_july_4th_1994_Adv, [])])])])])). +sent(s_259_1_p, eng, 'the conference started on July 4th , 1994'). +sent(s_259_1_p, original, 'the conference started on July 4th , 1994'). +sent(s_259_1_p, swe, 'konferensen började 4:e juli 1994'). + +tree(s_259_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('ComplSlash', [t('SlashV2a', [t(last_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_2', [])])])]), t('UseN', [t(day_N, [])])])])])])])). +sent(s_259_2_p, eng, 'it lasted 2 days'). +sent(s_259_2_p, original, 'it lasted 2 days'). +sent(s_259_2_p, swe, 'det varade 2 dagar'). + +tree(s_259_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(conference_N, [])])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t(over_Adv, [])])]), t(on_july_8th_1994_Adv, [])])])])])])). +sent(s_259_3_q, eng, 'was the conference over on July 8th , 1994'). +sent(s_259_3_q, original, 'was the conference over on July 8th , 1994'). +sent(s_259_3_q, swe, 'var konferensen slut 8:e juli 1994'). + +tree(s_259_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(conference_N, [])])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t(over_Adv, [])])]), t(on_july_8th_1994_Adv, [])])])])])). +sent(s_259_4_h, eng, 'the conference was over on July 8th , 1994'). +sent(s_259_4_h, original, 'the conference was over on July 8th , 1994'). +sent(s_259_4_h, swe, 'konferensen var slut 8:e juli 1994'). + +tree(s_260_1_p, t('Sentence', [t('AdvS', [t(yesterday_Adv, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])])). +sent(s_260_1_p, eng, 'yesterday APCOM signed the contract'). +sent(s_260_1_p, original, 'yesterday APCOM signed the contract'). +sent(s_260_1_p, swe, 'igår undertecknade APCOM kontraktet'). + +tree(s_260_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('MassNP', [t('UseN', [t(today_N, [])])]), t('UseComp', [t('CompAdv', [t(saturday_july_14th_Adv, [])])])])])])). +sent(s_260_2_p, eng, 'today is Saturday , July 14th'). +sent(s_260_2_p, original, 'today is Saturday , July 14th'). +sent(s_260_2_p, swe, 'idag är lördagen den 14 juli'). + +tree(s_260_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(friday_13th_Adv, [])])])])])])). +sent(s_260_3_q, eng, 'did APCOM sign the contract Friday , 13th'). +sent(s_260_3_q, original, 'did APCOM sign the contract Friday , 13th'). +sent(s_260_3_q, swe, 'undertecknade APCOM kontraktet fredagen den 13:e'). + +tree(s_260_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(friday_13th_Adv, [])])])])])). +sent(s_260_4_h, eng, 'APCOM signed the contract Friday , 13th'). +sent(s_260_4_h, original, 'APCOM signed the contract Friday , 13th'). +sent(s_260_4_h, swe, 'APCOM undertecknade kontraktet fredagen den 13:e'). + +tree(s_261_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_261_1_p, eng, 'Smith left before Jones left'). +sent(s_261_1_p, original, 'Smith left before Jones left'). +sent(s_261_1_p, swe, 'Smith gick innan Jones gick'). + +tree(s_261_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_261_2_p, eng, 'Jones left before Anderson left'). +sent(s_261_2_p, original, 'Jones left before Anderson left'). +sent(s_261_2_p, swe, 'Jones gick innan Anderson gick'). + +tree(s_261_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])])). +sent(s_261_3_q, eng, 'did Smith leave before Anderson left'). +sent(s_261_3_q, original, 'did Smith leave before Anderson left'). +sent(s_261_3_q, swe, 'gick Smith innan Anderson gick'). + +tree(s_261_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_261_4_h, eng, 'Smith left before Anderson left'). +sent(s_261_4_h, original, 'Smith left before Anderson left'). +sent(s_261_4_h, swe, 'Smith gick innan Anderson gick'). + +tree(s_262_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_262_1_p, eng, 'Smith left after Jones left'). +sent(s_262_1_p, original, 'Smith left after Jones left'). +sent(s_262_1_p, swe, 'Smith gick efter det att Jones gick'). + +tree(s_262_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_262_2_p, eng, 'Jones left after Anderson left'). +sent(s_262_2_p, original, 'Jones left after Anderson left'). +sent(s_262_2_p, swe, 'Jones gick efter det att Anderson gick'). + +tree(s_262_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])])). +sent(s_262_3_q, eng, 'did Smith leave after Anderson left'). +sent(s_262_3_q, original, 'did Smith leave after Anderson left'). +sent(s_262_3_q, swe, 'gick Smith efter det att Anderson gick'). + +tree(s_262_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_262_4_h, eng, 'Smith left after Anderson left'). +sent(s_262_4_h, original, 'Smith left after Anderson left'). +sent(s_262_4_h, swe, 'Smith gick efter det att Anderson gick'). + +tree(s_263_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_263_1_p, eng, 'Smith was present after Jones left'). +sent(s_263_1_p, original, 'Smith was present after Jones left'). +sent(s_263_1_p, swe, 'Smith var närvarande efter det att Jones gick'). + +tree(s_263_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])). +sent(s_263_2_p, eng, 'Jones left after Anderson was present'). +sent(s_263_2_p, original, 'Jones left after Anderson was present'). +sent(s_263_2_p, swe, 'Jones gick efter det att Anderson var närvarande'). + +tree(s_263_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])])). +sent(s_263_3_q, eng, 'was Smith present after Anderson was present'). +sent(s_263_3_q, original, 'was Smith present after Anderson was present'). +sent(s_263_3_q, swe, 'var Smith närvarande efter det att Anderson var närvarande'). + +tree(s_263_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(anderson_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])). +sent(s_263_4_h, eng, 'Smith was present after Anderson was present'). +sent(s_263_4_h, original, 'Smith was present after Anderson was present'). +sent(s_263_4_h, swe, 'Smith var närvarande efter det att Anderson var närvarande'). + +tree(s_264_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(leave_V, [])])])])])). +sent(s_264_1_p, eng, 'Smith left'). +sent(s_264_1_p, original, 'Smith left'). +sent(s_264_1_p, swe, 'Smith gick'). + +tree(s_264_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(leave_V, [])])])])])). +sent(s_264_2_p, eng, 'Jones left'). +sent(s_264_2_p, original, 'Jones left'). +sent(s_264_2_p, swe, 'Jones gick'). + +tree(s_264_3_p, s_261_1_p). +sent(s_264_3_p, eng, 'Smith left before Jones left'). +sent(s_264_3_p, original, 'Smith left before Jones left'). +sent(s_264_3_p, swe, 'Smith gick innan Jones gick'). + +tree(s_264_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])])). +sent(s_264_4_q, eng, 'did Jones leave after Smith left'). +sent(s_264_4_q, original, 'did Jones leave after Smith left'). +sent(s_264_4_q, swe, 'gick Jones efter det att Smith gick'). + +tree(s_264_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_264_5_h, eng, 'Jones left after Smith left'). +sent(s_264_5_h, original, 'Jones left after Smith left'). +sent(s_264_5_h, swe, 'Jones gick efter det att Smith gick'). + +tree(s_265_1_p, s_264_1_p). +sent(s_265_1_p, eng, 'Smith left'). +sent(s_265_1_p, original, 'Smith left'). +sent(s_265_1_p, swe, 'Smith gick'). + +tree(s_265_2_p, s_264_2_p). +sent(s_265_2_p, eng, 'Jones left'). +sent(s_265_2_p, original, 'Jones left'). +sent(s_265_2_p, swe, 'Jones gick'). + +tree(s_265_3_p, s_262_1_p). +sent(s_265_3_p, eng, 'Smith left after Jones left'). +sent(s_265_3_p, original, 'Smith left after Jones left'). +sent(s_265_3_p, swe, 'Smith gick efter det att Jones gick'). + +tree(s_265_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])])). +sent(s_265_4_q, eng, 'did Jones leave before Smith left'). +sent(s_265_4_q, original, 'did Jones leave before Smith left'). +sent(s_265_4_q, swe, 'gick Jones innan Smith gick'). + +tree(s_265_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])). +sent(s_265_5_h, eng, 'Jones left before Smith left'). +sent(s_265_5_h, original, 'Jones left before Smith left'). +sent(s_265_5_h, swe, 'Jones gick innan Smith gick'). + +tree(s_266_1_p, s_264_1_p). +sent(s_266_1_p, eng, 'Smith left'). +sent(s_266_1_p, original, 'Smith left'). +sent(s_266_1_p, swe, 'Smith gick'). + +tree(s_266_2_p, s_264_2_p). +sent(s_266_2_p, eng, 'Jones left'). +sent(s_266_2_p, original, 'Jones left'). +sent(s_266_2_p, swe, 'Jones gick'). + +tree(s_266_3_p, s_265_5_h). +sent(s_266_3_p, eng, 'Jones left before Smith left'). +sent(s_266_3_p, original, 'Jones left before Smith left'). +sent(s_266_3_p, swe, 'Jones gick innan Smith gick'). + +tree(s_266_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(leave_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(leave_V, [])])])])])])])])])])). +sent(s_266_4_q, eng, 'did Smith leave after Jones left'). +sent(s_266_4_q, original, 'did Smith leave after Jones left'). +sent(s_266_4_q, swe, 'gick Smith efter det att Jones gick'). + +tree(s_266_5_h, s_262_1_p). +sent(s_266_5_h, eng, 'Smith left after Jones left'). +sent(s_266_5_h, original, 'Smith left after Jones left'). +sent(s_266_5_h, swe, 'Smith gick efter det att Jones gick'). + +tree(s_267_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_267_1_p, eng, 'Jones revised the contract'). +sent(s_267_1_p, original, 'Jones revised the contract'). +sent(s_267_1_p, swe, 'Jones granskade kontraktet'). + +tree(s_267_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])])). +sent(s_267_2_p, eng, 'Smith revised the contract'). +sent(s_267_2_p, original, 'Smith revised the contract'). +sent(s_267_2_p, swe, 'Smith granskade kontraktet'). + +tree(s_267_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])). +sent(s_267_3_p, eng, 'Jones revised the contract before Smith did [..]'). +sent(s_267_3_p, original, 'Jones revised the contract before Smith did [..]'). +sent(s_267_3_p, swe, 'Jones granskade kontraktet innan Smith gjorde [..]'). + +tree(s_267_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])])). +sent(s_267_4_q, eng, 'did Smith revise the contract after Jones did [..]'). +sent(s_267_4_q, original, 'did Smith revise the contract after Jones did [..]'). +sent(s_267_4_q, swe, 'granskade Smith kontraktet efter det att Jones gjorde [..]'). + +tree(s_267_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])). +sent(s_267_5_h, eng, 'Smith revised the contract after Jones did [..]'). +sent(s_267_5_h, original, 'Smith revised the contract after Jones did [..]'). +sent(s_267_5_h, swe, 'Smith granskade kontraktet efter det att Jones gjorde [..]'). + +tree(s_268_1_p, s_267_1_p). +sent(s_268_1_p, eng, 'Jones revised the contract'). +sent(s_268_1_p, original, 'Jones revised the contract'). +sent(s_268_1_p, swe, 'Jones granskade kontraktet'). + +tree(s_268_2_p, s_267_2_p). +sent(s_268_2_p, eng, 'Smith revised the contract'). +sent(s_268_2_p, original, 'Smith revised the contract'). +sent(s_268_2_p, swe, 'Smith granskade kontraktet'). + +tree(s_268_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])). +sent(s_268_3_p, eng, 'Jones revised the contract after Smith did [..]'). +sent(s_268_3_p, original, 'Jones revised the contract after Smith did [..]'). +sent(s_268_3_p, swe, 'Jones granskade kontraktet efter det att Smith gjorde [..]'). + +tree(s_268_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])])). +sent(s_268_4_q, eng, 'did Smith revise the contract before Jones did [..]'). +sent(s_268_4_q, original, 'did Smith revise the contract before Jones did [..]'). +sent(s_268_4_q, swe, 'granskade Smith kontraktet innan Jones gjorde [..]'). + +tree(s_268_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(revise_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])). +sent(s_268_5_h, eng, 'Smith revised the contract before Jones did [..]'). +sent(s_268_5_h, original, 'Smith revised the contract before Jones did [..]'). +sent(s_268_5_h, swe, 'Smith granskade kontraktet innan Jones gjorde [..]'). + +tree(s_269_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(swim_V, [])])])])])). +sent(s_269_1_p, eng, 'Smith swam'). +sent(s_269_1_p, original, 'Smith swam'). +sent(s_269_1_p, swe, 'Smith simmade'). + +tree(s_269_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(swim_V, [])])])])])). +sent(s_269_2_p, eng, 'Jones swam'). +sent(s_269_2_p, original, 'Jones swam'). +sent(s_269_2_p, swe, 'Jones simmade'). + +tree(s_269_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseV', [t(swim_V, [])])])])])])])])])). +sent(s_269_3_p, eng, 'Smith swam before Jones swam'). +sent(s_269_3_p, original, 'Smith swam before Jones swam'). +sent(s_269_3_p, swe, 'Smith simmade innan Jones simmade'). + +tree(s_269_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(swim_V, [])])])])])])])])])])). +sent(s_269_4_q, eng, 'did Jones swim after Smith swam'). +sent(s_269_4_q, original, 'did Jones swim after Smith swam'). +sent(s_269_4_q, swe, 'simmade Jones efter det att Smith simmade'). + +tree(s_269_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseV', [t(swim_V, [])])])])])])])])])). +sent(s_269_5_h, eng, 'Jones swam after Smith swam'). +sent(s_269_5_h, original, 'Jones swam after Smith swam'). +sent(s_269_5_h, swe, 'Jones simmade efter det att Smith simmade'). + +tree(s_270_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])])])])])). +sent(s_270_1_p, eng, 'Smith swam to the shore'). +sent(s_270_1_p, original, 'Smith swam to the shore'). +sent(s_270_1_p, swe, 'Smith simmade till stranden'). + +tree(s_270_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])])])])])). +sent(s_270_2_p, eng, 'Jones swam to the shore'). +sent(s_270_2_p, original, 'Jones swam to the shore'). +sent(s_270_2_p, swe, 'Jones simmade till stranden'). + +tree(s_270_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])])])])])])])])])). +sent(s_270_3_p, eng, 'Smith swam to the shore before Jones swam to the shore'). +sent(s_270_3_p, original, 'Smith swam to the shore before Jones swam to the shore'). +sent(s_270_3_p, swe, 'Smith simmade till stranden innan Jones simmade till stranden'). + +tree(s_270_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])])])])])])])])])])). +sent(s_270_4_q, eng, 'did Jones swim to the shore after Smith swam to the shore'). +sent(s_270_4_q, original, 'did Jones swim to the shore after Smith swam to the shore'). +sent(s_270_4_q, swe, 'simmade Jones till stranden efter det att Smith simmade till stranden'). + +tree(s_270_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(swim_V, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(shore_N, [])])])])])])])])])])])])). +sent(s_270_5_h, eng, 'Jones swam to the shore after Smith swam to the shore'). +sent(s_270_5_h, original, 'Jones swam to the shore after Smith swam to the shore'). +sent(s_270_5_h, swe, 'Jones simmade till stranden efter det att Smith simmade till stranden'). + +tree(s_271_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])). +sent(s_271_1_p, eng, 'Smith was present'). +sent(s_271_1_p, original, 'Smith was present'). +sent(s_271_1_p, swe, 'Smith var närvarande'). + +tree(s_271_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])). +sent(s_271_2_p, eng, 'Jones was present'). +sent(s_271_2_p, original, 'Jones was present'). +sent(s_271_2_p, swe, 'Jones var närvarande'). + +tree(s_271_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])). +sent(s_271_3_p, eng, 'Smith was present after Jones was present'). +sent(s_271_3_p, original, 'Smith was present after Jones was present'). +sent(s_271_3_p, swe, 'Smith var närvarande efter det att Jones var närvarande'). + +tree(s_271_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])])). +sent(s_271_4_q, eng, 'was Jones present before Smith was present'). +sent(s_271_4_q, original, 'was Jones present before Smith was present'). +sent(s_271_4_q, swe, 'var Jones närvarande innan Smith var närvarande'). + +tree(s_271_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])). +sent(s_271_5_h, eng, 'Jones was present before Smith was present'). +sent(s_271_5_h, original, 'Jones was present before Smith was present'). +sent(s_271_5_h, swe, 'Jones var närvarande innan Smith var närvarande'). + +tree(s_272_1_p, s_271_1_p). +sent(s_272_1_p, eng, 'Smith was present'). +sent(s_272_1_p, original, 'Smith was present'). +sent(s_272_1_p, swe, 'Smith var närvarande'). + +tree(s_272_2_p, s_271_2_p). +sent(s_272_2_p, eng, 'Jones was present'). +sent(s_272_2_p, original, 'Jones was present'). +sent(s_272_2_p, swe, 'Jones var närvarande'). + +tree(s_272_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])). +sent(s_272_3_p, eng, 'Smith was present before Jones was present'). +sent(s_272_3_p, original, 'Smith was present before Jones was present'). +sent(s_272_3_p, swe, 'Smith var närvarande innan Jones var närvarande'). + +tree(s_272_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])])). +sent(s_272_4_q, eng, 'was Jones present after Smith was present'). +sent(s_272_4_q, original, 'was Jones present after Smith was present'). +sent(s_272_4_q, swe, 'var Jones närvarande efter det att Smith var närvarande'). + +tree(s_272_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(present8attending_A, [])])])])])])])])])])])). +sent(s_272_5_h, eng, 'Jones was present after Smith was present'). +sent(s_272_5_h, original, 'Jones was present after Smith was present'). +sent(s_272_5_h, swe, 'Jones var närvarande efter det att Smith var närvarande'). + +tree(s_273_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])). +sent(s_273_1_p, eng, 'Smith was writing a report'). +sent(s_273_1_p, original, 'Smith was writing a report'). +sent(s_273_1_p, swe, 'Smith skrev en rapport'). + +tree(s_273_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])). +sent(s_273_2_p, eng, 'Jones was writing a report'). +sent(s_273_2_p, original, 'Jones was writing a report'). +sent(s_273_2_p, swe, 'Jones skrev en rapport'). + +tree(s_273_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])). +sent(s_273_3_p, eng, 'Smith was writing a report before Jones was writing a report'). +sent(s_273_3_p, original, 'Smith was writing a report before Jones was writing a report'). +sent(s_273_3_p, swe, 'Smith skrev en rapport innan Jones skrev en rapport'). + +tree(s_273_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])])). +sent(s_273_4_q, eng, 'was Jones writing a report after Smith was writing a report'). +sent(s_273_4_q, original, 'was Jones writing a report after Smith was writing a report'). +sent(s_273_4_q, swe, 'skrev Jones en rapport efter det att Smith skrev en rapport'). + +tree(s_273_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])). +sent(s_273_5_h, eng, 'Jones was writing a report after Smith was writing a report'). +sent(s_273_5_h, original, 'Jones was writing a report after Smith was writing a report'). +sent(s_273_5_h, swe, 'Jones skrev en rapport efter det att Smith skrev en rapport'). + +tree(s_274_1_p, s_273_1_p). +sent(s_274_1_p, eng, 'Smith was writing a report'). +sent(s_274_1_p, original, 'Smith was writing a report'). +sent(s_274_1_p, swe, 'Smith skrev en rapport'). + +tree(s_274_2_p, s_273_2_p). +sent(s_274_2_p, eng, 'Jones was writing a report'). +sent(s_274_2_p, original, 'Jones was writing a report'). +sent(s_274_2_p, swe, 'Jones skrev en rapport'). + +tree(s_274_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])). +sent(s_274_3_p, eng, 'Smith was writing a report after Jones was writing a report'). +sent(s_274_3_p, original, 'Smith was writing a report after Jones was writing a report'). +sent(s_274_3_p, swe, 'Smith skrev en rapport efter det att Jones skrev en rapport'). + +tree(s_274_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])])). +sent(s_274_4_q, eng, 'was Jones writing a report before Smith was writing a report'). +sent(s_274_4_q, original, 'was Jones writing a report before Smith was writing a report'). +sent(s_274_4_q, swe, 'skrev Jones en rapport innan Smith skrev en rapport'). + +tree(s_274_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])])])])])). +sent(s_274_5_h, eng, 'Jones was writing a report before Smith was writing a report'). +sent(s_274_5_h, original, 'Jones was writing a report before Smith was writing a report'). +sent(s_274_5_h, swe, 'Jones skrev en rapport innan Smith skrev en rapport'). + +tree(s_275_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(temper_N, [])])])])])])])])])])])). +sent(s_275_1_p, eng, 'Smith left the meeting before he lost his temper'). +sent(s_275_1_p, original, 'Smith left the meeting before he lost his temper'). +sent(s_275_1_p, swe, 'Smith lämnade mötet innan han förlorade sitt humör'). + +tree(s_275_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(temper_N, [])])])])])])])])). +sent(s_275_2_q, eng, 'did Smith lose his temper'). +sent(s_275_2_q, original, 'did Smith lose his temper'). +sent(s_275_2_q, swe, 'förlorade Smith sitt humör'). + +tree(s_275_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(temper_N, [])])])])])])])). +sent(s_275_3_h, eng, 'Smith lost his temper'). +sent(s_275_3_h, original, 'Smith lost his temper'). +sent(s_275_3_h, swe, 'Smith förlorade sitt humör'). + +tree(s_276_1_p, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(when_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(open_V2, [])]), t('UsePN', [t(the_m25_PN, [])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('MassNP', [t('UseN', [t(traffic_N, [])])]), t('UseV', [t(increase_V, [])])])])])])). +sent(s_276_1_p, eng, 'when they opened the M25 , traffic increased'). +sent(s_276_1_p, original, 'when they opened the M25 , traffic increased'). +sent(s_276_1_p, swe, 'när de öppnade M25:an , ökade trafik'). + +tree(s_277_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(in_1991_Adv, [])])])])])). +sent(s_277_1_p, eng, 'Smith lived in Birmingham in 1991'). +sent(s_277_1_p, original, 'Smith lived in Birmingham in 1991'). +sent(s_277_1_p, swe, 'Smith bodde i Birmingham 1991'). + +tree(s_277_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(in_1992_Adv, [])])])])])])). +sent(s_277_2_q, eng, 'did Smith live in Birmingham in 1992'). +sent(s_277_2_q, original, 'did Smith live in Birmingham in 1992'). +sent(s_277_2_q, swe, 'bodde Smith i Birmingham 1992'). + +tree(s_277_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(in_1992_Adv, [])])])])])). +sent(s_277_3_h, eng, 'Smith lived in Birmingham in 1992'). +sent(s_277_3_h, original, 'Smith lived in Birmingham in 1992'). +sent(s_277_3_h, swe, 'Smith bodde i Birmingham 1992'). + +tree(s_278_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', []), t('OrdNumeral', [t('N_one', [])])]), t('UseN', [t(novel_N, [])])])]), t(in_1991_Adv, [])])])])])). +sent(s_278_1_p, eng, 'Smith wrote his first novel in 1991'). +sent(s_278_1_p, original, 'Smith wrote his first novel in 1991'). +sent(s_278_1_p, swe, 'Smith skrev sin första roman 1991'). + +tree(s_278_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', []), t('OrdNumeral', [t('N_one', [])])]), t('UseN', [t(novel_N, [])])])]), t(in_1992_Adv, [])])])])])])). +sent(s_278_2_q, eng, 'did Smith write his first novel in 1992'). +sent(s_278_2_q, original, 'did Smith write his first novel in 1992'). +sent(s_278_2_q, swe, 'skrev Smith sin första roman 1992'). + +tree(s_278_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', []), t('OrdNumeral', [t('N_one', [])])]), t('UseN', [t(novel_N, [])])])]), t(in_1992_Adv, [])])])])])). +sent(s_278_3_h, eng, 'Smith wrote his first novel in 1992'). +sent(s_278_3_h, original, 'Smith wrote his first novel in 1992'). +sent(s_278_3_h, swe, 'Smith skrev sin första roman 1992'). + +tree(s_279_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(novel_N, [])])])]), t(in_1991_Adv, [])])])])])). +sent(s_279_1_p, eng, 'Smith wrote a novel in 1991'). +sent(s_279_1_p, original, 'Smith wrote a novel in 1991'). +sent(s_279_1_p, swe, 'Smith skrev en roman 1991'). + +tree(s_279_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('UsePron', [t(it_Pron, [])])]), t(in_1992_Adv, [])])])])])])). +sent(s_279_2_q, eng, 'did Smith write it in 1992'). +sent(s_279_2_q, original, 'did Smith write it in 1992'). +sent(s_279_2_q, swe, 'skrev Smith det 1992'). + +tree(s_279_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('UsePron', [t(it_Pron, [])])]), t(in_1992_Adv, [])])])])])). +sent(s_279_3_h, eng, 'Smith wrote it in 1992'). +sent(s_279_3_h, original, 'Smith wrote it in 1992'). +sent(s_279_3_h, swe, 'Smith skrev det 1992'). + +tree(s_280_1_p, s_279_1_p). +sent(s_280_1_p, eng, 'Smith wrote a novel in 1991'). +sent(s_280_1_p, original, 'Smith wrote a novel in 1991'). +sent(s_280_1_p, swe, 'Smith skrev en roman 1991'). + +tree(s_280_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(novel_N, [])])])]), t(in_1992_Adv, [])])])])])])). +sent(s_280_2_q, eng, 'did Smith write a novel in 1992'). +sent(s_280_2_q, original, 'did Smith write a novel in 1992'). +sent(s_280_2_q, swe, 'skrev Smith en roman 1992'). + +tree(s_280_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(novel_N, [])])])]), t(in_1992_Adv, [])])])])])). +sent(s_280_3_h, eng, 'Smith wrote a novel in 1992'). +sent(s_280_3_h, original, 'Smith wrote a novel in 1992'). +sent(s_280_3_h, swe, 'Smith skrev en roman 1992'). + +tree(s_281_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(business_N, [])])])])]), t(in_1991_Adv, [])])])])])). +sent(s_281_1_p, eng, 'Smith was running a business in 1991'). +sent(s_281_1_p, original, 'Smith was running a business in 1991'). +sent(s_281_1_p, swe, 'Smith drev en affärsverksamhet 1991'). + +tree(s_281_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('UsePron', [t(it_Pron, [])])])]), t(in_1992_Adv, [])])])])])])). +sent(s_281_2_q, eng, 'was Smith running it in 1992'). +sent(s_281_2_q, original, 'was Smith running it in 1992'). +sent(s_281_2_q, swe, 'drev Smith det 1992'). + +tree(s_281_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('UsePron', [t(it_Pron, [])])])]), t(in_1992_Adv, [])])])])])). +sent(s_281_3_h, eng, 'Smith was running it in 1992'). +sent(s_281_3_h, original, 'Smith was running it in 1992'). +sent(s_281_3_h, swe, 'Smith drev det 1992'). + +tree(s_282_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(in_1991_Adv, [])])])])])). +sent(s_282_1_p, eng, 'Smith discovered a new species in 1991'). +sent(s_282_1_p, original, 'Smith discovered a new species in 1991'). +sent(s_282_1_p, swe, 'Smith upptäckte en ny art 1991'). + +tree(s_282_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('UsePron', [t(it_Pron, [])])]), t(in_1992_Adv, [])])])])])])). +sent(s_282_2_q, eng, 'did Smith discover it in 1992'). +sent(s_282_2_q, original, 'did Smith discover it in 1992'). +sent(s_282_2_q, swe, 'upptäckte Smith det 1992'). + +tree(s_282_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('UsePron', [t(it_Pron, [])])]), t(in_1992_Adv, [])])])])])). +sent(s_282_3_h, eng, 'Smith discovered it in 1992'). +sent(s_282_3_h, original, 'Smith discovered it in 1992'). +sent(s_282_3_h, swe, 'Smith upptäckte det 1992'). + +tree(s_283_1_p, s_282_1_p). +sent(s_283_1_p, eng, 'Smith discovered a new species in 1991'). +sent(s_283_1_p, original, 'Smith discovered a new species in 1991'). +sent(s_283_1_p, swe, 'Smith upptäckte en ny art 1991'). + +tree(s_283_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(in_1992_Adv, [])])])])])])). +sent(s_283_2_q, eng, 'did Smith discover a new species in 1992'). +sent(s_283_2_q, original, 'did Smith discover a new species in 1992'). +sent(s_283_2_q, swe, 'upptäckte Smith en ny art 1992'). + +tree(s_283_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(in_1992_Adv, [])])])])])). +sent(s_283_3_h, eng, 'Smith discovered a new species in 1992'). +sent(s_283_3_h, original, 'Smith discovered a new species in 1992'). +sent(s_283_3_h, swe, 'Smith upptäckte en ny art 1992'). + +tree(s_284_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(in_two_hours_Adv, [])])])])])). +sent(s_284_1_p, eng, 'Smith wrote a report in two hours'). +sent(s_284_1_p, original, 'Smith wrote a report in two hours'). +sent(s_284_1_p, swe, 'Smith skrev en rapport på två timmar'). + +tree(s_284_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplVV', [t(start_VV, []), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t(at_8_am_Adv, [])])])])])). +sent(s_284_2_p, eng, 'Smith started writing the report at 8 am'). +sent(s_284_2_p, original, 'Smith started writing the report at 8 am'). +sent(s_284_2_p, swe, 'Smith började skriva rapporten klockan 8'). + +tree(s_284_3_q, t('Question', [t('UseQCl', [t('PastPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplVV', [t(finish_VV, []), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t(by_11_am_Adv, [])])])])])])). +sent(s_284_3_q, eng, 'had Smith finished writing the report by 11 am'). +sent(s_284_3_q, original, 'had Smith finished writing the report by 11 am'). +sent(s_284_3_q, swe, 'hade Smith slutat att skriva rapporten klockan 11'). + +tree(s_284_4_h, t('Sentence', [t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplVV', [t(finish_VV, []), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t(by_11_am_Adv, [])])])])])). +sent(s_284_4_h, eng, 'Smith had finished writing the report by 11 am'). +sent(s_284_4_h, original, 'Smith had finished writing the report by 11 am'). +sent(s_284_4_h, swe, 'Smith hade slutat att skriva rapporten klockan 11'). + +tree(s_285_1_p, s_284_1_p). +sent(s_285_1_p, eng, 'Smith wrote a report in two hours'). +sent(s_285_1_p, original, 'Smith wrote a report in two hours'). +sent(s_285_1_p, swe, 'Smith skrev en rapport på två timmar'). + +tree(s_285_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('AdjCN', [t('PartVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('UseN', [t(hour_N, [])])])])])])])])])). +sent(s_285_2_q, eng, 'did Smith spend two hours writing the report'). +sent(s_285_2_q, original, 'did Smith spend two hours writing the report'). + +tree(s_285_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('AdjCN', [t('PartVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('UseN', [t(hour_N, [])])])])])])])])). +sent(s_285_3_h, eng, 'Smith spent two hours writing the report'). +sent(s_285_3_h, original, 'Smith spent two hours writing the report'). + +tree(s_286_1_p, s_284_1_p). +sent(s_286_1_p, eng, 'Smith wrote a report in two hours'). +sent(s_286_1_p, original, 'Smith wrote a report in two hours'). +sent(s_286_1_p, swe, 'Smith skrev en rapport på två timmar'). + +tree(s_286_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_two', [])])])])]), t('AdjCN', [t('PartVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('UseN', [t(hour_N, [])])])])])])])])])). +sent(s_286_2_q, eng, 'did Smith spend more than two hours writing the report'). +sent(s_286_2_q, original, 'did Smith spend more than two hours writing the report'). + +tree(s_286_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_two', [])])])])]), t('AdjCN', [t('PartVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('UseN', [t(hour_N, [])])])])])])])])). +sent(s_286_3_h, eng, 'Smith spent more than two hours writing the report'). +sent(s_286_3_h, original, 'Smith spent more than two hours writing the report'). + +tree(s_287_1_p, s_284_1_p). +sent(s_287_1_p, eng, 'Smith wrote a report in two hours'). +sent(s_287_1_p, original, 'Smith wrote a report in two hours'). +sent(s_287_1_p, swe, 'Smith skrev en rapport på två timmar'). + +tree(s_287_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(in_one_hour_Adv, [])])])])])])). +sent(s_287_2_q, eng, 'did Smith write a report in one hour'). +sent(s_287_2_q, original, 'did Smith write a report in one hour'). +sent(s_287_2_q, swe, 'skrev Smith en rapport på en timme'). + +tree(s_287_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(in_one_hour_Adv, [])])])])])). +sent(s_287_3_h, eng, 'Smith wrote a report in one hour'). +sent(s_287_3_h, original, 'Smith wrote a report in one hour'). +sent(s_287_3_h, swe, 'Smith skrev en rapport på en timme'). + +tree(s_288_1_p, s_284_1_p). +sent(s_288_1_p, eng, 'Smith wrote a report in two hours'). +sent(s_288_1_p, original, 'Smith wrote a report in two hours'). +sent(s_288_1_p, swe, 'Smith skrev en rapport på två timmar'). + +tree(s_288_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])])). +sent(s_288_2_q, eng, 'did Smith write a report'). +sent(s_288_2_q, original, 'did Smith write a report'). +sent(s_288_2_q, swe, 'skrev Smith en rapport'). + +tree(s_288_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])). +sent(s_288_3_h, eng, 'Smith wrote a report'). +sent(s_288_3_h, original, 'Smith wrote a report'). +sent(s_288_3_h, swe, 'Smith skrev en rapport'). + +tree(s_289_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(in_two_hours_Adv, [])])])])])). +sent(s_289_1_p, eng, 'Smith discovered a new species in two hours'). +sent(s_289_1_p, original, 'Smith discovered a new species in two hours'). +sent(s_289_1_p, swe, 'Smith upptäckte en ny art på två timmar'). + +tree(s_289_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('SentCN', [t('UseN', [t(hour_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])])])])])])). +sent(s_289_2_q, eng, 'did Smith spend two hours discovering the new species'). +sent(s_289_2_q, original, 'did Smith spend two hours discovering the new species'). + +tree(s_289_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('SentCN', [t('UseN', [t(hour_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])])])])])). +sent(s_289_3_h, eng, 'Smith spent two hours discovering the new species'). +sent(s_289_3_h, original, 'Smith spent two hours discovering the new species'). + +tree(s_290_1_p, s_289_1_p). +sent(s_290_1_p, eng, 'Smith discovered a new species in two hours'). +sent(s_290_1_p, original, 'Smith discovered a new species in two hours'). +sent(s_290_1_p, swe, 'Smith upptäckte en ny art på två timmar'). + +tree(s_290_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])])). +sent(s_290_2_q, eng, 'did Smith discover a new species'). +sent(s_290_2_q, original, 'did Smith discover a new species'). +sent(s_290_2_q, swe, 'upptäckte Smith en ny art'). + +tree(s_290_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])). +sent(s_290_3_h, eng, 'Smith discovered a new species'). +sent(s_290_3_h, original, 'Smith discovered a new species'). +sent(s_290_3_h, swe, 'Smith upptäckte en ny art'). + +tree(s_291_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t(many_Det, []), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(in_two_hours_Adv, [])])])])])). +sent(s_291_1_p, eng, 'Smith discovered many new species in two hours'). +sent(s_291_1_p, original, 'Smith discovered many new species in two hours'). +sent(s_291_1_p, swe, 'Smith upptäckte många nya arter på två timmar'). + +tree(s_291_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('SentCN', [t('UseN', [t(hour_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('MassNP', [t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])])])])])])). +sent(s_291_2_q, eng, 'did Smith spend two hours discovering new species'). +sent(s_291_2_q, original, 'did Smith spend two hours discovering new species'). + +tree(s_291_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('SentCN', [t('UseN', [t(hour_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('MassNP', [t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])])])])])). +sent(s_291_3_h, eng, 'Smith spent two hours discovering new species'). +sent(s_291_3_h, original, 'Smith spent two hours discovering new species'). + +tree(s_292_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])]), t('PrepNP', [t(in_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(year_N, [])])])])])])])])). +sent(s_292_1_p, eng, 'Smith was running his own business in two years'). +sent(s_292_1_p, original, 'Smith was running his own business in two years'). +sent(s_292_1_p, swe, 'Smith drev sin egna affärsverksamhet i två år'). + +tree(s_292_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('SentCN', [t('UseN', [t(year_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])])])])])])])])])). +sent(s_292_2_q, eng, 'did Smith spend two years running his own business'). +sent(s_292_2_q, original, 'did Smith spend two years running his own business'). + +tree(s_292_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('SentCN', [t('UseN', [t(year_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])])])])])])])])). +sent(s_292_3_h, eng, 'Smith spent two years running his own business'). +sent(s_292_3_h, original, 'Smith spent two years running his own business'). + +tree(s_293_1_p, s_292_1_p). +sent(s_293_1_p, eng, 'Smith was running his own business in two years'). +sent(s_293_1_p, original, 'Smith was running his own business in two years'). +sent(s_293_1_p, swe, 'Smith drev sin egna affärsverksamhet i två år'). + +tree(s_293_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_two', [])])])])]), t('SentCN', [t('UseN', [t(year_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])])])])])])])])])). +sent(s_293_2_q, eng, 'did Smith spend more than two years running his own business'). +sent(s_293_2_q, original, 'did Smith spend more than two years running his own business'). + +tree(s_293_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(spend_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(more_than_AdN, []), t('NumNumeral', [t('N_two', [])])])])]), t('SentCN', [t('UseN', [t(year_N, [])]), t('EmbedPresPart', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])])])])])])])])). +sent(s_293_3_h, eng, 'Smith spent more than two years running his own business'). +sent(s_293_3_h, original, 'Smith spent more than two years running his own business'). + +tree(s_294_1_p, s_292_1_p). +sent(s_294_1_p, eng, 'Smith was running his own business in two years'). +sent(s_294_1_p, original, 'Smith was running his own business in two years'). +sent(s_294_1_p, swe, 'Smith drev sin egna affärsverksamhet i två år'). + +tree(s_294_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])])])])])). +sent(s_294_2_q, eng, 'did Smith run his own business'). +sent(s_294_2_q, original, 'did Smith run his own business'). +sent(s_294_2_q, swe, 'drev Smith sin egna affärsverksamhet'). + +tree(s_294_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])])])])])). +sent(s_294_3_h, eng, 'Smith ran his own business'). +sent(s_294_3_h, original, 'Smith ran his own business'). +sent(s_294_3_h, swe, 'Smith drev sin egna affärsverksamhet'). + +tree(s_295_1_p, t('Sentence', [t('AdvS', [t('PrepNP', [t(in_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(year_N, [])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(business_N, [])])])])])])])])])])])). +sent(s_295_1_p, eng, 'in two years Smith owned a chain of businesses'). +sent(s_295_1_p, original, 'in two years Smith owned a chain of businesses'). +sent(s_295_1_p, swe, 'i två år ägde Smith en kedja av affärsverksamheter'). + +tree(s_295_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])]), t(for_two_years_Adv, [])])])])])])). +sent(s_295_2_q, eng, 'did Smith own a chain of business for two years'). +sent(s_295_2_q, original, 'did Smith own a chain of business for two years'). +sent(s_295_2_q, swe, 'ägde Smith en kedja av affärsverksamhet i två år'). + +tree(s_295_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])]), t(for_two_years_Adv, [])])])])])). +sent(s_295_3_h, eng, 'Smith owned a chain of business for two years'). +sent(s_295_3_h, original, 'Smith owned a chain of business for two years'). +sent(s_295_3_h, swe, 'Smith ägde en kedja av affärsverksamhet i två år'). + +tree(s_296_1_p, s_295_1_p). +sent(s_296_1_p, eng, 'in two years Smith owned a chain of businesses'). +sent(s_296_1_p, original, 'in two years Smith owned a chain of businesses'). +sent(s_296_1_p, swe, 'i två år ägde Smith en kedja av affärsverksamheter'). + +tree(s_296_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])]), t(for_more_than_two_years_Adv, [])])])])])])). +sent(s_296_2_q, eng, 'did Smith own a chain of business for more than two years'). +sent(s_296_2_q, original, 'did Smith own a chain of business for more than two years'). +sent(s_296_2_q, swe, 'ägde Smith en kedja av affärsverksamhet i mer än två år'). + +tree(s_296_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])]), t(for_more_than_two_years_Adv, [])])])])])). +sent(s_296_3_h, eng, 'Smith owned a chain of business for more than two years'). +sent(s_296_3_h, original, 'Smith owned a chain of business for more than two years'). +sent(s_296_3_h, swe, 'Smith ägde en kedja av affärsverksamhet i mer än två år'). + +tree(s_297_1_p, s_295_1_p). +sent(s_297_1_p, eng, 'in two years Smith owned a chain of businesses'). +sent(s_297_1_p, original, 'in two years Smith owned a chain of businesses'). +sent(s_297_1_p, swe, 'i två år ägde Smith en kedja av affärsverksamheter'). + +tree(s_297_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])])])])])])). +sent(s_297_2_q, eng, 'did Smith own a chain of business'). +sent(s_297_2_q, original, 'did Smith own a chain of business'). +sent(s_297_2_q, swe, 'ägde Smith en kedja av affärsverksamhet'). + +tree(s_297_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(chain_N, [])]), t('PrepNP', [t(part_Prep, []), t('MassNP', [t('UseN', [t(business_N, [])])])])])])])])])])). +sent(s_297_3_h, eng, 'Smith owned a chain of business'). +sent(s_297_3_h, original, 'Smith owned a chain of business'). +sent(s_297_3_h, swe, 'Smith ägde en kedja av affärsverksamhet'). + +tree(s_298_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(for_two_years_Adv, [])])])])])). +sent(s_298_1_p, eng, 'Smith lived in Birmingham for two years'). +sent(s_298_1_p, original, 'Smith lived in Birmingham for two years'). +sent(s_298_1_p, swe, 'Smith bodde i Birmingham i två år'). + +tree(s_298_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(for_a_year_Adv, [])])])])])])). +sent(s_298_2_q, eng, 'did Smith live in Birmingham for a year'). +sent(s_298_2_q, original, 'did Smith live in Birmingham for a year'). +sent(s_298_2_q, swe, 'bodde Smith i Birmingham i ett år'). + +tree(s_298_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(for_a_year_Adv, [])])])])])). +sent(s_298_3_h, eng, 'Smith lived in Birmingham for a year'). +sent(s_298_3_h, original, 'Smith lived in Birmingham for a year'). +sent(s_298_3_h, swe, 'Smith bodde i Birmingham i ett år'). + +tree(s_299_1_p, s_298_1_p). +sent(s_299_1_p, eng, 'Smith lived in Birmingham for two years'). +sent(s_299_1_p, original, 'Smith lived in Birmingham for two years'). +sent(s_299_1_p, swe, 'Smith bodde i Birmingham i två år'). + +tree(s_299_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(for_exactly_a_year_Adv, [])])])])])])). +sent(s_299_2_q, eng, 'did Smith live in Birmingham for exactly a year'). +sent(s_299_2_q, original, 'did Smith live in Birmingham for exactly a year'). +sent(s_299_2_q, swe, 'bodde Smith i Birmingham i exakt ett år'). + +tree(s_299_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])]), t(for_exactly_a_year_Adv, [])])])])])). +sent(s_299_3_h, eng, 'Smith lived in Birmingham for exactly a year'). +sent(s_299_3_h, original, 'Smith lived in Birmingham for exactly a year'). +sent(s_299_3_h, swe, 'Smith bodde i Birmingham i exakt ett år'). + +tree(s_300_1_p, s_298_1_p). +sent(s_300_1_p, eng, 'Smith lived in Birmingham for two years'). +sent(s_300_1_p, original, 'Smith lived in Birmingham for two years'). +sent(s_300_1_p, swe, 'Smith bodde i Birmingham i två år'). + +tree(s_300_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])])])])])). +sent(s_300_2_q, eng, 'did Smith live in Birmingham'). +sent(s_300_2_q, original, 'did Smith live in Birmingham'). +sent(s_300_2_q, swe, 'bodde Smith i Birmingham'). + +tree(s_300_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseV', [t(live_V, [])]), t('PrepNP', [t(in_Prep, []), t('UsePN', [t(birmingham_PN, [])])])])])])])). +sent(s_300_3_h, eng, 'Smith lived in Birmingham'). +sent(s_300_3_h, original, 'Smith lived in Birmingham'). +sent(s_300_3_h, swe, 'Smith bodde i Birmingham'). + +tree(s_301_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])]), t(for_two_years_Adv, [])])])])])). +sent(s_301_1_p, eng, 'Smith ran his own business for two years'). +sent(s_301_1_p, original, 'Smith ran his own business for two years'). +sent(s_301_1_p, swe, 'Smith drev sin egna affärsverksamhet i två år'). + +tree(s_301_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])]), t(for_a_year_Adv, [])])])])])])). +sent(s_301_2_q, eng, 'did Smith run his own business for a year'). +sent(s_301_2_q, original, 'did Smith run his own business for a year'). +sent(s_301_2_q, swe, 'drev Smith sin egna affärsverksamhet i ett år'). + +tree(s_301_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(run_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(own_A, [])]), t('UseN', [t(business_N, [])])])])]), t(for_a_year_Adv, [])])])])])). +sent(s_301_3_h, eng, 'Smith ran his own business for a year'). +sent(s_301_3_h, original, 'Smith ran his own business for a year'). +sent(s_301_3_h, swe, 'Smith drev sin egna affärsverksamhet i ett år'). + +tree(s_302_1_p, s_301_1_p). +sent(s_302_1_p, eng, 'Smith ran his own business for two years'). +sent(s_302_1_p, original, 'Smith ran his own business for two years'). +sent(s_302_1_p, swe, 'Smith drev sin egna affärsverksamhet i två år'). + +tree(s_302_2_q, s_294_2_q). +sent(s_302_2_q, eng, 'did Smith run his own business'). +sent(s_302_2_q, original, 'did Smith run his own business'). +sent(s_302_2_q, swe, 'drev Smith sin egna affärsverksamhet'). + +tree(s_302_3_h, s_294_3_h). +sent(s_302_3_h, eng, 'Smith ran his own business'). +sent(s_302_3_h, original, 'Smith ran his own business'). +sent(s_302_3_h, swe, 'Smith drev sin egna affärsverksamhet'). + +tree(s_303_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(for_two_hours_Adv, [])])])])])). +sent(s_303_1_p, eng, 'Smith wrote a report for two hours'). +sent(s_303_1_p, original, 'Smith wrote a report for two hours'). +sent(s_303_1_p, swe, 'Smith skrev en rapport i två timmar'). + +tree(s_303_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(for_an_hour_Adv, [])])])])])])). +sent(s_303_2_q, eng, 'did Smith write a report for an hour'). +sent(s_303_2_q, original, 'did Smith write a report for an hour'). +sent(s_303_2_q, swe, 'skrev Smith en rapport i en timme'). + +tree(s_303_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])]), t(for_an_hour_Adv, [])])])])])). +sent(s_303_3_h, eng, 'Smith wrote a report for an hour'). +sent(s_303_3_h, original, 'Smith wrote a report for an hour'). +sent(s_303_3_h, swe, 'Smith skrev en rapport i en timme'). + +tree(s_304_1_p, s_303_1_p). +sent(s_304_1_p, eng, 'Smith wrote a report for two hours'). +sent(s_304_1_p, original, 'Smith wrote a report for two hours'). +sent(s_304_1_p, swe, 'Smith skrev en rapport i två timmar'). + +tree(s_304_2_q, s_288_2_q). +sent(s_304_2_q, eng, 'did Smith write a report'). +sent(s_304_2_q, original, 'did Smith write a report'). +sent(s_304_2_q, swe, 'skrev Smith en rapport'). + +tree(s_304_3_h, s_288_3_h). +sent(s_304_3_h, eng, 'Smith wrote a report'). +sent(s_304_3_h, original, 'Smith wrote a report'). +sent(s_304_3_h, swe, 'Smith skrev en rapport'). + +tree(s_305_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(for_an_hour_Adv, [])])])])])). +sent(s_305_1_p, eng, 'Smith discovered a new species for an hour'). +sent(s_305_1_p, original, 'Smith discovered a new species for an hour'). +sent(s_305_1_p, swe, 'Smith upptäckte en ny art i en timme'). + +tree(s_306_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])]), t(for_two_years_Adv, [])])])])])). +sent(s_306_1_p, eng, 'Smith discovered new species for two years'). +sent(s_306_1_p, original, 'Smith discovered new species for two years'). +sent(s_306_1_p, swe, 'Smith upptäckte nya arter i två år'). + +tree(s_306_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])])). +sent(s_306_2_q, eng, 'did Smith discover new species'). +sent(s_306_2_q, original, 'did Smith discover new species'). +sent(s_306_2_q, swe, 'upptäckte Smith nya arter'). + +tree(s_306_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(discover_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('AdjCN', [t('PositA', [t(new_A, [])]), t('UseN', [t(species_N, [])])])])])])])])). +sent(s_306_3_h, eng, 'Smith discovered new species'). +sent(s_306_3_h, original, 'Smith discovered new species'). +sent(s_306_3_h, swe, 'Smith upptäckte nya arter'). + +tree(s_307_1_p, t('Sentence', [t('AdvS', [t(in_1994_Adv, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(send_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(progress_report_N, [])])])]), t(every_month_Adv, [])])])])])])). +sent(s_307_1_p, eng, 'in 1994 ITEL sent a progress report every month'). +sent(s_307_1_p, original, 'in 1994 ITEL sent a progress report every month'). +sent(s_307_1_p, swe, '1994 skickade ITEL en statusrapport varje månad'). + +tree(s_307_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(send_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(progress_report_N, [])])])]), t(in_july_1994_Adv, [])])])])])])). +sent(s_307_2_q, eng, 'did ITEL send a progress report in July 1994'). +sent(s_307_2_q, original, 'did ITEL send a progress report in July 1994'). +sent(s_307_2_q, swe, 'skickade ITEL en statusrapport i juli 1994'). + +tree(s_307_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(send_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(progress_report_N, [])])])]), t(in_july_1994_Adv, [])])])])])). +sent(s_307_3_h, eng, 'ITEL sent a progress report in July 1994'). +sent(s_307_3_h, original, 'ITEL sent a progress report in July 1994'). +sent(s_307_3_h, swe, 'ITEL skickade en statusrapport i juli 1994'). + +tree(s_308_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(write_to_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(representative_N, [])])])]), t(every_week_Adv, [])])])])])). +sent(s_308_1_p, eng, 'Smith wrote to a representative every week'). +sent(s_308_1_p, original, 'Smith wrote to a representative every week'). +sent(s_308_1_p, swe, 'Smith skrev till en representant varje vecka'). + +tree(s_308_2_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('RelCN', [t('UseN', [t(representative_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('StrandRelSlash', [t(that_RP, []), t('SlashVP', [t('UsePN', [t(smith_PN, [])]), t('SlashV2a', [t(write_to_V2, [])])])])])]), t(every_week_Adv, [])])])])])])])). +sent(s_308_2_q, eng, 'is there a representative that Smith wrote to every week'). +sent(s_308_2_q, original, 'is there a representative that Smith wrote to every week'). +sent(s_308_2_q, swe, 'finns det en representant som Smith skrev till varje vecka'). + +tree(s_308_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('RelCN', [t('UseN', [t(representative_N, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('StrandRelSlash', [t(that_RP, []), t('SlashVP', [t('UsePN', [t(smith_PN, [])]), t('SlashV2a', [t(write_to_V2, [])])])])])]), t(every_week_Adv, [])])])])])])). +sent(s_308_3_h, eng, 'there is a representative that Smith wrote to every week'). +sent(s_308_3_h, original, 'there is a representative that Smith wrote to every week'). +sent(s_308_3_h, swe, 'det finns en representant som Smith skrev till varje vecka'). + +tree(s_309_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(house_N, [])])])]), t(at_a_quarter_past_five_Adv, [])])])])])). +sent(s_309_1_p, eng, 'Smith left the house at a quarter past five'). +sent(s_309_1_p, original, 'Smith left the house at a quarter past five'). +sent(s_309_1_p, swe, 'Smith lämnade huset kvart över fem'). + +tree(s_309_2_p, t('Sentence', [t('PredVPS', [t('UsePron', [t(she_Pron, [])]), t('ConjVPS2', [t(and_Conj, []), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(taxi_N, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(station_N, [])])])])])])]), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2a', [t(catch_V2, [])]), t('DetCN', [t('DetQuantOrd', [t('DefArt', []), t('NumSg', []), t('OrdNumeral', [t('N_one', [])])]), t('AdvCN', [t('UseN', [t(train_N, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(luxembourg_PN, [])])])])])])])])])). +sent(s_309_2_p, eng, 'she took a taxi to the station and caught the first train to Luxembourg'). +sent(s_309_2_p, original, 'she took a taxi to the station and caught the first train to Luxembourg'). +sent(s_309_2_p, swe, 'hon tog en taxi till stationen och kom med det första tåget till Luxemburg'). + +tree(s_310_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(lose_V2, [])]), t('DetCN', [t(somePl_Det, []), t('UseN', [t(file_N, [])])])])])])])). +sent(s_310_1_p, eng, 'Smith lost some files'). +sent(s_310_1_p, original, 'Smith lost some files'). +sent(s_310_1_p, swe, 'Smith förlorade några filer'). + +tree(s_310_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('AdvVP', [t('PassV2s', [t(destroy_V2, [])]), t('SubjS', [t(when_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('PossPron', [t(she_Pron, [])]), t('NumSg', [])]), t('UseN', [t(hard_disk_N, [])])]), t('UseV', [t(crash_V, [])])])])])])])])])). +sent(s_310_2_p, eng, 'they were destroyed when her hard disk crashed'). +sent(s_310_2_p, original, 'they were destroyed when her hard disk crashed'). +sent(s_310_2_p, swe, 'de förstördes när hennes hårddisk kraschade'). + +tree(s_311_1_p, t('Sentence', [t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(house_N, [])])])]), t(at_a_quarter_past_five_Adv, [])])])])])). +sent(s_311_1_p, eng, 'Smith had left the house at a quarter past five'). +sent(s_311_1_p, original, 'Smith had left the house at a quarter past five'). +sent(s_311_1_p, swe, 'Smith hade lämnat huset kvart över fem'). + +tree(s_311_2_p, t('PSentence', [t(then_PConj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(taxi_N, [])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(station_N, [])])])])])])])])])])). +sent(s_311_2_p, eng, 'then she took a taxi to the station'). +sent(s_311_2_p, original, 'then she took a taxi to the station'). +sent(s_311_2_p, swe, 'sedan hon tog en taxi till stationen'). + +tree(s_311_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(house_N, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(taxi_N, [])])])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(station_N, [])])])])])])])])])])])])])). +sent(s_311_3_q, eng, 'did Smith leave the house before she took a taxi to the station'). +sent(s_311_3_q, original, 'did Smith leave the house before she took a taxi to the station'). +sent(s_311_3_q, swe, 'lämnade Smith huset innan hon tog en taxi till stationen'). + +tree(s_311_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(house_N, [])])])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(take_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(taxi_N, [])])])]), t('PrepNP', [t(to_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(station_N, [])])])])])])])])])])])])). +sent(s_311_4_h, eng, 'Smith left the house before she took a taxi to the station'). +sent(s_311_4_h, original, 'Smith left the house before she took a taxi to the station'). +sent(s_311_4_h, swe, 'Smith lämnade huset innan hon tog en taxi till stationen'). + +tree(s_312_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdVVP', [t(always_AdV, []), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])]), t(late_Adv, [])])])])])])). +sent(s_312_1_p, eng, 'ITEL always delivers reports late'). +sent(s_312_1_p, original, 'ITEL always delivers reports late'). +sent(s_312_1_p, swe, 'ITEL lämnar alltid rapporter sent'). + +tree(s_312_2_p, t('Sentence', [t('AdvS', [t(in_1993_Adv, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])])])])])])). +sent(s_312_2_p, eng, 'in 1993 ITEL delivered reports'). +sent(s_312_2_p, original, 'in 1993 ITEL delivered reports'). +sent(s_312_2_p, swe, '1993 lämnade ITEL rapporter'). + +tree(s_312_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])]), t(late_Adv, [])]), t(in_1993_Adv, [])])])])])])). +sent(s_312_3_q, eng, 'did ITEL deliver reports late in 1993'). +sent(s_312_3_q, original, 'did ITEL deliver reports late in 1993'). +sent(s_312_3_q, swe, 'lämnade ITEL rapporter sent 1993'). + +tree(s_312_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])]), t(late_Adv, [])]), t(in_1993_Adv, [])])])])])). +sent(s_312_4_h, eng, 'ITEL delivered reports late in 1993'). +sent(s_312_4_h, original, 'ITEL delivered reports late in 1993'). +sent(s_312_4_h, swe, 'ITEL lämnade rapporter sent 1993'). + +tree(s_313_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdVVP', [t(never_AdV, []), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(deliver_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(report_N, [])])])]), t(late_Adv, [])])])])])])). +sent(s_313_1_p, eng, 'ITEL never delivers reports late'). +sent(s_313_1_p, original, 'ITEL never delivers reports late'). +sent(s_313_1_p, swe, 'ITEL lämnar aldrig rapporter sent'). + +tree(s_313_2_p, s_312_2_p). +sent(s_313_2_p, eng, 'in 1993 ITEL delivered reports'). +sent(s_313_2_p, original, 'in 1993 ITEL delivered reports'). +sent(s_313_2_p, swe, '1993 lämnade ITEL rapporter'). + +tree(s_313_3_q, s_312_3_q). +sent(s_313_3_q, eng, 'did ITEL deliver reports late in 1993'). +sent(s_313_3_q, original, 'did ITEL deliver reports late in 1993'). +sent(s_313_3_q, swe, 'lämnade ITEL rapporter sent 1993'). + +tree(s_313_4_h, s_312_4_h). +sent(s_313_4_h, eng, 'ITEL delivered reports late in 1993'). +sent(s_313_4_h, original, 'ITEL delivered reports late in 1993'). +sent(s_313_4_h, swe, 'ITEL lämnade rapporter sent 1993'). + +tree(s_314_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(arrive_in_V2, [])]), t('UsePN', [t(paris_PN, [])])]), t(on_the_5th_of_may_1995_Adv, [])])])])])). +sent(s_314_1_p, eng, 'Smith arrived in Paris on the 5th of May , 1995'). +sent(s_314_1_p, original, 'Smith arrived in Paris on the 5th of May , 1995'). +sent(s_314_1_p, swe, 'Smith anlände till Paris den 5:e maj 1995'). + +tree(s_314_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('MassNP', [t('UseN', [t(today_N, [])])]), t('UseComp', [t('CompAdv', [t(the_15th_of_may_1995_Adv, [])])])])])])). +sent(s_314_2_p, eng, 'today is the 15th of May , 1995'). +sent(s_314_2_p, original, 'today is the 15th of May , 1995'). +sent(s_314_2_p, swe, 'idag är den 15 maj 1995'). + +tree(s_314_3_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('AdVVP', [t(still_AdV, []), t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('UsePN', [t(paris_PN, [])])])])])])])])])). +sent(s_314_3_p, eng, 'she is still in Paris'). +sent(s_314_3_p, original, 'she is still in Paris'). +sent(s_314_3_p, swe, 'hon är fortfarande i Paris'). + +tree(s_314_4_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('UsePN', [t(paris_PN, [])])])])]), t(on_the_7th_of_may_1995_Adv, [])])])])])])). +sent(s_314_4_q, eng, 'was Smith in Paris on the 7th of May , 1995'). +sent(s_314_4_q, original, 'was Smith in Paris on the 7th of May , 1995'). +sent(s_314_4_q, swe, 'var Smith i Paris den 7:e maj 1995'). + +tree(s_314_5_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t('PrepNP', [t(in_Prep, []), t('UsePN', [t(paris_PN, [])])])])]), t(on_the_7th_of_may_1995_Adv, [])])])])])). +sent(s_314_5_h, eng, 'Smith was in Paris on the 7th of May , 1995'). +sent(s_314_5_h, original, 'Smith was in Paris on the 7th of May , 1995'). +sent(s_314_5_h, swe, 'Smith var i Paris den 7:e maj 1995'). + +tree(s_315_1_p, t('Sentence', [t('AdvS', [t('SubjS', [t(when_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(arrive_in_V2, [])]), t('UsePN', [t(katmandu_PN, [])])])])])]), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('AdvVP', [t('ProgrVPa', [t('UseV', [t(travel_V, [])])]), t(for_three_days_Adv, [])])])])])])). +sent(s_315_1_p, eng, 'when Smith arrived in Katmandu she had been travelling for three days'). +sent(s_315_1_p, original, 'when Smith arrived in Katmandu she had been travelling for three days'). +sent(s_315_1_p, swe, 'när Smith anlände till Katmandu hade hon rest i tre dagar'). + +sent(s_315_2_q, original, 'had Smith been travelling the day before she arrived in Katmandu'). + +sent(s_315_3_h, original, 'Smith had been travelling the day before she arrived in Katmandu'). + +tree(s_315_3_h_NEW, t('Sentence', [t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('UseV', [t(travel_V, [])])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(day_N, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('ComplSlash', [t('SlashV2a', [t(arrive_in_V2, [])]), t('UsePN', [t(katmandu_PN, [])])])])])])])])])])])])])). +sent(s_315_3_h_NEW, eng, 'Smith had been travelling on the day before she arrived in Katmandu'). +sent(s_315_3_h_NEW, original, 'Smith had been travelling on the day before she arrived in Katmandu'). +sent(s_315_3_h_NEW, swe, 'Smith hade rest på dagen innan hon anlände till Katmandu'). + +tree(s_316_1_p, t('Sentence', [t('PredVPS', [t('UsePN', [t(jones_PN, [])]), t('ConjVPS2', [t(and_Conj, []), t('Past', []), t('PPos', []), t('AdvVP', [t('UseV', [t(graduate_V, [])]), t(in_march_Adv, [])]), t('PresentPerfect', []), t('PPos', []), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(employed_A, [])])])]), t(ever_since_Adv, [])])])])])). +sent(s_316_1_p, eng, 'Jones graduated in March and has been employed ever since'). +sent(s_316_1_p, original, 'Jones graduated in March and has been employed ever since'). +sent(s_316_1_p, swe, 'Jones utexaminerades i mars och har varit anställd ända sedan dess'). + +tree(s_316_2_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(unemployed_A, [])])])]), t(in_the_past_Adv, [])])])])])). +sent(s_316_2_p, eng, 'Jones has been unemployed in the past'). +sent(s_316_2_p, original, 'Jones has been unemployed in the past'). +sent(s_316_2_p, swe, 'Jones har varit arbetslös tidigare'). + +tree(s_316_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(unemployed_A, [])])])]), t(at_some_time_Adv, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseV', [t(graduate_V, [])])])])])])])])])])). +sent(s_316_3_q, eng, 'was Jones unemployed at some time before he graduated'). +sent(s_316_3_q, original, 'was Jones unemployed at some time before he graduated'). +sent(s_316_3_q, swe, 'var Jones arbetslös vid någon tidpunkt innan han utexaminerades'). + +tree(s_316_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseComp', [t('CompAP', [t('PositA', [t(unemployed_A, [])])])]), t(at_some_time_Adv, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseV', [t(graduate_V, [])])])])])])])])])). +sent(s_316_4_h, eng, 'Jones was unemployed at some time before he graduated'). +sent(s_316_4_h, original, 'Jones was unemployed at some time before he graduated'). +sent(s_316_4_h, swe, 'Jones var arbetslös vid någon tidpunkt innan han utexaminerades'). + +tree(s_317_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t(every_Det, []), t('UseN', [t(representative_N, [])])]), t('ComplSlash', [t('SlashV2a', [t(read_V2, [])]), t('DetCN', [t('DetQuant', [t(this_Quant, []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])])])])). +sent(s_317_1_p, eng, 'every representative has read this report'). +sent(s_317_1_p, original, 'every representative has read this report'). +sent(s_317_1_p, swe, 'varje representant har läst den här rapporten'). + +tree(s_317_2_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumCard', [t('NumNumeral', [t('N_two', [])])])]), t('UseN', [t(representative_N, [])])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(read_V2, [])]), t('UsePron', [t(it_Pron, [])])]), t(at_the_same_time_Adv, [])])])])])). +sent(s_317_2_p, eng, 'no two representatives have read it at the same time'). +sent(s_317_2_p, original, 'no two representatives have read it at the same time'). +sent(s_317_2_p, swe, 'inga två representanter har läst det samtidigt'). + +tree(s_317_3_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t(no_Quant, []), t('NumSg', [])]), t('UseN', [t(representative_N, [])])]), t('ComplSlash', [t('SlashV2V', [t(take_V2V, []), t('ComplSlash', [t('SlashV2a', [t(read_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('AdNum', [t(less_than_AdN, []), t(half_a_Card, [])])])]), t('UseN', [t(day_N, [])])])])])])])). +sent(s_317_3_p, eng, 'no representative took less than half a day to read the report'). +sent(s_317_3_p, original, 'no representative took less than half a day to read the report'). +sent(s_317_3_p, swe, 'ingen representant tog mindre än en halv dag att läsa rapporten'). + +tree(s_317_4_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumCard', [t('NumNumeral', [t('N_sixteen', [])])])]), t('UseN', [t(representative_N, [])])])])])])). +sent(s_317_4_p, eng, 'there are sixteen representatives'). +sent(s_317_4_p, original, 'there are sixteen representatives'). +sent(s_317_4_p, swe, 'det finns sexton representanter'). + +tree(s_317_5_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ImpersCl', [t('ComplSlash', [t('SlashV2V', [t(take_V2V, []), t('ComplSlash', [t('SlashV2a', [t(read_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('ComparA', [t(many_A, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(week_N, [])])])]), t('UseN', [t(representative_N, [])])])])])])])])])). +sent(s_317_5_q, eng, 'did it take the representatives more than a week to read the report'). +sent(s_317_5_q, original, 'did it take the representatives more than a week to read the report'). +sent(s_317_5_q, swe, 'tog det de representanterna mer än en vecka att läsa rapporten'). + +tree(s_317_6_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('ImpersCl', [t('ComplSlash', [t('SlashV2V', [t(take_V2V, []), t('ComplSlash', [t('SlashV2a', [t(read_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(report_N, [])])])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumPl', [])]), t('AdjCN', [t('ComparA', [t(many_A, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(week_N, [])])])]), t('UseN', [t(representative_N, [])])])])])])])])). +sent(s_317_6_h, eng, 'it took the representatives more than a week to read the report'). +sent(s_317_6_h, original, 'it took the representatives more than a week to read the report'). +sent(s_317_6_h, swe, 'det tog de representanterna mer än en vecka att läsa rapporten'). + +tree(s_318_1_p, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(while_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(update_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(program_N, [])])])])])])])]), t('PredVPS', [t('UsePN', [t(mary_PN, [])]), t('ConjVPS2', [t(and_Conj, []), t('Past', []), t('PPos', []), t('UseV', [t(come_in_V, [])]), t('Past', []), t('PPos', []), t('ComplSlash', [t('Slash3V3', [t(tell_about_V3, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(board_meeting_N, [])])])]), t('UsePron', [t(he_Pron, [])])])])])])])). +sent(s_318_1_p, eng, 'while Jones was updating the program , Mary came in and told him about the board meeting'). +sent(s_318_1_p, original, 'while Jones was updating the program , Mary came in and told him about the board meeting'). +sent(s_318_1_p, swe, 'medan Jones uppdaterade programmet , kom in och berättade för honom om styrelsemötet Mary'). + +tree(s_318_2_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('AdvVP', [t('ComplVV', [t(finish_VV, []), t(elliptic_VP, [])]), t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplVV', [t(do_VV, []), t(elliptic_VP, [])])])])])])])])])). +sent(s_318_2_p, eng, 'she finished [..] before he did [..]'). +sent(s_318_2_p, original, 'she finished [..] before he did [..]'). +sent(s_318_2_p, swe, 'hon slutade att [..] innan han gjorde [..]'). + +sent(s_318_3_q, original, 'did Mary\'s story last as long as Jones\' updating the program'). + +sent(s_318_4_h, original, 'Mary\'s story lasted as long as Jones\' updating the program'). + +tree(s_319_1_p, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(before_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(itRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(present8current_A, [])]), t('UseN', [t(office_building_N, [])])])])])])])]), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('ImpersCl', [t('AdvVP', [t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(pay_V2, [])]), t('MassNP', [t('UseN', [t(mortgage_interest_N, [])])])])]), t('PrepNP', [t(on_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(previous_A, [])]), t('UseN', [t(one_N, [])])])])])]), t(for_8_years_Adv, [])])])])])])). +sent(s_319_1_p, eng, 'before APCOM bought its present office building , it had been paying mortgage interest on the previous one for 8 years'). +sent(s_319_1_p, original, 'before APCOM bought its present office building , it had been paying mortgage interest on the previous one for 8 years'). +sent(s_319_1_p, swe, 'innan APCOM köpte sin nuvarande kontorsbyggnad , hade det betalat hypoteksränta på den förra nen i 8 år'). + +tree(s_319_2_p, t('Sentence', [t('AdvS', [t('SubjS', [t(since_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(buy_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(itRefl_Pron, [])]), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(present8current_A, [])]), t('UseN', [t(office_building_N, [])])])])])])])]), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('ImpersCl', [t('AdvVP', [t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(pay_V2, [])]), t('MassNP', [t('UseN', [t(mortgage_interest_N, [])])])])]), t('PrepNP', [t(on_Prep, []), t('UsePron', [t(it_Pron, [])])])]), t(for_more_than_10_years_Adv, [])])])])])])). +sent(s_319_2_p, eng, 'since APCOM bought its present office building it has been paying mortgage interest on it for more than 10 years'). +sent(s_319_2_p, original, 'since APCOM bought its present office building it has been paying mortgage interest on it for more than 10 years'). +sent(s_319_2_p, swe, 'sedan APCOM köpte sin nuvarande kontorsbyggnad har det betalat hypoteksränta på det i mer än 10 år'). + +tree(s_319_3_q, t('Question', [t('UseQCl', [t('PresentPerfect', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(pay_V2, [])]), t('MassNP', [t('UseN', [t(mortgage_interest_N, [])])])])]), t(for_a_total_of_15_years_or_more_Adv, [])])])])])])). +sent(s_319_3_q, eng, 'has APCOM been paying mortgage interest for a total of 15 years or more'). +sent(s_319_3_q, original, 'has APCOM been paying mortgage interest for a total of 15 years or more'). +sent(s_319_3_q, swe, 'har APCOM betalat hypoteksränta i totalt 15 år eller mer'). + +tree(s_319_4_h, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(apcom_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(pay_V2, [])]), t('MassNP', [t('UseN', [t(mortgage_interest_N, [])])])])]), t(for_a_total_of_15_years_or_more_Adv, [])])])])])). +sent(s_319_4_h, eng, 'APCOM has been paying mortgage interest for a total of 15 years or more'). +sent(s_319_4_h, original, 'APCOM has been paying mortgage interest for a total of 15 years or more'). +sent(s_319_4_h, swe, 'APCOM har betalat hypoteksränta i totalt 15 år eller mer'). + +tree(s_320_1_p, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(when_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(get_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(job_N, [])]), t('PrepNP', [t(at_Prep, []), t('UsePN', [t(the_cia_PN, [])])])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('ComplVS', [t(know_VS, []), t('UseCl', [t('Conditional', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('AdVVP', [t(never_AdV, []), t('PassVPSlash', [t('SlashV2V', [t(allow_V2V, []), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(memoir_N, [])])])])])])])])])])])])])])). +sent(s_320_1_p, eng, 'when Jones got his job at the CIA , he knew that he would never be allowed to write his memoirs'). +sent(s_320_1_p, original, 'when Jones got his job at the CIA , he knew that he would never be allowed to write his memoirs'). + +sent(s_320_2_q, original, 'is it the case that Jones is not and will never be allowed to write his memoirs'). + +sent(s_320_3_h, original, 'it is the case that Jones is not and will never be allowed to write his memoirs'). + +tree(s_320_3_h_NEW, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ImpersCl', [t('AdvVP', [t('UseComp', [t('CompNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(case_N, [])])])])]), t('SubjS', [t(that_Subj, []), t('PredVPS', [t('UsePN', [t(jones_PN, [])]), t('ConjVPS2', [t(and_Conj, []), t('Present', []), t('UncNeg', []), t('PassVPSlash', [t(elliptic_VPSlash, [])]), t('Future', []), t('PPos', []), t('AdVVP', [t(never_AdV, []), t('PassVPSlash', [t('SlashV2V', [t(allow_V2V, []), t('ComplSlash', [t('SlashV2a', [t(write_V2, [])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumPl', [])]), t('UseN', [t(memoir_N, [])])])])])])])])])])])])])])). +sent(s_320_3_h_NEW, eng, 'it is the case that Jones is not [..] and never will be allowed to write his memoirs'). +sent(s_320_3_h_NEW, original, 'it is the case that Jones is not [..] and never will be allowed to write his memoirs'). + +tree(s_321_1_p, t('Sentence', [t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('UseComp', [t('CompAdv', [t('PrepNP', [t(to_Prep, []), t('UsePN', [t(florence_PN, [])])])])]), t(twice_Adv, [])]), t(in_the_past_Adv, [])])])])])). +sent(s_321_1_p, eng, 'Smith has been to Florence twice in the past'). +sent(s_321_1_p, original, 'Smith has been to Florence twice in the past'). +sent(s_321_1_p, swe, 'Smith har varit till Florens två gånger tidigare'). + +tree(s_321_2_p, t('Sentence', [t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('AdvVP', [t('AdvVP', [t('UseV', [t(go8travel_V, [])]), t('PrepNP', [t(to_Prep, []), t('UsePN', [t(florence_PN, [])])])]), t(twice_Adv, [])]), t(in_the_coming_year_Adv, [])])])])])). +sent(s_321_2_p, eng, 'Smith will go to Florence twice in the coming year'). +sent(s_321_2_p, original, 'Smith will go to Florence twice in the coming year'). +sent(s_321_2_p, swe, 'Smith ska åka till Florens två gånger under det kommande året'). + +sent(s_321_3_q, original, 'two years from now will Smith have been to Florence at least four times'). + +tree(s_321_4_h, t('Sentence', [t('AdvS', [t(two_years_from_now_Adv, []), t('UseCl', [t('FuturePerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('AdvVP', [t('UseComp', [t('CompAdv', [t('PrepNP', [t(to_Prep, []), t('UsePN', [t(florence_PN, [])])])])]), t(at_least_four_times, [])])])])])])). +sent(s_321_4_h, eng, 'two years from now Smith will have been to Florence at least four times'). +sent(s_321_4_h, original, 'two years from now Smith will have been to Florence at least four times'). +sent(s_321_4_h, swe, 'om två år ska Smith ha varit till Florens minst fyra gånger'). + +sent(s_322_1_p, original, 'last week I already knew that when , in a month\'s time , Smith would discover that she had been duped she would be furious'). + +tree(s_322_1_p_NEW, t('Sentence', [t('AdvS', [t(last_week_Adv, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePron', [t(i_Pron, [])]), t('AdVVP', [t(already_AdV, []), t('ComplVS', [t(know_VS, []), t('ExtAdvS', [t('SubjS', [t(when_Subj, []), t('ExtAdvS', [t(in_a_months_time_Adv, []), t('UseCl', [t('Conditional', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVS', [t(discover_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('PassV2', [t(dupe_V2, [])])])])])])])])]), t('UseCl', [t('Conditional', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(furious_A, [])])])])])])])])])])])])])). +sent(s_322_1_p_NEW, eng, 'last week I already knew that when in a month\'s time , Smith would discover that she had been duped , she would be furious'). +sent(s_322_1_p_NEW, original, 'last week I already knew that when in a month\'s time , Smith would discover that she had been duped , she would be furious'). +sent(s_322_1_p_NEW, swe, 'förra veckan visste jag redan att när om en månad , skulle Smith upptäcka att hon hade blivit lurad , skulle hon vara rasande'). + +sent(s_322_2_q, original, 'will it be the case that in a few weeks Smith will discover that she has been duped; and will she be furious'). + +tree(s_322_3_h, t('Sentence', [t('UseCl', [t('Future', []), t('PPos', []), t('ImpersCl', [t('AdvVP', [t('UseComp', [t('CompNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(case_N, [])])])])]), t('SubjS', [t(that_Subj, []), t('ConjS2', [t(semicolon_and_Conj, []), t('AdvS', [t(in_a_few_weeks_Adv, []), t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVS', [t(discover_VS, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('PassV2', [t(dupe_V2, [])])])])])])])]), t('UseCl', [t('Future', []), t('PPos', []), t('PredVP', [t('UsePron', [t(she_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(furious_A, [])])])])])])])])])])])])). +sent(s_322_3_h, eng, 'it will be the case that in a few weeks Smith will discover that she has been duped ; and she will be furious'). +sent(s_322_3_h, original, 'it will be the case that in a few weeks Smith will discover that she has been duped; and she will be furious'). +sent(s_322_3_h, swe, 'det ska vara fallet att om några veckor ska Smith upptäcka att hon har blivit lurad ; och hon ska vara rasande'). + +sent(s_323_1_p, original, 'no one gambling seriously stops until he is broke'). + +tree(s_323_1_p_NEW, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('RelNPa', [t('UsePron', [t(no_one_Pron, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('AdvVP', [t('ProgrVPa', [t('UseV', [t(gamble_V, [])])]), t('PositAdvAdj', [t(serious_A, [])])])])])]), t('AdvVP', [t('UseV', [t(stop_V, [])]), t('SubjS', [t(until_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(broke_A, [])])])])])])])])])])])). +sent(s_323_1_p_NEW, eng, 'no one who is gambling seriously stops until he is broke'). +sent(s_323_1_p_NEW, original, 'no one who is gambling seriously stops until he is broke'). +sent(s_323_1_p_NEW, swe, 'ingen som spelar seriöst slutar förrän han är pank'). + +tree(s_323_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(no_one_Pron, [])]), t('ComplVV', [t(can_VV, []), t('AdvVP', [t('UseV', [t(gamble_V, [])]), t('SubjS', [t(when_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(broke_A, [])])])])])])])])])])])])). +sent(s_323_2_p, eng, 'no one can gamble when he is broke'). +sent(s_323_2_p, original, 'no one can gamble when he is broke'). +sent(s_323_2_p, swe, 'ingen kan spela när han är pank'). + +sent(s_323_3_q, original, 'does everyone who starts gambling seriously stop the moment he is broke'). + +sent(s_323_4_h, original, 'everyone who starts gambling seriously stops the moment he is broke'). + +tree(s_323_4_h_NEW, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('RelNPa', [t('UsePron', [t(everyone_Pron, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(start_VV, []), t('AdvVP', [t('UseV', [t(gamble_V, [])]), t('PositAdvAdj', [t(serious_A, [])])])])])])]), t('AdvVP', [t('UseV', [t(stop_V, [])]), t('PrepNP', [t(at_Prep, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdvCN', [t('UseN', [t(moment_N, [])]), t('SubjS', [t(when_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(broke_A, [])])])])])])])])])])])])])])). +sent(s_323_4_h_NEW, eng, 'everyone who starts gambling seriously stops at the moment when he is broke'). +sent(s_323_4_h_NEW, original, 'everyone who starts gambling seriously stops at the moment when he is broke'). +sent(s_323_4_h_NEW, swe, 'alla som börjar spela seriöst slutar på ögonblicket när han är pank'). + +tree(s_324_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('RelNPa', [t('UsePron', [t(no_one_Pron, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(start_VV, []), t('AdvVP', [t('UseV', [t(gamble_V, [])]), t('PositAdvAdj', [t(serious_A, [])])])])])])]), t('AdvVP', [t('UseV', [t(stop_V, [])]), t('SubjS', [t(until_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(broke_A, [])])])])])])])])])])])). +sent(s_324_1_p, eng, 'no one who starts gambling seriously stops until he is broke'). +sent(s_324_1_p, original, 'no one who starts gambling seriously stops until he is broke'). +sent(s_324_1_p, swe, 'ingen som börjar spela seriöst slutar förrän han är pank'). + +sent(s_324_2_q, original, 'does everyone who starts gambling seriously continue until he is broke'). + +tree(s_324_3_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('RelNPa', [t('UsePron', [t(everyone_Pron, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('ComplVV', [t(start_VV, []), t('AdvVP', [t('UseV', [t(gamble_V, [])]), t('PositAdvAdj', [t(serious_A, [])])])])])])]), t('AdvVP', [t('UseV', [t(continue_V, [])]), t('SubjS', [t(until_Subj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(broke_A, [])])])])])])])])])])])). +sent(s_324_3_h, eng, 'everyone who starts gambling seriously continues until he is broke'). +sent(s_324_3_h, original, 'everyone who starts gambling seriously continues until he is broke'). +sent(s_324_3_h, swe, 'alla som börjar spela seriöst fortsätter förrän han är pank'). + +tree(s_325_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('RelNPa', [t('UsePron', [t(nobody_Pron, [])]), t('UseRCl', [t('Present', []), t('PPos', []), t('RelVP', [t('IdRP', []), t('UseComp', [t('CompAP', [t('PositA', [t(asleep_A, [])])])])])])]), t('AdVVP', [t(ever_AdV, []), t('ComplVS', [t(know_VS, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePron', [t(he_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(asleep_A, [])])])])])])])])])])])). +sent(s_325_1_p, eng, 'nobody who is asleep ever knows that he is asleep'). +sent(s_325_1_p, original, 'nobody who is asleep ever knows that he is asleep'). +sent(s_325_1_p, swe, 'ingen som är sovande vet någonsin att han är sovande'). + +tree(s_325_2_p, t('PSentence', [t(but_PConj, []), t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(person_N, [])])]), t('AdvVP', [t('ComplVS', [t(know_VS, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(asleep_A, [])])])])])])]), t('SubjS', [t(after_Subj, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(asleep_A, [])])])])])])])])])])])). +sent(s_325_2_p, eng, 'but some people know that they have been asleep after they have been asleep'). +sent(s_325_2_p, original, 'but some people know that they have been asleep after they have been asleep'). +sent(s_325_2_p, swe, 'men några människor vet att de har varit sovande efter det att de har varit sovande'). + +tree(s_325_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(person_N, [])])]), t('ComplVS', [t(discover_VS, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(asleep_A, [])])])])])])])])])])])). +sent(s_325_3_q, eng, 'do some people discover that they have been asleep'). +sent(s_325_3_q, original, 'do some people discover that they have been asleep'). +sent(s_325_3_q, swe, 'upptäcker några människor att de har varit sovande'). + +tree(s_325_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t(somePl_Det, []), t('UseN', [t(person_N, [])])]), t('ComplVS', [t(discover_VS, []), t('UseCl', [t('PresentPerfect', []), t('PPos', []), t('PredVP', [t('UsePron', [t(they_Pron, [])]), t('UseComp', [t('CompAP', [t('PositA', [t(asleep_A, [])])])])])])])])])])). +sent(s_325_4_h, eng, 'some people discover that they have been asleep'). +sent(s_325_4_h, original, 'some people discover that they have been asleep'). +sent(s_325_4_h, swe, 'några människor upptäcker att de har varit sovande'). + +tree(s_326_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(build_V2, [])]), t('UsePN', [t(mtalk_PN, [])])]), t(in_1993_Adv, [])])])])])). +sent(s_326_1_p, eng, 'ITEL built MTALK in 1993'). +sent(s_326_1_p, original, 'ITEL built MTALK in 1993'). +sent(s_326_1_p, swe, 'ITEL tillverkade MTALK 1993'). + +tree(s_326_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('UsePN', [t(mtalk_PN, [])])]), t(in_1993_Adv, [])])])])])])). +sent(s_326_2_q, eng, 'did ITEL finish MTALK in 1993'). +sent(s_326_2_q, original, 'did ITEL finish MTALK in 1993'). +sent(s_326_2_q, swe, 'slutförde ITEL MTALK 1993'). + +tree(s_326_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(finish_V2, [])]), t('UsePN', [t(mtalk_PN, [])])]), t(in_1993_Adv, [])])])])])). +sent(s_326_3_h, eng, 'ITEL finished MTALK in 1993'). +sent(s_326_3_h, original, 'ITEL finished MTALK in 1993'). +sent(s_326_3_h, swe, 'ITEL slutförde MTALK 1993'). + +tree(s_327_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(build_V2, [])]), t('UsePN', [t(mtalk_PN, [])])])]), t(in_1993_Adv, [])])])])])). +sent(s_327_1_p, eng, 'ITEL was building MTALK in 1993'). +sent(s_327_1_p, original, 'ITEL was building MTALK in 1993'). +sent(s_327_1_p, swe, 'ITEL tillverkade MTALK 1993'). + +tree(s_327_2_q, s_326_2_q). +sent(s_327_2_q, eng, 'did ITEL finish MTALK in 1993'). +sent(s_327_2_q, original, 'did ITEL finish MTALK in 1993'). +sent(s_327_2_q, swe, 'slutförde ITEL MTALK 1993'). + +tree(s_327_3_h, s_326_3_h). +sent(s_327_3_h, eng, 'ITEL finished MTALK in 1993'). +sent(s_327_3_h, original, 'ITEL finished MTALK in 1993'). +sent(s_327_3_h, swe, 'ITEL slutförde MTALK 1993'). + +tree(s_328_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(apcom_PN, [])])])]), t(in_1993_Adv, [])])])])])). +sent(s_328_1_p, eng, 'ITEL won the contract from APCOM in 1993'). +sent(s_328_1_p, original, 'ITEL won the contract from APCOM in 1993'). +sent(s_328_1_p, swe, 'ITEL vann kontraktet från APCOM 1993'). + +tree(s_328_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1993_Adv, [])])])])])])). +sent(s_328_2_q, eng, 'did ITEL win a contract in 1993'). +sent(s_328_2_q, original, 'did ITEL win a contract in 1993'). +sent(s_328_2_q, swe, 'vann ITEL ett kontrakt 1993'). + +tree(s_328_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1993_Adv, [])])])])])). +sent(s_328_3_h, eng, 'ITEL won a contract in 1993'). +sent(s_328_3_h, original, 'ITEL won a contract in 1993'). +sent(s_328_3_h, swe, 'ITEL vann ett kontrakt 1993'). + +tree(s_329_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('AdvVP', [t('ProgrVPa', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('PrepNP', [t(from_Prep, []), t('UsePN', [t(apcom_PN, [])])])]), t(in_1993_Adv, [])])])])])). +sent(s_329_1_p, eng, 'ITEL was winning the contract from APCOM in 1993'). +sent(s_329_1_p, original, 'ITEL was winning the contract from APCOM in 1993'). +sent(s_329_1_p, swe, 'ITEL vann kontraktet från APCOM 1993'). + +tree(s_329_2_q, s_328_2_q). +sent(s_329_2_q, eng, 'did ITEL win a contract in 1993'). +sent(s_329_2_q, original, 'did ITEL win a contract in 1993'). +sent(s_329_2_q, swe, 'vann ITEL ett kontrakt 1993'). + +tree(s_329_3_h, s_328_3_h). +sent(s_329_3_h, eng, 'ITEL won a contract in 1993'). +sent(s_329_3_h, original, 'ITEL won a contract in 1993'). +sent(s_329_3_h, swe, 'ITEL vann ett kontrakt 1993'). + +tree(s_330_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('UsePN', [t(apcom_PN, [])])]), t(from_1988_to_1992_Adv, [])])])])])). +sent(s_330_1_p, eng, 'ITEL owned APCOM from 1988 to 1992'). +sent(s_330_1_p, original, 'ITEL owned APCOM from 1988 to 1992'). +sent(s_330_1_p, swe, 'ITEL ägde APCOM från 1988 till 1992'). + +tree(s_330_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('UsePN', [t(apcom_PN, [])])]), t(in_1990_Adv, [])])])])])])). +sent(s_330_2_q, eng, 'did ITEL own APCOM in 1990'). +sent(s_330_2_q, original, 'did ITEL own APCOM in 1990'). +sent(s_330_2_q, swe, 'ägde ITEL APCOM 1990'). + +tree(s_330_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(own_V2, [])]), t('UsePN', [t(apcom_PN, [])])]), t(in_1990_Adv, [])])])])])). +sent(s_330_3_h, eng, 'ITEL owned APCOM in 1990'). +sent(s_330_3_h, original, 'ITEL owned APCOM in 1990'). +sent(s_330_3_h, swe, 'ITEL ägde APCOM 1990'). + +tree(s_331_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP2', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(jones_PN, [])])]), t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_331_1_p, eng, 'Smith and Jones left the meeting'). +sent(s_331_1_p, original, 'Smith and Jones left the meeting'). +sent(s_331_1_p, swe, 'Smith och Jones lämnade mötet'). + +tree(s_331_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_331_2_q, eng, 'did Smith leave the meeting'). +sent(s_331_2_q, original, 'did Smith leave the meeting'). +sent(s_331_2_q, swe, 'lämnade Smith mötet'). + +tree(s_331_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_331_3_h, eng, 'Smith left the meeting'). +sent(s_331_3_h, original, 'Smith left the meeting'). +sent(s_331_3_h, swe, 'Smith lämnade mötet'). + +tree(s_332_1_p, s_331_1_p). +sent(s_332_1_p, eng, 'Smith and Jones left the meeting'). +sent(s_332_1_p, original, 'Smith and Jones left the meeting'). +sent(s_332_1_p, swe, 'Smith och Jones lämnade mötet'). + +tree(s_332_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])])). +sent(s_332_2_q, eng, 'did Jones leave the meeting'). +sent(s_332_2_q, original, 'did Jones leave the meeting'). +sent(s_332_2_q, swe, 'lämnade Jones mötet'). + +tree(s_332_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(leave_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(meeting_N, [])])])])])])])). +sent(s_332_3_h, eng, 'Jones left the meeting'). +sent(s_332_3_h, original, 'Jones left the meeting'). +sent(s_332_3_h, swe, 'Jones lämnade mötet'). + +tree(s_333_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('ConjNP3', [t(and_Conj, []), t('UsePN', [t(smith_PN, [])]), t('UsePN', [t(anderson_PN, [])]), t('UsePN', [t(jones_PN, [])])]), t('UseV', [t(meet_V, [])])])])])). +sent(s_333_1_p, eng, 'Smith , Anderson and Jones met'). +sent(s_333_1_p, original, 'Smith , Anderson and Jones met'). +sent(s_333_1_p, swe, 'Smith , Anderson och Jones träffades'). + +tree(s_333_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('RelCN', [t('ComplN2', [t(group_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(person_N, [])])])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t(that_RP, []), t('UseV', [t(meet_V, [])])])])])])])])])])). +sent(s_333_2_q, eng, 'was there a group of people that met'). +sent(s_333_2_q, original, 'was there a group of people that met'). +sent(s_333_2_q, swe, 'fanns det en grupp människor som träffades'). + +tree(s_333_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('ExistNP', [t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('RelCN', [t('ComplN2', [t(group_N2, []), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumPl', [])]), t('UseN', [t(person_N, [])])])]), t('UseRCl', [t('Past', []), t('PPos', []), t('RelVP', [t(that_RP, []), t('UseV', [t(meet_V, [])])])])])])])])])). +sent(s_333_3_h, eng, 'there was a group of people that met'). +sent(s_333_3_h, original, 'there was a group of people that met'). +sent(s_333_3_h, swe, 'det fanns en grupp människor som träffades'). + +tree(s_334_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVS', [t(know_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1992_Adv, [])])])])])])])])). +sent(s_334_1_p, eng, 'Smith knew that ITEL had won the contract in 1992'). +sent(s_334_1_p, original, 'Smith knew that ITEL had won the contract in 1992'). +sent(s_334_1_p, swe, 'Smith visste att ITEL hade vunnit kontraktet 1992'). + +tree(s_334_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1992_Adv, [])])])])])])). +sent(s_334_2_q, eng, 'did ITEL win the contract in 1992'). +sent(s_334_2_q, original, 'did ITEL win the contract in 1992'). +sent(s_334_2_q, swe, 'vann ITEL kontraktet 1992'). + +tree(s_334_3_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1992_Adv, [])])])])])). +sent(s_334_3_h, eng, 'ITEL won the contract in 1992'). +sent(s_334_3_h, original, 'ITEL won the contract in 1992'). +sent(s_334_3_h, swe, 'ITEL vann kontraktet 1992'). + +tree(s_335_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVS', [t(believe_VS, []), t('UseCl', [t('PastPerfect', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1992_Adv, [])])])])])])])])). +sent(s_335_1_p, eng, 'Smith believed that ITEL had won the contract in 1992'). +sent(s_335_1_p, original, 'Smith believed that ITEL had won the contract in 1992'). +sent(s_335_1_p, swe, 'Smith trodde att ITEL hade vunnit kontraktet 1992'). + +tree(s_335_2_q, s_334_2_q). +sent(s_335_2_q, eng, 'did ITEL win the contract in 1992'). +sent(s_335_2_q, original, 'did ITEL win the contract in 1992'). +sent(s_335_2_q, swe, 'vann ITEL kontraktet 1992'). + +tree(s_335_3_h, s_334_3_h). +sent(s_335_3_h, eng, 'ITEL won the contract in 1992'). +sent(s_335_3_h, original, 'ITEL won the contract in 1992'). +sent(s_335_3_h, swe, 'ITEL vann kontraktet 1992'). + +tree(s_336_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplVV', [t(manage_VV, []), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t(in_1992_Adv, [])])])])])). +sent(s_336_1_p, eng, 'ITEL managed to win the contract in 1992'). +sent(s_336_1_p, original, 'ITEL managed to win the contract in 1992'). +sent(s_336_1_p, swe, 'ITEL lyckades att vinna kontraktet 1992'). + +tree(s_336_2_q, s_334_2_q). +sent(s_336_2_q, eng, 'did ITEL win the contract in 1992'). +sent(s_336_2_q, original, 'did ITEL win the contract in 1992'). +sent(s_336_2_q, swe, 'vann ITEL kontraktet 1992'). + +tree(s_336_3_h, s_334_3_h). +sent(s_336_3_h, eng, 'ITEL won the contract in 1992'). +sent(s_336_3_h, original, 'ITEL won the contract in 1992'). +sent(s_336_3_h, swe, 'ITEL vann kontraktet 1992'). + +tree(s_337_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplVV', [t(try_VV, []), t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t(in_1992_Adv, [])])])])])). +sent(s_337_1_p, eng, 'ITEL tried to win the contract in 1992'). +sent(s_337_1_p, original, 'ITEL tried to win the contract in 1992'). +sent(s_337_1_p, swe, 'ITEL försökte att vinna kontraktet 1992'). + +tree(s_337_2_q, s_334_2_q). +sent(s_337_2_q, eng, 'did ITEL win the contract in 1992'). +sent(s_337_2_q, original, 'did ITEL win the contract in 1992'). +sent(s_337_2_q, swe, 'vann ITEL kontraktet 1992'). + +tree(s_337_3_h, s_334_3_h). +sent(s_337_3_h, eng, 'ITEL won the contract in 1992'). +sent(s_337_3_h, original, 'ITEL won the contract in 1992'). +sent(s_337_3_h, swe, 'ITEL vann kontraktet 1992'). + +tree(s_338_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ImpersCl', [t('UseComp', [t('CompAP', [t('SentAP', [t('PositA', [t(true_A, [])]), t('EmbedS', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1992_Adv, [])])])])])])])])])])])). +sent(s_338_1_p, eng, 'it is true that ITEL won the contract in 1992'). +sent(s_338_1_p, original, 'it is true that ITEL won the contract in 1992'). +sent(s_338_1_p, swe, 'det är sant att ITEL vann kontraktet 1992'). + +tree(s_338_2_q, s_334_2_q). +sent(s_338_2_q, eng, 'did ITEL win the contract in 1992'). +sent(s_338_2_q, original, 'did ITEL win the contract in 1992'). +sent(s_338_2_q, swe, 'vann ITEL kontraktet 1992'). + +tree(s_338_3_h, s_334_3_h). +sent(s_338_3_h, eng, 'ITEL won the contract in 1992'). +sent(s_338_3_h, original, 'ITEL won the contract in 1992'). +sent(s_338_3_h, swe, 'ITEL vann kontraktet 1992'). + +tree(s_339_1_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ImpersCl', [t('UseComp', [t('CompAP', [t('SentAP', [t('PositA', [t(false_A, [])]), t('EmbedS', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(itel_PN, [])]), t('AdvVP', [t('ComplSlash', [t('SlashV2a', [t(win_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])]), t(in_1992_Adv, [])])])])])])])])])])])). +sent(s_339_1_p, eng, 'it is false that ITEL won the contract in 1992'). +sent(s_339_1_p, original, 'it is false that ITEL won the contract in 1992'). +sent(s_339_1_p, swe, 'det är inte sant att ITEL vann kontraktet 1992'). + +tree(s_339_2_q, s_334_2_q). +sent(s_339_2_q, eng, 'did ITEL win the contract in 1992'). +sent(s_339_2_q, original, 'did ITEL win the contract in 1992'). +sent(s_339_2_q, swe, 'vann ITEL kontraktet 1992'). + +tree(s_339_3_h, s_334_3_h). +sent(s_339_3_h, eng, 'ITEL won the contract in 1992'). +sent(s_339_3_h, original, 'ITEL won the contract in 1992'). +sent(s_339_3_h, swe, 'ITEL vann kontraktet 1992'). + +tree(s_340_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('UsePN', [t(jones_PN, [])])])])])])). +sent(s_340_1_p, eng, 'Smith saw Jones sign the contract'). +sent(s_340_1_p, original, 'Smith saw Jones sign the contract'). +sent(s_340_1_p, swe, 'Smith såg Jones underteckna kontraktet'). + +tree(s_340_2_p, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(if_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('PossPron', [t(he_Pron, [])]), t('NumSg', [])]), t('UseN', [t(heart_N, [])])]), t('ProgrVPa', [t('UseV', [t(beat_V, [])])])])])])])). +sent(s_340_2_p, eng, 'if Jones signed the contract , his heart was beating'). +sent(s_340_2_p, original, 'if Jones signed the contract , his heart was beating'). +sent(s_340_2_p, swe, 'om Jones undertecknade kontraktet , slog hans hjärta'). + +tree(s_340_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('UseV', [t(beat_V, [])])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(heart_N, [])])])])])])])])). +sent(s_340_3_q, eng, 'did Smith see Jones\' heart beat'). +sent(s_340_3_q, original, 'did Smith see Jones\' heart beat'). +sent(s_340_3_q, swe, 'såg Smith Jones hjärta slå'). + +tree(s_340_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('UseV', [t(beat_V, [])])]), t('DetCN', [t('DetQuant', [t('GenNP', [t('UsePN', [t(jones_PN, [])])]), t('NumSg', [])]), t('UseN', [t(heart_N, [])])])])])])])). +sent(s_340_4_h, eng, 'Smith saw Jones\' heart beat'). +sent(s_340_4_h, original, 'Smith saw Jones\' heart beat'). +sent(s_340_4_h, swe, 'Smith såg Jones hjärta slå'). + +tree(s_341_1_p, s_340_1_p). +sent(s_341_1_p, eng, 'Smith saw Jones sign the contract'). +sent(s_341_1_p, original, 'Smith saw Jones sign the contract'). +sent(s_341_1_p, swe, 'Smith såg Jones underteckna kontraktet'). + +tree(s_341_2_p, t('Sentence', [t('ExtAdvS', [t('SubjS', [t(when_Subj, []), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])])])]), t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('PossPron', [t(he_Pron, [])]), t('NumSg', [])]), t('UseN', [t(heart_N, [])])]), t('ProgrVPa', [t('UseV', [t(beat_V, [])])])])])])])). +sent(s_341_2_p, eng, 'when Jones signed the contract , his heart was beating'). +sent(s_341_2_p, original, 'when Jones signed the contract , his heart was beating'). +sent(s_341_2_p, swe, 'när Jones undertecknade kontraktet , slog hans hjärta'). + +tree(s_341_3_q, s_340_3_q). +sent(s_341_3_q, eng, 'did Smith see Jones\' heart beat'). +sent(s_341_3_q, original, 'did Smith see Jones\' heart beat'). +sent(s_341_3_q, swe, 'såg Smith Jones hjärta slå'). + +tree(s_341_4_h, s_340_4_h). +sent(s_341_4_h, eng, 'Smith saw Jones\' heart beat'). +sent(s_341_4_h, original, 'Smith saw Jones\' heart beat'). +sent(s_341_4_h, swe, 'Smith såg Jones hjärta slå'). + +tree(s_342_1_p, s_341_1_p). +sent(s_342_1_p, eng, 'Smith saw Jones sign the contract'). +sent(s_342_1_p, original, 'Smith saw Jones sign the contract'). +sent(s_342_1_p, swe, 'Smith såg Jones underteckna kontraktet'). + +tree(s_342_2_q, s_081_2_q). +sent(s_342_2_q, eng, 'did Jones sign the contract'). +sent(s_342_2_q, original, 'did Jones sign the contract'). +sent(s_342_2_q, swe, 'undertecknade Jones kontraktet'). + +tree(s_342_3_h, s_081_3_h). +sent(s_342_3_h, eng, 'Jones signed the contract'). +sent(s_342_3_h, original, 'Jones signed the contract'). +sent(s_342_3_h, swe, 'Jones undertecknade kontraktet'). + +tree(s_343_1_p, s_341_1_p). +sent(s_343_1_p, eng, 'Smith saw Jones sign the contract'). +sent(s_343_1_p, original, 'Smith saw Jones sign the contract'). +sent(s_343_1_p, swe, 'Smith såg Jones underteckna kontraktet'). + +tree(s_343_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('UsePN', [t(jones_PN, [])]), t('UseComp', [t('CompNP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(chairman_N2, []), t('UsePN', [t(itel_PN, [])])])])])])])])])). +sent(s_343_2_p, eng, 'Jones is the chairman of ITEL'). +sent(s_343_2_p, original, 'Jones is the chairman of ITEL'). +sent(s_343_2_p, swe, 'Jones är ordföranden för ITEL'). + +tree(s_343_3_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(chairman_N2, []), t('UsePN', [t(itel_PN, [])])])])])])])])])). +sent(s_343_3_q, eng, 'did Smith see the chairman of ITEL sign the contract'). +sent(s_343_3_q, original, 'did Smith see the chairman of ITEL sign the contract'). +sent(s_343_3_q, swe, 'såg Smith ordföranden för ITEL underteckna kontraktet'). + +tree(s_343_4_h, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(chairman_N2, []), t('UsePN', [t(itel_PN, [])])])])])])])])). +sent(s_343_4_h, eng, 'Smith saw the chairman of ITEL sign the contract'). +sent(s_343_4_h, original, 'Smith saw the chairman of ITEL sign the contract'). +sent(s_343_4_h, swe, 'Smith såg ordföranden för ITEL underteckna kontraktet'). + +tree(s_344_1_p, t('Sentence', [t('UseCl', [t('Past', []), t('PPos', []), t('PredVP', [t('UsePN', [t(helen_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(answer_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(phone_N, [])])])])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(chairman_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(department_N, [])])])])])])])])])). +sent(s_344_1_p, eng, 'Helen saw the chairman of the department answer the phone'). +sent(s_344_1_p, original, 'Helen saw the chairman of the department answer the phone'). +sent(s_344_1_p, swe, 'Helen såg ordföranden för avdelningen svara i telefonen'). + +tree(s_344_2_p, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('PredVP', [t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('ComplN2', [t(chairman_N2, []), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(department_N, [])])])])]), t('UseComp', [t('CompCN', [t('UseN', [t(person_N, [])])])])])])])). +sent(s_344_2_p, eng, 'the chairman of the department is a person'). +sent(s_344_2_p, original, 'the chairman of the department is a person'). +sent(s_344_2_p, swe, 'ordföranden för avdelningen är en människa'). + +tree(s_344_3_q, t('Question', [t('UseQCl', [t('Present', []), t('PPos', []), t('QuestCl', [t('ExistNP', [t('RelNPa', [t('UsePron', [t(anyone_Pron, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('StrandRelSlash', [t('IdRP', []), t('SlashVP', [t('UsePN', [t(helen_PN, [])]), t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(answer_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(phone_N, [])])])])])])])])])])])])])). +sent(s_344_3_q, eng, 'is there anyone whom Helen saw answer the phone'). +sent(s_344_3_q, original, 'is there anyone whom Helen saw answer the phone'). +sent(s_344_3_q, swe, 'finns det någon som Helen såg'). + +tree(s_344_4_h, t('Sentence', [t('UseCl', [t('Present', []), t('PPos', []), t('ExistNP', [t('RelNPa', [t('UsePron', [t(someone_Pron, [])]), t('UseRCl', [t('Past', []), t('PPos', []), t('StrandRelSlash', [t('IdRP', []), t('SlashVP', [t('UsePN', [t(helen_PN, [])]), t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(answer_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(phone_N, [])])])])])])])])])])])])). +sent(s_344_4_h, eng, 'there is someone whom Helen saw answer the phone'). +sent(s_344_4_h, original, 'there is someone whom Helen saw answer the phone'). +sent(s_344_4_h, swe, 'det finns någon som Helen såg'). + +tree(s_345_1_p, t('Sentence', [t('PredVPS', [t('UsePN', [t(smith_PN, [])]), t('ConjVPS2', [t(and_Conj, []), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('UsePN', [t(jones_PN, [])])]), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2V', [t(elliptic_V2V, []), t('ComplSlash', [t('SlashV2a', [t(make8do_V2, [])]), t('DetCN', [t('DetQuant', [t('IndefArt', []), t('NumSg', [])]), t('UseN', [t(copy_N, [])])])])]), t('DetCN', [t('DetQuant', [t('PossPron', [t(heRefl_Pron, [])]), t('NumSg', [])]), t('UseN', [t(secretary_N, [])])])])])])])). +sent(s_345_1_p, eng, 'Smith saw Jones sign the contract and [..] his secretary make a copy'). +sent(s_345_1_p, original, 'Smith saw Jones sign the contract and [..] his secretary make a copy'). +sent(s_345_1_p, swe, 'Smith såg Jones underteckna kontraktet och [..] sin sekreterare göra en kopia'). + +tree(s_345_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('UsePN', [t(jones_PN, [])])])])])])])). +sent(s_345_2_q, eng, 'did Smith see Jones sign the contract'). +sent(s_345_2_q, original, 'did Smith see Jones sign the contract'). +sent(s_345_2_q, swe, 'såg Smith Jones underteckna kontraktet'). + +tree(s_345_3_h, s_340_1_p). +sent(s_345_3_h, eng, 'Smith saw Jones sign the contract'). +sent(s_345_3_h, original, 'Smith saw Jones sign the contract'). +sent(s_345_3_h, swe, 'Smith såg Jones underteckna kontraktet'). + +tree(s_346_1_p, t('Sentence', [t('PredVPS', [t('UsePN', [t(smith_PN, [])]), t('ConjVPS2', [t(or_Conj, []), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('UsePN', [t(jones_PN, [])])]), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2V', [t(elliptic_V2V, []), t('ComplSlash', [t('SlashV2a', [t(cross_out_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(crucial_A, [])]), t('UseN', [t(clause_N, [])])])])])]), t(elliptic_NP_Sg, [])])])])])). +sent(s_346_1_p, eng, 'Smith saw Jones sign the contract or [..] [..] cross out the crucial clause'). +sent(s_346_1_p, original, 'Smith saw Jones sign the contract or [..] [..] cross out the crucial clause'). +sent(s_346_1_p, swe, 'Smith såg Jones underteckna kontraktet eller [..] [..] stryka över den kritiska paragrafen'). + +tree(s_346_2_q, t('Question', [t('UseQCl', [t('Past', []), t('PPos', []), t('QuestCl', [t('PredVP', [t('UsePN', [t(smith_PN, [])]), t('ComplVPIVV', [t(do_VV, []), t('ConjVPI2', [t(either7or_DConj, []), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('UsePN', [t(jones_PN, [])])]), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(cross_out_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(crucial_A, [])]), t('UseN', [t(clause_N, [])])])])])]), t('UsePN', [t(jones_PN, [])])])])])])])])])). +sent(s_346_2_q, eng, 'did Smith either see Jones sign the contract or see Jones cross out the crucial clause'). +sent(s_346_2_q, original, 'did Smith either see Jones sign the contract or see Jones cross out the crucial clause'). +sent(s_346_2_q, swe, 'gjorde Smith antingen se Jones underteckna kontraktet eller se Jones stryka över den kritiska paragrafen'). + +tree(s_346_3_h, t('Sentence', [t('PredVPS', [t('UsePN', [t(smith_PN, [])]), t('ConjVPS2', [t(either7or_DConj, []), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(sign_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('UseN', [t(contract_N, [])])])])]), t('UsePN', [t(jones_PN, [])])]), t('Past', []), t('PPos', []), t('ComplSlash', [t('SlashV2V', [t(see_V2V, []), t('ComplSlash', [t('SlashV2a', [t(cross_out_V2, [])]), t('DetCN', [t('DetQuant', [t('DefArt', []), t('NumSg', [])]), t('AdjCN', [t('PositA', [t(crucial_A, [])]), t('UseN', [t(clause_N, [])])])])])]), t('UsePN', [t(jones_PN, [])])])])])])). +sent(s_346_3_h, eng, 'Smith either saw Jones sign the contract or saw Jones cross out the crucial clause'). +sent(s_346_3_h, original, 'Smith either saw Jones sign the contract or saw Jones cross out the crucial clause'). +sent(s_346_3_h, swe, 'Smith antingen såg Jones underteckna kontraktet eller såg Jones stryka över den kritiska paragrafen'). + diff --git a/examples/fracas/build/FraCaSBank.xml b/examples/fracas/build/FraCaSBank.xml new file mode 100644 index 000000000..e6ed9af93 --- /dev/null +++ b/examples/fracas/build/FraCaSBank.xml @@ -0,0 +1,7293 @@ + + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNitalian_NComplSlashSlashV2abecome_V2DetCNDetQuantOrdGenNPDetCNDetQuantDefArtNumSgUseNworld_NNumSgOrdSuperlgreat_AUseNtenor_N +an Italian became the world's greatest tenor +an Italian became the world's greatest tenor +en italienare blev världens mest framstående tenor + + +QuestionUseQClPastPPosQuestClExistNPDetCNDetQuantIndefArtNumSgRelCNUseNitalian_NUseRClPastPPosRelVPIdRPComplSlashSlashV2abecome_V2DetCNDetQuantOrdGenNPDetCNDetQuantDefArtNumSgUseNworld_NNumSgOrdSuperlgreat_AUseNtenor_N +was there an Italian who became the world's greatest tenor +was there an Italian who became the world's greatest tenor +fanns det en italienare som blev världens mest framstående tenor + + +SentenceUseClPastPPosExistNPDetCNDetQuantIndefArtNumSgRelCNUseNitalian_NUseRClPastPPosRelVPIdRPComplSlashSlashV2abecome_V2DetCNDetQuantOrdGenNPDetCNDetQuantDefArtNumSgUseNworld_NNumSgOrdSuperlgreat_AUseNtenor_N +there was an Italian who became the world's greatest tenor +there was an Italian who became the world's greatest tenor +det fanns en italienare som blev världens mest framstående tenor + + +SentenceUseClPresentPPosPredVPDetCNevery_DetAdjCNPositAitalian_AUseNman_NComplVVwant_VVUseCompCompCNAdjCNPositAgreat_AUseNtenor_N +every Italian man wants to be a great tenor +every Italian man wants to be a great tenor +varje italiensk man vill vara en framstående tenor + + +SentenceUseClPresentPPosPredVPDetCNsomePl_DetAdjCNPositAitalian_AUseNman_NUseCompCompCNAdjCNPositAgreat_AUseNtenor_N +some Italian men are great tenors +some Italian men are great tenors +några italienska män är framstående tenorer + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAitalian_AUseNman_NUseRClPresentPPosRelVPIdRPComplVVwant_VVUseCompCompNPDetCNDetQuantIndefArtNumSgAdjCNPositAgreat_AUseNtenor_N +are there Italian men who want to be a great tenor +are there Italian men who want to be a great tenor +finns det italienska män som vill vara en framstående tenor + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAitalian_AUseNman_NUseRClPresentPPosRelVPIdRPComplVVwant_VVUseCompCompNPDetCNDetQuantIndefArtNumSgAdjCNPositAgreat_AUseNtenor_N +there are Italian men who want to be a great tenor +there are Italian men who want to be a great tenor +det finns italienska män som vill vara en framstående tenor + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAitalian_AUseNman_NComplVVwant_VVUseCompCompNPDetCNDetQuantIndefArtNumSgAdjCNPositAgreat_AUseNtenor_N +all Italian men want to be a great tenor +all Italian men want to be a great tenor +alla italienska män vill vara en framstående tenor + + + +some Italian men are great tenors +some Italian men are great tenors +några italienska män är framstående tenorer + + + +are there Italian men who want to be a great tenor +are there Italian men who want to be a great tenor +finns det italienska män som vill vara en framstående tenor + + + +there are Italian men who want to be a great tenor +there are Italian men who want to be a great tenor +det finns italienska män som vill vara en framstående tenor + + +SentenceUseClPresentPPosPredVPDetCNeach_DetAdjCNPositAitalian_AUseNtenor_NComplVVwant_VVUseCompCompAPPositAgreat_A +each Italian tenor wants to be great +each Italian tenor wants to be great +varje italiensk tenor vill vara framstående + + +SentenceUseClPresentPPosPredVPDetCNsomePl_DetAdjCNPositAitalian_AUseNtenor_NUseCompCompAPPositAgreat_A +some Italian tenors are great +some Italian tenors are great +några italienska tenorer är framstående + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAitalian_AUseNtenor_NUseRClPresentPPosRelVPIdRPComplVVwant_VVUseCompCompAPPositAgreat_A +are there Italian tenors who want to be great +are there Italian tenors who want to be great +finns det italienska tenorer som vill vara framstående + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAitalian_AUseNtenor_NUseRClPresentPPosRelVPIdRPComplVVwant_VVUseCompCompAPPositAgreat_A +there are Italian tenors who want to be great +there are Italian tenors who want to be great +det finns italienska tenorer som vill vara framstående + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlAdjCNAdAPreally_AdAPositAambitious_AUseNtenor_NUseCompCompAPPositAitalian_A +the really ambitious tenors are Italian +the really ambitious tenors are Italian +de verkligt ärelystna tenorerna är italienska + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNAdAPreally_AdAPositAambitious_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAitalian_A +are there really ambitious tenors who are Italian +are there really ambitious tenors who are Italian +finns det verkligt ärelystna tenorer som är italienska + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNAdAPreally_AdAPositAambitious_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAitalian_A +there are really ambitious tenors who are Italian +there are really ambitious tenors who are Italian +det finns verkligt ärelystna tenorer som är italienska + + +SentenceUseClPresentPPosPredVPDetCNDetQuantno_QuantNumPlAdjCNAdAPreally_AdAPositAgreat_AUseNtenor_NUseCompCompAPPositAmodest_A +no really great tenors are modest +no really great tenors are modest +inga verkligt framstående tenorer är blygsamma + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNAdAPreally_AdAPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAmodest_A +are there really great tenors who are modest +are there really great tenors who are modest +finns det verkligt framstående tenorer som är blygsamma + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNAdAPreally_AdAPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAmodest_A +there are really great tenors who are modest +there are really great tenors who are modest +det finns verkligt framstående tenorer som är blygsamma + + +SentenceUseClPresentPPosPredVPDetCNsomePl_DetAdjCNPositAgreat_AUseNtenor_NUseCompCompAPPositAswedish_A +some great tenors are Swedish +some great tenors are Swedish +några framstående tenorer är svenska + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAswedish_A +are there great tenors who are Swedish +are there great tenors who are Swedish +finns det framstående tenorer som är svenska + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAswedish_A +there are great tenors who are Swedish +there are great tenors who are Swedish +det finns framstående tenorer som är svenska + + +SentenceUseClPresentPPosPredVPDetCNmany_DetAdjCNPositAgreat_AUseNtenor_NUseCompCompAPPositAgerman_A +many great tenors are German +many great tenors are German +många framstående tenorer är tyska + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAgerman_A +are there great tenors who are German +are there great tenors who are German +finns det framstående tenorer som är tyska + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAgerman_A +there are great tenors who are German +there are great tenors who are German +det finns framstående tenorer som är tyska + + +SentenceUseClPresentPPosPredVPDetCNseveral_DetAdjCNPositAgreat_AUseNtenor_NUseCompCompAPPositAbritish_A +several great tenors are British +several great tenors are British +flera framstående tenorer är brittiska + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAbritish_A +are there great tenors who are British +are there great tenors who are British +finns det framstående tenorer som är brittiska + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAbritish_A +there are great tenors who are British +there are great tenors who are British +det finns framstående tenorer som är brittiska + + +SentenceUseClPresentPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAgreat_AUseNtenor_NUseCompCompAPPositAitalian_A +most great tenors are Italian +most great tenors are Italian +de flesta framstående tenorer är italienska + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAitalian_A +are there great tenors who are Italian +are there great tenors who are Italian +finns det framstående tenorer som är italienska + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAitalian_A +there are great tenors who are Italian +there are great tenors who are Italian +det finns framstående tenorer som är italienska + + +SentenceUseClPresentPPosPredVPDetCNa_few_DetAdjCNPositAgreat_AUseNtenor_NComplSlashSlashV2asing_V2MassNPUseNpopular_music_N +a few great tenors sing popular music +a few great tenors sing popular music +ett fåtal framstående tenorer sjunger populärmusik + + +SentenceUseClPresentPPosPredVPDetCNsomePl_DetAdjCNPositAgreat_AUseNtenor_NComplSlashSlashV2alike_V2MassNPUseNpopular_music_N +some great tenors like popular music +some great tenors like popular music +några framstående tenorer gillar populärmusik + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2asing_V2MassNPUseNpopular_music_N +are there great tenors who sing popular music +are there great tenors who sing popular music +finns det framstående tenorer som sjunger populärmusik + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2asing_V2MassNPUseNpopular_music_N +there are great tenors who sing popular music +there are great tenors who sing popular music +det finns framstående tenorer som sjunger populärmusik + + +SentenceUseClPresentPPosPredVPDetCNfew_DetAdjCNPositAgreat_AUseNtenor_NUseCompCompAPPositApoor8penniless_A +few great tenors are poor +few great tenors are poor +få framstående tenorer är fattiga + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositApoor8penniless_A +are there great tenors who are poor +are there great tenors who are poor +finns det framstående tenorer som är fattiga + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAgreat_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositApoor8penniless_A +there are great tenors who are poor +there are great tenors who are poor +det finns framstående tenorer som är fattiga + + +SentenceUseClPresentPPosPredVPDetCNboth_DetAdjCNPositAleading_AUseNtenor_NUseCompCompAPPositAexcellent_A +both leading tenors are excellent +both leading tenors are excellent +båda de ledande tenorerna är förträffliga + + +SentenceUseClPresentPPosPredVPDetCNDetQuantIndefArtNumPlRelCNAdjCNPositAleading_AUseNtenor_NUseRClPresentPPosRelVPIdRPUseCompCompAPPositAexcellent_AUseCompCompAPPositAindispensable_A +leading tenors who are excellent are indispensable +leading tenors who are excellent are indispensable +ledande tenorer som är förträffliga är oumbärliga + + +QuestionUseQClPresentPPosQuestClPredVPDetCNboth_DetAdjCNPositAleading_AUseNtenor_NUseCompCompAPPositAindispensable_A +are both leading tenors indispensable +are both leading tenors indispensable +är båda de ledande tenorerna oumbärliga + + +SentenceUseClPresentPPosPredVPDetCNboth_DetAdjCNPositAleading_AUseNtenor_NUseCompCompAPPositAindispensable_A +both leading tenors are indispensable +both leading tenors are indispensable +båda de ledande tenorerna är oumbärliga + + +SentenceUseClPresentPPosPredVPDetCNneither_DetAdjCNPositAleading_AUseNtenor_Ncome_cheap_VP +neither leading tenor comes cheap +neither leading tenor comes cheap +ingen av de ledande tenorerna är billiga + + +SentenceUseClPresentPPosPredVPAdvNPDetNPDetQuantIndefArtNumSgPrepNPpart_PrepDetCNDetQuantDefArtNumPlAdjCNPositAleading_AUseNtenor_NUseCompCompNPUsePNpavarotti_PN +one of the leading tenors is Pavarotti +one of the leading tenors is Pavarotti +ett av de ledande tenorerna är Pavarotti + + +QuestionUseQClPresentPPosQuestClPredVPUsePNpavarotti_PNUseCompCompCNRelCNAdjCNPositAleading_AUseNtenor_NUseRClPresentPPosRelVPIdRPcome_cheap_VP +is Pavarotti a leading tenor who comes cheap +is Pavarotti a leading tenor who comes cheap +är Pavarotti en ledande tenor som är billig + + +SentenceUseClPresentPPosPredVPUsePNpavarotti_PNUseCompCompCNRelCNAdjCNPositAleading_AUseNtenor_NUseRClPresentPPosRelVPIdRPcome_cheap_VP +Pavarotti is a leading tenor who comes cheap +Pavarotti is a leading tenor who comes cheap +Pavarotti är en ledande tenor som är billig + + +SentenceUseClFuturePPosPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeUseNtenor_NComplSlashSlashV2atake_part_in_V2DetCNDetQuantDefArtNumSgUseNconcert_N +at least three tenors will take part in the concert +at least three tenors will take part in the concert +minst tre tenorer ska delta i konserten + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNUseNtenor_NUseRClFuturePPosRelVPIdRPComplSlashSlashV2atake_part_in_V2DetCNDetQuantDefArtNumSgUseNconcert_N +are there tenors who will take part in the concert +are there tenors who will take part in the concert +finns det tenorer som ska delta i konserten + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNUseNtenor_NUseRClFuturePPosRelVPIdRPComplSlashSlashV2atake_part_in_V2DetCNDetQuantDefArtNumSgUseNconcert_N +there are tenors who will take part in the concert +there are tenors who will take part in the concert +det finns tenorer som ska delta i konserten + + +SentenceUseClFuturePPosPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNtenor_NComplSlashSlash3V3contribute_to_V3MassNPUseNcharity_NDetCNDetQuantPossProntheyRefl_PronNumPlUseNfee_N +at most two tenors will contribute their fees to charity +at most two tenors will contribute their fees to charity +högst två tenorer ska ge sina arvoden till välgörenhet + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumPlRelCNUseNtenor_NUseRClFuturePPosRelVPIdRPComplSlashSlash3V3contribute_to_V3MassNPUseNcharity_NDetCNDetQuantPossProntheyRefl_PronNumPlUseNfee_N +are there tenors who will contribute their fees to charity +are there tenors who will contribute their fees to charity +finns det tenorer som ska ge sina arvoden till välgörenhet + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumPlRelCNUseNtenor_NUseRClFuturePPosRelVPIdRPComplSlashSlash3V3contribute_to_V3MassNPUseNcharity_NDetCNDetQuantPossProntheyRefl_PronNumPlUseNfee_N +there are tenors who will contribute their fees to charity +there are tenors who will contribute their fees to charity +det finns tenorer som ska ge sina arvoden till välgörenhet + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNirishman_NComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgComplN2nobel_prize_N2MassNPUseNliterature_N +an Irishman won the Nobel prize for literature +an Irishman won the Nobel prize for literature +en irländare vann nobelpriset i litteratur + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumSgUseNirishman_NComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNnobel_prize_N +did an Irishman win a Nobel prize +did an Irishman win a Nobel prize +vann en irländare ett nobelpris + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNirishman_NComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNnobel_prize_N +an Irishman won a Nobel prize +an Irishman won a Nobel prize +en irländare vann ett nobelpris + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNeuropean_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +every European has the right to live in Europe +every European has the right to live in Europe +varje europé har rätten att bo i Europa + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNeuropean_NUseCompCompCNUseNperson_N +every European is a person +every European is a person +varje europé är en människa + + +SentenceUseClPresentPPosPredVPDetCNevery_DetRelCNUseNperson_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +every person who has the right to live in Europe can travel freely within Europe +every person who has the right to live in Europe can travel freely within Europe +varje människa som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can every European travel freely within Europe +can every European travel freely within Europe +kan varje europé resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +every European can travel freely within Europe +every European can travel freely within Europe +varje europé kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +all Europeans have the right to live in Europe +all Europeans have the right to live in Europe +alla européer har rätten att bo i Europa + + + +every European is a person +every European is a person +varje europé är en människa + + + +every person who has the right to live in Europe can travel freely within Europe +every person who has the right to live in Europe can travel freely within Europe +varje människa som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can all Europeans travel freely within Europe +can all Europeans travel freely within Europe +kan alla européer resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +all Europeans can travel freely within Europe +all Europeans can travel freely within Europe +alla européer kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNeach_DetUseNeuropean_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +each European has the right to live in Europe +each European has the right to live in Europe +varje europé har rätten att bo i Europa + + + +every European is a person +every European is a person +varje europé är en människa + + + +every person who has the right to live in Europe can travel freely within Europe +every person who has the right to live in Europe can travel freely within Europe +varje människa som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNeach_DetUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can each European travel freely within Europe +can each European travel freely within Europe +kan varje europé resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNeach_DetUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +each European can travel freely within Europe +each European can travel freely within Europe +varje europé kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlUseNmember_state_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +the residents of member states have the right to live in Europe +the residents of member states have the right to live in Europe +invånarna i medlemsstater har rätten att bo i Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlUseNmember_state_NUseCompCompCNUseNindividual_N +all residents of member states are individuals +all residents of member states are individuals +alla invånare i medlemsstater är individer + + +SentenceUseClPresentPPosPredVPDetCNevery_DetRelCNUseNindividual_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +every individual who has the right to live in Europe can travel freely within Europe +every individual who has the right to live in Europe can travel freely within Europe +varje individ som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlUseNmember_state_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can the residents of member states travel freely within Europe +can the residents of member states travel freely within Europe +kan invånarna i medlemsstater resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlUseNmember_state_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +the residents of member states can travel freely within Europe +the residents of member states can travel freely within Europe +invånarna i medlemsstater kan resa fritt inom Europa + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumSgUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_Non_time_Adv +no delegate finished the report on time +no delegate finished the report on time +ingen delegat slutförde rapporten i tid + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantno_QuantNumSgUseNdelegate_NComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_N +did no delegate finish the report +did no delegate finish the report +slutförde ingen delegat rapporten + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumSgUseNdelegate_NComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_N +no delegate finished the report +no delegate finished the report +ingen delegat slutförde rapporten + + +SentenceUseClPastPPosPredVPDetCNsomePl_DetUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_Non_time_Adv +some delegates finished the survey on time +some delegates finished the survey on time +några delegater slutförde undersökningen i tid + + +QuestionUseQClPastPPosQuestClPredVPDetCNsomePl_DetUseNdelegate_NComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_N +did some delegates finish the survey +did some delegates finish the survey +slutförde några delegater undersökningen + + +SentenceUseClPastPPosPredVPDetCNsomePl_DetUseNdelegate_NComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_N +some delegates finished the survey +some delegates finished the survey +några delegater slutförde undersökningen + + +SentenceUseClPastPPosPredVPDetCNmany_DetUseNdelegate_NComplSlashSlash3V3obtain_from_V3DetCNDetQuantDefArtNumSgUseNsurvey_NDetCNDetQuantIndefArtNumPlAdjCNPositAinteresting_AUseNresult_N +many delegates obtained interesting results from the survey +many delegates obtained interesting results from the survey +många delegater erhöll intressanta resultat från undersökningen + + +QuestionUseQClPastPPosQuestClPredVPDetCNmany_DetUseNdelegate_NComplSlashSlash3V3obtain_from_V3DetCNDetQuantDefArtNumSgUseNsurvey_NDetCNDetQuantIndefArtNumPlUseNresult_N +did many delegates obtain results from the survey +did many delegates obtain results from the survey +erhöll många delegater resultat från undersökningen + + +SentenceUseClPastPPosPredVPDetCNmany_DetUseNdelegate_NComplSlashSlash3V3obtain_from_V3DetCNDetQuantDefArtNumSgUseNsurvey_NDetCNDetQuantIndefArtNumPlUseNresult_N +many delegates obtained results from the survey +many delegates obtained results from the survey +många delegater erhöll resultat från undersökningen + + +SentenceUseClPastPPosPredVPDetCNseveral_DetUseNdelegate_NAdvVPComplSlashSlashV2aget_V2PPartNPDetCNDetQuantDefArtNumPlUseNresult_Npublish_V2PrepNPin_PrepDetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAnational_AUseNnewspaper_N +several delegates got the results published in major national newspapers +several delegates got the results published in major national newspapers +flera delegater fick resultaten publicerade i större nationella tidningar + + +QuestionUseQClPastPPosQuestClPredVPDetCNseveral_DetUseNdelegate_NComplSlashSlashV2aget_V2PPartNPDetCNDetQuantDefArtNumPlUseNresult_Npublish_V2 +did several delegates get the results published +did several delegates get the results published +fick flera delegater resultaten publicerade + + +SentenceUseClPastPPosPredVPDetCNseveral_DetUseNdelegate_NComplSlashSlashV2aget_V2PPartNPDetCNDetQuantDefArtNumPlUseNresult_Npublish_V2 +several delegates got the results published +several delegates got the results published +flera delegater fick resultaten publicerade + + +SentenceUseClPresentPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NUseCompCompAPAdvAPPositAresident_APrepNPin_PrepUsePNeurope_PN +most Europeans are resident in Europe +most Europeans are resident in Europe +de flesta européer är bosatta i Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NUseCompCompCNUseNperson_N +all Europeans are people +all Europeans are people +alla européer är människor + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlRelCNUseNperson_NUseRClPresentPPosRelVPIdRPUseCompCompAPAdvAPPositAresident_APrepNPin_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +all people who are resident in Europe can travel freely within Europe +all people who are resident in Europe can travel freely within Europe +alla människor som är bosatta i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can most Europeans travel freely within Europe +can most Europeans travel freely within Europe +kan de flesta européer resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +most Europeans can travel freely within Europe +most Europeans can travel freely within Europe +de flesta européer kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNa_few_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsweden_PN +a few committee members are from Sweden +a few committee members are from Sweden +ett fåtal kommittémedlemmar är från Sverige + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNcommittee_member_NUseCompCompCNUseNperson_N +all committee members are people +all committee members are people +alla kommittémedlemmar är människor + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlRelCNUseNperson_NUseRClPresentPPosRelVPIdRPUseCompCompAdvPrepNPfrom_PrepUsePNsweden_PNUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +all people who are from Sweden are from Scandinavia +all people who are from Sweden are from Scandinavia +alla människor som är från Sverige är från Skandinavien + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_least_PredetDetCNa_few_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +are at least a few committee members from Scandinavia +are at least a few committee members from Scandinavia +är minst ett fåtal kommittémedlemmar från Skandinavien + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNa_few_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +at least a few committee members are from Scandinavia +at least a few committee members are from Scandinavia +minst ett fåtal kommittémedlemmar är från Skandinavien + + +SentenceUseClPresentPPosPredVPDetCNfew_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNportugal_PN +few committee members are from Portugal +few committee members are from Portugal +få kommittémedlemmar är från Portugal + + + +all committee members are people +all committee members are people +alla kommittémedlemmar är människor + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlRelCNUseNperson_NUseRClPresentPPosRelVPIdRPUseCompCompAdvPrepNPfrom_PrepUsePNportugal_PNUseCompCompAdvPrepNPfrom_PrepUsePNsouthern_europe_PN +all people who are from Portugal are from southern Europe +all people who are from Portugal are from southern Europe +alla människor som är från Portugal är från södra Europa + + +QuestionUseQClPresentPPosQuestClExistNPDetCNfew_DetAdvCNUseNcommittee_member_NPrepNPfrom_PrepUsePNsouthern_europe_PN +are there few committee members from southern Europe +are there few committee members from southern Europe +finns det få kommittémedlemmar från södra Europa + + +SentenceUseClPresentPPosExistNPDetCNfew_DetAdvCNUseNcommittee_member_NPrepNPfrom_PrepUsePNsouthern_europe_PN +there are few committee members from southern Europe +there are few committee members from southern Europe +det finns få kommittémedlemmar från södra Europa + + +SentenceUseClPastPPosPredVPDetCNboth_DetUseNcommissioner_NComplVVuse_VVUseCompCompCNAdjCNPositAleading_AUseNbusinessman_N +both commissioners used to be leading businessmen +both commissioners used to be leading businessmen +båda ombuden brukade vara ledande affärsmän + + +QuestionUseQClPastPPosQuestClPredVPDetCNboth_DetUseNcommissioner_NComplVVuse_VVUseCompCompCNUseNbusinessman_N +did both commissioners used to be businessmen +did both commissioners used to be businessmen +brukade båda ombuden vara affärsmän + + +SentenceUseClPastPPosPredVPDetCNboth_DetUseNcommissioner_NComplVVuse_VVUseCompCompCNUseNbusinessman_N +both commissioners used to be businessmen +both commissioners used to be businessmen +båda ombuden brukade vara affärsmän + + +SentenceUseClPresentPPosPredVPDetCNneither_DetUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +neither commissioner spends a lot of time at home +neither commissioner spends a lot of time at home +inget av ombuden tillbringar mycket tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPDetCNneither_DetUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +does neither commissioner spend time at home +does neither commissioner spend time at home +tillbringar inget av ombuden tid hemma + + +SentenceUseClPresentPPosPredVPDetCNneither_DetUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +neither commissioner spends time at home +neither commissioner spends time at home +inget av ombuden tillbringar tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +at least three commissioners spend a lot of time at home +at least three commissioners spend a lot of time at home +minst tre ombud tillbringar mycket tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +do at least three commissioners spend time at home +do at least three commissioners spend time at home +tillbringar minst tre ombud tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +at least three commissioners spend time at home +at least three commissioners spend time at home +minst tre ombud tillbringar tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +at most ten commissioners spend a lot of time at home +at most ten commissioners spend a lot of time at home +högst tio ombud tillbringar mycket tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +do at most ten commissioners spend time at home +do at most ten commissioners spend time at home +tillbringar högst tio ombud tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +at most ten commissioners spend time at home +at most ten commissioners spend time at home +högst tio ombud tillbringar tid hemma + + + +an Irishman won a Nobel prize +an Irishman won a Nobel prize +en irländare vann ett nobelpris + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumSgUseNirishman_NComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgComplN2nobel_prize_N2MassNPUseNliterature_N +did an Irishman win the Nobel prize for literature +did an Irishman win the Nobel prize for literature +vann en irländare nobelpriset i litteratur + + + +an Irishman won the Nobel prize for literature +an Irishman won the Nobel prize for literature +en irländare vann nobelpriset i litteratur + + + +every European can travel freely within Europe +every European can travel freely within Europe +varje europé kan resa fritt inom Europa + + + +every European is a person +every European is a person +varje europé är en människa + + + +every person who has the right to live in Europe can travel freely within Europe +every person who has the right to live in Europe can travel freely within Europe +varje människa som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetUseNeuropean_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +does every European have the right to live in Europe +does every European have the right to live in Europe +har varje europé rätten att bo i Europa + + + +every European has the right to live in Europe +every European has the right to live in Europe +varje europé har rätten att bo i Europa + + + +all Europeans can travel freely within Europe +all Europeans can travel freely within Europe +alla européer kan resa fritt inom Europa + + + +every European is a person +every European is a person +varje europé är en människa + + + +every person who has the right to live in Europe can travel freely within Europe +every person who has the right to live in Europe can travel freely within Europe +varje människa som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +do all Europeans have the right to live in Europe +do all Europeans have the right to live in Europe +har alla européer rätten att bo i Europa + + + +all Europeans have the right to live in Europe +all Europeans have the right to live in Europe +alla européer har rätten att bo i Europa + + + +each European can travel freely within Europe +each European can travel freely within Europe +varje europé kan resa fritt inom Europa + + + +every European is a person +every European is a person +varje europé är en människa + + + +every person who has the right to live in Europe can travel freely within Europe +every person who has the right to live in Europe can travel freely within Europe +varje människa som har rätten att bo i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNeach_DetUseNeuropean_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +does each European have the right to live in Europe +does each European have the right to live in Europe +har varje europé rätten att bo i Europa + + + +each European has the right to live in Europe +each European has the right to live in Europe +varje europé har rätten att bo i Europa + + + +the residents of member states can travel freely within Europe +the residents of member states can travel freely within Europe +invånarna i medlemsstater kan resa fritt inom Europa + + + +all residents of member states are individuals +all residents of member states are individuals +alla invånare i medlemsstater är individer + + +SentenceUseClPresentPPosPredVPDetCNevery_DetRelCNUseNindividual_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPAdvVPUseVlive_Vanywhere_AdvPrepNPin_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +every individual who has the right to live anywhere in Europe can travel freely within Europe +every individual who has the right to live anywhere in Europe can travel freely within Europe +varje individ som har rätten att bo var som helst i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlUseNmember_state_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPAdvVPUseVlive_Vanywhere_AdvPrepNPin_PrepUsePNeurope_PN +do the residents of member states have the right to live anywhere in Europe +do the residents of member states have the right to live anywhere in Europe +har invånarna i medlemsstater rätten att bo var som helst i Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlUseNmember_state_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPAdvVPUseVlive_Vanywhere_AdvPrepNPin_PrepUsePNeurope_PN +the residents of member states have the right to live anywhere in Europe +the residents of member states have the right to live anywhere in Europe +invånarna i medlemsstater har rätten att bo var som helst i Europa + + + +no delegate finished the report +no delegate finished the report +ingen delegat slutförde rapporten + + +QuestionUseQClPastPPosQuestClPredVPDetCNanySg_DetUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_Non_time_Adv +did any delegate finish the report on time +did any delegate finish the report on time +slutförde någon delegat rapporten i tid + + +SentenceUseClPastPPosPredVPDetCNsomeSg_DetUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_Non_time_Adv +some delegate finished the report on time +some delegate finished the report on time +någon delegat slutförde rapporten i tid + + + +some delegates finished the survey +some delegates finished the survey +några delegater slutförde undersökningen + + +QuestionUseQClPastPPosQuestClPredVPDetCNsomePl_DetUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_Non_time_Adv +did some delegates finish the survey on time +did some delegates finish the survey on time +slutförde några delegater undersökningen i tid + + + +some delegates finished the survey on time +some delegates finished the survey on time +några delegater slutförde undersökningen i tid + + + +many delegates obtained results from the survey +many delegates obtained results from the survey +många delegater erhöll resultat från undersökningen + + +QuestionUseQClPastPPosQuestClPredVPDetCNmany_DetUseNdelegate_NComplSlashSlash3V3obtain_from_V3DetCNDetQuantDefArtNumSgUseNsurvey_NDetCNDetQuantIndefArtNumPlAdjCNPositAinteresting_AUseNresult_N +did many delegates obtain interesting results from the survey +did many delegates obtain interesting results from the survey +erhöll många delegater intressanta resultat från undersökningen + + + +many delegates obtained interesting results from the survey +many delegates obtained interesting results from the survey +många delegater erhöll intressanta resultat från undersökningen + + + +several delegates got the results published +several delegates got the results published +flera delegater fick resultaten publicerade + + +QuestionUseQClPastPPosQuestClPredVPDetCNseveral_DetUseNdelegate_NAdvVPComplSlashSlashV2aget_V2PPartNPDetCNDetQuantDefArtNumPlUseNresult_Npublish_V2PrepNPin_PrepDetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAnational_AUseNnewspaper_N +did several delegates get the results published in major national newspapers +did several delegates get the results published in major national newspapers +fick flera delegater resultaten publicerade i större nationella tidningar + + + +several delegates got the results published in major national newspapers +several delegates got the results published in major national newspapers +flera delegater fick resultaten publicerade i större nationella tidningar + + + +most Europeans can travel freely within Europe +most Europeans can travel freely within Europe +de flesta européer kan resa fritt inom Europa + + + +all Europeans are people +all Europeans are people +alla européer är människor + + + +all people who are resident in Europe can travel freely within Europe +all people who are resident in Europe can travel freely within Europe +alla människor som är bosatta i Europa kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlUseNeuropean_NUseCompCompAPAdvAPPositAresident_APrepNPin_PrepUsePNeurope_PN +are most Europeans resident in Europe +are most Europeans resident in Europe +är de flesta européer bosatta i Europa + + + +most Europeans are resident in Europe +most Europeans are resident in Europe +de flesta européer är bosatta i Europa + + +SentenceUseClPresentPPosPredVPDetCNa_few_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +a few committee members are from Scandinavia +a few committee members are from Scandinavia +ett fåtal kommittémedlemmar är från Skandinavien + + + +all committee members are people +all committee members are people +alla kommittémedlemmar är människor + + + +all people who are from Sweden are from Scandinavia +all people who are from Sweden are from Scandinavia +alla människor som är från Sverige är från Skandinavien + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_least_PredetDetCNa_few_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsweden_PN +are at least a few committee members from Sweden +are at least a few committee members from Sweden +är minst ett fåtal kommittémedlemmar från Sverige + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNa_few_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsweden_PN +at least a few committee members are from Sweden +at least a few committee members are from Sweden +minst ett fåtal kommittémedlemmar är från Sverige + + +SentenceUseClPresentPPosPredVPDetCNfew_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsouthern_europe_PN +few committee members are from southern Europe +few committee members are from southern Europe +få kommittémedlemmar är från södra Europa + + + +all committee members are people +all committee members are people +alla kommittémedlemmar är människor + + + +all people who are from Portugal are from southern Europe +all people who are from Portugal are from southern Europe +alla människor som är från Portugal är från södra Europa + + +QuestionUseQClPresentPPosQuestClExistNPDetCNfew_DetAdvCNUseNcommittee_member_NPrepNPfrom_PrepUsePNportugal_PN +are there few committee members from Portugal +are there few committee members from Portugal +finns det få kommittémedlemmar från Portugal + + +SentenceUseClPresentPPosExistNPDetCNfew_DetAdvCNUseNcommittee_member_NPrepNPfrom_PrepUsePNportugal_PN +there are few committee members from Portugal +there are few committee members from Portugal +det finns få kommittémedlemmar från Portugal + + + +both commissioners used to be businessmen +both commissioners used to be businessmen +båda ombuden brukade vara affärsmän + + +QuestionUseQClPastPPosQuestClPredVPDetCNboth_DetUseNcommissioner_NComplVVuse_VVUseCompCompCNAdjCNPositAleading_AUseNbusinessman_N +did both commissioners used to be leading businessmen +did both commissioners used to be leading businessmen +brukade båda ombuden vara ledande affärsmän + + + +both commissioners used to be leading businessmen +both commissioners used to be leading businessmen +båda ombuden brukade vara ledande affärsmän + + + +neither commissioner spends time at home +neither commissioner spends time at home +inget av ombuden tillbringar tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPDetCNeither_DetUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +does either commissioner spend a lot of time at home +does either commissioner spend a lot of time at home +tillbringar något av ombuden mycket tid hemma + + +SentenceUseClPresentPPosPredVPAdvNPDetNPDetQuantIndefArtNumSgPrepNPpart_PrepDetCNDetQuantDefArtNumPlUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +one of the commissioners spends a lot of time at home +one of the commissioners spends a lot of time at home +ett av ombuden tillbringar mycket tid hemma + + + +at least three commissioners spend time at home +at least three commissioners spend time at home +minst tre ombud tillbringar tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +do at least three commissioners spend a lot of time at home +do at least three commissioners spend a lot of time at home +tillbringar minst tre ombud mycket tid hemma + + + +at least three commissioners spend a lot of time at home +at least three commissioners spend a lot of time at home +minst tre ombud tillbringar mycket tid hemma + + + +at most ten commissioners spend time at home +at most ten commissioners spend time at home +högst tio ombud tillbringar tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +do at most ten commissioners spend a lot of time at home +do at most ten commissioners spend a lot of time at home +tillbringar högst tio ombud mycket tid hemma + + + +at most ten commissioners spend a lot of time at home +at most ten commissioners spend a lot of time at home +högst tio ombud tillbringar mycket tid hemma + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNswede_NComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNnobel_prize_N +a Swede won a Nobel prize +a Swede won a Nobel prize +en svensk vann ett nobelpris + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNswede_NUseCompCompCNUseNscandinavian_N +every Swede is a Scandinavian +every Swede is a Scandinavian +varje svensk är en skandinav + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumSgUseNscandinavian_NComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNnobel_prize_N +did a Scandinavian win a Nobel prize +did a Scandinavian win a Nobel prize +vann en skandinav ett nobelpris + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNscandinavian_NComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNnobel_prize_N +a Scandinavian won a Nobel prize +a Scandinavian won a Nobel prize +en skandinav vann ett nobelpris + + +SentenceUseClPresentPPosPredVPDetCNevery_DetAdjCNPositAcanadian_AUseNresident_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +every Canadian resident can travel freely within Europe +every Canadian resident can travel freely within Europe +varje kanadensisk invånare kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNevery_DetAdjCNPositAcanadian_AUseNresident_NUseCompCompCNComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_N +every Canadian resident is a resident of the North American continent +every Canadian resident is a resident of the North American continent +varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can every resident of the North American continent travel freely within Europe +can every resident of the North American continent travel freely within Europe +kan varje invånare på den nordamerikanska kontinenten resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNevery_DetComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +every resident of the North American continent can travel freely within Europe +every resident of the North American continent can travel freely within Europe +varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAcanadian_AUseNresident_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +all Canadian residents can travel freely within Europe +all Canadian residents can travel freely within Europe +alla kanadensiska invånare kan resa fritt inom Europa + + + +every Canadian resident is a resident of the North American continent +every Canadian resident is a resident of the North American continent +varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can all residents of the North American continent travel freely within Europe +can all residents of the North American continent travel freely within Europe +kan alla invånare på den nordamerikanska kontinenten resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +all residents of the North American continent can travel freely within Europe +all residents of the North American continent can travel freely within Europe +alla invånare på den nordamerikanska kontinenten kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNeach_DetAdjCNPositAcanadian_AUseNresident_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +each Canadian resident can travel freely within Europe +each Canadian resident can travel freely within Europe +varje kanadensisk invånare kan resa fritt inom Europa + + + +every Canadian resident is a resident of the North American continent +every Canadian resident is a resident of the North American continent +varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten + + +QuestionUseQClPresentPPosQuestClPredVPDetCNeach_DetComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can each resident of the North American continent travel freely within Europe +can each resident of the North American continent travel freely within Europe +kan varje invånare på den nordamerikanska kontinenten resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNeach_DetComplN2resident_on_N2DetCNDetQuantDefArtNumSgAdjCNPositAnorth_american_AUseNcontinent_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +each resident of the North American continent can travel freely within Europe +each resident of the North American continent can travel freely within Europe +varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAwestern_AUseNcountry_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +the residents of major western countries can travel freely within Europe +the residents of major western countries can travel freely within Europe +invånarna i större västerländska länder kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAwestern_AUseNcountry_NUseCompCompCNComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAwestern_AUseNcountry_N +all residents of major western countries are residents of western countries +all residents of major western countries are residents of western countries +alla invånare i större västerländska länder är invånare i västerländska länder + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAwestern_AUseNcountry_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +do the residents of western countries have the right to live in Europe +do the residents of western countries have the right to live in Europe +har invånarna i västerländska länder rätten att bo i Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAwestern_AUseNcountry_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +the residents of western countries have the right to live in Europe +the residents of western countries have the right to live in Europe +invånarna i västerländska länder har rätten att bo i Europa + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumSgAdjCNPositAscandinavian_AUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_Non_time_Adv +no Scandinavian delegate finished the report on time +no Scandinavian delegate finished the report on time +ingen skandinavisk delegat slutförde rapporten i tid + + + +did any delegate finish the report on time +did any delegate finish the report on time +slutförde någon delegat rapporten i tid + + + +some delegate finished the report on time +some delegate finished the report on time +någon delegat slutförde rapporten i tid + + +SentenceUseClPastPPosPredVPDetCNsomePl_DetAdjCNPositAirish_AUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_Non_time_Adv +some Irish delegates finished the survey on time +some Irish delegates finished the survey on time +några irländska delegater slutförde undersökningen i tid + + +QuestionUseQClPastPPosQuestClPredVPDetCNanyPl_DetUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_Non_time_Adv +did any delegates finish the survey on time +did any delegates finish the survey on time +slutförde några delegater undersökningen i tid + + + +some delegates finished the survey on time +some delegates finished the survey on time +några delegater slutförde undersökningen i tid + + +SentenceUseClPastPPosPredVPDetCNmany_DetAdjCNPositAbritish_AUseNdelegate_NComplSlashSlash3V3obtain_from_V3DetCNDetQuantDefArtNumSgUseNsurvey_NDetCNDetQuantIndefArtNumPlAdjCNPositAinteresting_AUseNresult_N +many British delegates obtained interesting results from the survey +many British delegates obtained interesting results from the survey +många brittiska delegater erhöll intressanta resultat från undersökningen + + + +did many delegates obtain interesting results from the survey +did many delegates obtain interesting results from the survey +erhöll många delegater intressanta resultat från undersökningen + + + +many delegates obtained interesting results from the survey +many delegates obtained interesting results from the survey +många delegater erhöll intressanta resultat från undersökningen + + +SentenceUseClPastPPosPredVPDetCNseveral_DetAdjCNPositAportuguese_AUseNdelegate_NAdvVPComplSlashSlashV2aget_V2PPartNPDetCNDetQuantDefArtNumPlUseNresult_Npublish_V2PrepNPin_PrepDetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAnational_AUseNnewspaper_N +several Portuguese delegates got the results published in major national newspapers +several Portuguese delegates got the results published in major national newspapers +flera portugisiska delegater fick resultaten publicerade i större nationella tidningar + + + +did several delegates get the results published in major national newspapers +did several delegates get the results published in major national newspapers +fick flera delegater resultaten publicerade i större nationella tidningar + + + +several delegates got the results published in major national newspapers +several delegates got the results published in major national newspapers +flera delegater fick resultaten publicerade i större nationella tidningar + + +SentenceUseClPresentPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlRelCNUseNeuropean_NUseRClPresentPPosRelVPIdRPAdvVPUseCompCompAPPositAresident_APrepNPin_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +most Europeans who are resident in Europe can travel freely within Europe +most Europeans who are resident in Europe can travel freely within Europe +de flesta européer som är bosatta i Europa kan resa fritt inom Europa + + + +can most Europeans travel freely within Europe +can most Europeans travel freely within Europe +kan de flesta européer resa fritt inom Europa + + + +most Europeans can travel freely within Europe +most Europeans can travel freely within Europe +de flesta européer kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNa_few_DetAdjCNPositAfemale_AUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +a few female committee members are from Scandinavia +a few female committee members are from Scandinavia +ett fåtal kvinnliga kommittémedlemmar är från Skandinavien + + + +are at least a few committee members from Scandinavia +are at least a few committee members from Scandinavia +är minst ett fåtal kommittémedlemmar från Skandinavien + + + +at least a few committee members are from Scandinavia +at least a few committee members are from Scandinavia +minst ett fåtal kommittémedlemmar är från Skandinavien + + +SentenceUseClPresentPPosPredVPDetCNfew_DetAdjCNPositAfemale_AUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsouthern_europe_PN +few female committee members are from southern Europe +few female committee members are from southern Europe +få kvinnliga kommittémedlemmar är från södra Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNfew_DetUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsouthern_europe_PN +are few committee members from southern Europe +are few committee members from southern Europe +är få kommittémedlemmar från södra Europa + + + +few committee members are from southern Europe +few committee members are from southern Europe +få kommittémedlemmar är från södra Europa + + +SentenceUseClPastPPosPredVPDetCNboth_DetAdjCNPositAfemale_AUseNcommissioner_NComplVVuse_VVUseCompCompAdvPrepNPin_PrepMassNPUseNbusiness_N +both female commissioners used to be in business +both female commissioners used to be in business +båda de kvinnliga ombuden brukade vara i affärsverksamhet + + +QuestionUseQClPastPPosQuestClPredVPDetCNboth_DetUseNcommissioner_NComplVVuse_VVUseCompCompAdvPrepNPin_PrepMassNPUseNbusiness_N +did both commissioners used to be in business +did both commissioners used to be in business +brukade båda ombuden vara i affärsverksamhet + + +SentenceUseClPastPPosPredVPDetCNboth_DetUseNcommissioner_NComplVVuse_VVUseCompCompAdvPrepNPin_PrepMassNPUseNbusiness_N +both commissioners used to be in business +both commissioners used to be in business +båda ombuden brukade vara i affärsverksamhet + + +SentenceUseClPresentPPosPredVPDetCNneither_DetAdjCNPositAfemale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +neither female commissioner spends a lot of time at home +neither female commissioner spends a lot of time at home +inget av de kvinnliga ombuden tillbringar mycket tid hemma + + + +does either commissioner spend a lot of time at home +does either commissioner spend a lot of time at home +tillbringar något av ombuden mycket tid hemma + + + +one of the commissioners spends a lot of time at home +one of the commissioners spends a lot of time at home +ett av ombuden tillbringar mycket tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeAdjCNPositAfemale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +at least three female commissioners spend time at home +at least three female commissioners spend time at home +minst tre kvinnliga ombud tillbringar tid hemma + + + +do at least three commissioners spend time at home +do at least three commissioners spend time at home +tillbringar minst tre ombud tid hemma + + + +at least three commissioners spend time at home +at least three commissioners spend time at home +minst tre ombud tillbringar tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_tenAdjCNPositAfemale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +at most ten female commissioners spend time at home +at most ten female commissioners spend time at home +högst tio kvinnliga ombud tillbringar tid hemma + + + +do at most ten commissioners spend time at home +do at most ten commissioners spend time at home +tillbringar högst tio ombud tid hemma + + + +at most ten commissioners spend time at home +at most ten commissioners spend time at home +högst tio ombud tillbringar tid hemma + + + +a Scandinavian won a Nobel prize +a Scandinavian won a Nobel prize +en skandinav vann ett nobelpris + + + +every Swede is a Scandinavian +every Swede is a Scandinavian +varje svensk är en skandinav + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumSgUseNswede_NComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNnobel_prize_N +did a Swede win a Nobel prize +did a Swede win a Nobel prize +vann en svensk ett nobelpris + + + +a Swede won a Nobel prize +a Swede won a Nobel prize +en svensk vann ett nobelpris + + + +every resident of the North American continent can travel freely within Europe +every resident of the North American continent can travel freely within Europe +varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa + + + +every Canadian resident is a resident of the North American continent +every Canadian resident is a resident of the North American continent +varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetAdjCNPositAcanadian_AUseNresident_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can every Canadian resident travel freely within Europe +can every Canadian resident travel freely within Europe +kan varje kanadensisk invånare resa fritt inom Europa + + + +every Canadian resident can travel freely within Europe +every Canadian resident can travel freely within Europe +varje kanadensisk invånare kan resa fritt inom Europa + + + +all residents of the North American continent can travel freely within Europe +all residents of the North American continent can travel freely within Europe +alla invånare på den nordamerikanska kontinenten kan resa fritt inom Europa + + + +every Canadian resident is a resident of the North American continent +every Canadian resident is a resident of the North American continent +varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAcanadian_AUseNresident_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can all Canadian residents travel freely within Europe +can all Canadian residents travel freely within Europe +kan alla kanadensiska invånare resa fritt inom Europa + + + +all Canadian residents can travel freely within Europe +all Canadian residents can travel freely within Europe +alla kanadensiska invånare kan resa fritt inom Europa + + + +each resident of the North American continent can travel freely within Europe +each resident of the North American continent can travel freely within Europe +varje invånare på den nordamerikanska kontinenten kan resa fritt inom Europa + + + +every Canadian resident is a resident of the North American continent +every Canadian resident is a resident of the North American continent +varje kanadensisk invånare är en invånare på den nordamerikanska kontinenten + + +QuestionUseQClPresentPPosQuestClPredVPDetCNeach_DetAdjCNPositAcanadian_AUseNresident_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can each Canadian resident travel freely within Europe +can each Canadian resident travel freely within Europe +kan varje kanadensisk invånare resa fritt inom Europa + + + +each Canadian resident can travel freely within Europe +each Canadian resident can travel freely within Europe +varje kanadensisk invånare kan resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAwestern_AUseNcountry_NComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +the residents of western countries can travel freely within Europe +the residents of western countries can travel freely within Europe +invånarna i västerländska länder kan resa fritt inom Europa + + + +all residents of major western countries are residents of western countries +all residents of major western countries are residents of western countries +alla invånare i större västerländska länder är invånare i västerländska länder + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAwestern_AUseNcountry_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +do the residents of major western countries have the right to live in Europe +do the residents of major western countries have the right to live in Europe +har invånarna i större västerländska länder rätten att bo i Europa + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlComplN2resident_in_N2DetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAwestern_AUseNcountry_NComplSlashSlashV2ahave_V2DetCNDetQuantDefArtNumSgSentCNUseNright_NEmbedVPAdvVPUseVlive_VPrepNPin_PrepUsePNeurope_PN +the residents of major western countries have the right to live in Europe +the residents of major western countries have the right to live in Europe +invånarna i större västerländska länder har rätten att bo i Europa + + + +no delegate finished the report on time +no delegate finished the report on time +ingen delegat slutförde rapporten i tid + + +QuestionUseQClPastPPosQuestClPredVPDetCNanySg_DetAdjCNPositAscandinavian_AUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_Non_time_Adv +did any Scandinavian delegate finish the report on time +did any Scandinavian delegate finish the report on time +slutförde någon skandinavisk delegat rapporten i tid + + +SentenceUseClPastPPosPredVPDetCNsomeSg_DetAdjCNPositAscandinavian_AUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNreport_Non_time_Adv +some Scandinavian delegate finished the report on time +some Scandinavian delegate finished the report on time +någon skandinavisk delegat slutförde rapporten i tid + + + +some delegates finished the survey on time +some delegates finished the survey on time +några delegater slutförde undersökningen i tid + + +QuestionUseQClPastPPosQuestClPredVPDetCNanyPl_DetAdjCNPositAirish_AUseNdelegate_NAdvVPComplSlashSlashV2afinish_V2DetCNDetQuantDefArtNumSgUseNsurvey_Non_time_Adv +did any Irish delegates finish the survey on time +did any Irish delegates finish the survey on time +slutförde några irländska delegater undersökningen i tid + + + +some Irish delegates finished the survey on time +some Irish delegates finished the survey on time +några irländska delegater slutförde undersökningen i tid + + + +many delegates obtained interesting results from the survey +many delegates obtained interesting results from the survey +många delegater erhöll intressanta resultat från undersökningen + + +QuestionUseQClPastPPosQuestClPredVPDetCNmany_DetAdjCNPositAbritish_AUseNdelegate_NComplSlashSlash3V3obtain_from_V3DetCNDetQuantDefArtNumSgUseNsurvey_NDetCNDetQuantIndefArtNumPlAdjCNPositAinteresting_AUseNresult_N +did many British delegates obtain interesting results from the survey +did many British delegates obtain interesting results from the survey +erhöll många brittiska delegater intressanta resultat från undersökningen + + + +many British delegates obtained interesting results from the survey +many British delegates obtained interesting results from the survey +många brittiska delegater erhöll intressanta resultat från undersökningen + + + +several delegates got the results published in major national newspapers +several delegates got the results published in major national newspapers +flera delegater fick resultaten publicerade i större nationella tidningar + + +QuestionUseQClPastPPosQuestClPredVPDetCNseveral_DetAdjCNPositAportuguese_AUseNdelegate_NAdvVPComplSlashSlashV2aget_V2PPartNPDetCNDetQuantDefArtNumPlUseNresult_Npublish_V2PrepNPin_PrepDetCNDetQuantIndefArtNumPlAdjCNPositAmajor_AAdjCNPositAnational_AUseNnewspaper_N +did several Portuguese delegates get the results published in major national newspapers +did several Portuguese delegates get the results published in major national newspapers +fick flera portugisiska delegater resultaten publicerade i större nationella tidningar + + + +several Portuguese delegates got the results published in major national newspapers +several Portuguese delegates got the results published in major national newspapers +flera portugisiska delegater fick resultaten publicerade i större nationella tidningar + + + +most Europeans can travel freely within Europe +most Europeans can travel freely within Europe +de flesta européer kan resa fritt inom Europa + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlRelCNUseNeuropean_NUseRClPresentPPosRelVPIdRPUseCompCompAPAdvAPPositAresident_APrepNPoutside_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +can most Europeans who are resident outside Europe travel freely within Europe +can most Europeans who are resident outside Europe travel freely within Europe +kan de flesta européer som är bosatta utanför Europa resa fritt inom Europa + + +SentenceUseClPresentPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlRelCNUseNeuropean_NUseRClPresentPPosRelVPIdRPUseCompCompAPAdvAPPositAresident_APrepNPoutside_PrepUsePNeurope_PNComplVVcan_VVAdvVPAdvVPUseVtravel_VPositAdvAdjfree_APrepNPwithin_PrepUsePNeurope_PN +most Europeans who are resident outside Europe can travel freely within Europe +most Europeans who are resident outside Europe can travel freely within Europe +de flesta européer som är bosatta utanför Europa kan resa fritt inom Europa + + + +a few committee members are from Scandinavia +a few committee members are from Scandinavia +ett fåtal kommittémedlemmar är från Skandinavien + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_least_PredetDetCNa_few_DetAdjCNPositAfemale_AUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +are at least a few female committee members from Scandinavia +are at least a few female committee members from Scandinavia +är minst ett fåtal kvinnliga kommittémedlemmar från Skandinavien + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNa_few_DetAdjCNPositAfemale_AUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNscandinavia_PN +at least a few female committee members are from Scandinavia +at least a few female committee members are from Scandinavia +minst ett fåtal kvinnliga kommittémedlemmar är från Skandinavien + + + +few committee members are from southern Europe +few committee members are from southern Europe +få kommittémedlemmar är från södra Europa + + +QuestionUseQClPresentPPosQuestClPredVPDetCNfew_DetAdjCNPositAfemale_AUseNcommittee_member_NUseCompCompAdvPrepNPfrom_PrepUsePNsouthern_europe_PN +are few female committee members from southern Europe +are few female committee members from southern Europe +är få kvinnliga kommittémedlemmar från södra Europa + + + +few female committee members are from southern Europe +few female committee members are from southern Europe +få kvinnliga kommittémedlemmar är från södra Europa + + + +both commissioners used to be in business +both commissioners used to be in business +båda ombuden brukade vara i affärsverksamhet + + +QuestionUseQClPastPPosQuestClPredVPDetCNboth_DetAdjCNPositAfemale_AUseNcommissioner_NComplVVuse_VVUseCompCompAdvPrepNPin_PrepMassNPUseNbusiness_N +did both female commissioners used to be in business +did both female commissioners used to be in business +brukade båda de kvinnliga ombuden vara i affärsverksamhet + + + +both female commissioners used to be in business +both female commissioners used to be in business +båda de kvinnliga ombuden brukade vara i affärsverksamhet + + + +neither commissioner spends a lot of time at home +neither commissioner spends a lot of time at home +inget av ombuden tillbringar mycket tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPDetCNeither_DetAdjCNPositAfemale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +does either female commissioner spend a lot of time at home +does either female commissioner spend a lot of time at home +tillbringar något av de kvinnliga ombuden mycket tid hemma + + +SentenceUseClPresentPPosPredVPAdvNPDetNPDetQuantIndefArtNumSgPrepNPpart_PrepDetCNDetQuantDefArtNumPlAdjCNPositAfemale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2DetCNa_lot_of_DetUseNtime_Nat_home_Adv +one of the female commissioners spends a lot of time at home +one of the female commissioners spends a lot of time at home +ett av de kvinnliga ombuden tillbringar mycket tid hemma + + + +at least three commissioners spend time at home +at least three commissioners spend time at home +minst tre ombud tillbringar tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeAdjCNPositAmale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +do at least three male commissioners spend time at home +do at least three male commissioners spend time at home +tillbringar minst tre manliga ombud tid hemma + + +SentenceUseClPresentPPosPredVPPredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_threeAdjCNPositAmale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +at least three male commissioners spend time at home +at least three male commissioners spend time at home +minst tre manliga ombud tillbringar tid hemma + + + +at most ten commissioners spend time at home +at most ten commissioners spend time at home +högst tio ombud tillbringar tid hemma + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPat_most_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_tenAdjCNPositAfemale_AUseNcommissioner_NAdvVPComplSlashSlashV2aspend_V2MassNPUseNtime_Nat_home_Adv +do at most ten female commissioners spend time at home +do at most ten female commissioners spend time at home +tillbringar högst tio kvinnliga ombud tid hemma + + + +at most ten female commissioners spend time at home +at most ten female commissioners spend time at home +högst tio kvinnliga ombud tillbringar tid hemma + + +SentenceUseClPastPPosPredVPConjNP3and_ConjUsePNsmith_PNUsePNjones_PNUsePNanderson_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +Smith , Jones and Anderson signed the contract +Smith , Jones and Anderson signed the contract +Smith , Jones och Anderson undertecknade kontraktet + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +did Jones sign the contract +did Jones sign the contract +undertecknade Jones kontraktet + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +Jones signed the contract +Jones signed the contract +Jones undertecknade kontraktet + + +SentenceUseClPastPPosPredVPConjNP3and_ConjUsePNsmith_PNUsePNjones_PNDetCNseveral_DetUseNlawyer_NComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +Smith , Jones and several lawyers signed the contract +Smith , Jones and several lawyers signed the contract +Smith , Jones och flera jurister undertecknade kontraktet + + + +did Jones sign the contract +did Jones sign the contract +undertecknade Jones kontraktet + + + +Jones signed the contract +Jones signed the contract +Jones undertecknade kontraktet + + +SentenceUseClPastPPosPredVPConjNP3either7or_DConjUsePNsmith_PNUsePNjones_PNUsePNanderson_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +either Smith , Jones or Anderson signed the contract +either Smith , Jones or Anderson signed the contract +antingen Smith , Jones eller Anderson undertecknade kontraktet + + + +did Jones sign the contract +did Jones sign the contract +undertecknade Jones kontraktet + + + +Jones signed the contract +Jones signed the contract +Jones undertecknade kontraktet + + + +either Smith , Jones or Anderson signed the contract +either Smith , Jones or Anderson signed the contract +antingen Smith , Jones eller Anderson undertecknade kontraktet + + +QuestionExtAdvQSSubjSif_SubjUseClPastUncNegPredVPConjNP2and_ConjUsePNsmith_PNUsePNanderson_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUseQClPastPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +if Smith and Anderson did not sign the contract , did Jones sign the contract +if Smith and Anderson did not sign the contract , did Jones sign the contract +om Smith och Anderson inte undertecknade kontraktet , undertecknade Jones kontraktet + + +SentenceExtAdvSSubjSif_SubjUseClPastUncNegPredVPConjNP2and_ConjUsePNsmith_PNUsePNanderson_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +if Smith and Anderson did not sign the contract , Jones signed the contract +if Smith and Anderson did not sign the contract , Jones signed the contract +om Smith och Anderson inte undertecknade kontraktet , undertecknade Jones kontraktet + + +SentenceUseClPastPPosPredVPConjNP2and_ConjPredetNPexactly_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNlawyer_NDetCNDetQuantIndefArtNumCardNumNumeralN_threeUseNaccountant_NComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +exactly two lawyers and three accountants signed the contract +exactly two lawyers and three accountants signed the contract +exakt två jurister och tre bokförare undertecknade kontraktet + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_sixUseNlawyer_NComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +did six lawyers sign the contract +did six lawyers sign the contract +undertecknade sex jurister kontraktet + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_sixUseNlawyer_NComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +six lawyers signed the contract +six lawyers signed the contract +sex jurister undertecknade kontraktet + + + +exactly two lawyers and three accountants signed the contract +exactly two lawyers and three accountants signed the contract +exakt två jurister och tre bokförare undertecknade kontraktet + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_sixUseNaccountant_NComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +did six accountants sign the contract +did six accountants sign the contract +undertecknade sex bokförare kontraktet + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_sixUseNaccountant_NComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +six accountants signed the contract +six accountants signed the contract +sex bokförare undertecknade kontraktet + + +SentenceUseClPastPPosPredVPDetCNevery_DetConjCN2and_ConjUseNrepresentative_NUseNclient_NUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +every representative and client was at the meeting +every representative and client was at the meeting +varje representant och klient var på mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNevery_DetUseNrepresentative_NUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +was every representative at the meeting +was every representative at the meeting +var varje representant på mötet + + +SentenceUseClPastPPosPredVPDetCNevery_DetUseNrepresentative_NUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +every representative was at the meeting +every representative was at the meeting +varje representant var på mötet + + + +every representative and client was at the meeting +every representative and client was at the meeting +varje representant och klient var på mötet + + + +was every representative at the meeting +was every representative at the meeting +var varje representant på mötet + + + +every representative was at the meeting +every representative was at the meeting +varje representant var på mötet + + +SentenceUseClPastPPosPredVPDetCNevery_DetConjCN2or_ConjUseNrepresentative_NUseNclient_NUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +every representative or client was at the meeting +every representative or client was at the meeting +varje representant eller klient var på mötet + + +QuestionUseQClPastPPosQuestClPredVPConjNP2andSg_ConjDetCNevery_DetUseNrepresentative_NDetCNevery_DetUseNclient_NUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +was every representative and every client at the meeting +was every representative and every client at the meeting +var varje representant och varje klient på mötet + + +SentenceUseClPastPPosPredVPConjNP2andSg_ConjDetCNevery_DetUseNrepresentative_NDetCNevery_DetUseNclient_NUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +every representative and every client was at the meeting +every representative and every client was at the meeting +varje representant och varje klient var på mötet + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumSgUseNchairman_NComplSlashSlashV2aread_out_V2DetCNDetQuantDefArtNumPlAdvCNUseNitem_NPrepNPon_PrepDetCNDetQuantDefArtNumSgUseNagenda_N +the chairman read out the items on the agenda +the chairman read out the items on the agenda +ordföranden läste upp punkterna på dagordningen + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNchairman_NComplSlashSlashV2aread_out_V2DetCNevery_DetAdvCNUseNitem_NPrepNPon_PrepDetCNDetQuantDefArtNumSgUseNagenda_N +did the chairman read out every item on the agenda +did the chairman read out every item on the agenda +läste ordföranden upp varje punkt på dagordningen + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumSgUseNchairman_NComplSlashSlashV2aread_out_V2DetCNevery_DetAdvCNUseNitem_NPrepNPon_PrepDetCNDetQuantDefArtNumSgUseNagenda_N +the chairman read out every item on the agenda +the chairman read out every item on the agenda +ordföranden läste upp varje punkt på dagordningen + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumPlRelCNUseNperson_NUseRClPastPPosRelVPIdRPUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_NComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNchairman_N +the people who were at the meeting voted for a new chairman +the people who were at the meeting voted for a new chairman +människorna som var på mötet röstade för en ny ordförande + + +QuestionUseQClPastPPosQuestClPredVPAdvNPUseProneveryone_PronPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_NComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNchairman_N +did everyone at the meeting vote for a new chairman +did everyone at the meeting vote for a new chairman +röstade alla på mötet för en ny ordförande + + +SentenceUseClPastPPosPredVPAdvNPUseProneveryone_PronPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_NComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNchairman_N +everyone at the meeting voted for a new chairman +everyone at the meeting voted for a new chairman +alla på mötet röstade för en ny ordförande + + +SentenceUseClPastPPosPredVPPredetNPall_PredetDetCNDetQuantDefArtNumPlRelCNUseNperson_NUseRClPastPPosRelVPIdRPUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_NComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNchairman_N +all the people who were at the meeting voted for a new chairman +all the people who were at the meeting voted for a new chairman +alla människorna som var på mötet röstade för en ny ordförande + + + +did everyone at the meeting vote for a new chairman +did everyone at the meeting vote for a new chairman +röstade alla på mötet för en ny ordförande + + + +everyone at the meeting voted for a new chairman +everyone at the meeting voted for a new chairman +alla på mötet röstade för en ny ordförande + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumPlRelCNUseNperson_NUseRClPastPPosRelVPIdRPUseCompCompAdvPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_NAdVVPall_AdVComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNchairman_N +the people who were at the meeting all voted for a new chairman +the people who were at the meeting all voted for a new chairman +människorna som var på mötet röstade alla för en ny ordförande + + + +did everyone at the meeting vote for a new chairman +did everyone at the meeting vote for a new chairman +röstade alla på mötet för en ny ordförande + + + +everyone at the meeting voted for a new chairman +everyone at the meeting voted for a new chairman +alla på mötet röstade för en ny ordförande + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumPlComplN2inhabitant_N2UsePNcambridge_PNComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgUseNlabour_mp_N +the inhabitants of Cambridge voted for a Labour MP +the inhabitants of Cambridge voted for a Labour MP +invånarna i Cambridge röstade för en Labour-ledamot + + +QuestionUseQClPastPPosQuestClPredVPDetCNevery_DetComplN2inhabitant_N2UsePNcambridge_PNComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgUseNlabour_mp_N +did every inhabitant of Cambridge vote for a Labour MP +did every inhabitant of Cambridge vote for a Labour MP +röstade varje invånare i Cambridge för en Labour-ledamot + + +SentenceUseClPastPPosPredVPDetCNevery_DetComplN2inhabitant_N2UsePNcambridge_PNComplSlashSlashV2avote_for_V2DetCNDetQuantIndefArtNumSgUseNlabour_mp_N +every inhabitant of Cambridge voted for a Labour MP +every inhabitant of Cambridge voted for a Labour MP +varje invånare i Cambridge röstade för en Labour-ledamot + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumPlAdjCNPositAancient_AUseNgreek_NUseCompCompCNAdjCNPositAnoted_AUseNphilosopher_N +the Ancient Greeks were noted philosophers +the Ancient Greeks were noted philosophers +de antika grekerna var välkända filosofer + + +QuestionUseQClPastPPosQuestClPredVPDetCNevery_DetAdjCNPositAancient_AUseNgreek_NUseCompCompCNAdjCNPositAnoted_AUseNphilosopher_N +was every Ancient Greek a noted philosopher +was every Ancient Greek a noted philosopher +var varje antik grek en välkänd filosof + + +SentenceUseClPastPPosPredVPDetCNevery_DetAdjCNPositAancient_AUseNgreek_NUseCompCompCNAdjCNPositAnoted_AUseNphilosopher_N +every Ancient Greek was a noted philosopher +every Ancient Greek was a noted philosopher +varje antik grek var en välkänd filosof + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumPlAdjCNPositAancient_AUseNgreek_NAdVVPall_AdVUseCompCompCNAdjCNPositAnoted_AUseNphilosopher_N +the Ancient Greeks were all noted philosophers +the Ancient Greeks were all noted philosophers +de antika grekerna var alla välkända filosofer + + + +was every Ancient Greek a noted philosopher +was every Ancient Greek a noted philosopher +var varje antik grek en välkänd filosof + + + +every Ancient Greek was a noted philosopher +every Ancient Greek was a noted philosopher +varje antik grek var en välkänd filosof + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumPlUseNsoftware_fault_NAdvVPPassV2sblame1_V2PrepNPfor_PrepDetCNDetQuantDefArtNumSgUseNsystem_failure_N +software faults were blamed for the system failure +software faults were blamed for the system failure +programvarufel beskylldes för systemkraschen + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNsystem_failure_NAdvVPPassV2sblame2_V2PrepNPon_PrepDetCNone_or_more_DetUseNsoftware_fault_N +was the system failure blamed on one or more software faults +was the system failure blamed on one or more software faults +skylldes systemkraschen på ett eller flera programvarufel + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumSgUseNsystem_failure_NAdvVPPassV2sblame2_V2PrepNPon_PrepDetCNone_or_more_DetUseNsoftware_fault_N +the system failure was blamed on one or more software faults +the system failure was blamed on one or more software faults +systemkraschen skylldes på ett eller flera programvarufel + + + +software faults were blamed for the system failure +software faults were blamed for the system failure +programvarufel beskylldes för systemkraschen + + +SentenceUseClPresentPPosPredVPUsePNbug_32985_PNUseCompCompCNAdjCNPositAknown_AUseNsoftware_fault_N +Bug # 32-985 is a known software fault +Bug # 32-985 is a known software fault +Bug # 32-985 är ett känt programvarufel + + +QuestionUseQClPastPPosQuestClPredVPUsePNbug_32985_PNAdvVPPassV2sblame1_V2PrepNPfor_PrepDetCNDetQuantDefArtNumSgUseNsystem_failure_N +was Bug # 32-985 blamed for the system failure +was Bug # 32-985 blamed for the system failure +beskylldes Bug # 32-985 för systemkraschen + + +SentenceUseClPastPPosPredVPUsePNbug_32985_PNAdvVPPassV2sblame1_V2PrepNPfor_PrepDetCNDetQuantDefArtNumSgUseNsystem_failure_N +Bug # 32-985 was blamed for the system failure +Bug # 32-985 was blamed for the system failure +Bug # 32-985 beskylldes för systemkraschen + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumPlAdvCNUseNclient_NPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNdemonstration_NAdVVPall_AdVUseCompCompAPComplA2impressed_by_A2DetCNDetQuantGenNPDetCNDetQuantDefArtNumSgUseNsystem_NNumSgUseNperformance_N +clients at the demonstration were all impressed by the system's performance +clients at the demonstration were all impressed by the system's performance +klienter på presentationen var alla imponerade av systemets utförande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNUseCompCompCNAdvCNUseNclient_NPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNdemonstration_N +Smith was a client at the demonstration +Smith was a client at the demonstration +Smith var en klient på presentationen + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNUseCompCompAPComplA2impressed_by_A2DetCNDetQuantGenNPDetCNDetQuantDefArtNumSgUseNsystem_NNumSgUseNperformance_N +was Smith impressed by the system's performance +was Smith impressed by the system's performance +var Smith imponerad av systemets utförande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNUseCompCompAPComplA2impressed_by_A2DetCNDetQuantGenNPDetCNDetQuantDefArtNumSgUseNsystem_NNumSgUseNperformance_N +Smith was impressed by the system's performance +Smith was impressed by the system's performance +Smith var imponerad av systemets utförande + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumPlAdvCNUseNclient_NPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNdemonstration_NUseCompCompAPComplA2impressed_by_A2DetCNDetQuantGenNPDetCNDetQuantDefArtNumSgUseNsystem_NNumSgUseNperformance_N +clients at the demonstration were impressed by the system's performance +clients at the demonstration were impressed by the system's performance +klienter på presentationen var imponerade av systemets utförande + + +QuestionUseQClPastPPosQuestClPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlAdvCNUseNclient_NPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNdemonstration_NUseCompCompAPComplA2impressed_by_A2DetCNDetQuantGenNPDetCNDetQuantDefArtNumSgUseNsystem_NNumSgUseNperformance_N +were most clients at the demonstration impressed by the system's performance +were most clients at the demonstration impressed by the system's performance +var de flesta klienter på presentationen imponerade av systemets utförande + + +SentenceUseClPastPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlAdvCNUseNclient_NPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNdemonstration_NUseCompCompAPComplA2impressed_by_A2DetCNDetQuantGenNPDetCNDetQuantDefArtNumSgUseNsystem_NNumSgUseNperformance_N +most clients at the demonstration were impressed by the system's performance +most clients at the demonstration were impressed by the system's performance +de flesta klienter på presentationen var imponerade av systemets utförande + + +SentenceUseClPresentPPosPredVPDetCNDetQuantIndefArtNumPlUseNuniversity_graduate_NComplSlashSlashV2amake8become_V2DetCNDetQuantIndefArtNumPlAdjCNPositApoor8bad_AUseNstockmarket_trader_N +university graduates make poor stock-market traders +university graduates make poor stock-market traders +universitetsakademiker blir dåliga aktiehandlare + + +SentenceUseClPresentPPosPredVPUsePNsmith_PNUseCompCompCNUseNuniversity_graduate_N +Smith is a university graduate +Smith is a university graduate +Smith är en universitetsakademiker + + +QuestionUseQClPresentPPosQuestClPredVPUsePNsmith_PNUseCompCompAPSentAPPositAlikely_AEmbedVPComplSlashSlashV2amake8become_V2DetCNDetQuantIndefArtNumSgAdjCNPositApoor8bad_AUseNstock_market_trader_N +is Smith likely to make a poor stock market trader +is Smith likely to make a poor stock market trader +är Smith sannolik att bli en dålig aktiehandlare + + +SentenceUseClPresentPPosPredVPUsePNsmith_PNUseCompCompAPSentAPPositAlikely_AEmbedVPComplSlashSlashV2amake8become_V2DetCNDetQuantIndefArtNumSgAdjCNPositApoor8bad_AUseNstock_market_trader_N +Smith is likely to make a poor stock market trader +Smith is likely to make a poor stock market trader +Smith är sannolik att bli en dålig aktiehandlare + + + +university graduates make poor stock-market traders +university graduates make poor stock-market traders +universitetsakademiker blir dåliga aktiehandlare + + + +Smith is a university graduate +Smith is a university graduate +Smith är en universitetsakademiker + + +QuestionUseQClFuturePPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2amake8become_V2DetCNDetQuantIndefArtNumSgAdjCNPositApoor8bad_AUseNstock_market_trader_N +will Smith make a poor stock market trader +will Smith make a poor stock market trader +ska Smith bli en dålig aktiehandlare + + +SentenceUseClFuturePPosPredVPUsePNsmith_PNComplSlashSlashV2amake8become_V2DetCNDetQuantIndefArtNumSgAdjCNPositApoor8bad_AUseNstock_market_trader_N +Smith will make a poor stock market trader +Smith will make a poor stock market trader +Smith ska bli en dålig aktiehandlare + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNapcom_manager_NComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumPlUseNcompany_car_N +all APCOM managers have company cars +all APCOM managers have company cars +alla APCOM-direktörer har tjänstebilar + + +SentenceUseClPresentPPosPredVPUsePNjones_PNUseCompCompCNUseNapcom_manager_N +Jones is an APCOM manager +Jones is an APCOM manager +Jones är en APCOM-direktör + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNcompany_car_N +does Jones have a company car +does Jones have a company car +har Jones en tjänstebil + + +SentenceUseClPresentPPosPredVPUsePNjones_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNcompany_car_N +Jones has a company car +Jones has a company car +Jones har en tjänstebil + + + +all APCOM managers have company cars +all APCOM managers have company cars +alla APCOM-direktörer har tjänstebilar + + + +Jones is an APCOM manager +Jones is an APCOM manager +Jones är en APCOM-direktör + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_oneUseNcompany_car_N +does Jones have more than one company car +does Jones have more than one company car +har Jones mer än en tjänstebil + + +SentenceUseClPresentPPosPredVPUsePNjones_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_oneUseNcompany_car_N +Jones has more than one company car +Jones has more than one company car +Jones har mer än en tjänstebil + + +SentenceUseClPastPPosPredVPPredetNPjust_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_oneUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +just one accountant attended the meeting +just one accountant attended the meeting +endast en bokförare närvarade vid mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantno_QuantNumPlUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did no accountants attend the meeting +did no accountants attend the meeting +närvarade inga bokförare vid mötet + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumPlUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +no accountants attended the meeting +no accountants attended the meeting +inga bokförare närvarade vid mötet + + + +just one accountant attended the meeting +just one accountant attended the meeting +endast en bokförare närvarade vid mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantno_QuantNumSgUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did no accountant attend the meeting +did no accountant attend the meeting +närvarade ingen bokförare vid mötet + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumSgUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +no accountant attended the meeting +no accountant attended the meeting +ingen bokförare närvarade vid mötet + + + +just one accountant attended the meeting +just one accountant attended the meeting +endast en bokförare närvarade vid mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNanyPl_DetUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did any accountants attend the meeting +did any accountants attend the meeting +närvarade några bokförare vid mötet + + +SentenceUseClPastPPosPredVPDetCNsomePl_DetUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +some accountants attended the meeting +some accountants attended the meeting +några bokförare närvarade vid mötet + + + +just one accountant attended the meeting +just one accountant attended the meeting +endast en bokförare närvarade vid mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNanySg_DetUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did any accountant attend the meeting +did any accountant attend the meeting +närvarade någon bokförare vid mötet + + +SentenceUseClPastPPosPredVPDetCNsomeSg_DetUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +some accountant attended the meeting +some accountant attended the meeting +någon bokförare närvarade vid mötet + + + +just one accountant attended the meeting +just one accountant attended the meeting +endast en bokförare närvarade vid mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNsomePl_DetUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did some accountants attend the meeting +did some accountants attend the meeting +närvarade några bokförare vid mötet + + + +some accountants attended the meeting +some accountants attended the meeting +några bokförare närvarade vid mötet + + + +just one accountant attended the meeting +just one accountant attended the meeting +endast en bokförare närvarade vid mötet + + +QuestionUseQClPastPPosQuestClPredVPDetCNsomeSg_DetUseNaccountant_NComplSlashSlashV2aattend_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did some accountant attend the meeting +did some accountant attend the meeting +närvarade någon bokförare vid mötet + + + +some accountant attended the meeting +some accountant attended the meeting +någon bokförare närvarade vid mötet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2asign_V2DetCNDetQuantIndefArtNumCardNumNumeralN_oneUseNcontract_N +Smith signed one contract +Smith signed one contract +Smith undertecknade ett kontrakt + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNanother_DetUseNcontract_N +Jones signed another contract +Jones signed another contract +Jones undertecknade ett annat kontrakt + + +QuestionUseQClPastPPosQuestClPredVPConjNP2and_ConjUsePNsmith_PNUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNcontract_N +did Smith and Jones sign two contracts +did Smith and Jones sign two contracts +undertecknade Smith och Jones två kontrakt + + +SentenceUseClPastPPosPredVPConjNP2and_ConjUsePNsmith_PNUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNcontract_N +Smith and Jones signed two contracts +Smith and Jones signed two contracts +Smith och Jones undertecknade två kontrakt + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2asign_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNcontract_N +Smith signed two contracts +Smith signed two contracts +Smith undertecknade två kontrakt + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNcontract_N +Jones signed two contracts +Jones signed two contracts +Jones undertecknade två kontrakt + + + +did Smith and Jones sign two contracts +did Smith and Jones sign two contracts +undertecknade Smith och Jones två kontrakt + + + +Smith and Jones signed two contracts +Smith and Jones signed two contracts +Smith och Jones undertecknade två kontrakt + + + +Smith signed two contracts +Smith signed two contracts +Smith undertecknade två kontrakt + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdVVPalso_AdVComplSlashSlashV2asign_V2UsePronthey_Pron +Jones also signed them +Jones also signed them +Jones undertecknade även dem + + + +did Smith and Jones sign two contracts +did Smith and Jones sign two contracts +undertecknade Smith och Jones två kontrakt + + + +Smith and Jones signed two contracts +Smith and Jones signed two contracts +Smith och Jones undertecknade två kontrakt + + +SentenceUseClPastPPosPredVPUsePNmary_PNComplSlashSlashV2ause_V2DetCNDetQuantPossPronsheRefl_PronNumSgUseNworkstation_N +Mary used her workstation +Mary used her workstation +Mary använde sin arbetsstation + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantGenNPUsePNmary_PNNumSgUseNworkstation_NPassV2suse_V2 +was Mary's workstation used +was Mary's workstation used +användes Marys arbetsstation + + +SentenceUseClPastPPosPredVPDetCNDetQuantGenNPUsePNmary_PNNumSgUseNworkstation_NPassV2suse_V2 +Mary's workstation was used +Mary's workstation was used +Marys arbetsstation användes + + + +Mary used her workstation +Mary used her workstation +Mary använde sin arbetsstation + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmary_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNworkstation_N +does Mary have a workstation +does Mary have a workstation +har Mary en arbetsstation + + +SentenceUseClPresentPPosPredVPUsePNmary_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNworkstation_N +Mary has a workstation +Mary has a workstation +Mary har en arbetsstation + + + +Mary used her workstation +Mary used her workstation +Mary använde sin arbetsstation + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmary_PNUseCompCompAPPositAfemale_A +is Mary female +is Mary female +är Mary kvinnlig + + +SentenceUseClPresentPPosPredVPUsePNmary_PNUseCompCompAPPositAfemale_A +Mary is female +Mary is female +Mary är kvinnlig + + +SentenceUseClPastPPosPredVPDetCNevery_DetUseNstudent_NComplSlashSlashV2ause_V2DetCNDetQuantPossPronsheRefl_PronNumSgUseNworkstation_N +every student used her workstation +every student used her workstation +varje student använde sin arbetsstation + + +SentenceUseClPresentPPosPredVPUsePNmary_PNUseCompCompCNUseNstudent_N +Mary is a student +Mary is a student +Mary är en student + + +QuestionUseQClPastPPosQuestClPredVPUsePNmary_PNComplSlashSlashV2ause_V2DetCNDetQuantPossPronsheRefl_PronNumSgUseNworkstation_N +did Mary use her workstation +did Mary use her workstation +använde Mary sin arbetsstation + + + +Mary used her workstation +Mary used her workstation +Mary använde sin arbetsstation + + + +every student used her workstation +every student used her workstation +varje student använde sin arbetsstation + + + +Mary is a student +Mary is a student +Mary är en student + + + +does Mary have a workstation +does Mary have a workstation +har Mary en arbetsstation + + + +Mary has a workstation +Mary has a workstation +Mary har en arbetsstation + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumSgUseNstudent_NComplSlashSlashV2ause_V2DetCNDetQuantPossPronsheRefl_PronNumSgUseNworkstation_N +no student used her workstation +no student used her workstation +ingen student använde sin arbetsstation + + + +Mary is a student +Mary is a student +Mary är en student + + +QuestionUseQClPastPPosQuestClPredVPUsePNmary_PNComplSlashSlashV2ause_V2DetCNDetQuantIndefArtNumSgUseNworkstation_N +did Mary use a workstation +did Mary use a workstation +använde Mary en arbetsstation + + +SentenceUseClPastPPosPredVPUsePNmary_PNComplSlashSlashV2ause_V2DetCNDetQuantIndefArtNumSgUseNworkstation_N +Mary used a workstation +Mary used a workstation +Mary använde en arbetsstation + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aattend_V2DetCNDetQuantIndefArtNumSgUseNmeeting_N +Smith attended a meeting +Smith attended a meeting +Smith närvarade vid ett möte + + +SentenceUseClPastPPosPredVPUsePronshe_PronComplSlashSlashV2achair_V2UsePronit_Pron +she chaired it +she chaired it +hon ledde det + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2achair_V2DetCNDetQuantIndefArtNumSgUseNmeeting_N +did Smith chair a meeting +did Smith chair a meeting +ledde Smith ett möte + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2achair_V2DetCNDetQuantIndefArtNumSgUseNmeeting_N +Smith chaired a meeting +Smith chaired a meeting +Smith ledde ett möte + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adeliver_V2DetCNDetQuantIndefArtNumSgUseNreport_NPrepNPto_PrepUsePNitel_PN +Smith delivered a report to ITEL +Smith delivered a report to ITEL +Smith lämnade en rapport till ITEL + + +SentenceUseClPastPPosPredVPUsePronshe_PronAdVVPalso_AdVComplSlashSlash2V3deliver_V3DetCNDetQuantIndefArtNumSgUseNinvoice_NUsePronthey_Pron +she also delivered them an invoice +she also delivered them an invoice +hon gav även dem en faktura + + +PSentenceand_PConjUseClPastPPosPredVPUsePronshe_PronComplSlashSlash2V3deliver_V3DetCNDetQuantIndefArtNumSgUseNproject_proposal_NUsePronthey_Pron +and she delivered them a project proposal +and she delivered them a project proposal +och hon gav dem ett projektförslag + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adeliver_V2ConjNP3and_ConjDetCNDetQuantIndefArtNumSgUseNreport_NDetCNDetQuantIndefArtNumSgUseNinvoice_NDetCNDetQuantIndefArtNumSgUseNproject_proposal_NPrepNPto_PrepUsePNitel_PN +did Smith deliver a report , an invoice and a project proposal to ITEL +did Smith deliver a report , an invoice and a project proposal to ITEL +lämnade Smith en rapport , en faktura och ett projektförslag till ITEL + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adeliver_V2ConjNP3and_ConjDetCNDetQuantIndefArtNumSgUseNreport_NDetCNDetQuantIndefArtNumSgUseNinvoice_NDetCNDetQuantIndefArtNumSgUseNproject_proposal_NPrepNPto_PrepUsePNitel_PN +Smith delivered a report , an invoice and a project proposal to ITEL +Smith delivered a report , an invoice and a project proposal to ITEL +Smith lämnade en rapport , en faktura och ett projektförslag till ITEL + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNcommittee_NComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNchairman_N +every committee has a chairman +every committee has a chairman +varje kommitté har en ordförande + + +SentenceUseClPresentPPosPredVPUsePronhe_PronAdvVPPassV2sappoint_V2PrepNPby8agent_PrepDetCNDetQuantPossPronit_PronNumPlUseNmember_N +he is appointed by its members +he is appointed by its members +han utnämns av dess medlemmar + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetUseNcommittee_NComplSlashSlashV2ahave_V2AdvNPPPartNPDetCNDetQuantIndefArtNumSgUseNchairman_Nappoint_V2PrepNPby8agent_PrepDetCNDetQuantIndefArtNumPlAdvCNUseNmember_NPrepNPpossess_PrepDetCNDetQuantDefArtNumSgUseNcommittee_N +does every committee have a chairman appointed by members of the committee +does every committee have a chairman appointed by members of the committee +har varje kommitté en ordförande utnämnd av medlemmar av kommittén + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNcommittee_NComplSlashSlashV2ahave_V2AdvNPPPartNPDetCNDetQuantIndefArtNumSgUseNchairman_Nappoint_V2PrepNPby8agent_PrepDetCNDetQuantIndefArtNumPlAdvCNUseNmember_NPrepNPpossess_PrepDetCNDetQuantDefArtNumSgUseNcommittee_N +every committee has a chairman appointed by members of the committee +every committee has a chairman appointed by members of the committee +varje kommitté har en ordförande utnämnd av medlemmar av kommittén + + +SentenceUseClPresentPerfectPPosPredVPUsePNitel_PNComplSlashSlashV2asend_V2PredetNPmost_of_PredetDetCNDetQuantDefArtNumPlRelCNUseNreport_NUseRClPresentPPosEmptyRelSlashSlashVPUsePNsmith_PNSlashV2aneed_V2 +ITEL has sent most of the reports Smith needs +ITEL has sent most of the reports Smith needs +ITEL har skickat de flesta av rapporterna Smith behöver + + +SentenceUseClPresentPPosPredVPUsePronthey_PronUseCompCompAdvPrepNPon_PrepDetCNDetQuantPossPronshe_PronNumSgUseNdesk_N +they are on her desk +they are on her desk +de är på hennes skrivbord + + +QuestionUseQClPresentPPosQuestClExistNPAdvNPDetCNsomePl_DetAdvCNUseNreport_NPrepNPfrom_PrepUsePNitel_PNPrepNPon_PrepDetCNDetQuantGenNPUsePNsmith_PNNumSgUseNdesk_N +are there some reports from ITEL on Smith's desk +are there some reports from ITEL on Smith's desk +finns det några rapporter från ITEL på Smiths skrivbord + + +SentenceUseClPresentPPosExistNPAdvNPDetCNsomePl_DetAdvCNUseNreport_NPrepNPfrom_PrepUsePNitel_PNPrepNPon_PrepDetCNDetQuantGenNPUsePNsmith_PNNumSgUseNdesk_N +there are some reports from ITEL on Smith's desk +there are some reports from ITEL on Smith's desk +det finns några rapporter från ITEL på Smiths skrivbord + + +SentenceUseClPresentPPosPredVPAdvNPDetNPDetQuantIndefArtNumCardNumNumeralN_twoPrepNPout_of_PrepDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNmachine_NUseCompCompAPPositAmissing_A +two out of ten machines are missing +two out of ten machines are missing +två av tio maskiner är försvunna + + +SentenceUseClPresentPerfectPPosPredVPUsePronthey_PronPassV2sremove_V2 +they have been removed +they have been removed +de har avlägsnats + + +QuestionUseQClPresentPerfectPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNmachine_NPassV2sremove_V2 +have two machines been removed +have two machines been removed +har två maskiner avlägsnats + + +SentenceUseClPresentPerfectPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNmachine_NPassV2sremove_V2 +two machines have been removed +two machines have been removed +två maskiner har avlägsnats + + + +two out of ten machines are missing +two out of ten machines are missing +två av tio maskiner är försvunna + + + +they have been removed +they have been removed +de har avlägsnats + + +QuestionUseQClPresentPerfectPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_eightUseNmachine_NPassV2sremove_V2 +have eight machines been removed +have eight machines been removed +har åtta maskiner avlägsnats + + +SentenceUseClPresentPerfectPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_eightUseNmachine_NPassV2sremove_V2 +eight machines have been removed +eight machines have been removed +åtta maskiner har avlägsnats + + + +two out of ten machines are missing +two out of ten machines are missing +två av tio maskiner är försvunna + + +SentenceUseClPastPPosPredVPUsePronthey_PronAdvVPAdVVPall_AdVUseCompCompAdvhere_Advyesterday_Adv +they were all here yesterday +they were all here yesterday +de var alla här igår + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNmachine_NAdvVPUseCompCompAdvhere_Advyesterday_Adv +were ten machines here yesterday +were ten machines here yesterday +var tio maskiner här igår + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNmachine_NAdvVPUseCompCompAdvhere_Advyesterday_Adv +ten machines were here yesterday +ten machines were here yesterday +tio maskiner var här igår + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumSgUseNmachine_Non_tuesday_AdvUseClPastPPosPredVPUsePNjones_PNAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumSgUseNmachine_Non_wednesday_Adv +Smith took a machine on Tuesday , and Jones took a machine on Wednesday +Smith took a machine on Tuesday , and Jones took a machine on Wednesday +Smith tog en maskin på tisdagen , och Jones tog en maskin på onsdagen + + +SentenceUseClPastPPosPredVPUsePronthey_PronComplSlashSlash3V3put_in_V3DetCNDetQuantDefArtNumSgUseNlobby_NUsePronthey_Pron +they put them in the lobby +they put them in the lobby +de ställde dem i vestibulen + + +QuestionUseQClPastPPosQuestClPredVPConjNP2and_ConjUsePNsmith_PNUsePNjones_PNComplSlashSlash3V3put_in_V3DetCNDetQuantDefArtNumSgUseNlobby_NDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNmachine_N +did Smith and Jones put two machines in the lobby +did Smith and Jones put two machines in the lobby +ställde Smith och Jones två maskiner i vestibulen + + +SentenceUseClPastPPosPredVPConjNP2and_ConjUsePNsmith_PNUsePNjones_PNComplSlashSlash3V3put_in_V3DetCNDetQuantDefArtNumSgUseNlobby_NDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNmachine_N +Smith and Jones put two machines in the lobby +Smith and Jones put two machines in the lobby +Smith och Jones ställde två maskiner i vestibulen + + +SentenceUseClPastPPosPredVPConjNP2and_ConjUsePNjohn_PNDetCNDetQuantPossPronhe_PronNumPlUseNcolleague_NAdvVPUseVgo8walk_VPrepNPto_PrepDetCNDetQuantIndefArtNumSgUseNmeeting_N +John and his colleagues went to a meeting +John and his colleagues went to a meeting +John och hans kollegor gick till ett möte + + +SentenceUseClPastPPosPredVPUsePronthey_PronComplSlashSlashV2ahate_V2UsePronit_Pron +they hated it +they hated it +de hatade det + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantGenNPUsePNjohn_PNNumPlUseNcolleague_NComplSlashSlashV2ahate_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did John's colleagues hate the meeting +did John's colleagues hate the meeting +hatade Johns kollegor mötet + + +SentenceUseClPastPPosPredVPDetCNDetQuantGenNPUsePNjohn_PNNumPlUseNcolleague_NComplSlashSlashV2ahate_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +John's colleagues hated the meeting +John's colleagues hated the meeting +Johns kollegor hatade mötet + + + +John and his colleagues went to a meeting +John and his colleagues went to a meeting +John och hans kollegor gick till ett möte + + + +they hated it +they hated it +de hatade det + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNComplSlashSlashV2ahate_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did John hate the meeting +did John hate the meeting +hatade John mötet + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2ahate_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +John hated the meeting +John hated the meeting +John hatade mötet + + + +John and his colleagues went to a meeting +John and his colleagues went to a meeting +John och hans kollegor gick till ett möte + + + +they hated it +they hated it +de hatade det + + + +did John hate the meeting +did John hate the meeting +hatade John mötet + + + +John hated the meeting +John hated the meeting +John hatade mötet + + +SentenceUseClPresentPPosPredVPDetCNeach_DetUseNdepartment_NComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdjCNPositAdedicated_AUseNline_N +each department has a dedicated line +each department has a dedicated line +varje avdelning har en särskild linje + + +SentenceUseClPresentPPosPredVPUsePronthey_PronComplSlashSlash3V3rent_from_V3UsePNbt_PNUsePronthey_Pron +they rent them from BT +they rent them from BT +de hyr dem från BT + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetUseNdepartment_NComplSlashSlash3V3rent_from_V3UsePNbt_PNDetCNDetQuantIndefArtNumSgUseNline_N +does every department rent a line from BT +does every department rent a line from BT +hyr varje avdelning en linje från BT + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNdepartment_NComplSlashSlash3V3rent_from_V3UsePNbt_PNDetCNDetQuantIndefArtNumSgUseNline_N +every department rents a line from BT +every department rents a line from BT +varje avdelning hyr en linje från BT + + + +each department has a dedicated line +each department has a dedicated line +varje avdelning har en särskild linje + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNsales_department_NComplSlashSlash3V3rent_from_V3UsePNbt_PNUsePronit_Pron +the sales department rents it from BT +the sales department rents it from BT +försäljningsavdelningen hyr det från BT + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNsales_department_NComplSlashSlash3V3rent_from_V3UsePNbt_PNDetCNDetQuantIndefArtNumSgUseNline_N +does the sales department rent a line from BT +does the sales department rent a line from BT +hyr försäljningsavdelningen en linje från BT + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNsales_department_NComplSlashSlash3V3rent_from_V3UsePNbt_PNDetCNDetQuantIndefArtNumSgUseNline_N +the sales department rents a line from BT +the sales department rents a line from BT +försäljningsavdelningen hyr en linje från BT + + +SentenceUseClPresentPPosPredVPUsePNgfi_PNComplSlashSlashV2aown_V2DetCNseveral_DetUseNcomputer_N +GFI owns several computers +GFI owns several computers +GFI äger flera datorer + + +SentenceUseClPresentPPosPredVPUsePNitel_PNComplSlashSlashV2amaintain_V2UsePronthey_Pron +ITEL maintains them +ITEL maintains them +ITEL servar dem + + +QuestionUseQClPresentPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2amaintain_V2PredetNPall_PredetDetCNDetQuantDefArtNumPlRelCNUseNcomputer_NUseRClPresentPPosRelSlashthat_RPSlashVPUsePNgfi_PNSlashV2aown_V2 +does ITEL maintain all the computers that GFI owns +does ITEL maintain all the computers that GFI owns +servar ITEL alla datorerna som GFI äger + + +SentenceUseClPresentPPosPredVPUsePNitel_PNComplSlashSlashV2amaintain_V2PredetNPall_PredetDetCNDetQuantDefArtNumPlRelCNUseNcomputer_NUseRClPresentPPosRelSlashthat_RPSlashVPUsePNgfi_PNSlashV2aown_V2 +ITEL maintains all the computers that GFI owns +ITEL maintains all the computers that GFI owns +ITEL servar alla datorerna som GFI äger + + +SentenceUseClPresentPPosPredVPDetCNevery_DetRelCNUseNcustomer_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgUseNcomputer_NAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNservice_contract_NPrepNPfor_PrepUsePronit_Pron +every customer who owns a computer has a service contract for it +every customer who owns a computer has a service contract for it +varje kund som äger en dator har ett servicekontrakt för det + + +SentenceUseClPresentPPosPredVPUsePNmfi_PNUseCompCompCNRelCNUseNcustomer_NUseRClPresentPPosRelVPthat_RPComplSlashSlashV2aown_V2PredetNPexactly_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_oneUseNcomputer_N +MFI is a customer that owns exactly one computer +MFI is a customer that owns exactly one computer +MFI är en kund som äger exakt en dator + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmfi_PNAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNservice_contract_NPrepNPfor_PrepPredetNPall_PredetDetCNDetQuantPossPronitRefl_PronNumPlUseNcomputer_N +does MFI have a service contract for all its computers +does MFI have a service contract for all its computers +har MFI ett servicekontrakt för alla sina datorer + + +SentenceUseClPresentPPosPredVPUsePNmfi_PNAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNservice_contract_NPrepNPfor_PrepPredetNPall_PredetDetCNDetQuantPossPronitRefl_PronNumPlUseNcomputer_N +MFI has a service contract for all its computers +MFI has a service contract for all its computers +MFI har ett servicekontrakt för alla sina datorer + + + +every customer who owns a computer has a service contract for it +every customer who owns a computer has a service contract for it +varje kund som äger en dator har ett servicekontrakt för det + + +SentenceUseClPresentPPosPredVPUsePNmfi_PNUseCompCompCNRelCNUseNcustomer_NUseRClPresentPPosRelVPthat_RPComplSlashSlashV2aown_V2DetCNseveral_DetUseNcomputer_N +MFI is a customer that owns several computers +MFI is a customer that owns several computers +MFI är en kund som äger flera datorer + + + +does MFI have a service contract for all its computers +does MFI have a service contract for all its computers +har MFI ett servicekontrakt för alla sina datorer + + + +MFI has a service contract for all its computers +MFI has a service contract for all its computers +MFI har ett servicekontrakt för alla sina datorer + + +SentenceUseClPastPPosPredVPDetCNevery_DetRelCNUseNexecutive_NUseRClPastPPosRelVPIdRPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNlaptop_computer_NComplSlashSlashV2Vbring_V2VAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumPlUseNnote_NPrepNPat_PrepDetCNDetQuantDefArtNumSgUseNmeeting_NUsePronit_Pron +every executive who had a laptop computer brought it to take notes at the meeting +every executive who had a laptop computer brought it to take notes at the meeting +varje företagsledare som hade en laptop tog med det att ta anteckningar på mötet + + +SentenceUseClPresentPPosPredVPUsePNsmith_PNUseCompCompCNRelCNUseNexecutive_NUseRClPresentPPosRelVPIdRPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumCardNumNumeralN_fiveAdjCNPositAdifferent_AUseNlaptop_computer_N +Smith is an executive who owns five different laptop computers +Smith is an executive who owns five different laptop computers +Smith är en företagsledare som äger fem olika laptopar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumCardNumNumeralN_fiveUseNlaptop_computer_NPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +did Smith take five laptop computers to the meeting +did Smith take five laptop computers to the meeting +tog Smith fem laptopar till mötet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumCardNumNumeralN_fiveUseNlaptop_computer_NPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNmeeting_N +Smith took five laptop computers to the meeting +Smith took five laptop computers to the meeting +Smith tog fem laptopar till mötet + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumCardNumNumeralN_100UseNcompany_N +there are 100 companies +there are 100 companies +det finns 100 företag + + +SentencePredVPSUsePNicm_PNConjVPS2and_ConjPresentPPosUseCompCompNPAdvNPDetNPDetQuantIndefArtNumCardNumNumeralN_onePrepNPpart_PrepDetCNDetQuantDefArtNumPlUseNcompany_NPresentPPosComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumCardNumNumeralN_150UseNcomputer_N +ICM is one of the companies and owns 150 computers +ICM is one of the companies and owns 150 computers +ICM är ett av företagen och äger 150 datorer + + +SentenceUseClPresentUncNegPredVPUsePronit_PronAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumPlUseNservice_contract_NPrepNPfor_PrepAdvNPDetNPanySg_DetPrepNPpart_PrepDetCNDetQuantPossPronitRefl_PronNumPlUseNcomputer_N +it does not have service contracts for any of its computers +it does not have service contracts for any of its computers +det har inte servicekontrakt för något av sina datorer + + +SentenceUseClPresentPPosPredVPAdvNPDetNPeach_DetPrepNPpart_PrepDetCNDetQuantthe_other_QNumCardNumNumeralN_99UseNcompany_NComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumCardNumNumeralN_oneUseNcomputer_N +each of the other 99 companies owns one computer +each of the other 99 companies owns one computer +vart och ett av de andra 99 företagen äger en dator + + +SentenceUseClPresentPPosPredVPUsePronthey_PronAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumPlUseNservice_contract_NPrepNPfor_PrepUsePronthey_Pron +they have service contracts for them +they have service contracts for them +de har servicekontrakt för dem + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlRelCNUseNcompany_NUseRClPresentPPosRelVPthat_RPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgUseNcomputer_NAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNservice_contract_NPrepNPfor_PrepUsePronit_Pron +do most companies that own a computer have a service contract for it +do most companies that own a computer have a service contract for it +har de flesta företag som äger en dator ett servicekontrakt för det + + +SentenceUseClPresentPPosPredVPPredetNPmost_PredetDetCNDetQuantIndefArtNumPlRelCNUseNcompany_NUseRClPresentPPosRelVPthat_RPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgUseNcomputer_NAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNservice_contract_NPrepNPfor_PrepUsePronit_Pron +most companies that own a computer have a service contract for it +most companies that own a computer have a service contract for it +de flesta företag som äger en dator har ett servicekontrakt för det + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNreport_NComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNcover_page_N +every report has a cover page +every report has a cover page +varje rapport har en förstasida + + +SentenceUseClPresentPPosPredVPUsePNr95103_PNUseCompCompCNUseNreport_N +R-95-103 is a report +R-95-103 is a report +R-95-103 är en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcover_page_N +Smith signed the cover page +Smith signed the cover page +Smith undertecknade förstasidan + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgAdvCNUseNcover_page_NPrepNPpossess_PrepUsePNr95103_PN +did Smith sign the cover page of R-95-103 +did Smith sign the cover page of R-95-103 +undertecknade Smith förstasidan av R-95-103 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgAdvCNUseNcover_page_NPrepNPpossess_PrepUsePNr95103_PN +Smith signed the cover page of R-95-103 +Smith signed the cover page of R-95-103 +Smith undertecknade förstasidan av R-95-103 + + +SentenceUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNcompany_director_NReflVPSlash3V3award_V3DetCNDetQuantIndefArtNumSgAdjCNPositAlarge_AUseNpayrise_N +a company director awarded himself a large payrise +a company director awarded himself a large payrise +en företagsledare tilldelade sig en stor löneförhöjning + + +QuestionUseQClPresentPerfectPPosQuestClPredVPDetCNDetQuantIndefArtNumSgUseNcompany_director_NComplSlashSlashV2aaward_and_be_awarded_V2DetCNDetQuantIndefArtNumSgUseNpayrise_N +has a company director awarded and been awarded a payrise +has a company director awarded and been awarded a payrise +har en företagsledare tilldelat och tilldelats en löneförhöjning + + +SentenceUseClPresentPerfectPPosPredVPDetCNDetQuantIndefArtNumSgUseNcompany_director_NComplSlashSlashV2aaward_and_be_awarded_V2DetCNDetQuantIndefArtNumSgUseNpayrise_N +a company director has awarded and been awarded a payrise +a company director has awarded and been awarded a payrise +en företagsledare har tilldelat och tilldelats en löneförhöjning + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplVSasay_VSUseClPastPerfectPPosPredVPUsePNbill_PNReflVPSlashV2ahurt_V2 +John said Bill had hurt himself +John said Bill had hurt himself +John sade att Bill hade skadat sig + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNComplVSasay_VSUseClPastPerfectPPosPredVPUsePNbill_PNPassV2shurt_V2 +did John say Bill had been hurt +did John say Bill had been hurt +sade John att Bill hade skadats + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplVSasay_VSUseClPastPerfectPPosPredVPUsePNbill_PNPassV2shurt_V2 +John said Bill had been hurt +John said Bill had been hurt +John sade att Bill hade skadats + + + +John said Bill had hurt himself +John said Bill had hurt himself +John sade att Bill hade skadat sig + + +QuestionUseQClPastPPosQuestClPredVPUsePronanyone_PronComplVSasay_VSUseClPastPerfectPPosPredVPUsePNjohn_PNPassV2shurt_V2 +did anyone say John had been hurt +did anyone say John had been hurt +sade någon att John hade skadats + + +SentenceUseClPastPPosPredVPUsePronsomeone_PronComplVSasay_VSUseClPastPerfectPPosPredVPUsePNjohn_PNPassV2shurt_V2 +someone said John had been hurt +someone said John had been hurt +någon sade att John hade skadats + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +John spoke to Mary +John spoke to Mary +John talade med Mary + + +SentenceUseClPastPPosSoDoIUsePNbill_PN +so did Bill +so did Bill +det gjorde Bill också + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +did Bill speak to Mary +did Bill speak to Mary +talade Bill med Mary + + +SentenceUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +Bill spoke to Mary +Bill spoke to Mary +Bill talade med Mary + + + +John spoke to Mary +John spoke to Mary +John talade med Mary + + + +so did Bill +so did Bill +det gjorde Bill också + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNat_four_oclock_Adv +John spoke to Mary at four o'clock +John spoke to Mary at four o'clock +John talade med Mary klockan fyra + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNat_four_oclock_Adv +did Bill speak to Mary at four o'clock +did Bill speak to Mary at four o'clock +talade Bill med Mary klockan fyra + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNat_four_oclock_Adv +Bill spoke to Mary at four o'clock +Bill spoke to Mary at four o'clock +Bill talade med Mary klockan fyra + + + +John spoke to Mary at four o'clock +John spoke to Mary at four o'clock +John talade med Mary klockan fyra + + + +so did Bill +so did Bill +det gjorde Bill också + + + +did Bill speak to Mary at four o'clock +did Bill speak to Mary at four o'clock +talade Bill med Mary klockan fyra + + + +Bill spoke to Mary at four o'clock +Bill spoke to Mary at four o'clock +Bill talade med Mary klockan fyra + + + +John spoke to Mary at four o'clock +John spoke to Mary at four o'clock +John talade med Mary klockan fyra + + +PSentenceand_PConjUseClPastPPosPredVPUsePNbill_PNAdvVPComplVVdo_VVelliptic_VPat_five_oclock_Adv +and Bill did [..] at five o'clock +and Bill did [..] at five o'clock +och Bill gjorde [..] klockan fem + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNat_five_oclock_Adv +did Bill speak to Mary at five o'clock +did Bill speak to Mary at five o'clock +talade Bill med Mary klockan fem + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNat_five_oclock_Adv +Bill spoke to Mary at five o'clock +Bill spoke to Mary at five o'clock +Bill talade med Mary klockan fem + + +SentenceUseClPresentPerfectPPosPredVPUsePNjohn_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +John has spoken to Mary +John has spoken to Mary +John har talat med Mary + + +SentenceUseClPresentPPosPredVPUsePNbill_PNProgrVPaComplVVgoing_to_VVelliptic_VP +Bill is going to [..] +Bill is going to [..] +Bill kommer att [..] + + +QuestionUseQClFuturePPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +will Bill speak to Mary +will Bill speak to Mary +ska Bill tala med Mary + + +SentenceUseClFuturePPosPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +Bill will speak to Mary +Bill will speak to Mary +Bill ska tala med Mary + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNon_monday_Adv +John spoke to Mary on Monday +John spoke to Mary on Monday +John talade med Mary på måndagen + + +SentenceUseClPastPNegPredVPUsePNbill_PNelliptic_VP +Bill didn't [..] +Bill didn't [..] +Bill [..] inte + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNon_monday_Adv +did Bill speak to Mary on Monday +did Bill speak to Mary on Monday +talade Bill med Mary på måndagen + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNon_monday_Adv +Bill spoke to Mary on Monday +Bill spoke to Mary on Monday +Bill talade med Mary på måndagen + + +QuestionUseQClPresentPerfectPPosQuestClPredVPUsePNjohn_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +has John spoken to Mary +has John spoken to Mary +har John talat med Mary + + +SentenceUseClPresentPerfectPPosPredVPUsePNbill_PNelliptic_VP +Bill has [..] +Bill has [..] +Bill har [..] + + +QuestionUseQClPresentPerfectPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +has Bill spoken to Mary +has Bill spoken to Mary +har Bill talat med Mary + + +SentenceUseClPresentPerfectPPosPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +Bill has spoken to Mary +Bill has spoken to Mary +Bill har talat med Mary + + + +John has spoken to Mary +John has spoken to Mary +John har talat med Mary + + +SentenceUseClPresentPerfectPPosPredVPDetCNDetQuantDefArtNumPlUseNstudent_NAdvVPelliptic_VPtoo_Adv +the students have [..] too +the students have [..] too +studenterna har [..] också + + +QuestionUseQClPresentPerfectPPosQuestClPredVPDetCNDetQuantDefArtNumPlUseNstudent_NComplSlashSlashV2aspeak_to_V2UsePNmary_PN +have the students spoken to Mary +have the students spoken to Mary +har studenterna talat med Mary + + +SentenceUseClPresentPerfectPPosPredVPDetCNDetQuantDefArtNumPlUseNstudent_NComplSlashSlashV2aspeak_to_V2UsePNmary_PN +the students have spoken to Mary +the students have spoken to Mary +studenterna har talat med Mary + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNcar_NUseClPastPPosPredVPUsePNbill_PNAdvVPelliptic_VPPrepNPby8means_PrepMassNPUseNtrain_N +John went to Paris by car , and Bill [..] by train +John went to Paris by car , and Bill [..] by train +John åkte till Paris med bil , och Bill [..] med tåg + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNtrain_N +did Bill go to Paris by train +did Bill go to Paris by train +åkte Bill till Paris med tåg + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNtrain_N +Bill went to Paris by train +Bill went to Paris by train +Bill åkte till Paris med tåg + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNcar_NUseClPastPPosPredVPUsePNbill_PNAdvVPAdvVPelliptic_VPPrepNPby8means_PrepMassNPUseNtrain_NPrepNPto_PrepUsePNberlin_PN +John went to Paris by car , and Bill [..] by train to Berlin +John went to Paris by car , and Bill [..] by train to Berlin +John åkte till Paris med bil , och Bill [..] med tåg till Berlin + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNberlin_PNPrepNPby8means_PrepMassNPUseNtrain_N +did Bill go to Berlin by train +did Bill go to Berlin by train +åkte Bill till Berlin med tåg + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNberlin_PNPrepNPby8means_PrepMassNPUseNtrain_N +Bill went to Berlin by train +Bill went to Berlin by train +Bill åkte till Berlin med tåg + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNcar_NUseClPastPPosPredVPUsePNbill_PNAdvVPelliptic_VPPrepNPto_PrepUsePNberlin_PN +John went to Paris by car , and Bill [..] to Berlin +John went to Paris by car , and Bill [..] to Berlin +John åkte till Paris med bil , och Bill [..] till Berlin + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNberlin_PNPrepNPby8means_PrepMassNPUseNcar_N +did Bill go to Berlin by car +did Bill go to Berlin by car +åkte Bill till Berlin med bil + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNberlin_PNPrepNPby8means_PrepMassNPUseNcar_N +Bill went to Berlin by car +Bill went to Berlin by car +Bill åkte till Berlin med bil + + +SentenceConjS2comma_and_ConjUseClPresentPPosPredVPUsePNjohn_PNAdvVPAdvVPProgrVPaUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNcar_NUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlUseNstudent_NAdvVPelliptic_VPPrepNPby8means_PrepMassNPUseNtrain_N +John is going to Paris by car , and the students [..] by train +John is going to Paris by car , and the students [..] by train +John åker till Paris med bil , och studenterna [..] med tåg + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumPlUseNstudent_NAdvVPAdvVPProgrVPaUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNtrain_N +are the students going to Paris by train +are the students going to Paris by train +åker studenterna till Paris med tåg + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumPlUseNstudent_NAdvVPAdvVPProgrVPaUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNtrain_N +the students are going to Paris by train +the students are going to Paris by train +studenterna åker till Paris med tåg + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNparis_PNPrepNPby8means_PrepMassNPUseNcar_N +John went to Paris by car +John went to Paris by car +John åkte till Paris med bil + + +SentenceUseClPastPPosPredVPUsePNbill_PNAdvVPelliptic_VPPrepNPby8means_PrepMassNPUseNtrain_N +Bill [..] by train +Bill [..] by train +Bill [..] med tåg + + + +did Bill go to Paris by train +did Bill go to Paris by train +åkte Bill till Paris med tåg + + + +Bill went to Paris by train +Bill went to Paris by train +Bill åkte till Paris med tåg + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgUseNcar_N +John owns a car +John owns a car +John äger en bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNAdvVPComplSlashSlashV2aown_V2DetNPDetQuantIndefArtNumSgtoo_Adv +Bill owns one too +Bill owns one too +Bill äger ett också + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgUseNcar_N +does Bill own a car +does Bill own a car +äger Bill en bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgUseNcar_N +Bill owns a car +Bill owns a car +Bill äger en bil + + + +John owns a car +John owns a car +John äger en bil + + + +Bill owns one too +Bill owns one too +Bill äger ett också + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumSgRelCNUseNcar_NUseRClPresentPPosRelSlashthat_RPSlashVPConjNP2and_ConjUsePNjohn_PNUsePNbill_PNSlashV2aown_V2 +is there a car that John and Bill own +is there a car that John and Bill own +finns det en bil som John och Bill äger + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumSgRelCNUseNcar_NUseRClPresentPPosRelSlashthat_RPSlashVPConjNP2and_ConjUsePNjohn_PNUsePNbill_PNSlashV2aown_V2 +there is a car that John and Bill own +there is a car that John and Bill own +det finns en bil som John och Bill äger + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAred_AUseNcar_N +John owns a red car +John owns a red car +John äger en röd bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAblue_AUseNone_N +Bill owns a blue one +Bill owns a blue one +Bill äger en blå en + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAblue_AUseNcar_N +does Bill own a blue car +does Bill own a blue car +äger Bill en blå bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAblue_AUseNcar_N +Bill owns a blue car +Bill owns a blue car +Bill äger en blå bil + + + +John owns a red car +John owns a red car +John äger en röd bil + + + +Bill owns a blue one +Bill owns a blue one +Bill äger en blå en + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAred_AUseNcar_N +does Bill own a red car +does Bill own a red car +äger Bill en röd bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAred_AUseNcar_N +Bill owns a red car +Bill owns a red car +Bill äger en röd bil + + + +John owns a red car +John owns a red car +John äger en röd bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAfast_AUseNone_N +Bill owns a fast one +Bill owns a fast one +Bill äger en snabb en + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAfast_AUseNcar_N +does Bill own a fast car +does Bill own a fast car +äger Bill en snabb bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAfast_AUseNcar_N +Bill owns a fast car +Bill owns a fast car +Bill äger en snabb bil + + + +John owns a red car +John owns a red car +John äger en röd bil + + + +Bill owns a fast one +Bill owns a fast one +Bill äger en snabb en + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAfast_AAdjCNPositAred_AUseNcar_N +does Bill own a fast red car +does Bill own a fast red car +äger Bill en snabb röd bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAfast_AAdjCNPositAred_AUseNcar_N +Bill owns a fast red car +Bill owns a fast red car +Bill äger en snabb röd bil + + + +John owns a red car +John owns a red car +John äger en röd bil + + + +Bill owns a fast one +Bill owns a fast one +Bill äger en snabb en + + + +does Bill own a fast red car +does Bill own a fast red car +äger Bill en snabb röd bil + + + +Bill owns a fast red car +Bill owns a fast red car +Bill äger en snabb röd bil + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAfast_AAdjCNPositAred_AUseNcar_N +John owns a fast red car +John owns a fast red car +John äger en snabb röd bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAslow_AUseNone_N +Bill owns a slow one +Bill owns a slow one +Bill äger en långsam en + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAslow_AAdjCNPositAred_AUseNcar_N +does Bill own a slow red car +does Bill own a slow red car +äger Bill en långsam röd bil + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdjCNPositAslow_AAdjCNPositAred_AUseNcar_N +Bill owns a slow red car +Bill owns a slow red car +Bill äger en långsam röd bil + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2ahave_V2PPartNPDetCNDetQuantPossPronheRefl_PronNumSgUseNpaper_Naccept_V2 +John had his paper accepted +John had his paper accepted +John hade sin uppsats godkänd + + +SentenceUseClPresentPNegPredVPUsePNbill_PNComplVQknow_VQUseQClPastPPosQuestIAdvwhy_IAdvelliptic_Cl +Bill doesn't know why [..] +Bill doesn't know why [..] +Bill vet inte varför [..] + + +QuestionUseQClPresentPPosQuestClPredVPUsePNbill_PNComplVQknow_VQUseQClPastPPosQuestIAdvwhy_IAdvPredVPUsePNjohn_PNComplSlashSlashV2ahave_V2PPartNPDetCNDetQuantPossPronheRefl_PronNumSgUseNpaper_Naccept_V2 +does Bill know why John had his paper accepted +does Bill know why John had his paper accepted +vet Bill varför John hade sin uppsats godkänd + + +SentenceUseClPresentPPosPredVPUsePNbill_PNComplVQknow_VQUseQClPastPPosQuestIAdvwhy_IAdvPredVPUsePNjohn_PNComplSlashSlashV2ahave_V2PPartNPDetCNDetQuantPossPronheRefl_PronNumSgUseNpaper_Naccept_V2 +Bill knows why John had his paper accepted +Bill knows why John had his paper accepted +Bill vet varför John hade sin uppsats godkänd + + + +John spoke to Mary +John spoke to Mary +John talade med Mary + + +PAdverbialand_PConjPrepNPto_PrepUsePNsue_PN +and to Sue +and to Sue +och till Sue + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNComplSlashSlashV2aspeak_to_V2UsePNsue_PN +did John speak to Sue +did John speak to Sue +talade John med Sue + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2aspeak_to_V2UsePNsue_PN +John spoke to Sue +John spoke to Sue +John talade med Sue + + + +John spoke to Mary +John spoke to Mary +John talade med Mary + + +Adverbialon_friday_Adv +on Friday +on Friday +på fredagen + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNon_friday_Adv +did John speak to Mary on Friday +did John speak to Mary on Friday +talade John med Mary på fredagen + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNon_friday_Adv +John spoke to Mary on Friday +John spoke to Mary on Friday +John talade med Mary på fredagen + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2aspeak_to_V2UsePNmary_PNon_thursday_Adv +John spoke to Mary on Thursday +John spoke to Mary on Thursday +John talade med Mary på torsdagen + + +PAdverbialand_PConjon_friday_Adv +and on Friday +and on Friday +och på fredagen + + + +did John speak to Mary on Friday +did John speak to Mary on Friday +talade John med Mary på fredagen + + + +John spoke to Mary on Friday +John spoke to Mary on Friday +John talade med Mary på fredagen + + +SentenceUseClPresentPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_twentyUseNman_NComplSlashSlashV2awork_in_V2DetCNDetQuantDefArtNumSgUseNsales_department_N +twenty men work in the sales department +twenty men work in the sales department +tjugo män arbetar på försäljningsavdelningen + + +PNounphrasebut_PConjPredetNPonly_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_oneUseNwoman_N +but only one woman +but only one woman +men bara en kvinna + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNwoman_NComplSlashSlashV2awork_in_V2DetCNDetQuantDefArtNumSgUseNsales_department_N +do two women work in the sales department +do two women work in the sales department +arbetar två kvinnor på försäljningsavdelningen + + +SentenceUseClPresentPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNwoman_NComplSlashSlashV2awork_in_V2DetCNDetQuantDefArtNumSgUseNsales_department_N +two women work in the sales department +two women work in the sales department +två kvinnor arbetar på försäljningsavdelningen + + +SentenceUseClPresentPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_fiveUseNman_NAdvVPUseVwork_Vpart_time_Adv +five men work part time +five men work part time +fem män arbetar deltid + + +PNounphraseand_PConjDetCNDetQuantIndefArtNumCardNumNumeralN_fortyfiveUseNwoman_N +and forty five women +and forty five women +och fyrtiofem kvinnor + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_fortyfiveUseNwoman_NAdvVPUseVwork_Vpart_time_Adv +do forty five women work part time +do forty five women work part time +arbetar fyrtiofem kvinnor deltid + + +SentenceUseClPresentPPosPredVPDetCNDetQuantIndefArtNumCardNumNumeralN_fortyfiveUseNwoman_NAdvVPUseVwork_Vpart_time_Adv +forty five women work part time +forty five women work part time +fyrtiofem kvinnor arbetar deltid + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2afind_V2UsePNmary_PNPrepNPbefore_PrepUsePNbill_PN +John found Mary before Bill +John found Mary before Bill +John hittade Mary före Bill + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNAdvVPComplSlashSlashV2afind_V2UsePNmary_PNSubjSbefore_SubjUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2afind_V2UsePNmary_PN +did John find Mary before Bill found Mary +did John find Mary before Bill found Mary +hittade John Mary innan Bill hittade Mary + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2afind_V2UsePNmary_PNSubjSbefore_SubjUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2afind_V2UsePNmary_PN +John found Mary before Bill found Mary +John found Mary before Bill found Mary +John hittade Mary innan Bill hittade Mary + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2afind_V2AdvNPUsePNmary_PNPrepNPbefore_PrepUsePNbill_PN +John found Mary before Bill +John found Mary before Bill +John hittade Mary före Bill + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNAdvVPComplSlashSlashV2afind_V2UsePNmary_PNSubjSbefore_SubjUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2afind_V2UsePNbill_PN +did John find Mary before John found Bill +did John find Mary before John found Bill +hittade John Mary innan John hittade Bill + + +SentenceUseClPastPPosPredVPUsePNjohn_PNAdvVPComplSlashSlashV2afind_V2UsePNmary_PNSubjSbefore_SubjUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2afind_V2UsePNbill_PN +John found Mary before John found Bill +John found Mary before John found Bill +John hittade Mary innan John hittade Bill + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplVVwant_VVComplVQknow_VQUseQClPresentPPosQuestVPIdetCNhow8many_IDetUseNman_NAdvVPUseVwork_Vpart_time_Adv +John wants to know how many men work part time +John wants to know how many men work part time +John vill veta hur många män som arbetar deltid + + +PNounphraseand_PConjDetCNDetQuantIndefArtNumPlUseNwoman_N +and women +and women +och kvinnor + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNComplVVwant_VVComplVQknow_VQUseQClPresentPPosQuestVPIdetCNhow8many_IDetUseNwoman_NAdvVPUseVwork_Vpart_time_Adv +does John want to know how many women work part time +does John want to know how many women work part time +vill John veta hur många kvinnor som arbetar deltid + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplVVwant_VVComplVQknow_VQUseQClPresentPPosQuestVPIdetCNhow8many_IDetUseNwoman_NAdvVPUseVwork_Vpart_time_Adv +John wants to know how many women work part time +John wants to know how many women work part time +John vill veta hur många kvinnor som arbetar deltid + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplVVwant_VVComplVQknow_VQConjQS2comma_and_ConjUseQClPresentPPosQuestVPIdetCNhow8many_IDetUseNman_NAdvVPUseVwork_Vpart_time_AdvUseQClPresentPPosQuestVPIdetCNIdetQuantwhich_IQuantNumPlelliptic_CNelliptic_VP +John wants to know which [..] [..] , and which [..] [..] +John wants to know how many men work part time , and which [..] [..] +John vill veta vilka [..] som [..] , och vilka [..] som [..] + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNComplVVwant_VVComplVQknow_VQUseQClPresentPPosQuestVPIdetCNIdetQuantwhich_IQuantNumPlUseNman_NAdvVPUseVwork_Vpart_time_Adv +does John want to know which men work part time +does John want to know which men work part time +vill John veta vilka män som arbetar deltid + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplVVwant_VVComplVQknow_VQUseQClPresentPPosQuestVPIdetCNIdetQuantwhich_IQuantNumPlUseNman_NAdvVPUseVwork_Vpart_time_Adv +John wants to know which men work part time +John wants to know which men work part time +John vill veta vilka män som arbetar deltid + + +SentenceUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2aspeak_to_V2RelNPaUseProneveryone_PronUseRClPastPPosStrandRelSlashthat_RPSlashVPUsePNjohn_PNSlashVVdo_VVelliptic_VPSlash +Bill spoke to everyone that John did [..] +Bill spoke to everyone that John did [..] +Bill talade med alla som John gjorde [..] [..] + + + +John spoke to Mary +John spoke to Mary +John talade med Mary + + + +did Bill speak to Mary +did Bill speak to Mary +talade Bill med Mary + + + +Bill spoke to Mary +Bill spoke to Mary +Bill talade med Mary + + + +Bill spoke to everyone that John did [..] +Bill spoke to everyone that John did [..] +Bill talade med alla som John gjorde [..] [..] + + + +Bill spoke to Mary +Bill spoke to Mary +Bill talade med Mary + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNComplSlashSlashV2aspeak_to_V2UsePNmary_PN +did John speak to Mary +did John speak to Mary +talade John med Mary + + + +John spoke to Mary +John spoke to Mary +John talade med Mary + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNComplVSasay_VSUseClPastPPosPredVPUsePNmary_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NUseClPastPPosPredVPUsePNbill_PNAdvVPComplVVdo_VVelliptic_VPtoo_Adv +John said Mary wrote a report , and Bill did [..] too +John said Mary wrote a report , and Bill did [..] too +John sade att Mary skrev en rapport , och Bill gjorde [..] också + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNComplVSasay_VSUseClPastPPosPredVPUsePNmary_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +did Bill say Mary wrote a report +did Bill say Mary wrote a report +sade Bill att Mary skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNbill_PNComplVSasay_VSUseClPastPPosPredVPUsePNmary_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Bill said Mary wrote a report +Bill said Mary wrote a report +Bill sade att Mary skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplVSasay_VSConjS2comma_and_ConjUseClPastPPosPredVPUsePNmary_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NUseClPastPPosPredVPUsePNbill_PNAdvVPComplVVdo_VVelliptic_VPtoo_Adv +John said Mary wrote a report , and Bill did [..] too +John said Mary wrote a report , and Bill did [..] too +John sade att Mary skrev en rapport , och Bill gjorde [..] också + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNComplVSasay_VSUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +did John say Bill wrote a report +did John say Bill wrote a report +sade John att Bill skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplVSasay_VSUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +John said Bill wrote a report +John said Bill wrote a report +John sade att Bill skrev en rapport + + +John said that Mary wrote a report , and that Bill did [..] too + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplVSsay_VSPredVPSUsePNmary_PNConjVPS2comma_and_ConjPastPPosComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NPastPPosComplVSsay_VSUseClPastPPosPredVPUsePNbill_PNAdvVPComplVVdo_VVelliptic_VPtoo_Adv +John said that Mary wrote a report , and said that Bill did [..] too +John said that Mary wrote a report , and said that Bill did [..] too +John sade att Mary skrev en rapport , och sade att Bill gjorde [..] också + + + +did Bill say Mary wrote a report +did Bill say Mary wrote a report +sade Bill att Mary skrev en rapport + + + +Bill said Mary wrote a report +Bill said Mary wrote a report +Bill sade att Mary skrev en rapport + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NUseClPastPPosPredVPUsePNbill_PNAdvVPComplVSasay_VSUseClPastPPosPredVPUsePNpeter_PNComplVVdo_VVelliptic_VPtoo_Adv +John wrote a report , and Bill said Peter did [..] too +John wrote a report , and Bill said Peter did [..] too +John skrev en rapport , och Bill sade att Peter gjorde [..] också + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNComplVSasay_VSUseClPastPPosPredVPUsePNpeter_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +did Bill say Peter wrote a report +did Bill say Peter wrote a report +sade Bill att Peter skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNbill_PNComplVSasay_VSUseClPastPPosPredVPUsePNpeter_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Bill said Peter wrote a report +Bill said Peter wrote a report +Bill sade att Peter skrev en rapport + + +SentenceConjS2if_comma_then_ConjUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NUseClPastPPosPredVPUsePNbill_PNAdvVPComplVVdo_VVelliptic_VPtoo_Adv +if John wrote a report , then Bill did [..] too +if John wrote a report , then Bill did [..] too +om John skrev en rapport så Bill gjorde [..] också + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +John wrote a report +John wrote a report +John skrev en rapport + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +did Bill write a report +did Bill write a report +skrev Bill en rapport + + +SentenceUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Bill wrote a report +Bill wrote a report +Bill skrev en rapport + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNComplVVwant_VVComplSlashSlashV2abuy_V2DetCNDetQuantIndefArtNumSgUseNcar_NUseClPastPPosPredVPUsePronhe_PronComplVVdo_VVelliptic_VP +John wanted to buy a car , and he did [..] +John wanted to buy a car , and he did [..] +John ville köpa en bil , och han gjorde [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNjohn_PNComplSlashSlashV2abuy_V2DetCNDetQuantIndefArtNumSgUseNcar_N +did John buy a car +did John buy a car +köpte John en bil + + +SentenceUseClPastPPosPredVPUsePNjohn_PNComplSlashSlashV2abuy_V2DetCNDetQuantIndefArtNumSgUseNcar_N +John bought a car +John bought a car +John köpte en bil + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNjohn_PNComplVVneed_VVComplSlashSlashV2abuy_V2DetCNDetQuantIndefArtNumSgUseNcar_NUseClPastPPosPredVPUsePNbill_PNComplVVdo_VVelliptic_VP +John needed to buy a car , and Bill did [..] +John needed to buy a car , and Bill did [..] +John behövde köpa en bil , och Bill gjorde [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNbill_PNComplSlashSlashV2abuy_V2DetCNDetQuantIndefArtNumSgUseNcar_N +did Bill buy a car +did Bill buy a car +köpte Bill en bil + + +SentenceUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2abuy_V2DetCNDetQuantIndefArtNumSgUseNcar_N +Bill bought a car +Bill bought a car +Bill köpte en bil + + +SentenceConjS2and_ConjUseClPresentPPosPredVPUsePNsmith_PNComplSlashSlashV2arepresent_V2DetCNDetQuantPossPronheRefl_PronNumSgUseNcompany_NUseClPresentPPosSoDoIUsePNjones_PN +Smith represents his company and so does Jones +Smith represents his company and so does Jones +Smith representerar sitt företag och det gör Jones också + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNjones_PNNumSgUseNcompany_N +does Jones represent Jones' company +does Jones represent Jones' company +representerar Jones Jones företag + + +SentenceUseClPresentPPosPredVPUsePNjones_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNjones_PNNumSgUseNcompany_N +Jones represents Jones' company +Jones represents Jones' company +Jones representerar Jones företag + + + +Smith represents his company and so does Jones +Smith represents his company and so does Jones +Smith representerar sitt företag och det gör Jones också + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNsmith_PNNumSgUseNcompany_N +does Jones represent Smith's company +does Jones represent Smith's company +representerar Jones Smiths företag + + +SentenceUseClPresentPPosPredVPUsePNjones_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNsmith_PNNumSgUseNcompany_N +Jones represents Smith's company +Jones represents Smith's company +Jones representerar Smiths företag + + + +Smith represents his company and so does Jones +Smith represents his company and so does Jones +Smith representerar sitt företag och det gör Jones också + + +QuestionUseQClPresentPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNjones_PNNumSgUseNcompany_N +does Smith represent Jones' company +does Smith represent Jones' company +representerar Smith Jones företag + + +SentenceUseClPresentPPosPredVPUsePNsmith_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNjones_PNNumSgUseNcompany_N +Smith represents Jones' company +Smith represents Jones' company +Smith representerar Jones företag + + +SentenceConjS2and_ConjUseClPastPPosPredVPUsePNsmith_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePronhe_PronComplSlashSlashV2acost_V2DetCNDetQuantPossPronheRefl_PronNumSgUseNproposal_NUseClPastPPosSoDoIUsePNjones_PN +Smith claimed he had costed his proposal and so did Jones +Smith claimed he had costed his proposal and so did Jones +Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePronhe_PronComplSlashSlashV2acost_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNproposal_N +did Jones claim he had costed his own proposal +did Jones claim he had costed his own proposal +påstod Jones att han hade kostnadsberäknat sitt egna förslag + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePronhe_PronComplSlashSlashV2acost_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNproposal_N +Jones claimed he had costed his own proposal +Jones claimed he had costed his own proposal +Jones påstod att han hade kostnadsberäknat sitt egna förslag + + + +Smith claimed he had costed his proposal and so did Jones +Smith claimed he had costed his proposal and so did Jones +Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePronhe_PronComplSlashSlashV2acost_V2DetCNDetQuantGenNPUsePNsmith_PNNumSgUseNproposal_N +did Jones claim he had costed Smith's proposal +did Jones claim he had costed Smith's proposal +påstod Jones att han hade kostnadsberäknat Smiths förslag + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePronhe_PronComplSlashSlashV2acost_V2DetCNDetQuantGenNPUsePNsmith_PNNumSgUseNproposal_N +Jones claimed he had costed Smith's proposal +Jones claimed he had costed Smith's proposal +Jones påstod att han hade kostnadsberäknat Smiths förslag + + + +Smith claimed he had costed his proposal and so did Jones +Smith claimed he had costed his proposal and so did Jones +Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePNsmith_PNComplSlashSlashV2acost_V2DetCNDetQuantGenNPUsePNsmith_PNNumSgUseNproposal_N +did Jones claim Smith had costed Smith's proposal +did Jones claim Smith had costed Smith's proposal +påstod Jones att Smith hade kostnadsberäknat Smiths förslag + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePNsmith_PNComplSlashSlashV2acost_V2DetCNDetQuantGenNPUsePNsmith_PNNumSgUseNproposal_N +Jones claimed Smith had costed Smith's proposal +Jones claimed Smith had costed Smith's proposal +Jones påstod att Smith hade kostnadsberäknat Smiths förslag + + + +Smith claimed he had costed his proposal and so did Jones +Smith claimed he had costed his proposal and so did Jones +Smith påstod att han hade kostnadsberäknat sitt förslag och det gjorde Jones också + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePNsmith_PNComplSlashSlashV2acost_V2DetCNDetQuantGenNPUsePNjones_PNNumSgUseNproposal_N +did Jones claim Smith had costed Jones' proposal +did Jones claim Smith had costed Jones' proposal +påstod Jones att Smith hade kostnadsberäknat Jones förslag + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplVSaclaim_VSUseClPastPerfectPPosPredVPUsePNsmith_PNComplSlashSlashV2acost_V2DetCNDetQuantGenNPUsePNjones_PNNumSgUseNproposal_N +Jones claimed Smith had costed Jones' proposal +Jones claimed Smith had costed Jones' proposal +Jones påstod att Smith hade kostnadsberäknat Jones förslag + + +SentenceConjS2and_ConjUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNUseNman_NUseClPresentPPosPredVPUsePNmary_PNUseCompCompCNUseNwoman_N +John is a man and Mary is a woman +John is a man and Mary is a woman +John är en man och Mary är en kvinna + + +SentenceConjS2and_ConjUseClPresentPPosPredVPUsePNjohn_PNComplSlashSlashV2arepresent_V2DetCNDetQuantPossPronheRefl_PronNumSgUseNcompany_NUseClPresentPPosSoDoIUsePNmary_PN +John represents his company and so does Mary +John represents his company and so does Mary +John representerar sitt företag och det gör Mary också + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmary_PNComplSlashSlashV2arepresent_V2DetCNDetQuantPossPronsheRefl_PronNumSgAdjCNPositAown_AUseNcompany_N +does Mary represent her own company +does Mary represent her own company +representerar Mary sitt egna företag + + +SentenceUseClPresentPPosPredVPUsePNmary_PNComplSlashSlashV2arepresent_V2DetCNDetQuantPossPronsheRefl_PronNumSgAdjCNPositAown_AUseNcompany_N +Mary represents her own company +Mary represents her own company +Mary representerar sitt egna företag + + + +John is a man and Mary is a woman +John is a man and Mary is a woman +John är en man och Mary är en kvinna + + + +John represents his company and so does Mary +John represents his company and so does Mary +John representerar sitt företag och det gör Mary också + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmary_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNjohn_PNNumSgUseNcompany_N +does Mary represent John's company +does Mary represent John's company +representerar Mary Johns företag + + +SentenceUseClPresentPPosPredVPUsePNmary_PNComplSlashSlashV2arepresent_V2DetCNDetQuantGenNPUsePNjohn_PNNumSgUseNcompany_N +Mary represents John's company +Mary represents John's company +Mary representerar Johns företag + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPUsePNbill_PNComplSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPUsePronthey_PronComplVVshall_VVAdvVPAdvVPUseVgo8walk_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNmeeting_Ntogether_AdvDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NUseClPastPPosPredVPUsePNcarl_PNAdvVPelliptic_VPPrepNPto_PrepDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_N +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru + + +QuestionExtAdvQSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNUsePNfrank_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseQClPastPPosQuestClImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNUsePNalan_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan should go together +if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan should go together + + +SentenceExtAdvSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNUsePNfrank_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNUsePNalan_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan should go together +if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan should go together + + + +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru + + +QuestionExtAdvQSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNUsePNfrank_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseQClPastPPosQuestClImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan's wife should go together +if it was suggested that Bill and Frank should go together , was it suggested that Carl and Alan's wife should go together + + +SentenceExtAdvSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNUsePNfrank_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan's wife should go together +if it was suggested that Bill and Frank should go together , it was suggested that Carl and Alan's wife should go together + + + +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru + + +QuestionExtAdvQSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseQClPastPPosQuestClImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank's boss should go together , was it suggested that Carl and Alan's wife should go together +if it was suggested that Bill and Frank's boss should go together , was it suggested that Carl and Alan's wife should go together + + +SentenceExtAdvSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank's boss should go together , it was suggested that Carl and Alan's wife should go together +if it was suggested that Bill and Frank's boss should go together , it was suggested that Carl and Alan's wife should go together + + + +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru + + +QuestionExtAdvQSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseQClPastPPosQuestClImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNUsePNalan_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank's boss should go together , was it suggested that Carl and Alan should go together +if it was suggested that Bill and Frank's boss should go together , was it suggested that Carl and Alan should go together + + +SentenceExtAdvSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNbill_PNDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP2and_ConjUsePNcarl_PNUsePNalan_PNComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill and Frank's boss should go together , it was suggested that Carl and Alan should go together +if it was suggested that Bill and Frank's boss should go together , it was suggested that Carl and Alan should go together + + + +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill suggested to Frank's boss that they should go to the meeting together , and Carl [..] to Alan's wife +Bill föreslog för Franks chef att de borde gå till mötet tillsammans , och Carl [..] till Alans fru + + +QuestionExtAdvQSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP3and_ConjUsePNbill_PNUsePNfrank_PNDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseQClPastPPosQuestClImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP3and_ConjUsePNcarl_PNUsePNalan_PNDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill , Frank and Frank's boss should go together , was it suggested that Carl , Alan and Alan's wife should go together +if it was suggested that Bill , Frank and Frank's boss should go together , was it suggested that Carl , Alan and Alan's wife should go together + + +SentenceExtAdvSSubjSif_SubjUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP3and_ConjUsePNbill_PNUsePNfrank_PNDetCNDetQuantGenNPUsePNfrank_PNNumSgUseNboss_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_AdvUseClPastPPosImpersClPassVPSlashSlashV2Ssuggest_to_V2SUseClPastPPosPredVPConjNP3and_ConjUsePNcarl_PNUsePNalan_PNDetCNDetQuantGenNPUsePNalan_PNNumSgUseNwife_NComplVVshall_VVAdvVPUseVgo8walk_Vtogether_Adv +if it was suggested that Bill , Frank and Frank's boss should go together , it was suggested that Carl , Alan and Alan's wife should go together +if it was suggested that Bill , Frank and Frank's boss should go together , it was suggested that Carl , Alan and Alan's wife should go together + + +SentenceConjS2comma_and_ConjUseClPastPPosPredVPDetCNDetQuantIndefArtNumSgUseNlawyer_NComplSlashSlashV2asign_V2DetCNevery_DetUseNreport_NUseClPastPPosSoDoIDetCNDetQuantIndefArtNumSgUseNauditor_N +a lawyer signed every report , and so did an auditor +a lawyer signed every report , and so did an auditor +en jurist undertecknade varje rapport , och det gjorde en revisor också + + +PSentencethat_is_PConjUseClPastPPosExistNPDetCNDetQuantIndefArtNumCardNumNumeralN_oneRelCNUseNlawyer_NUseRClPastPPosRelVPIdRPComplSlashSlashV2asign_V2PredetNPall_PredetDetCNDetQuantDefArtNumPlUseNreport_N +that is , there was one lawyer who signed all the reports +that is , there was one lawyer who signed all the reports +det vill säga , det fanns en jurist som undertecknade alla rapporterna + + +QuestionUseQClPastPPosQuestClExistNPDetCNDetQuantIndefArtNumCardNumNumeralN_oneRelCNUseNauditor_NUseRClPastPPosRelVPIdRPComplSlashSlashV2asign_V2PredetNPall_PredetDetCNDetQuantDefArtNumPlUseNreport_N +was there one auditor who signed all the reports +was there one auditor who signed all the reports +fanns det en revisor som undertecknade alla rapporterna + + +SentenceUseClPastPPosExistNPDetCNDetQuantIndefArtNumCardNumNumeralN_oneRelCNUseNauditor_NUseRClPastPPosRelVPIdRPComplSlashSlashV2asign_V2PredetNPall_PredetDetCNDetQuantDefArtNumPlUseNreport_N +there was one auditor who signed all the reports +there was one auditor who signed all the reports +det fanns en revisor som undertecknade alla rapporterna + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdjCNPositAgenuine_AUseNdiamond_N +John has a genuine diamond +John has a genuine diamond +John har en äkta diamant + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNdiamond_N +does John have a diamond +does John have a diamond +har John en diamant + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNdiamond_N +John has a diamond +John has a diamond +John har en diamant + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNAdjCNPositAformer_AUseNuniversity_student_N +John is a former university student +John is a former university student +John är en före detta universitetsstudent + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNUseCompCompCNUseNuniversity_student_N +is John a university student +is John a university student +är John en universitetsstudent + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNUseNuniversity_student_N +John is a university student +John is a university student +John är en universitetsstudent + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNAdjCNPositAsuccessful_AAdjCNPositAformer_AUseNuniversity_student_N +John is a successful former university student +John is a successful former university student +John är en framgångsrik före detta universitetsstudent + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNUseCompCompAPPositAsuccessful_A +is John successful +is John successful +är John framgångsrik + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompAPPositAsuccessful_A +John is successful +John is successful +John är framgångsrik + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNAdjCNPositAformer_AAdjCNPositAsuccessful_AUseNuniversity_student_N +John is a former successful university student +John is a former successful university student +John är en före detta framgångsrik universitetsstudent + + + +is John successful +is John successful +är John framgångsrik + + + +John is successful +John is successful +John är framgångsrik + + + +John is a former successful university student +John is a former successful university student +John är en före detta framgångsrik universitetsstudent + + + +is John a university student +is John a university student +är John en universitetsstudent + + + +John is a university student +John is a university student +John är en universitetsstudent + + +SentenceUseClPresentPPosPredVPDetCNevery_DetUseNmammal_NUseCompCompCNUseNanimal_N +every mammal is an animal +every mammal is an animal +varje däggdjur är ett djur + + +QuestionUseQClPresentPPosQuestClPredVPDetCNevery_DetAdjCNPositAfourlegged_AUseNmammal_NUseCompCompCNAdjCNPositAfourlegged_AUseNanimal_N +is every four-legged mammal a four-legged animal +is every four-legged mammal a four-legged animal +är varje fyrbent däggdjur ett fyrbent djur + + +SentenceUseClPresentPPosPredVPDetCNevery_DetAdjCNPositAfourlegged_AUseNmammal_NUseCompCompCNAdjCNPositAfourlegged_AUseNanimal_N +every four-legged mammal is a four-legged animal +every four-legged mammal is a four-legged animal +varje fyrbent däggdjur är ett fyrbent djur + + +SentenceUseClPresentPPosPredVPUsePNdumbo_PNUseCompCompCNAdjCNPositAfourlegged_AUseNanimal_N +Dumbo is a four-legged animal +Dumbo is a four-legged animal +Dumbo är ett fyrbent djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNdumbo_PNUseCompCompAPPositAfourlegged_A +is Dumbo four-legged +is Dumbo four-legged +är Dumbo fyrbent + + +SentenceUseClPresentPPosPredVPUsePNdumbo_PNUseCompCompAPPositAfourlegged_A +Dumbo is four-legged +Dumbo is four-legged +Dumbo är fyrbent + + +SentenceUseClPresentPPosPredVPUsePNmickey_PNUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +Mickey is a small animal +Mickey is a small animal +Mickey är ett litet djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmickey_PNUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +is Mickey a large animal +is Mickey a large animal +är Mickey ett stort djur + + +SentenceUseClPresentPPosPredVPUsePNmickey_PNUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +Mickey is a large animal +Mickey is a large animal +Mickey är ett stort djur + + +SentenceUseClPresentPPosPredVPUsePNdumbo_PNUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +Dumbo is a large animal +Dumbo is a large animal +Dumbo är ett stort djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNdumbo_PNUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +is Dumbo a small animal +is Dumbo a small animal +är Dumbo ett litet djur + + +SentenceUseClPresentPPosPredVPUsePNdumbo_PNUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +Dumbo is a small animal +Dumbo is a small animal +Dumbo är ett litet djur + + +SentenceUseClPresentUncNegPredVPUsePNfido_PNUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +Fido is not a small animal +Fido is not a small animal +Fido är inte ett litet djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNfido_PNUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +is Fido a large animal +is Fido a large animal +är Fido ett stort djur + + +SentenceUseClPresentPPosPredVPUsePNfido_PNUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +Fido is a large animal +Fido is a large animal +Fido är ett stort djur + + +SentenceUseClPresentUncNegPredVPUsePNfido_PNUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +Fido is not a large animal +Fido is not a large animal +Fido är inte ett stort djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNfido_PNUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +is Fido a small animal +is Fido a small animal +är Fido ett litet djur + + +SentenceUseClPresentPPosPredVPUsePNfido_PNUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +Fido is a small animal +Fido is a small animal +Fido är ett litet djur + + + +Mickey is a small animal +Mickey is a small animal +Mickey är ett litet djur + + + +Dumbo is a large animal +Dumbo is a large animal +Dumbo är ett stort djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmickey_PNUseCompCompAPComparAsmall_AUsePNdumbo_PN +is Mickey smaller than Dumbo +is Mickey smaller than Dumbo +är Mickey mindre än Dumbo + + +SentenceUseClPresentPPosPredVPUsePNmickey_PNUseCompCompAPComparAsmall_AUsePNdumbo_PN +Mickey is smaller than Dumbo +Mickey is smaller than Dumbo +Mickey är mindre än Dumbo + + + +Mickey is a small animal +Mickey is a small animal +Mickey är ett litet djur + + + +Dumbo is a large animal +Dumbo is a large animal +Dumbo är ett stort djur + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmickey_PNUseCompCompAPComparAlarge_AUsePNdumbo_PN +is Mickey larger than Dumbo +is Mickey larger than Dumbo +är Mickey större än Dumbo + + +SentenceUseClPresentPPosPredVPUsePNmickey_PNUseCompCompAPComparAlarge_AUsePNdumbo_PN +Mickey is larger than Dumbo +Mickey is larger than Dumbo +Mickey är större än Dumbo + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNmouse_NUseCompCompCNAdjCNPositAsmall_AUseNanimal_N +all mice are small animals +all mice are small animals +alla möss är små djur + + +SentenceUseClPresentPPosPredVPUsePNmickey_PNUseCompCompCNAdjCNPositAlarge_AUseNmouse_N +Mickey is a large mouse +Mickey is a large mouse +Mickey är en stor mus + + + +is Mickey a large animal +is Mickey a large animal +är Mickey ett stort djur + + + +Mickey is a large animal +Mickey is a large animal +Mickey är ett stort djur + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNelephant_NUseCompCompCNAdjCNPositAlarge_AUseNanimal_N +all elephants are large animals +all elephants are large animals +alla elefanter är stora djur + + +SentenceUseClPresentPPosPredVPUsePNdumbo_PNUseCompCompCNAdjCNPositAsmall_AUseNelephant_N +Dumbo is a small elephant +Dumbo is a small elephant +Dumbo är en liten elefant + + + +is Dumbo a small animal +is Dumbo a small animal +är Dumbo ett litet djur + + + +Dumbo is a small animal +Dumbo is a small animal +Dumbo är ett litet djur + + + +all mice are small animals +all mice are small animals +alla möss är små djur + + + +all elephants are large animals +all elephants are large animals +alla elefanter är stora djur + + + +Mickey is a large mouse +Mickey is a large mouse +Mickey är en stor mus + + + +Dumbo is a small elephant +Dumbo is a small elephant +Dumbo är en liten elefant + + +QuestionUseQClPresentPPosQuestClPredVPUsePNdumbo_PNUseCompCompAPComparAlarge_AUsePNmickey_PN +is Dumbo larger than Mickey +is Dumbo larger than Mickey +är Dumbo större än Mickey + + +SentenceUseClPresentPPosPredVPUsePNdumbo_PNUseCompCompAPComparAlarge_AUsePNmickey_PN +Dumbo is larger than Mickey +Dumbo is larger than Mickey +Dumbo är större än Mickey + + + +all mice are small animals +all mice are small animals +alla möss är små djur + + + +Mickey is a large mouse +Mickey is a large mouse +Mickey är en stor mus + + +QuestionUseQClPresentPPosQuestClPredVPUsePNmickey_PNUseCompCompAPPositAsmall_A +is Mickey small +is Mickey small +är Mickey liten + + +SentenceUseClPresentPPosPredVPUsePNmickey_PNUseCompCompAPPositAsmall_A +Mickey is small +Mickey is small +Mickey är liten + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAlegal_AUseNauthority_NUseCompCompCNUseNlaw_lecturer_N +all legal authorities are law lecturers +all legal authorities are law lecturers +alla juridiska fackmän är juridiklärare + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlUseNlaw_lecturer_NUseCompCompCNAdjCNPositAlegal_AUseNauthority_N +all law lecturers are legal authorities +all law lecturers are legal authorities +alla juridiklärare är juridiska fackmän + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAfat_AAdjCNPositAlegal_AUseNauthority_NUseCompCompCNAdjCNPositAfat_AUseNlaw_lecturer_N +are all fat legal authorities fat law lecturers +are all fat legal authorities fat law lecturers +är alla feta juridiska fackmän feta juridiklärare + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAfat_AAdjCNPositAlegal_AUseNauthority_NUseCompCompCNAdjCNPositAfat_AUseNlaw_lecturer_N +all fat legal authorities are fat law lecturers +all fat legal authorities are fat law lecturers +alla feta juridiska fackmän är feta juridiklärare + + + +all legal authorities are law lecturers +all legal authorities are law lecturers +alla juridiska fackmän är juridiklärare + + + +all law lecturers are legal authorities +all law lecturers are legal authorities +alla juridiklärare är juridiska fackmän + + +QuestionUseQClPresentPPosQuestClPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAcompetent_AAdjCNPositAlegal_AUseNauthority_NUseCompCompCNAdjCNPositAcompetent_AUseNlaw_lecturer_N +are all competent legal authorities competent law lecturers +are all competent legal authorities competent law lecturers +är alla kompetenta juridiska fackmän kompetenta juridiklärare + + +SentenceUseClPresentPPosPredVPPredetNPall_PredetDetCNDetQuantIndefArtNumPlAdjCNPositAcompetent_AAdjCNPositAlegal_AUseNauthority_NUseCompCompCNAdjCNPositAcompetent_AUseNlaw_lecturer_N +all competent legal authorities are competent law lecturers +all competent legal authorities are competent law lecturers +alla kompetenta juridiska fackmän är kompetenta juridiklärare + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNAdvCNAdjCNUseComparA_prefixfat_AUseNpolitician_NPrepNPthan_PrepUsePNbill_PN +John is a fatter politician than Bill +John is a fatter politician than Bill +John är en fetare politiker än Bill + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNUseCompCompAPComparAfat_AUsePNbill_PN +is John fatter than Bill +is John fatter than Bill +är John fetare än Bill + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompAPComparAfat_AUsePNbill_PN +John is fatter than Bill +John is fatter than Bill +John är fetare än Bill + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompCNAdvCNAdjCNUseComparA_prefixclever_AUseNpolitician_NPrepNPthan_PrepUsePNbill_PN +John is a cleverer politician than Bill +John is a cleverer politician than Bill +John är en smartare politiker än Bill + + +QuestionUseQClPresentPPosQuestClPredVPUsePNjohn_PNUseCompCompAPComparAclever_AUsePNbill_PN +is John cleverer than Bill +is John cleverer than Bill +är John smartare än Bill + + +SentenceUseClPresentPPosPredVPUsePNjohn_PNUseCompCompAPComparAclever_AUsePNbill_PN +John is cleverer than Bill +John is cleverer than Bill +John är smartare än Bill + + +SentenceUseClPresentPPosPredVPUsePNkim_PNUseCompCompCNAdjCNPositAclever_AUseNperson_N +Kim is a clever person +Kim is a clever person +Kim är en smart människa + + +QuestionUseQClPresentPPosQuestClPredVPUsePNkim_PNUseCompCompAPPositAclever_A +is Kim clever +is Kim clever +är Kim smart + + +SentenceUseClPresentPPosPredVPUsePNkim_PNUseCompCompAPPositAclever_A +Kim is clever +Kim is clever +Kim är smart + + +SentenceUseClPresentPPosPredVPUsePNkim_PNUseCompCompCNAdjCNPositAclever_AUseNpolitician_N +Kim is a clever politician +Kim is a clever politician +Kim är en smart politiker + + + +is Kim clever +is Kim clever +är Kim smart + + + +Kim is clever +Kim is clever +Kim är smart + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNDetQuantDefArtNumSgUseNitelxz_N +the PC-6082 is faster than the ITEL-XZ +the PC-6082 is faster than the ITEL-XZ +PC-6082:an är snabbare än ITEL-XZ:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNitelxz_NUseCompCompAPPositAfast_A +the ITEL-XZ is fast +the ITEL-XZ is fast +ITEL-XZ:an är snabb + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPPositAfast_A +is the PC-6082 fast +is the PC-6082 fast +är PC-6082:an snabb + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPPositAfast_A +the PC-6082 is fast +the PC-6082 is fast +PC-6082:an är snabb + + + +the PC-6082 is faster than the ITEL-XZ +the PC-6082 is faster than the ITEL-XZ +PC-6082:an är snabbare än ITEL-XZ:an + + + +is the PC-6082 fast +is the PC-6082 fast +är PC-6082:an snabb + + + +the PC-6082 is fast +the PC-6082 is fast +PC-6082:an är snabb + + + +the PC-6082 is faster than the ITEL-XZ +the PC-6082 is faster than the ITEL-XZ +PC-6082:an är snabbare än ITEL-XZ:an + + + +the PC-6082 is fast +the PC-6082 is fast +PC-6082:an är snabb + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNitelxz_NUseCompCompAPPositAfast_A +is the ITEL-XZ fast +is the ITEL-XZ fast +är ITEL-XZ:an snabb + + + +the ITEL-XZ is fast +the ITEL-XZ is fast +ITEL-XZ:an är snabb + + + +the PC-6082 is faster than the ITEL-XZ +the PC-6082 is faster than the ITEL-XZ +PC-6082:an är snabbare än ITEL-XZ:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPPositAslow_A +the PC-6082 is slow +the PC-6082 is slow +PC-6082:an är långsam + + + +is the ITEL-XZ fast +is the ITEL-XZ fast +är ITEL-XZ:an snabb + + + +the ITEL-XZ is fast +the ITEL-XZ is fast +ITEL-XZ:an är snabb + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAsAsfast_ADetCNDetQuantDefArtNumSgUseNitelxz_N +the PC-6082 is as fast as the ITEL-XZ +the PC-6082 is as fast as the ITEL-XZ +PC-6082:an är lika snabb som ITEL-XZ:an + + + +the ITEL-XZ is fast +the ITEL-XZ is fast +ITEL-XZ:an är snabb + + + +is the PC-6082 fast +is the PC-6082 fast +är PC-6082:an snabb + + + +the PC-6082 is fast +the PC-6082 is fast +PC-6082:an är snabb + + + +the PC-6082 is as fast as the ITEL-XZ +the PC-6082 is as fast as the ITEL-XZ +PC-6082:an är lika snabb som ITEL-XZ:an + + + +is the PC-6082 fast +is the PC-6082 fast +är PC-6082:an snabb + + + +the PC-6082 is fast +the PC-6082 is fast +PC-6082:an är snabb + + + +the PC-6082 is as fast as the ITEL-XZ +the PC-6082 is as fast as the ITEL-XZ +PC-6082:an är lika snabb som ITEL-XZ:an + + + +the PC-6082 is fast +the PC-6082 is fast +PC-6082:an är snabb + + + +is the ITEL-XZ fast +is the ITEL-XZ fast +är ITEL-XZ:an snabb + + + +the ITEL-XZ is fast +the ITEL-XZ is fast +ITEL-XZ:an är snabb + + + +the PC-6082 is as fast as the ITEL-XZ +the PC-6082 is as fast as the ITEL-XZ +PC-6082:an är lika snabb som ITEL-XZ:an + + + +the PC-6082 is slow +the PC-6082 is slow +PC-6082:an är långsam + + + +is the ITEL-XZ fast +is the ITEL-XZ fast +är ITEL-XZ:an snabb + + + +the ITEL-XZ is fast +the ITEL-XZ is fast +ITEL-XZ:an är snabb + + + +the PC-6082 is as fast as the ITEL-XZ +the PC-6082 is as fast as the ITEL-XZ +PC-6082:an är lika snabb som ITEL-XZ:an + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNDetQuantDefArtNumSgUseNitelxz_N +is the PC-6082 faster than the ITEL-XZ +is the PC-6082 faster than the ITEL-XZ +är PC-6082:an snabbare än ITEL-XZ:an + + + +the PC-6082 is faster than the ITEL-XZ +the PC-6082 is faster than the ITEL-XZ +PC-6082:an är snabbare än ITEL-XZ:an + + + +the PC-6082 is as fast as the ITEL-XZ +the PC-6082 is as fast as the ITEL-XZ +PC-6082:an är lika snabb som ITEL-XZ:an + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAslow_ADetCNDetQuantDefArtNumSgUseNitelxz_N +is the PC-6082 slower than the ITEL-XZ +is the PC-6082 slower than the ITEL-XZ +är PC-6082:an långsammare än ITEL-XZ:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAslow_ADetCNDetQuantDefArtNumSgUseNitelxz_N +the PC-6082 is slower than the ITEL-XZ +the PC-6082 is slower than the ITEL-XZ +PC-6082:an är långsammare än ITEL-XZ:an + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumPlAdvCNAdjCNUseComparA_prefixmany_AUseNorder_NSubjSthan_SubjUseClPastPPosPredVPUsePNapcom_PNComplVVdo_VVelliptic_VP +ITEL won more orders than APCOM did [..] +ITEL won more orders than APCOM did [..] +ITEL vann mer order än APCOM gjorde [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNsomePl_DetUseNorder_N +did ITEL win some orders +did ITEL win some orders +vann ITEL några order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNsomePl_DetUseNorder_N +ITEL won some orders +ITEL won some orders +ITEL vann några order + + + +ITEL won more orders than APCOM did [..] +ITEL won more orders than APCOM did [..] +ITEL vann mer order än APCOM gjorde [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNapcom_PNComplSlashSlashV2awin_V2DetCNsomePl_DetUseNorder_N +did APCOM win some orders +did APCOM win some orders +vann APCOM några order + + +SentenceUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2awin_V2DetCNsomePl_DetUseNorder_N +APCOM won some orders +APCOM won some orders +APCOM vann några order + + + +ITEL won more orders than APCOM did [..] +ITEL won more orders than APCOM did [..] +ITEL vann mer order än APCOM gjorde [..] + + +SentenceUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNorder_N +APCOM won ten orders +APCOM won ten orders +APCOM vann tio order + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2awin_V2PredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_elevenUseNorder_N +did ITEL win at least eleven orders +did ITEL win at least eleven orders +vann ITEL minst elva order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2PredetNPat_least_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_elevenUseNorder_N +ITEL won at least eleven orders +ITEL won at least eleven orders +ITEL vann minst elva order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumPlAdvCNAdjCNUseComparA_prefixmany_AUseNorder_NPrepNPthan_PrepUsePNapcom_PN +ITEL won more orders than APCOM +ITEL won more orders than APCOM +ITEL vann mer order än APCOM + + + +did ITEL win some orders +did ITEL win some orders +vann ITEL några order + + + +ITEL won some orders +ITEL won some orders +ITEL vann några order + + + +ITEL won more orders than APCOM +ITEL won more orders than APCOM +ITEL vann mer order än APCOM + + + +did APCOM win some orders +did APCOM win some orders +vann APCOM några order + + + +APCOM won some orders +APCOM won some orders +APCOM vann några order + + + +ITEL won more orders than APCOM +ITEL won more orders than APCOM +ITEL vann mer order än APCOM + + + +APCOM won ten orders +APCOM won ten orders +APCOM vann tio order + + + +did ITEL win at least eleven orders +did ITEL win at least eleven orders +vann ITEL minst elva order + + + +ITEL won at least eleven orders +ITEL won at least eleven orders +ITEL vann minst elva order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumPlAdvCNAdjCNUseComparA_prefixmany_AUseNorder_NPrepNPthan_PrepDetCNDetQuantDefArtNumSgUseNapcom_contract_N +ITEL won more orders than the APCOM contract +ITEL won more orders than the APCOM contract +ITEL vann mer order än APCOM-kontraktet + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNapcom_contract_N +did ITEL win the APCOM contract +did ITEL win the APCOM contract +vann ITEL APCOM-kontraktet + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNapcom_contract_N +ITEL won the APCOM contract +ITEL won the APCOM contract +ITEL vann APCOM-kontraktet + + + +ITEL won more orders than the APCOM contract +ITEL won more orders than the APCOM contract +ITEL vann mer order än APCOM-kontraktet + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_oneUseNorder_N +did ITEL win more than one order +did ITEL win more than one order +vann ITEL mer än en order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_oneUseNorder_N +ITEL won more than one order +ITEL won more than one order +ITEL vann mer än en order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNtwice_as_many_DetAdvCNUseNorder_NPrepNPthan_PrepUsePNapcom_PN +ITEL won twice as many orders than APCOM +ITEL won twice as many orders than APCOM +ITEL vann dubbelt så många order än APCOM + + + +APCOM won ten orders +APCOM won ten orders +APCOM vann tio order + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twentyUseNorder_N +did ITEL win twenty orders +did ITEL win twenty orders +vann ITEL tjugo order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twentyUseNorder_N +ITEL won twenty orders +ITEL won twenty orders +ITEL vann tjugo order + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumPlAdvCNAdjCNUseComparA_prefixmany_AUseNorder_NSubjSthan_SubjUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2alose_V2elliptic_NP_Pl +ITEL won more orders than APCOM lost [..] +ITEL won more orders than APCOM lost [..] +ITEL vann mer order än APCOM förlorade [..] + + + +did ITEL win some orders +did ITEL win some orders +vann ITEL några order + + + +ITEL won some orders +ITEL won some orders +ITEL vann några order + + + +ITEL won more orders than APCOM lost [..] +ITEL won more orders than APCOM lost [..] +ITEL vann mer order än APCOM förlorade [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNapcom_PNComplSlashSlashV2alose_V2DetCNsomePl_DetUseNorder_N +did APCOM lose some orders +did APCOM lose some orders +förlorade APCOM några order + + +SentenceUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2alose_V2DetCNsomePl_DetUseNorder_N +APCOM lost some orders +APCOM lost some orders +APCOM förlorade några order + + + +ITEL won more orders than APCOM lost [..] +ITEL won more orders than APCOM lost [..] +ITEL vann mer order än APCOM förlorade [..] + + +SentenceUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2alose_V2DetCNDetQuantIndefArtNumCardNumNumeralN_tenUseNorder_N +APCOM lost ten orders +APCOM lost ten orders +APCOM förlorade tio order + + + +did ITEL win at least eleven orders +did ITEL win at least eleven orders +vann ITEL minst elva order + + + +ITEL won at least eleven orders +ITEL won at least eleven orders +ITEL vann minst elva order + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNDetQuantIndefArtNumCardNumNumeralN_500UseNmips_N +the PC-6082 is faster than 500 MIPS +the PC-6082 is faster than 500 MIPS +PC-6082:an är snabbare än 500 MIPS + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNitelzx_NUseCompCompAPComparAslow_ADetCNDetQuantIndefArtNumCardNumNumeralN_500UseNmips_N +the ITEL-ZX is slower than 500 MIPS +the ITEL-ZX is slower than 500 MIPS +ITEL-ZX:an är långsammare än 500 MIPS + + +QuestionUseQClPresentPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNDetQuantDefArtNumSgUseNitelzx_N +is the PC-6082 faster than the ITEL-ZX +is the PC-6082 faster than the ITEL-ZX +är PC-6082:an snabbare än ITEL-ZX:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNDetQuantDefArtNumSgUseNitelzx_N +the PC-6082 is faster than the ITEL-ZX +the PC-6082 is faster than the ITEL-ZX +PC-6082:an är snabbare än ITEL-ZX:an + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2asell_V2DetCNDetQuantIndefArtNumCardNumNumeralN_3000AdvCNAdjCNUseComparA_prefixmany_AUseNcomputer_NPrepNPthan_PrepUsePNapcom_PN +ITEL sold 3000 more computers than APCOM +ITEL sold 3000 more computers than APCOM +ITEL sålde 3000 mer datorer än APCOM + + +SentenceUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2asell_V2PredetNPexactly_PredetDetCNDetQuantIndefArtNumCardNumNumeralN_2500UseNcomputer_N +APCOM sold exactly 2500 computers +APCOM sold exactly 2500 computers +APCOM sålde exakt 2500 datorer + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNComplSlashSlashV2asell_V2DetCNDetQuantIndefArtNumCardNumNumeralN_5500UseNcomputer_N +did ITEL sell 5500 computers +did ITEL sell 5500 computers +sålde ITEL 5500 datorer + + +SentenceUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2asell_V2DetCNDetQuantIndefArtNumCardNumNumeralN_5500UseNcomputer_N +ITEL sold 5500 computers +ITEL sold 5500 computers +ITEL sålde 5500 datorer + + +SentenceUseClPresentPPosPredVPUsePNapcom_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdvCNAdjCNUseComparA_prefiximportant_AUseNcustomer_NPrepNPthan_PrepUsePNitel_PN +APCOM has a more important customer than ITEL +APCOM has a more important customer than ITEL +APCOM har en viktigare kund än ITEL + + +QuestionUseQClPresentPPosQuestClPredVPUsePNapcom_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdvCNAdjCNUseComparA_prefiximportant_AUseNcustomer_NSubjSthan_SubjUseClPresentPPosPredVPUsePNitel_PNUseCompCompNPelliptic_NP_Sg +does APCOM have a more important customer than ITEL is [..] +does APCOM have a more important customer than ITEL is [..] +har APCOM en viktigare kund än ITEL är [..] + + +SentenceUseClPresentPPosPredVPUsePNapcom_PNComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdvCNAdjCNUseComparA_prefiximportant_AUseNcustomer_NSubjSthan_SubjUseClPresentPPosPredVPUsePNitel_PNUseCompCompNPelliptic_NP_Sg +APCOM has a more important customer than ITEL is [..] +APCOM has a more important customer than ITEL is [..] +APCOM har en viktigare kund än ITEL är [..] + + +SentenceUseClPresentPPosPredVPUsePNapcom_PNAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdjCNUseComparA_prefiximportant_AUseNcustomer_NPrepNPthan_PrepUsePNitel_PN +APCOM has a more important customer than ITEL +APCOM has a more important customer than ITEL +APCOM har en viktigare kund än ITEL + + +QuestionUseQClPresentPPosQuestClPredVPUsePNapcom_PNAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdjCNUseComparA_prefiximportant_AUseNcustomer_NSubjSthan_SubjUseClPresentPerfectPPosPredVPUsePNitel_PNelliptic_VP +does APCOM have a more important customer than ITEL has [..] +does APCOM have a more important customer than ITEL has [..] +har APCOM en viktigare kund än ITEL har [..] + + +SentenceUseClPresentPPosPredVPUsePNapcom_PNAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgAdjCNUseComparA_prefiximportant_AUseNcustomer_NSubjSthan_SubjUseClPresentPerfectPPosPredVPUsePNitel_PNelliptic_VP +APCOM has a more important customer than ITEL has [..] +APCOM has a more important customer than ITEL has [..] +APCOM har en viktigare kund än ITEL har [..] + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNevery_DetUseNitel_computer_N +the PC-6082 is faster than every ITEL computer +the PC-6082 is faster than every ITEL computer +PC-6082:an är snabbare än varje ITEL-dator + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNitelzx_NUseCompCompCNUseNitel_computer_N +the ITEL-ZX is an ITEL computer +the ITEL-ZX is an ITEL computer +ITEL-ZX:an är en ITEL-dator + + + +is the PC-6082 faster than the ITEL-ZX +is the PC-6082 faster than the ITEL-ZX +är PC-6082:an snabbare än ITEL-ZX:an + + + +the PC-6082 is faster than the ITEL-ZX +the PC-6082 is faster than the ITEL-ZX +PC-6082:an är snabbare än ITEL-ZX:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNsomeSg_DetUseNitel_computer_N +the PC-6082 is faster than some ITEL computer +the PC-6082 is faster than some ITEL computer +PC-6082:an är snabbare än någon ITEL-dator + + + +the ITEL-ZX is an ITEL computer +the ITEL-ZX is an ITEL computer +ITEL-ZX:an är en ITEL-dator + + + +is the PC-6082 faster than the ITEL-ZX +is the PC-6082 faster than the ITEL-ZX +är PC-6082:an snabbare än ITEL-ZX:an + + + +the PC-6082 is faster than the ITEL-ZX +the PC-6082 is faster than the ITEL-ZX +PC-6082:an är snabbare än ITEL-ZX:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_ADetCNanySg_DetUseNitel_computer_N +the PC-6082 is faster than any ITEL computer +the PC-6082 is faster than any ITEL computer +PC-6082:an är snabbare än någon ITEL-dator + + + +the ITEL-ZX is an ITEL computer +the ITEL-ZX is an ITEL computer +ITEL-ZX:an är en ITEL-dator + + + +is the PC-6082 faster than the ITEL-ZX +is the PC-6082 faster than the ITEL-ZX +är PC-6082:an snabbare än ITEL-ZX:an + + + +the PC-6082 is faster than the ITEL-ZX +the PC-6082 is faster than the ITEL-ZX +PC-6082:an är snabbare än ITEL-ZX:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_AConjNP2and_ConjDetCNDetQuantDefArtNumSgUseNitelzx_NDetCNDetQuantDefArtNumSgUseNitelzy_N +the PC-6082 is faster than the ITEL-ZX and the ITEL-ZY +the PC-6082 is faster than the ITEL-ZX and the ITEL-ZY +PC-6082:an är snabbare än ITEL-ZX:an och ITEL-ZY:an + + + +is the PC-6082 faster than the ITEL-ZX +is the PC-6082 faster than the ITEL-ZX +är PC-6082:an snabbare än ITEL-ZX:an + + + +the PC-6082 is faster than the ITEL-ZX +the PC-6082 is faster than the ITEL-ZX +PC-6082:an är snabbare än ITEL-ZX:an + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgUseNpc6082_NUseCompCompAPComparAfast_AConjNP2or_ConjDetCNDetQuantDefArtNumSgUseNitelzx_NDetCNDetQuantDefArtNumSgUseNitelzy_N +the PC-6082 is faster than the ITEL-ZX or the ITEL-ZY +the PC-6082 is faster than the ITEL-ZX or the ITEL-ZY +PC-6082:an är snabbare än ITEL-ZX:an eller ITEL-ZY:an + + + +is the PC-6082 faster than the ITEL-ZX +is the PC-6082 faster than the ITEL-ZX +är PC-6082:an snabbare än ITEL-ZX:an + + + +the PC-6082 is faster than the ITEL-ZX +the PC-6082 is faster than the ITEL-ZX +PC-6082:an är snabbare än ITEL-ZX:an + + +SentenceUseClPresentPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNfactory_NPrepNPin_PrepUsePNbirmingham_PN +ITEL has a factory in Birmingham +ITEL has a factory in Birmingham +ITEL har en fabrik i Birmingham + + +QuestionUseQClPresentPPosQuestClPredVPUsePNitel_PNAdVVPcurrently_AdVAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNfactory_NPrepNPin_PrepUsePNbirmingham_PN +does ITEL currently have a factory in Birmingham +does ITEL currently have a factory in Birmingham +har ITEL för närvarande en fabrik i Birmingham + + +SentenceUseClPresentPPosPredVPUsePNitel_PNAdVVPcurrently_AdVAdvVPComplSlashSlashV2ahave_V2DetCNDetQuantIndefArtNumSgUseNfactory_NPrepNPin_PrepUsePNbirmingham_PN +ITEL currently has a factory in Birmingham +ITEL currently has a factory in Birmingham +ITEL har för närvarande en fabrik i Birmingham + + +SentenceAdvSsince_1992_AdvUseClPresentPerfectPPosPredVPUsePNitel_PNUseCompCompAdvPrepNPin_PrepUsePNbirmingham_PN +since 1992 ITEL has been in Birmingham +since 1992 ITEL has been in Birmingham +sedan 1992 har ITEL varit i Birmingham + + +SentenceUseClPresentPPosImpersClAdVVPnow_AdVUseCompCompAdvyear_1996_Adv +it is now 1996 +it is now 1996 +det är nu 1996 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPUseCompCompAdvPrepNPin_PrepUsePNbirmingham_PNin_1993_Adv +was ITEL in Birmingham in 1993 +was ITEL in Birmingham in 1993 +var ITEL i Birmingham 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPUseCompCompAdvPrepNPin_PrepUsePNbirmingham_PNin_1993_Adv +ITEL was in Birmingham in 1993 +ITEL was in Birmingham in 1993 +ITEL var i Birmingham 1993 + + +SentenceUseClPresentPerfectPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2adevelop_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNeditor_Nsince_1992_Adv +ITEL has developed a new editor since 1992 +ITEL has developed a new editor since 1992 +ITEL har utvecklat en ny redigerare sedan 1992 + + + +it is now 1996 +it is now 1996 +det är nu 1996 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2adevelop_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNeditor_Nin_1993_Adv +did ITEL develop a new editor in 1993 +did ITEL develop a new editor in 1993 +utvecklade ITEL en ny redigerare 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2adevelop_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNeditor_Nin_1993_Adv +ITEL developed a new editor in 1993 +ITEL developed a new editor in 1993 +ITEL utvecklade en ny redigerare 1993 + + +SentenceUseClPresentPerfectPPosPredVPUsePNitel_PNAdvVPUseVexpand_Vsince_1992_Adv +ITEL has expanded since 1992 +ITEL has expanded since 1992 +ITEL har expanderat sedan 1992 + + + +it is now 1996 +it is now 1996 +det är nu 1996 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPUseVexpand_Vin_1993_Adv +did ITEL expand in 1993 +did ITEL expand in 1993 +expanderade ITEL 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPUseVexpand_Vin_1993_Adv +ITEL expanded in 1993 +ITEL expanded in 1993 +ITEL expanderade 1993 + + +SentenceAdvSsince_1992_AdvUseClPresentPerfectPPosPredVPUsePNitel_PNComplSlashSlashV2amake8do_V2DetCNDetQuantIndefArtNumSgUseNloss_N +since 1992 ITEL has made a loss +since 1992 ITEL has made a loss +sedan 1992 har ITEL gjort en förlust + + + +it is now 1996 +it is now 1996 +det är nu 1996 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2amake8do_V2DetCNDetQuantIndefArtNumSgUseNloss_Nin_1993_Adv +did ITEL make a loss in 1993 +did ITEL make a loss in 1993 +gjorde ITEL en förlust 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2amake8do_V2DetCNDetQuantIndefArtNumSgUseNloss_Nin_1993_Adv +ITEL made a loss in 1993 +ITEL made a loss in 1993 +ITEL gjorde en förlust 1993 + + +SentenceUseClPresentPerfectPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2amake8do_V2DetCNDetQuantIndefArtNumSgUseNloss_Nsince_1992_Adv +ITEL has made a loss since 1992 +ITEL has made a loss since 1992 +ITEL har gjort en förlust sedan 1992 + + + +it is now 1996 +it is now 1996 +det är nu 1996 + + + +did ITEL make a loss in 1993 +did ITEL make a loss in 1993 +gjorde ITEL en förlust 1993 + + + +ITEL made a loss in 1993 +ITEL made a loss in 1993 +ITEL gjorde en förlust 1993 + + + +ITEL has made a loss since 1992 +ITEL has made a loss since 1992 +ITEL har gjort en förlust sedan 1992 + + + +it is now 1996 +it is now 1996 +det är nu 1996 + + + +did ITEL make a loss in 1993 +did ITEL make a loss in 1993 +gjorde ITEL en förlust 1993 + + + +ITEL made a loss in 1993 +ITEL made a loss in 1993 +ITEL gjorde en förlust 1993 + + +SentenceAdvSin_march_1993_AdvUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2afound_V2UsePNitel_PN +in March 1993 APCOM founded ITEL +in March 1993 APCOM founded ITEL +i mars 1993 grundade APCOM ITEL + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPUseVexist_Vin_1992_Adv +did ITEL exist in 1992 +did ITEL exist in 1992 +fanns ITEL 1992 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPUseVexist_Vin_1992_Adv +ITEL existed in 1992 +ITEL existed in 1992 +ITEL fanns 1992 + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumSgUseNconference_NAdvVPUseVstart_Von_july_4th_1994_Adv +the conference started on July 4th , 1994 +the conference started on July 4th , 1994 +konferensen började 4:e juli 1994 + + +SentenceUseClPastPPosImpersClComplSlashSlashV2alast_V2DetCNDetQuantIndefArtNumCardNumNumeralN_2UseNday_N +it lasted 2 days +it lasted 2 days +det varade 2 dagar + + +QuestionUseQClPastPPosQuestClPredVPDetCNDetQuantDefArtNumSgUseNconference_NAdvVPUseCompCompAdvover_Advon_july_8th_1994_Adv +was the conference over on July 8th , 1994 +was the conference over on July 8th , 1994 +var konferensen slut 8:e juli 1994 + + +SentenceUseClPastPPosPredVPDetCNDetQuantDefArtNumSgUseNconference_NAdvVPUseCompCompAdvover_Advon_july_8th_1994_Adv +the conference was over on July 8th , 1994 +the conference was over on July 8th , 1994 +konferensen var slut 8:e juli 1994 + + +SentenceAdvSyesterday_AdvUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_N +yesterday APCOM signed the contract +yesterday APCOM signed the contract +igår undertecknade APCOM kontraktet + + +SentenceUseClPresentPPosPredVPMassNPUseNtoday_NUseCompCompAdvsaturday_july_14th_Adv +today is Saturday , July 14th +today is Saturday , July 14th +idag är lördagen den 14 juli + + +QuestionUseQClPastPPosQuestClPredVPUsePNapcom_PNAdvVPComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_Nfriday_13th_Adv +did APCOM sign the contract Friday , 13th +did APCOM sign the contract Friday , 13th +undertecknade APCOM kontraktet fredagen den 13:e + + +SentenceUseClPastPPosPredVPUsePNapcom_PNAdvVPComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_Nfriday_13th_Adv +APCOM signed the contract Friday , 13th +APCOM signed the contract Friday , 13th +APCOM undertecknade kontraktet fredagen den 13:e + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNUseVleave_V +Smith left before Jones left +Smith left before Jones left +Smith gick innan Jones gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVleave_VSubjSbefore_SubjUseClPastPPosPredVPUsePNanderson_PNUseVleave_V +Jones left before Anderson left +Jones left before Anderson left +Jones gick innan Anderson gick + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSbefore_SubjUseClPastPPosPredVPUsePNanderson_PNUseVleave_V +did Smith leave before Anderson left +did Smith leave before Anderson left +gick Smith innan Anderson gick + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSbefore_SubjUseClPastPPosPredVPUsePNanderson_PNUseVleave_V +Smith left before Anderson left +Smith left before Anderson left +Smith gick innan Anderson gick + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNUseVleave_V +Smith left after Jones left +Smith left after Jones left +Smith gick efter det att Jones gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNanderson_PNUseVleave_V +Jones left after Anderson left +Jones left after Anderson left +Jones gick efter det att Anderson gick + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNanderson_PNUseVleave_V +did Smith leave after Anderson left +did Smith leave after Anderson left +gick Smith efter det att Anderson gick + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNanderson_PNUseVleave_V +Smith left after Anderson left +Smith left after Anderson left +Smith gick efter det att Anderson gick + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNUseVleave_V +Smith was present after Jones left +Smith was present after Jones left +Smith var närvarande efter det att Jones gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNanderson_PNUseCompCompAPPositApresent8attending_A +Jones left after Anderson was present +Jones left after Anderson was present +Jones gick efter det att Anderson var närvarande + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSafter_SubjUseClPastPPosPredVPUsePNanderson_PNUseCompCompAPPositApresent8attending_A +was Smith present after Anderson was present +was Smith present after Anderson was present +var Smith närvarande efter det att Anderson var närvarande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSafter_SubjUseClPastPPosPredVPUsePNanderson_PNUseCompCompAPPositApresent8attending_A +Smith was present after Anderson was present +Smith was present after Anderson was present +Smith var närvarande efter det att Anderson var närvarande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNUseVleave_V +Smith left +Smith left +Smith gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNUseVleave_V +Jones left +Jones left +Jones gick + + + +Smith left before Jones left +Smith left before Jones left +Smith gick innan Jones gick + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNUseVleave_V +did Jones leave after Smith left +did Jones leave after Smith left +gick Jones efter det att Smith gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNUseVleave_V +Jones left after Smith left +Jones left after Smith left +Jones gick efter det att Smith gick + + + +Smith left +Smith left +Smith gick + + + +Jones left +Jones left +Jones gick + + + +Smith left after Jones left +Smith left after Jones left +Smith gick efter det att Jones gick + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPUseVleave_VSubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNUseVleave_V +did Jones leave before Smith left +did Jones leave before Smith left +gick Jones innan Smith gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVleave_VSubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNUseVleave_V +Jones left before Smith left +Jones left before Smith left +Jones gick innan Smith gick + + + +Smith left +Smith left +Smith gick + + + +Jones left +Jones left +Jones gick + + + +Jones left before Smith left +Jones left before Smith left +Jones gick innan Smith gick + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPUseVleave_VSubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNUseVleave_V +did Smith leave after Jones left +did Smith leave after Jones left +gick Smith efter det att Jones gick + + + +Smith left after Jones left +Smith left after Jones left +Smith gick efter det att Jones gick + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_N +Jones revised the contract +Jones revised the contract +Jones granskade kontraktet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_N +Smith revised the contract +Smith revised the contract +Smith granskade kontraktet + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_NSubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNComplVVdo_VVelliptic_VP +Jones revised the contract before Smith did [..] +Jones revised the contract before Smith did [..] +Jones granskade kontraktet innan Smith gjorde [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_NSubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNComplVVdo_VVelliptic_VP +did Smith revise the contract after Jones did [..] +did Smith revise the contract after Jones did [..] +granskade Smith kontraktet efter det att Jones gjorde [..] + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_NSubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNComplVVdo_VVelliptic_VP +Smith revised the contract after Jones did [..] +Smith revised the contract after Jones did [..] +Smith granskade kontraktet efter det att Jones gjorde [..] + + + +Jones revised the contract +Jones revised the contract +Jones granskade kontraktet + + + +Smith revised the contract +Smith revised the contract +Smith granskade kontraktet + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_NSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNComplVVdo_VVelliptic_VP +Jones revised the contract after Smith did [..] +Jones revised the contract after Smith did [..] +Jones granskade kontraktet efter det att Smith gjorde [..] + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_NSubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNComplVVdo_VVelliptic_VP +did Smith revise the contract before Jones did [..] +did Smith revise the contract before Jones did [..] +granskade Smith kontraktet innan Jones gjorde [..] + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arevise_V2DetCNDetQuantDefArtNumSgUseNcontract_NSubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNComplVVdo_VVelliptic_VP +Smith revised the contract before Jones did [..] +Smith revised the contract before Jones did [..] +Smith granskade kontraktet innan Jones gjorde [..] + + +SentenceUseClPastPPosPredVPUsePNsmith_PNUseVswim_V +Smith swam +Smith swam +Smith simmade + + +SentenceUseClPastPPosPredVPUsePNjones_PNUseVswim_V +Jones swam +Jones swam +Jones simmade + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVswim_VSubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNUseVswim_V +Smith swam before Jones swam +Smith swam before Jones swam +Smith simmade innan Jones simmade + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPUseVswim_VSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNUseVswim_V +did Jones swim after Smith swam +did Jones swim after Smith swam +simmade Jones efter det att Smith simmade + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVswim_VSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNUseVswim_V +Jones swam after Smith swam +Jones swam after Smith swam +Jones simmade efter det att Smith simmade + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_N +Smith swam to the shore +Smith swam to the shore +Smith simmade till stranden + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_N +Jones swam to the shore +Jones swam to the shore +Jones simmade till stranden + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_NSubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_N +Smith swam to the shore before Jones swam to the shore +Smith swam to the shore before Jones swam to the shore +Smith simmade till stranden innan Jones simmade till stranden + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_NSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_N +did Jones swim to the shore after Smith swam to the shore +did Jones swim to the shore after Smith swam to the shore +simmade Jones till stranden efter det att Smith simmade till stranden + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_NSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVswim_VPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNshore_N +Jones swam to the shore after Smith swam to the shore +Jones swam to the shore after Smith swam to the shore +Jones simmade till stranden efter det att Smith simmade till stranden + + +SentenceUseClPastPPosPredVPUsePNsmith_PNUseCompCompAPPositApresent8attending_A +Smith was present +Smith was present +Smith var närvarande + + +SentenceUseClPastPPosPredVPUsePNjones_PNUseCompCompAPPositApresent8attending_A +Jones was present +Jones was present +Jones var närvarande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNUseCompCompAPPositApresent8attending_A +Smith was present after Jones was present +Smith was present after Jones was present +Smith var närvarande efter det att Jones var närvarande + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNUseCompCompAPPositApresent8attending_A +was Jones present before Smith was present +was Jones present before Smith was present +var Jones närvarande innan Smith var närvarande + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNUseCompCompAPPositApresent8attending_A +Jones was present before Smith was present +Jones was present before Smith was present +Jones var närvarande innan Smith var närvarande + + + +Smith was present +Smith was present +Smith var närvarande + + + +Jones was present +Jones was present +Jones var närvarande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNUseCompCompAPPositApresent8attending_A +Smith was present before Jones was present +Smith was present before Jones was present +Smith var närvarande innan Jones var närvarande + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNUseCompCompAPPositApresent8attending_A +was Jones present after Smith was present +was Jones present after Smith was present +var Jones närvarande efter det att Smith var närvarande + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPUseCompCompAPPositApresent8attending_ASubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNUseCompCompAPPositApresent8attending_A +Jones was present after Smith was present +Jones was present after Smith was present +Jones var närvarande efter det att Smith var närvarande + + +SentenceUseClPastPPosPredVPUsePNsmith_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Smith was writing a report +Smith was writing a report +Smith skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNjones_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Jones was writing a report +Jones was writing a report +Jones skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NSubjSbefore_SubjUseClPastPPosPredVPUsePNjones_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Smith was writing a report before Jones was writing a report +Smith was writing a report before Jones was writing a report +Smith skrev en rapport innan Jones skrev en rapport + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +was Jones writing a report after Smith was writing a report +was Jones writing a report after Smith was writing a report +skrev Jones en rapport efter det att Smith skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NSubjSafter_SubjUseClPastPPosPredVPUsePNsmith_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Jones was writing a report after Smith was writing a report +Jones was writing a report after Smith was writing a report +Jones skrev en rapport efter det att Smith skrev en rapport + + + +Smith was writing a report +Smith was writing a report +Smith skrev en rapport + + + +Jones was writing a report +Jones was writing a report +Jones skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NSubjSafter_SubjUseClPastPPosPredVPUsePNjones_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Smith was writing a report after Jones was writing a report +Smith was writing a report after Jones was writing a report +Smith skrev en rapport efter det att Jones skrev en rapport + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NSubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +was Jones writing a report before Smith was writing a report +was Jones writing a report before Smith was writing a report +skrev Jones en rapport innan Smith skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_NSubjSbefore_SubjUseClPastPPosPredVPUsePNsmith_PNProgrVPaComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Jones was writing a report before Smith was writing a report +Jones was writing a report before Smith was writing a report +Jones skrev en rapport innan Smith skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNmeeting_NSubjSbefore_SubjUseClPastPPosPredVPUsePronhe_PronComplSlashSlashV2alose_V2DetCNDetQuantPossPronheRefl_PronNumSgUseNtemper_N +Smith left the meeting before he lost his temper +Smith left the meeting before he lost his temper +Smith lämnade mötet innan han förlorade sitt humör + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2alose_V2DetCNDetQuantPossPronheRefl_PronNumSgUseNtemper_N +did Smith lose his temper +did Smith lose his temper +förlorade Smith sitt humör + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2alose_V2DetCNDetQuantPossPronheRefl_PronNumSgUseNtemper_N +Smith lost his temper +Smith lost his temper +Smith förlorade sitt humör + + +SentenceExtAdvSSubjSwhen_SubjUseClPastPPosPredVPUsePronthey_PronComplSlashSlashV2aopen_V2UsePNthe_m25_PNUseClPastPPosPredVPMassNPUseNtraffic_NUseVincrease_V +when they opened the M25 , traffic increased +when they opened the M25 , traffic increased +när de öppnade M25:an , ökade trafik + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNin_1991_Adv +Smith lived in Birmingham in 1991 +Smith lived in Birmingham in 1991 +Smith bodde i Birmingham 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNin_1992_Adv +did Smith live in Birmingham in 1992 +did Smith live in Birmingham in 1992 +bodde Smith i Birmingham 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNin_1992_Adv +Smith lived in Birmingham in 1992 +Smith lived in Birmingham in 1992 +Smith bodde i Birmingham 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantOrdPossPronheRefl_PronNumSgOrdNumeralN_oneUseNnovel_Nin_1991_Adv +Smith wrote his first novel in 1991 +Smith wrote his first novel in 1991 +Smith skrev sin första roman 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantOrdPossPronheRefl_PronNumSgOrdNumeralN_oneUseNnovel_Nin_1992_Adv +did Smith write his first novel in 1992 +did Smith write his first novel in 1992 +skrev Smith sin första roman 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantOrdPossPronheRefl_PronNumSgOrdNumeralN_oneUseNnovel_Nin_1992_Adv +Smith wrote his first novel in 1992 +Smith wrote his first novel in 1992 +Smith skrev sin första roman 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNnovel_Nin_1991_Adv +Smith wrote a novel in 1991 +Smith wrote a novel in 1991 +Smith skrev en roman 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2UsePronit_Pronin_1992_Adv +did Smith write it in 1992 +did Smith write it in 1992 +skrev Smith det 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2UsePronit_Pronin_1992_Adv +Smith wrote it in 1992 +Smith wrote it in 1992 +Smith skrev det 1992 + + + +Smith wrote a novel in 1991 +Smith wrote a novel in 1991 +Smith skrev en roman 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNnovel_Nin_1992_Adv +did Smith write a novel in 1992 +did Smith write a novel in 1992 +skrev Smith en roman 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNnovel_Nin_1992_Adv +Smith wrote a novel in 1992 +Smith wrote a novel in 1992 +Smith skrev en roman 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPProgrVPaComplSlashSlashV2arun_V2DetCNDetQuantIndefArtNumSgUseNbusiness_Nin_1991_Adv +Smith was running a business in 1991 +Smith was running a business in 1991 +Smith drev en affärsverksamhet 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPProgrVPaComplSlashSlashV2arun_V2UsePronit_Pronin_1992_Adv +was Smith running it in 1992 +was Smith running it in 1992 +drev Smith det 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPProgrVPaComplSlashSlashV2arun_V2UsePronit_Pronin_1992_Adv +Smith was running it in 1992 +Smith was running it in 1992 +Smith drev det 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_Nin_1991_Adv +Smith discovered a new species in 1991 +Smith discovered a new species in 1991 +Smith upptäckte en ny art 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2UsePronit_Pronin_1992_Adv +did Smith discover it in 1992 +did Smith discover it in 1992 +upptäckte Smith det 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2UsePronit_Pronin_1992_Adv +Smith discovered it in 1992 +Smith discovered it in 1992 +Smith upptäckte det 1992 + + + +Smith discovered a new species in 1991 +Smith discovered a new species in 1991 +Smith upptäckte en ny art 1991 + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_Nin_1992_Adv +did Smith discover a new species in 1992 +did Smith discover a new species in 1992 +upptäckte Smith en ny art 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_Nin_1992_Adv +Smith discovered a new species in 1992 +Smith discovered a new species in 1992 +Smith upptäckte en ny art 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_Nin_two_hours_Adv +Smith wrote a report in two hours +Smith wrote a report in two hours +Smith skrev en rapport på två timmar + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplVVstart_VVComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_Nat_8_am_Adv +Smith started writing the report at 8 am +Smith started writing the report at 8 am +Smith började skriva rapporten klockan 8 + + +QuestionUseQClPastPerfectPPosQuestClPredVPUsePNsmith_PNAdvVPComplVVfinish_VVComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_Nby_11_am_Adv +had Smith finished writing the report by 11 am +had Smith finished writing the report by 11 am +hade Smith slutat att skriva rapporten klockan 11 + + +SentenceUseClPastPerfectPPosPredVPUsePNsmith_PNAdvVPComplVVfinish_VVComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_Nby_11_am_Adv +Smith had finished writing the report by 11 am +Smith had finished writing the report by 11 am +Smith hade slutat att skriva rapporten klockan 11 + + + +Smith wrote a report in two hours +Smith wrote a report in two hours +Smith skrev en rapport på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoAdjCNPartVPComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_NUseNhour_N +did Smith spend two hours writing the report +did Smith spend two hours writing the report + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoAdjCNPartVPComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_NUseNhour_N +Smith spent two hours writing the report +Smith spent two hours writing the report + + + +Smith wrote a report in two hours +Smith wrote a report in two hours +Smith skrev en rapport på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_twoAdjCNPartVPComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_NUseNhour_N +did Smith spend more than two hours writing the report +did Smith spend more than two hours writing the report + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_twoAdjCNPartVPComplSlashSlashV2awrite_V2DetCNDetQuantDefArtNumSgUseNreport_NUseNhour_N +Smith spent more than two hours writing the report +Smith spent more than two hours writing the report + + + +Smith wrote a report in two hours +Smith wrote a report in two hours +Smith skrev en rapport på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_Nin_one_hour_Adv +did Smith write a report in one hour +did Smith write a report in one hour +skrev Smith en rapport på en timme + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_Nin_one_hour_Adv +Smith wrote a report in one hour +Smith wrote a report in one hour +Smith skrev en rapport på en timme + + + +Smith wrote a report in two hours +Smith wrote a report in two hours +Smith skrev en rapport på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +did Smith write a report +did Smith write a report +skrev Smith en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_N +Smith wrote a report +Smith wrote a report +Smith skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_Nin_two_hours_Adv +Smith discovered a new species in two hours +Smith discovered a new species in two hours +Smith upptäckte en ny art på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoSentCNUseNhour_NEmbedPresPartComplSlashSlashV2adiscover_V2DetCNDetQuantDefArtNumSgAdjCNPositAnew_AUseNspecies_N +did Smith spend two hours discovering the new species +did Smith spend two hours discovering the new species + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoSentCNUseNhour_NEmbedPresPartComplSlashSlashV2adiscover_V2DetCNDetQuantDefArtNumSgAdjCNPositAnew_AUseNspecies_N +Smith spent two hours discovering the new species +Smith spent two hours discovering the new species + + + +Smith discovered a new species in two hours +Smith discovered a new species in two hours +Smith upptäckte en ny art på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_N +did Smith discover a new species +did Smith discover a new species +upptäckte Smith en ny art + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_N +Smith discovered a new species +Smith discovered a new species +Smith upptäckte en ny art + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNmany_DetAdjCNPositAnew_AUseNspecies_Nin_two_hours_Adv +Smith discovered many new species in two hours +Smith discovered many new species in two hours +Smith upptäckte många nya arter på två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoSentCNUseNhour_NEmbedPresPartComplSlashSlashV2adiscover_V2MassNPAdjCNPositAnew_AUseNspecies_N +did Smith spend two hours discovering new species +did Smith spend two hours discovering new species + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoSentCNUseNhour_NEmbedPresPartComplSlashSlashV2adiscover_V2MassNPAdjCNPositAnew_AUseNspecies_N +Smith spent two hours discovering new species +Smith spent two hours discovering new species + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPProgrVPaComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_NPrepNPin_PrepDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNyear_N +Smith was running his own business in two years +Smith was running his own business in two years +Smith drev sin egna affärsverksamhet i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoSentCNUseNyear_NEmbedPresPartComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_N +did Smith spend two years running his own business +did Smith spend two years running his own business + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardNumNumeralN_twoSentCNUseNyear_NEmbedPresPartComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_N +Smith spent two years running his own business +Smith spent two years running his own business + + + +Smith was running his own business in two years +Smith was running his own business in two years +Smith drev sin egna affärsverksamhet i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_twoSentCNUseNyear_NEmbedPresPartComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_N +did Smith spend more than two years running his own business +did Smith spend more than two years running his own business + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aspend_V2DetCNDetQuantIndefArtNumCardAdNummore_than_AdNNumNumeralN_twoSentCNUseNyear_NEmbedPresPartComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_N +Smith spent more than two years running his own business +Smith spent more than two years running his own business + + + +Smith was running his own business in two years +Smith was running his own business in two years +Smith drev sin egna affärsverksamhet i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_N +did Smith run his own business +did Smith run his own business +drev Smith sin egna affärsverksamhet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_N +Smith ran his own business +Smith ran his own business +Smith drev sin egna affärsverksamhet + + +SentenceAdvSPrepNPin_PrepDetCNDetQuantIndefArtNumCardNumNumeralN_twoUseNyear_NUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepDetCNDetQuantIndefArtNumPlUseNbusiness_N +in two years Smith owned a chain of businesses +in two years Smith owned a chain of businesses +i två år ägde Smith en kedja av affärsverksamheter + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepMassNPUseNbusiness_Nfor_two_years_Adv +did Smith own a chain of business for two years +did Smith own a chain of business for two years +ägde Smith en kedja av affärsverksamhet i två år + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepMassNPUseNbusiness_Nfor_two_years_Adv +Smith owned a chain of business for two years +Smith owned a chain of business for two years +Smith ägde en kedja av affärsverksamhet i två år + + + +in two years Smith owned a chain of businesses +in two years Smith owned a chain of businesses +i två år ägde Smith en kedja av affärsverksamheter + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepMassNPUseNbusiness_Nfor_more_than_two_years_Adv +did Smith own a chain of business for more than two years +did Smith own a chain of business for more than two years +ägde Smith en kedja av affärsverksamhet i mer än två år + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepMassNPUseNbusiness_Nfor_more_than_two_years_Adv +Smith owned a chain of business for more than two years +Smith owned a chain of business for more than two years +Smith ägde en kedja av affärsverksamhet i mer än två år + + + +in two years Smith owned a chain of businesses +in two years Smith owned a chain of businesses +i två år ägde Smith en kedja av affärsverksamheter + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepMassNPUseNbusiness_N +did Smith own a chain of business +did Smith own a chain of business +ägde Smith en kedja av affärsverksamhet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aown_V2DetCNDetQuantIndefArtNumSgAdvCNUseNchain_NPrepNPpart_PrepMassNPUseNbusiness_N +Smith owned a chain of business +Smith owned a chain of business +Smith ägde en kedja av affärsverksamhet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNfor_two_years_Adv +Smith lived in Birmingham for two years +Smith lived in Birmingham for two years +Smith bodde i Birmingham i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNfor_a_year_Adv +did Smith live in Birmingham for a year +did Smith live in Birmingham for a year +bodde Smith i Birmingham i ett år + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNfor_a_year_Adv +Smith lived in Birmingham for a year +Smith lived in Birmingham for a year +Smith bodde i Birmingham i ett år + + + +Smith lived in Birmingham for two years +Smith lived in Birmingham for two years +Smith bodde i Birmingham i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNfor_exactly_a_year_Adv +did Smith live in Birmingham for exactly a year +did Smith live in Birmingham for exactly a year +bodde Smith i Birmingham i exakt ett år + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PNfor_exactly_a_year_Adv +Smith lived in Birmingham for exactly a year +Smith lived in Birmingham for exactly a year +Smith bodde i Birmingham i exakt ett år + + + +Smith lived in Birmingham for two years +Smith lived in Birmingham for two years +Smith bodde i Birmingham i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PN +did Smith live in Birmingham +did Smith live in Birmingham +bodde Smith i Birmingham + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseVlive_VPrepNPin_PrepUsePNbirmingham_PN +Smith lived in Birmingham +Smith lived in Birmingham +Smith bodde i Birmingham + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_Nfor_two_years_Adv +Smith ran his own business for two years +Smith ran his own business for two years +Smith drev sin egna affärsverksamhet i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_Nfor_a_year_Adv +did Smith run his own business for a year +did Smith run his own business for a year +drev Smith sin egna affärsverksamhet i ett år + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2arun_V2DetCNDetQuantPossPronheRefl_PronNumSgAdjCNPositAown_AUseNbusiness_Nfor_a_year_Adv +Smith ran his own business for a year +Smith ran his own business for a year +Smith drev sin egna affärsverksamhet i ett år + + + +Smith ran his own business for two years +Smith ran his own business for two years +Smith drev sin egna affärsverksamhet i två år + + + +did Smith run his own business +did Smith run his own business +drev Smith sin egna affärsverksamhet + + + +Smith ran his own business +Smith ran his own business +Smith drev sin egna affärsverksamhet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_Nfor_two_hours_Adv +Smith wrote a report for two hours +Smith wrote a report for two hours +Smith skrev en rapport i två timmar + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_Nfor_an_hour_Adv +did Smith write a report for an hour +did Smith write a report for an hour +skrev Smith en rapport i en timme + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_V2DetCNDetQuantIndefArtNumSgUseNreport_Nfor_an_hour_Adv +Smith wrote a report for an hour +Smith wrote a report for an hour +Smith skrev en rapport i en timme + + + +Smith wrote a report for two hours +Smith wrote a report for two hours +Smith skrev en rapport i två timmar + + + +did Smith write a report +did Smith write a report +skrev Smith en rapport + + + +Smith wrote a report +Smith wrote a report +Smith skrev en rapport + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumSgAdjCNPositAnew_AUseNspecies_Nfor_an_hour_Adv +Smith discovered a new species for an hour +Smith discovered a new species for an hour +Smith upptäckte en ny art i en timme + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumPlAdjCNPositAnew_AUseNspecies_Nfor_two_years_Adv +Smith discovered new species for two years +Smith discovered new species for two years +Smith upptäckte nya arter i två år + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumPlAdjCNPositAnew_AUseNspecies_N +did Smith discover new species +did Smith discover new species +upptäckte Smith nya arter + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2adiscover_V2DetCNDetQuantIndefArtNumPlAdjCNPositAnew_AUseNspecies_N +Smith discovered new species +Smith discovered new species +Smith upptäckte nya arter + + +SentenceAdvSin_1994_AdvUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2asend_V2DetCNDetQuantIndefArtNumSgUseNprogress_report_Nevery_month_Adv +in 1994 ITEL sent a progress report every month +in 1994 ITEL sent a progress report every month +1994 skickade ITEL en statusrapport varje månad + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2asend_V2DetCNDetQuantIndefArtNumSgUseNprogress_report_Nin_july_1994_Adv +did ITEL send a progress report in July 1994 +did ITEL send a progress report in July 1994 +skickade ITEL en statusrapport i juli 1994 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2asend_V2DetCNDetQuantIndefArtNumSgUseNprogress_report_Nin_july_1994_Adv +ITEL sent a progress report in July 1994 +ITEL sent a progress report in July 1994 +ITEL skickade en statusrapport i juli 1994 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2awrite_to_V2DetCNDetQuantIndefArtNumSgUseNrepresentative_Nevery_week_Adv +Smith wrote to a representative every week +Smith wrote to a representative every week +Smith skrev till en representant varje vecka + + +QuestionUseQClPresentPPosQuestClExistNPDetCNDetQuantIndefArtNumSgAdvCNRelCNUseNrepresentative_NUseRClPastPPosStrandRelSlashthat_RPSlashVPUsePNsmith_PNSlashV2awrite_to_V2every_week_Adv +is there a representative that Smith wrote to every week +is there a representative that Smith wrote to every week +finns det en representant som Smith skrev till varje vecka + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumSgAdvCNRelCNUseNrepresentative_NUseRClPastPPosStrandRelSlashthat_RPSlashVPUsePNsmith_PNSlashV2awrite_to_V2every_week_Adv +there is a representative that Smith wrote to every week +there is a representative that Smith wrote to every week +det finns en representant som Smith skrev till varje vecka + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNhouse_Nat_a_quarter_past_five_Adv +Smith left the house at a quarter past five +Smith left the house at a quarter past five +Smith lämnade huset kvart över fem + + +SentencePredVPSUsePronshe_PronConjVPS2and_ConjPastPPosComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumSgAdvCNUseNtaxi_NPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNstation_NPastPPosComplSlashSlashV2acatch_V2DetCNDetQuantOrdDefArtNumSgOrdNumeralN_oneAdvCNUseNtrain_NPrepNPto_PrepUsePNluxembourg_PN +she took a taxi to the station and caught the first train to Luxembourg +she took a taxi to the station and caught the first train to Luxembourg +hon tog en taxi till stationen och kom med det första tåget till Luxemburg + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2alose_V2DetCNsomePl_DetUseNfile_N +Smith lost some files +Smith lost some files +Smith förlorade några filer + + +SentenceUseClPastPPosPredVPUsePronthey_PronAdvVPPassV2sdestroy_V2SubjSwhen_SubjUseClPastPPosPredVPDetCNDetQuantPossPronshe_PronNumSgUseNhard_disk_NUseVcrash_V +they were destroyed when her hard disk crashed +they were destroyed when her hard disk crashed +de förstördes när hennes hårddisk kraschade + + +SentenceUseClPastPerfectPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNhouse_Nat_a_quarter_past_five_Adv +Smith had left the house at a quarter past five +Smith had left the house at a quarter past five +Smith hade lämnat huset kvart över fem + + +PSentencethen_PConjUseClPastPPosPredVPUsePronshe_PronComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumSgAdvCNUseNtaxi_NPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNstation_N +then she took a taxi to the station +then she took a taxi to the station +sedan hon tog en taxi till stationen + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNhouse_NSubjSbefore_SubjUseClPastPPosPredVPUsePronshe_PronAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumSgUseNtaxi_NPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNstation_N +did Smith leave the house before she took a taxi to the station +did Smith leave the house before she took a taxi to the station +lämnade Smith huset innan hon tog en taxi till stationen + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNhouse_NSubjSbefore_SubjUseClPastPPosPredVPUsePronshe_PronAdvVPComplSlashSlashV2atake_V2DetCNDetQuantIndefArtNumSgUseNtaxi_NPrepNPto_PrepDetCNDetQuantDefArtNumSgUseNstation_N +Smith left the house before she took a taxi to the station +Smith left the house before she took a taxi to the station +Smith lämnade huset innan hon tog en taxi till stationen + + +SentenceUseClPresentPPosPredVPUsePNitel_PNAdVVPalways_AdVAdvVPComplSlashSlashV2adeliver_V2DetCNDetQuantIndefArtNumPlUseNreport_Nlate_Adv +ITEL always delivers reports late +ITEL always delivers reports late +ITEL lämnar alltid rapporter sent + + +SentenceAdvSin_1993_AdvUseClPastPPosPredVPUsePNitel_PNComplSlashSlashV2adeliver_V2DetCNDetQuantIndefArtNumPlUseNreport_N +in 1993 ITEL delivered reports +in 1993 ITEL delivered reports +1993 lämnade ITEL rapporter + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPAdvVPComplSlashSlashV2adeliver_V2DetCNDetQuantIndefArtNumPlUseNreport_Nlate_Advin_1993_Adv +did ITEL deliver reports late in 1993 +did ITEL deliver reports late in 1993 +lämnade ITEL rapporter sent 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPAdvVPComplSlashSlashV2adeliver_V2DetCNDetQuantIndefArtNumPlUseNreport_Nlate_Advin_1993_Adv +ITEL delivered reports late in 1993 +ITEL delivered reports late in 1993 +ITEL lämnade rapporter sent 1993 + + +SentenceUseClPresentPPosPredVPUsePNitel_PNAdVVPnever_AdVAdvVPComplSlashSlashV2adeliver_V2DetCNDetQuantIndefArtNumPlUseNreport_Nlate_Adv +ITEL never delivers reports late +ITEL never delivers reports late +ITEL lämnar aldrig rapporter sent + + + +in 1993 ITEL delivered reports +in 1993 ITEL delivered reports +1993 lämnade ITEL rapporter + + + +did ITEL deliver reports late in 1993 +did ITEL deliver reports late in 1993 +lämnade ITEL rapporter sent 1993 + + + +ITEL delivered reports late in 1993 +ITEL delivered reports late in 1993 +ITEL lämnade rapporter sent 1993 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPComplSlashSlashV2aarrive_in_V2UsePNparis_PNon_the_5th_of_may_1995_Adv +Smith arrived in Paris on the 5th of May , 1995 +Smith arrived in Paris on the 5th of May , 1995 +Smith anlände till Paris den 5:e maj 1995 + + +SentenceUseClPresentPPosPredVPMassNPUseNtoday_NUseCompCompAdvthe_15th_of_may_1995_Adv +today is the 15th of May , 1995 +today is the 15th of May , 1995 +idag är den 15 maj 1995 + + +SentenceUseClPresentPPosPredVPUsePronshe_PronAdVVPstill_AdVUseCompCompAdvPrepNPin_PrepUsePNparis_PN +she is still in Paris +she is still in Paris +hon är fortfarande i Paris + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNAdvVPUseCompCompAdvPrepNPin_PrepUsePNparis_PNon_the_7th_of_may_1995_Adv +was Smith in Paris on the 7th of May , 1995 +was Smith in Paris on the 7th of May , 1995 +var Smith i Paris den 7:e maj 1995 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNAdvVPUseCompCompAdvPrepNPin_PrepUsePNparis_PNon_the_7th_of_may_1995_Adv +Smith was in Paris on the 7th of May , 1995 +Smith was in Paris on the 7th of May , 1995 +Smith var i Paris den 7:e maj 1995 + + +SentenceAdvSSubjSwhen_SubjUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aarrive_in_V2UsePNkatmandu_PNUseClPastPerfectPPosPredVPUsePronshe_PronAdvVPProgrVPaUseVtravel_Vfor_three_days_Adv +when Smith arrived in Katmandu she had been travelling for three days +when Smith arrived in Katmandu she had been travelling for three days +när Smith anlände till Katmandu hade hon rest i tre dagar + + +had Smith been travelling the day before she arrived in Katmandu + + +Smith had been travelling the day before she arrived in Katmandu + + +SentenceUseClPastPerfectPPosPredVPUsePNsmith_PNAdvVPProgrVPaUseVtravel_VPrepNPon_PrepDetCNDetQuantDefArtNumSgAdvCNUseNday_NSubjSbefore_SubjUseClPastPPosPredVPUsePronshe_PronComplSlashSlashV2aarrive_in_V2UsePNkatmandu_PN +Smith had been travelling on the day before she arrived in Katmandu +Smith had been travelling on the day before she arrived in Katmandu +Smith hade rest på dagen innan hon anlände till Katmandu + + +SentencePredVPSUsePNjones_PNConjVPS2and_ConjPastPPosAdvVPUseVgraduate_Vin_march_AdvPresentPerfectPPosAdvVPUseCompCompAPPositAemployed_Aever_since_Adv +Jones graduated in March and has been employed ever since +Jones graduated in March and has been employed ever since +Jones utexaminerades i mars och har varit anställd ända sedan dess + + +SentenceUseClPresentPerfectPPosPredVPUsePNjones_PNAdvVPUseCompCompAPPositAunemployed_Ain_the_past_Adv +Jones has been unemployed in the past +Jones has been unemployed in the past +Jones har varit arbetslös tidigare + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNAdvVPAdvVPUseCompCompAPPositAunemployed_Aat_some_time_AdvSubjSbefore_SubjUseClPastPPosPredVPUsePronhe_PronUseVgraduate_V +was Jones unemployed at some time before he graduated +was Jones unemployed at some time before he graduated +var Jones arbetslös vid någon tidpunkt innan han utexaminerades + + +SentenceUseClPastPPosPredVPUsePNjones_PNAdvVPAdvVPUseCompCompAPPositAunemployed_Aat_some_time_AdvSubjSbefore_SubjUseClPastPPosPredVPUsePronhe_PronUseVgraduate_V +Jones was unemployed at some time before he graduated +Jones was unemployed at some time before he graduated +Jones var arbetslös vid någon tidpunkt innan han utexaminerades + + +SentenceUseClPresentPerfectPPosPredVPDetCNevery_DetUseNrepresentative_NComplSlashSlashV2aread_V2DetCNDetQuantthis_QuantNumSgUseNreport_N +every representative has read this report +every representative has read this report +varje representant har läst den här rapporten + + +SentenceUseClPresentPerfectPPosPredVPDetCNDetQuantno_QuantNumCardNumNumeralN_twoUseNrepresentative_NAdvVPComplSlashSlashV2aread_V2UsePronit_Pronat_the_same_time_Adv +no two representatives have read it at the same time +no two representatives have read it at the same time +inga två representanter har läst det samtidigt + + +SentenceUseClPastPPosPredVPDetCNDetQuantno_QuantNumSgUseNrepresentative_NComplSlashSlashV2Vtake_V2VComplSlashSlashV2aread_V2DetCNDetQuantDefArtNumSgUseNreport_NDetCNDetQuantIndefArtNumCardAdNumless_than_AdNhalf_a_CardUseNday_N +no representative took less than half a day to read the report +no representative took less than half a day to read the report +ingen representant tog mindre än en halv dag att läsa rapporten + + +SentenceUseClPresentPPosExistNPDetCNDetQuantIndefArtNumCardNumNumeralN_sixteenUseNrepresentative_N +there are sixteen representatives +there are sixteen representatives +det finns sexton representanter + + +QuestionUseQClPastPPosQuestClImpersClComplSlashSlashV2Vtake_V2VComplSlashSlashV2aread_V2DetCNDetQuantDefArtNumSgUseNreport_NDetCNDetQuantDefArtNumPlAdjCNComparAmany_ADetCNDetQuantIndefArtNumSgUseNweek_NUseNrepresentative_N +did it take the representatives more than a week to read the report +did it take the representatives more than a week to read the report +tog det de representanterna mer än en vecka att läsa rapporten + + +SentenceUseClPastPPosImpersClComplSlashSlashV2Vtake_V2VComplSlashSlashV2aread_V2DetCNDetQuantDefArtNumSgUseNreport_NDetCNDetQuantDefArtNumPlAdjCNComparAmany_ADetCNDetQuantIndefArtNumSgUseNweek_NUseNrepresentative_N +it took the representatives more than a week to read the report +it took the representatives more than a week to read the report +det tog de representanterna mer än en vecka att läsa rapporten + + +SentenceExtAdvSSubjSwhile_SubjUseClPastPPosPredVPUsePNjones_PNProgrVPaComplSlashSlashV2aupdate_V2DetCNDetQuantDefArtNumSgUseNprogram_NPredVPSUsePNmary_PNConjVPS2and_ConjPastPPosUseVcome_in_VPastPPosComplSlashSlash3V3tell_about_V3DetCNDetQuantDefArtNumSgUseNboard_meeting_NUsePronhe_Pron +while Jones was updating the program , Mary came in and told him about the board meeting +while Jones was updating the program , Mary came in and told him about the board meeting +medan Jones uppdaterade programmet , kom in och berättade för honom om styrelsemötet Mary + + +SentenceUseClPastPPosPredVPUsePronshe_PronAdvVPComplVVfinish_VVelliptic_VPSubjSbefore_SubjUseClPastPPosPredVPUsePronhe_PronComplVVdo_VVelliptic_VP +she finished [..] before he did [..] +she finished [..] before he did [..] +hon slutade att [..] innan han gjorde [..] + + +did Mary's story last as long as Jones' updating the program + + +Mary's story lasted as long as Jones' updating the program + + +SentenceExtAdvSSubjSbefore_SubjUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2abuy_V2DetCNDetQuantPossPronitRefl_PronNumSgAdjCNPositApresent8current_AUseNoffice_building_NUseClPastPerfectPPosImpersClAdvVPAdvVPProgrVPaComplSlashSlashV2apay_V2MassNPUseNmortgage_interest_NPrepNPon_PrepDetCNDetQuantDefArtNumSgAdjCNPositAprevious_AUseNone_Nfor_8_years_Adv +before APCOM bought its present office building , it had been paying mortgage interest on the previous one for 8 years +before APCOM bought its present office building , it had been paying mortgage interest on the previous one for 8 years +innan APCOM köpte sin nuvarande kontorsbyggnad , hade det betalat hypoteksränta på den förra nen i 8 år + + +SentenceAdvSSubjSsince_SubjUseClPastPPosPredVPUsePNapcom_PNComplSlashSlashV2abuy_V2DetCNDetQuantPossPronitRefl_PronNumSgAdjCNPositApresent8current_AUseNoffice_building_NUseClPresentPerfectPPosImpersClAdvVPAdvVPProgrVPaComplSlashSlashV2apay_V2MassNPUseNmortgage_interest_NPrepNPon_PrepUsePronit_Pronfor_more_than_10_years_Adv +since APCOM bought its present office building it has been paying mortgage interest on it for more than 10 years +since APCOM bought its present office building it has been paying mortgage interest on it for more than 10 years +sedan APCOM köpte sin nuvarande kontorsbyggnad har det betalat hypoteksränta på det i mer än 10 år + + +QuestionUseQClPresentPerfectPPosQuestClPredVPUsePNapcom_PNAdvVPProgrVPaComplSlashSlashV2apay_V2MassNPUseNmortgage_interest_Nfor_a_total_of_15_years_or_more_Adv +has APCOM been paying mortgage interest for a total of 15 years or more +has APCOM been paying mortgage interest for a total of 15 years or more +har APCOM betalat hypoteksränta i totalt 15 år eller mer + + +SentenceUseClPresentPerfectPPosPredVPUsePNapcom_PNAdvVPProgrVPaComplSlashSlashV2apay_V2MassNPUseNmortgage_interest_Nfor_a_total_of_15_years_or_more_Adv +APCOM has been paying mortgage interest for a total of 15 years or more +APCOM has been paying mortgage interest for a total of 15 years or more +APCOM har betalat hypoteksränta i totalt 15 år eller mer + + +SentenceExtAdvSSubjSwhen_SubjUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2aget_V2DetCNDetQuantPossPronheRefl_PronNumSgAdvCNUseNjob_NPrepNPat_PrepUsePNthe_cia_PNUseClPastPPosPredVPUsePronhe_PronComplVSknow_VSUseClConditionalPPosPredVPUsePronhe_PronAdVVPnever_AdVPassVPSlashSlashV2Vallow_V2VComplSlashSlashV2awrite_V2DetCNDetQuantPossPronheRefl_PronNumPlUseNmemoir_N +when Jones got his job at the CIA , he knew that he would never be allowed to write his memoirs +when Jones got his job at the CIA , he knew that he would never be allowed to write his memoirs + + +is it the case that Jones is not and will never be allowed to write his memoirs + + +it is the case that Jones is not and will never be allowed to write his memoirs + + +SentenceUseClPresentPPosImpersClAdvVPUseCompCompNPDetCNDetQuantDefArtNumSgUseNcase_NSubjSthat_SubjPredVPSUsePNjones_PNConjVPS2and_ConjPresentUncNegPassVPSlashelliptic_VPSlashFuturePPosAdVVPnever_AdVPassVPSlashSlashV2Vallow_V2VComplSlashSlashV2awrite_V2DetCNDetQuantPossPronheRefl_PronNumPlUseNmemoir_N +it is the case that Jones is not [..] and never will be allowed to write his memoirs +it is the case that Jones is not [..] and never will be allowed to write his memoirs + + +SentenceUseClPresentPerfectPPosPredVPUsePNsmith_PNAdvVPAdvVPUseCompCompAdvPrepNPto_PrepUsePNflorence_PNtwice_Advin_the_past_Adv +Smith has been to Florence twice in the past +Smith has been to Florence twice in the past +Smith har varit till Florens två gånger tidigare + + +SentenceUseClFuturePPosPredVPUsePNsmith_PNAdvVPAdvVPAdvVPUseVgo8travel_VPrepNPto_PrepUsePNflorence_PNtwice_Advin_the_coming_year_Adv +Smith will go to Florence twice in the coming year +Smith will go to Florence twice in the coming year +Smith ska åka till Florens två gånger under det kommande året + + +two years from now will Smith have been to Florence at least four times + + +SentenceAdvStwo_years_from_now_AdvUseClFuturePerfectPPosPredVPUsePNsmith_PNAdvVPUseCompCompAdvPrepNPto_PrepUsePNflorence_PNat_least_four_times +two years from now Smith will have been to Florence at least four times +two years from now Smith will have been to Florence at least four times +om två år ska Smith ha varit till Florens minst fyra gånger + + +last week I already knew that when , in a month's time , Smith would discover that she had been duped she would be furious + + +SentenceAdvSlast_week_AdvUseClPastPPosPredVPUseProni_PronAdVVPalready_AdVComplVSknow_VSExtAdvSSubjSwhen_SubjExtAdvSin_a_months_time_AdvUseClConditionalPPosPredVPUsePNsmith_PNComplVSdiscover_VSUseClPastPerfectPPosPredVPUsePronshe_PronPassV2dupe_V2UseClConditionalPPosPredVPUsePronshe_PronUseCompCompAPPositAfurious_A +last week I already knew that when in a month's time , Smith would discover that she had been duped , she would be furious +last week I already knew that when in a month's time , Smith would discover that she had been duped , she would be furious +förra veckan visste jag redan att när om en månad , skulle Smith upptäcka att hon hade blivit lurad , skulle hon vara rasande + + +will it be the case that in a few weeks Smith will discover that she has been duped; and will she be furious + + +SentenceUseClFuturePPosImpersClAdvVPUseCompCompNPDetCNDetQuantDefArtNumSgUseNcase_NSubjSthat_SubjConjS2semicolon_and_ConjAdvSin_a_few_weeks_AdvUseClFuturePPosPredVPUsePNsmith_PNComplVSdiscover_VSUseClPresentPerfectPPosPredVPUsePronshe_PronPassV2dupe_V2UseClFuturePPosPredVPUsePronshe_PronUseCompCompAPPositAfurious_A +it will be the case that in a few weeks Smith will discover that she has been duped ; and she will be furious +it will be the case that in a few weeks Smith will discover that she has been duped; and she will be furious +det ska vara fallet att om några veckor ska Smith upptäcka att hon har blivit lurad ; och hon ska vara rasande + + +no one gambling seriously stops until he is broke + + +SentenceUseClPresentPPosPredVPRelNPaUsePronno_one_PronUseRClPresentPPosRelVPIdRPAdvVPProgrVPaUseVgamble_VPositAdvAdjserious_AAdvVPUseVstop_VSubjSuntil_SubjUseClPresentPPosPredVPUsePronhe_PronUseCompCompAPPositAbroke_A +no one who is gambling seriously stops until he is broke +no one who is gambling seriously stops until he is broke +ingen som spelar seriöst slutar förrän han är pank + + +SentenceUseClPresentPPosPredVPUsePronno_one_PronComplVVcan_VVAdvVPUseVgamble_VSubjSwhen_SubjUseClPresentPPosPredVPUsePronhe_PronUseCompCompAPPositAbroke_A +no one can gamble when he is broke +no one can gamble when he is broke +ingen kan spela när han är pank + + +does everyone who starts gambling seriously stop the moment he is broke + + +everyone who starts gambling seriously stops the moment he is broke + + +SentenceUseClPresentPPosPredVPRelNPaUseProneveryone_PronUseRClPresentPPosRelVPIdRPComplVVstart_VVAdvVPUseVgamble_VPositAdvAdjserious_AAdvVPUseVstop_VPrepNPat_PrepDetCNDetQuantDefArtNumSgAdvCNUseNmoment_NSubjSwhen_SubjUseClPresentPPosPredVPUsePronhe_PronUseCompCompAPPositAbroke_A +everyone who starts gambling seriously stops at the moment when he is broke +everyone who starts gambling seriously stops at the moment when he is broke +alla som börjar spela seriöst slutar på ögonblicket när han är pank + + +SentenceUseClPresentPPosPredVPRelNPaUsePronno_one_PronUseRClPresentPPosRelVPIdRPComplVVstart_VVAdvVPUseVgamble_VPositAdvAdjserious_AAdvVPUseVstop_VSubjSuntil_SubjUseClPresentPPosPredVPUsePronhe_PronUseCompCompAPPositAbroke_A +no one who starts gambling seriously stops until he is broke +no one who starts gambling seriously stops until he is broke +ingen som börjar spela seriöst slutar förrän han är pank + + +does everyone who starts gambling seriously continue until he is broke + + +SentenceUseClPresentPPosPredVPRelNPaUseProneveryone_PronUseRClPresentPPosRelVPIdRPComplVVstart_VVAdvVPUseVgamble_VPositAdvAdjserious_AAdvVPUseVcontinue_VSubjSuntil_SubjUseClPresentPPosPredVPUsePronhe_PronUseCompCompAPPositAbroke_A +everyone who starts gambling seriously continues until he is broke +everyone who starts gambling seriously continues until he is broke +alla som börjar spela seriöst fortsätter förrän han är pank + + +SentenceUseClPresentPPosPredVPRelNPaUsePronnobody_PronUseRClPresentPPosRelVPIdRPUseCompCompAPPositAasleep_AAdVVPever_AdVComplVSknow_VSUseClPresentPPosPredVPUsePronhe_PronUseCompCompAPPositAasleep_A +nobody who is asleep ever knows that he is asleep +nobody who is asleep ever knows that he is asleep +ingen som är sovande vet någonsin att han är sovande + + +PSentencebut_PConjUseClPresentPPosPredVPDetCNsomePl_DetUseNperson_NAdvVPComplVSknow_VSUseClPresentPerfectPPosPredVPUsePronthey_PronUseCompCompAPPositAasleep_ASubjSafter_SubjUseClPresentPerfectPPosPredVPUsePronthey_PronUseCompCompAPPositAasleep_A +but some people know that they have been asleep after they have been asleep +but some people know that they have been asleep after they have been asleep +men några människor vet att de har varit sovande efter det att de har varit sovande + + +QuestionUseQClPresentPPosQuestClPredVPDetCNsomePl_DetUseNperson_NComplVSdiscover_VSUseClPresentPerfectPPosPredVPUsePronthey_PronUseCompCompAPPositAasleep_A +do some people discover that they have been asleep +do some people discover that they have been asleep +upptäcker några människor att de har varit sovande + + +SentenceUseClPresentPPosPredVPDetCNsomePl_DetUseNperson_NComplVSdiscover_VSUseClPresentPerfectPPosPredVPUsePronthey_PronUseCompCompAPPositAasleep_A +some people discover that they have been asleep +some people discover that they have been asleep +några människor upptäcker att de har varit sovande + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2abuild_V2UsePNmtalk_PNin_1993_Adv +ITEL built MTALK in 1993 +ITEL built MTALK in 1993 +ITEL tillverkade MTALK 1993 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2afinish_V2UsePNmtalk_PNin_1993_Adv +did ITEL finish MTALK in 1993 +did ITEL finish MTALK in 1993 +slutförde ITEL MTALK 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2afinish_V2UsePNmtalk_PNin_1993_Adv +ITEL finished MTALK in 1993 +ITEL finished MTALK in 1993 +ITEL slutförde MTALK 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPProgrVPaComplSlashSlashV2abuild_V2UsePNmtalk_PNin_1993_Adv +ITEL was building MTALK in 1993 +ITEL was building MTALK in 1993 +ITEL tillverkade MTALK 1993 + + + +did ITEL finish MTALK in 1993 +did ITEL finish MTALK in 1993 +slutförde ITEL MTALK 1993 + + + +ITEL finished MTALK in 1993 +ITEL finished MTALK in 1993 +ITEL slutförde MTALK 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_NPrepNPfrom_PrepUsePNapcom_PNin_1993_Adv +ITEL won the contract from APCOM in 1993 +ITEL won the contract from APCOM in 1993 +ITEL vann kontraktet från APCOM 1993 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNcontract_Nin_1993_Adv +did ITEL win a contract in 1993 +did ITEL win a contract in 1993 +vann ITEL ett kontrakt 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantIndefArtNumSgUseNcontract_Nin_1993_Adv +ITEL won a contract in 1993 +ITEL won a contract in 1993 +ITEL vann ett kontrakt 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPAdvVPProgrVPaComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_NPrepNPfrom_PrepUsePNapcom_PNin_1993_Adv +ITEL was winning the contract from APCOM in 1993 +ITEL was winning the contract from APCOM in 1993 +ITEL vann kontraktet från APCOM 1993 + + + +did ITEL win a contract in 1993 +did ITEL win a contract in 1993 +vann ITEL ett kontrakt 1993 + + + +ITEL won a contract in 1993 +ITEL won a contract in 1993 +ITEL vann ett kontrakt 1993 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2aown_V2UsePNapcom_PNfrom_1988_to_1992_Adv +ITEL owned APCOM from 1988 to 1992 +ITEL owned APCOM from 1988 to 1992 +ITEL ägde APCOM från 1988 till 1992 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2aown_V2UsePNapcom_PNin_1990_Adv +did ITEL own APCOM in 1990 +did ITEL own APCOM in 1990 +ägde ITEL APCOM 1990 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2aown_V2UsePNapcom_PNin_1990_Adv +ITEL owned APCOM in 1990 +ITEL owned APCOM in 1990 +ITEL ägde APCOM 1990 + + +SentenceUseClPastPPosPredVPConjNP2and_ConjUsePNsmith_PNUsePNjones_PNComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +Smith and Jones left the meeting +Smith and Jones left the meeting +Smith och Jones lämnade mötet + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did Smith leave the meeting +did Smith leave the meeting +lämnade Smith mötet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +Smith left the meeting +Smith left the meeting +Smith lämnade mötet + + + +Smith and Jones left the meeting +Smith and Jones left the meeting +Smith och Jones lämnade mötet + + +QuestionUseQClPastPPosQuestClPredVPUsePNjones_PNComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +did Jones leave the meeting +did Jones leave the meeting +lämnade Jones mötet + + +SentenceUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2aleave_V2DetCNDetQuantDefArtNumSgUseNmeeting_N +Jones left the meeting +Jones left the meeting +Jones lämnade mötet + + +SentenceUseClPastPPosPredVPConjNP3and_ConjUsePNsmith_PNUsePNanderson_PNUsePNjones_PNUseVmeet_V +Smith , Anderson and Jones met +Smith , Anderson and Jones met +Smith , Anderson och Jones träffades + + +QuestionUseQClPastPPosQuestClExistNPDetCNDetQuantIndefArtNumSgRelCNComplN2group_N2DetCNDetQuantIndefArtNumPlUseNperson_NUseRClPastPPosRelVPthat_RPUseVmeet_V +was there a group of people that met +was there a group of people that met +fanns det en grupp människor som träffades + + +SentenceUseClPastPPosExistNPDetCNDetQuantIndefArtNumSgRelCNComplN2group_N2DetCNDetQuantIndefArtNumPlUseNperson_NUseRClPastPPosRelVPthat_RPUseVmeet_V +there was a group of people that met +there was a group of people that met +det fanns en grupp människor som träffades + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplVSknow_VSUseClPastPerfectPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +Smith knew that ITEL had won the contract in 1992 +Smith knew that ITEL had won the contract in 1992 +Smith visste att ITEL hade vunnit kontraktet 1992 + + +QuestionUseQClPastPPosQuestClPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +did ITEL win the contract in 1992 +did ITEL win the contract in 1992 +vann ITEL kontraktet 1992 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +ITEL won the contract in 1992 +ITEL won the contract in 1992 +ITEL vann kontraktet 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplVSbelieve_VSUseClPastPerfectPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +Smith believed that ITEL had won the contract in 1992 +Smith believed that ITEL had won the contract in 1992 +Smith trodde att ITEL hade vunnit kontraktet 1992 + + + +did ITEL win the contract in 1992 +did ITEL win the contract in 1992 +vann ITEL kontraktet 1992 + + + +ITEL won the contract in 1992 +ITEL won the contract in 1992 +ITEL vann kontraktet 1992 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplVVmanage_VVComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +ITEL managed to win the contract in 1992 +ITEL managed to win the contract in 1992 +ITEL lyckades att vinna kontraktet 1992 + + + +did ITEL win the contract in 1992 +did ITEL win the contract in 1992 +vann ITEL kontraktet 1992 + + + +ITEL won the contract in 1992 +ITEL won the contract in 1992 +ITEL vann kontraktet 1992 + + +SentenceUseClPastPPosPredVPUsePNitel_PNAdvVPComplVVtry_VVComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +ITEL tried to win the contract in 1992 +ITEL tried to win the contract in 1992 +ITEL försökte att vinna kontraktet 1992 + + + +did ITEL win the contract in 1992 +did ITEL win the contract in 1992 +vann ITEL kontraktet 1992 + + + +ITEL won the contract in 1992 +ITEL won the contract in 1992 +ITEL vann kontraktet 1992 + + +SentenceUseClPresentPPosImpersClUseCompCompAPSentAPPositAtrue_AEmbedSUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +it is true that ITEL won the contract in 1992 +it is true that ITEL won the contract in 1992 +det är sant att ITEL vann kontraktet 1992 + + + +did ITEL win the contract in 1992 +did ITEL win the contract in 1992 +vann ITEL kontraktet 1992 + + + +ITEL won the contract in 1992 +ITEL won the contract in 1992 +ITEL vann kontraktet 1992 + + +SentenceUseClPresentPPosImpersClUseCompCompAPSentAPPositAfalse_AEmbedSUseClPastPPosPredVPUsePNitel_PNAdvVPComplSlashSlashV2awin_V2DetCNDetQuantDefArtNumSgUseNcontract_Nin_1992_Adv +it is false that ITEL won the contract in 1992 +it is false that ITEL won the contract in 1992 +det är inte sant att ITEL vann kontraktet 1992 + + + +did ITEL win the contract in 1992 +did ITEL win the contract in 1992 +vann ITEL kontraktet 1992 + + + +ITEL won the contract in 1992 +ITEL won the contract in 1992 +ITEL vann kontraktet 1992 + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUsePNjones_PN +Smith saw Jones sign the contract +Smith saw Jones sign the contract +Smith såg Jones underteckna kontraktet + + +SentenceExtAdvSSubjSif_SubjUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUseClPastPPosPredVPDetCNDetQuantPossPronhe_PronNumSgUseNheart_NProgrVPaUseVbeat_V +if Jones signed the contract , his heart was beating +if Jones signed the contract , his heart was beating +om Jones undertecknade kontraktet , slog hans hjärta + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2Vsee_V2VUseVbeat_VDetCNDetQuantGenNPUsePNjones_PNNumSgUseNheart_N +did Smith see Jones' heart beat +did Smith see Jones' heart beat +såg Smith Jones hjärta slå + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2Vsee_V2VUseVbeat_VDetCNDetQuantGenNPUsePNjones_PNNumSgUseNheart_N +Smith saw Jones' heart beat +Smith saw Jones' heart beat +Smith såg Jones hjärta slå + + + +Smith saw Jones sign the contract +Smith saw Jones sign the contract +Smith såg Jones underteckna kontraktet + + +SentenceExtAdvSSubjSwhen_SubjUseClPastPPosPredVPUsePNjones_PNComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUseClPastPPosPredVPDetCNDetQuantPossPronhe_PronNumSgUseNheart_NProgrVPaUseVbeat_V +when Jones signed the contract , his heart was beating +when Jones signed the contract , his heart was beating +när Jones undertecknade kontraktet , slog hans hjärta + + + +did Smith see Jones' heart beat +did Smith see Jones' heart beat +såg Smith Jones hjärta slå + + + +Smith saw Jones' heart beat +Smith saw Jones' heart beat +Smith såg Jones hjärta slå + + + +Smith saw Jones sign the contract +Smith saw Jones sign the contract +Smith såg Jones underteckna kontraktet + + + +did Jones sign the contract +did Jones sign the contract +undertecknade Jones kontraktet + + + +Jones signed the contract +Jones signed the contract +Jones undertecknade kontraktet + + + +Smith saw Jones sign the contract +Smith saw Jones sign the contract +Smith såg Jones underteckna kontraktet + + +SentenceUseClPresentPPosPredVPUsePNjones_PNUseCompCompNPDetCNDetQuantDefArtNumSgComplN2chairman_N2UsePNitel_PN +Jones is the chairman of ITEL +Jones is the chairman of ITEL +Jones är ordföranden för ITEL + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NDetCNDetQuantDefArtNumSgComplN2chairman_N2UsePNitel_PN +did Smith see the chairman of ITEL sign the contract +did Smith see the chairman of ITEL sign the contract +såg Smith ordföranden för ITEL underteckna kontraktet + + +SentenceUseClPastPPosPredVPUsePNsmith_PNComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NDetCNDetQuantDefArtNumSgComplN2chairman_N2UsePNitel_PN +Smith saw the chairman of ITEL sign the contract +Smith saw the chairman of ITEL sign the contract +Smith såg ordföranden för ITEL underteckna kontraktet + + +SentenceUseClPastPPosPredVPUsePNhelen_PNComplSlashSlashV2Vsee_V2VComplSlashSlashV2aanswer_V2DetCNDetQuantDefArtNumSgUseNphone_NDetCNDetQuantDefArtNumSgComplN2chairman_N2DetCNDetQuantDefArtNumSgUseNdepartment_N +Helen saw the chairman of the department answer the phone +Helen saw the chairman of the department answer the phone +Helen såg ordföranden för avdelningen svara i telefonen + + +SentenceUseClPresentPPosPredVPDetCNDetQuantDefArtNumSgComplN2chairman_N2DetCNDetQuantDefArtNumSgUseNdepartment_NUseCompCompCNUseNperson_N +the chairman of the department is a person +the chairman of the department is a person +ordföranden för avdelningen är en människa + + +QuestionUseQClPresentPPosQuestClExistNPRelNPaUsePronanyone_PronUseRClPastPPosStrandRelSlashIdRPSlashVPUsePNhelen_PNSlashV2Vsee_V2VComplSlashSlashV2aanswer_V2DetCNDetQuantDefArtNumSgUseNphone_N +is there anyone whom Helen saw answer the phone +is there anyone whom Helen saw answer the phone +finns det någon som Helen såg + + +SentenceUseClPresentPPosExistNPRelNPaUsePronsomeone_PronUseRClPastPPosStrandRelSlashIdRPSlashVPUsePNhelen_PNSlashV2Vsee_V2VComplSlashSlashV2aanswer_V2DetCNDetQuantDefArtNumSgUseNphone_N +there is someone whom Helen saw answer the phone +there is someone whom Helen saw answer the phone +det finns någon som Helen såg + + +SentencePredVPSUsePNsmith_PNConjVPS2and_ConjPastPPosComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUsePNjones_PNPastPPosComplSlashSlashV2Velliptic_V2VComplSlashSlashV2amake8do_V2DetCNDetQuantIndefArtNumSgUseNcopy_NDetCNDetQuantPossPronheRefl_PronNumSgUseNsecretary_N +Smith saw Jones sign the contract and [..] his secretary make a copy +Smith saw Jones sign the contract and [..] his secretary make a copy +Smith såg Jones underteckna kontraktet och [..] sin sekreterare göra en kopia + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUsePNjones_PN +did Smith see Jones sign the contract +did Smith see Jones sign the contract +såg Smith Jones underteckna kontraktet + + + +Smith saw Jones sign the contract +Smith saw Jones sign the contract +Smith såg Jones underteckna kontraktet + + +SentencePredVPSUsePNsmith_PNConjVPS2or_ConjPastPPosComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUsePNjones_PNPastPPosComplSlashSlashV2Velliptic_V2VComplSlashSlashV2across_out_V2DetCNDetQuantDefArtNumSgAdjCNPositAcrucial_AUseNclause_Nelliptic_NP_Sg +Smith saw Jones sign the contract or [..] [..] cross out the crucial clause +Smith saw Jones sign the contract or [..] [..] cross out the crucial clause +Smith såg Jones underteckna kontraktet eller [..] [..] stryka över den kritiska paragrafen + + +QuestionUseQClPastPPosQuestClPredVPUsePNsmith_PNComplVPIVVdo_VVConjVPI2either7or_DConjComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUsePNjones_PNComplSlashSlashV2Vsee_V2VComplSlashSlashV2across_out_V2DetCNDetQuantDefArtNumSgAdjCNPositAcrucial_AUseNclause_NUsePNjones_PN +did Smith either see Jones sign the contract or see Jones cross out the crucial clause +did Smith either see Jones sign the contract or see Jones cross out the crucial clause +gjorde Smith antingen se Jones underteckna kontraktet eller se Jones stryka över den kritiska paragrafen + + +SentencePredVPSUsePNsmith_PNConjVPS2either7or_DConjPastPPosComplSlashSlashV2Vsee_V2VComplSlashSlashV2asign_V2DetCNDetQuantDefArtNumSgUseNcontract_NUsePNjones_PNPastPPosComplSlashSlashV2Vsee_V2VComplSlashSlashV2across_out_V2DetCNDetQuantDefArtNumSgAdjCNPositAcrucial_AUseNclause_NUsePNjones_PN +Smith either saw Jones sign the contract or saw Jones cross out the crucial clause +Smith either saw Jones sign the contract or saw Jones cross out the crucial clause +Smith antingen såg Jones underteckna kontraktet eller såg Jones stryka över den kritiska paragrafen + + diff --git a/examples/fracas/dist/FraCaSBank-0.2.zip b/examples/fracas/dist/FraCaSBank-0.2.zip new file mode 100644 index 0000000000000000000000000000000000000000..7178dd3cc14f1082050ecdb46ef6e62bcc1d200f GIT binary patch literal 359268 zcmWIWW@Zs#U|`^25G%8G$P@S$9LdPQP{jlikzw#n%uY?q%t;Lm;bdU8UajQsyjID- zw1S&~k>x8R0|QuRX^?MzlY@Y*_5LKj86BKAzIa?(79sAvD#2m)7V%A=5<59kwr>1( zy?mPM6*b$pDQWliROXA_ixAkgubsal{T_2q?)#}p?jO?S`YLy}emphTm*+VDvu{RA zE`48jU{}M;x4z-urktFj|H(J*6I0~QgCAxv)$HItKG$$nCbMOb`4-31OJ>_w@@|rn z^1i>o@71i&xwD?Sb~zV!R15Y$nH};fw*INBl5)e!WRnwVA0}Qh6!+x5kz&=bv*P34 za_>X~y`Z?HN$>fmcT}n69Gj-|X>SK>qkIH|?{3xUd&9E7%8Qh1A9^F~Y<#k5-i?J5 zORt1VUtKP7)>ERj-D|?EKyl`h?1-%OpF5(v9$M<&*1T=CQu|M@!Hc)sJoPTDn7X09 z!S>Vd{7F;d;vMp3cW_LNn{#%V;MbQQBByrQoMP$!S?4>y`N^VXeAkp>KQ%45`(A;2 z{i@nZl^U0~oDakiQFAUc(7xttd0MzW1A})b0|PgM41=?OK%}RiyIx5}2{?8{_~!UU zuEvO+qp{J&w~tM#n;+l!sC%haMBn7%Nw$Srp<8^8-%<9C^4!*cUreP<>6*fUqpl|3 zujkj_wH0qzGU?WI-?!H`sw6C1zWlwp%E^cI^)dBc|7OIVf440Borw6tBx;uv7sik+%s(2*K^OrpIs^Zx&QXDwArqiAFmv~#dR$wb@m#c zyx**Er^USN+mbhJ&5IkF&M~(_pD&EO+M6kBR4`>%^li1DVIh^=7s^XNuiaZP`$e>F zoVQu&ZB_Sscg=2Y(w@e`zJJbx^*eLBkDq$hw&7ap{TCl&xA}i7y>F0ExtG!I_SWdm zi%Fb?VTvA;wpTapdo^p#+n~#TUv_q{+8nC){mYGXUpM>PAN!sqxI5Xc6L@mu`S}+X zUy~>2#_e0uYR0hl?Mu;J>yG7ZYMOVbh_U?ukC^5zvzO6Poeuwkj4f2)#qkZ+8-wT9Kmq0`}S(s_Zj+U@HkkF77A zud}%;{LuXkT*=<&?_UypHB0m1>04nZ`vf*_y=mUS%u`Vj^oR3#_M1~?ycx3%mRtBc zK1{oPVP?j8>8O7{GTTEY^90;qyO~cs^V-eH6Fgj;1l75iu-|63$Lu#5~ z5k@yf-~O`s8ht@>+O~>Ar)xJKnY7dQgUTmNWgN6+7HU##+G zCq#3VL@e>r+HK5}e!%>}m(#VYU(Jm-U%yf9GS9>CpPP@Zo*P@{^i=0t)V|(RTzuPm zYn4taPhmWyI_K%OTaWt+I3k1NSms3j_Wgh4&P{XPh*b|ip9mJ$5r45PJH|%t$kG{0 zbFCinI>ql+b<+}ajV#&0)ja=DfVf(zz)Bc4qin;Z~ zifu`7)p#PDDxEE|?pwo#qNg@-87_~$e495@uhf5b#}}69d0LrsH79nnuZk7kX^^VD zaKgQ;$QyW6^qwwSKwuHXr07y>-Os8C$2n~*G|rJzjE z)wO;p&PD5!W0iM_pOB2v)A;@7c<~|2PL7589BQd`pCfE6cWJ*>=48LNOZRm}=`zaNrqf2uD(xo?Mx<;@9yHs9Z_+OoUQ{9;7lc@-P! z7n5u!GdbH%&=cSEvFU{W5&QhCKg)FQ7T#F5@&8@%-q0H3Kdc*9g*$M2yIibU9G|*Y zFmclIqHdrql0{=)r9nK1uf_<1>dt!R%ArpXdELB_o%7};Np9+lBJ>H8q=;$Q@GQpDIxX8R-Nfw(F9RL zo-?|QU1HT*GMhh5d*`dO^;O~Sc@{nmb2ApE#y;ILwPW_g1o6dPmU~t(#LtS5c;T1B zJoD}>2IYnf#Z8hwHB@ig%wyU9!}!U)TKE51iu%8e_`hwhb};2B6n0#+h~>%gMJ+26 zMRWE`Et+|D=Jeb9Za#Xjz(48mGSTAsoy+n<4?QSSZ9sn^T(PdBYwaHdS_`q3rJdfWC*O+2p_deKQG!<==3 z%Nov9w`0@WZ%^8Nyrb`6TkretXCjymT??1*T@jqWGNZTI&NEFicUgZ&`i$o#Pjy$% zNO96Cck=iB!g|~9hnL#H6*C1=sso&L9&^Nfn!0(_kNG+eW}nDW(wZqIc!MSITyffO zVYbkDxijB>IBb?}RnA{=T;R08-1N6n;VN9hO12T=2Q55A54U{vy2>fN;lpDsXSD}G zYlNnLDS5Xqk$}wU<*N3A?>c5Q z9{E!K!t9s)?l;!Gl?~5(g(r2IKl%_Z@#tuFofOW-e_O({SH_Upvgla* z(x+c$czB}_X?QjaNK?90o^JLHcTSw~O% zr^ey#U*_}fLGXt?QJnucbfj}y-2y6L|txTd2xkvPbRM|=bskIg*Ua{d`?Ma{>K`bAyzay z=ZP(6@5`_+-0NO-z5V)HO3mHc@Rjh!QiUn%@7Be|sac1$US6@~!m<@QtFvzia1^Zd zm|DG@<6rCj$U~xa?;Y|)-@pIMbNQlbr}eUks(UNKJ*$?ntllCh?-Z|b#U-t~{fwBn zRRPns)I`mQr=}Hm6=uwh67;y4s$3d!V{TjzzZ@H*U3}pO?K{kwx59XsZ-pIluJKS} z*tD!z@LaUmX~*j+Z5G@7kKPpRxqMWCPf4jQ{8q$iKOL52=la|XUbUX<;!jjJysqTD ze);7e&nNwUS3>)aPMpEY!8NgGv3)*U(Y(jeho%{B?rOj2sCifC-|0;($3Hc0PpCd| z?wIZ@UY7T^K3CVAoV?RHs>0T3$%n-pPn!O_y~|{@_UVaTGvV+ug%>BMoH;P-tMW^m zUpH+X^rGj!7u@S1t2KRQL}%UNurt=vzBH+%{Z5Tfv%9s8QOax6zh7?z4^HqpVBB#} zaN*Qy!(*F#eb2M%Wg{+i0!|^n5y(&?RgG-lqooRGWT)i>*n9#g< zqxAbHytk^l)J&Z$ASfOd;QUN8)8>5>_fuWr3Es!NBIL}{Sx+R?^Y!YmiyX9F!u9F> z?T|M@Iq_4r73MYWnyQ$ge_l|Wb(?6Ovf_o-?;DnN-!y2AyViT;XHkQCQ<{Qb*TY#p zAze#0nJhjK@g$%t|C%C)h9I}cR$XF{^pu}?9C|;S?igxvE72}>J|7nT28#= z6b~uea(jijxa8cH&_$dIlbydQPdGSLZI4ZgcjLDtkxbjN{$s2EotW^UE^3pO*S1x+ zsyKV+aqoVWdrICkX?@0Yft|9((^DoD1toWxoxJpRbx!kysxWS40KlVX~)f zJI_yGa7(e7^X7Q>liX{QQg(gi>)bIh_!GD3jXx(M_x$N#JnHiD-yFJsf6zv0fXHR4~TxdT0q&8G+ zHd8iF@(sUjGF7#&=1jWm^lkSYF58%mn@l$HpX6KpZ_f?>iwC1NOyHg}_0p4xJry3e zracu}ZNt|m8hd}GuAG?s{C<(L(Dx@S>$VgbJ-+0kU38B7Wahz3DNIcDHmOTrJU3fV zvQhq5OU=PK{}qfY4=*fKaINa3MGxmJX?E-VcJbNP^K&(Ox0-smJuz^a`TC9LjJ_7L-389k(`>pn<*RD6 zt8(Z~d(oxnsp|A>VoHhSx~WI5u2z_4S|Ad*>a^t~Kew2fVFrE7w>AnhF8k6a*B+~| zeU{T3PB?+>iHZ>+S#SAH`8 z@0BFbV!hbVrD2kh^5>f>CQ__>%nuozJ2+ip=9BL#^WXL-el93jBr|=IgWs8HMe(nb zw6!|!r9|!hQgJz<{rqPA?zEfv57-YJk`L)>a7)C$^1wp-klyv5Bz^KQ6OA={Q|oGigt|#nbXb8{Rk0)685w zeL9cPqXQ9Ny>5QoB^M(XqB-#dQ`M}TyLVRCM)>F*@tM9cCcHG#-f8B9{F#MP#t$^O zxCC#juimGU8)tO)LZkdt>o1iS&M7T>>)wW3nEvyvuZo2g%lFK)bM8d-?Nqh@H(`&m zNsic;U$5)`JWl^GCDZf6p{0);)+h_Quadg-+~W}g@2uB_=^4&Pn++tqTNkdG67xZi zS*al6Y~-b-8{Hj`?AP#U@7XT-K&SAx>fs5T(Gtz!51F|hxh|M=^Og>`nuO>{_bbZ6 z8_!RXxAA_zMQK(&R;jqK3cc%#*;7E(T=+|341EZ z9xKmzv?+HI*KTjWt%6$0>uMLCxH7piM=oZTWuNc9z58QbYJT6mnjY)rpnJ`sYWHFx zy>f%A=k;$jdMckfy2C)$%RykH+7rReB7dLln6d7buH~OeQ=a}Q;7C@CW!Ai~&he($ z$Evl))n+%o9;?}0)-CNk#d>mx!Se#eq&aEU{ z+IPV$EM>n}o1S(0FhSDuedMkRn*p@dZ~DW=uuwveJgHX+qQ0!0=MO+ zi%cv^fQu0l%YFD3`wa4Wy zXHKqW(k*X}dCpxi0j32p3K0qJAAdW`>l|D9Ic)KvlR4`xe+w)We6;4oR!xVFC~HBn ztB;J5QGf|PkOER#IAYm1F@uAKP|7Vyq>aVg;lNp^kS#!e9WruOvmDw zy9|sRnYXFTZ2Yr-en?B8Q@(SL=a$bxtpPfp``nJW&F=M;TDbfa+flDW>Om`~*X<89 zn9IvtRPAwl!`fq>s#at^a10tx_Uwt2E2F%ic1%Nc+~Ri9*>2eNs}q59TbDCU!{C7wDsdJ5^(zwzr6iQs>jWu zaNT_?mr6M-b~{p)8=HBsQ{}+jc^{TOn$vd6Sn=1>vq{Uerl_=U3M=KGx43S`otdjQ zOyE%ob`M?6Eu>?y^ts0_zP+b^yxOuzdDjN#sw-S4)qA64Sq-*5+$6MgjpS@`*Vj#6 zLK^F)pI(!C+UHK-k}DGrIwUx1={#JVBq|=>=Y6BUS>Ni4asPMarz)S09Fpv?*Kdj~ zY5FMss@Kr^w5;YYRpY~jRm(03c`n^tcy`~N<2z?eYdR>fv@h@PP44i1FC%fuhMbz0 zM*oA%(zzalhSe%xbX>?57;?`q=y<{fqYvRP@}4ldXH1$D=VxQA@+xtMYWt!swhQil zQPJdl?D=&5hH^%kq7JVU|9q63mG~p>F}_utwb}l;X+*_}4cU*iFF38!_$2!>zVO6D zCDBKvg$wIC_!j5=sD94d^NtGi9?X zOaGjn{>PH%vsJ^M6)JHGoerm6RhxDz&-{>>C*ZBo%9qsm<CS7RsL-6^FA71L07lu#q_q~3o&&0;q zdylC2nFW{BuC0ETcxma)Hj}(Avqh!8_3Hbr%TKO0%W#-(`AsuF>|E-)wY(}vIbY8_ zvPfIc`FtR2=O#xB&M$In?ko!0_t-h@UX{j{H~9rOt~@E-|01mRof9nb;Fs{0?K>V1aW_Zee<&N{SdQVnr z&tzblbK7UhsXj*M)`{lI{flZ@cJ5x2!OJJ%@>W6Z25Z2pO8)GqfL4u7_Z<$r)sCB$ z%lN15+vOtHa}FC!8KoXCSk`iOjhKNI&(6&Ss()f$l^t=Mw|U8<`rV%v%s9G;>maY} z>T|b6wrt#DDa5?;TVv+Ys!wO%vF=s+(Y0Zl@Q%tWuZ}pftQ6nmerp@wV(E2q`3wpw z6HfBon?CQtw=J&e><<*RQf|pD?J8T7W^(g}XefW;g>W7Bs~>n7Q#V*}>pothA{CUa z8G9v6P>@+jYf`aiCf{;1@o9JeB-(LI+3Ya$wAy8*i$Aj_xUA-LNtNj;b&9vO%TdqV zyF)8|>D?`l*pA)c-Rd}TtNz^RC$oR5EL(B-Os;6*qOhJdk6vVC{7RHgD44C0eeu*Q zkK>h>{a&x$w(WIy-ut&f%5o;tSIv>-&F53hiL|`rpThaSUrZ*tIHdLD&i0SF?IC=s zdO2^tOMU!0IoPI6>`$DqN1@AY_bQ8J$tNsVglv4cZgrH+b)I1d>s(;Ve z?q;&m_j*z#zrnfI>V0=~_?Ag6vyKfYIez!-@#6SxB8TOF1}^Wbi&!{)=0%~t(~q9c z@#eoh@$|*mZylVw?klzEY!#gKJ8>Rw&f||4T-+~4e=3=(r8$%NOGTF6znnk~uJ;V7 z$9}S8y?Z|Gu+r|WYxyPx2!w2l`RT+p{oEPF(`!VWH*QNRln*+tRC~vb<#cf1^gA8L z+h2QY-h3=~uB!9Zv8h^*145_k&fb;#xOI!mW63yyl?9*X%{4v4xYOc&<&?@L#+~us z3NJQ_CQMo)}dgTVa1y-GP(n2yB?AbXnRm@V?t6nyLSe9+gd^XFr zuO!4nSmC;KSlFyOsn=KHJa)#;cwQd3cXc1bqJZIa1^S%R5G+;5Mi zn0Xuf#;lQJ-^8|6VxM@7ke|?N>lc+yq0-sA-e|mWQ@X#-%XZzuua(ic-*c>vH|Csb zubEWHB>T>H%eEz}`w|ZNYE`y)D!t`?w!ntvXz`+kI~)7wKS*)xVOiZb_1FW6ndf*X zgoy~vpB;5NwJ-nir<;+>b-e_NWj;6t#a~FX&@C)$@)D`k%MyE4W*Q&zUWBKL-*3*j zH3I*WpYvI)`m)c0|0EmV#u>s7oc&e=_?VWjDHQxRqs?+<;$7M0{C8Kd_kEXJ`?eLA;lG}-ecDm?rtqF)+o>H&7FRY3EOBS}vi(FXQ?hTXaW2JVp%D?4e%huP+ z9sa;(w#?h<&d;*ovgldr>-RZv`-{{~n=)I!dg7H83r_o|Jh(g8THqDGw0N}5iEW>h zW)+rNMmp|Y@;sq3_L%ug(=8#@$YNHsiAolI!=OM*jCofzqt=()W>0uhaA$x~}y^L$adp-e8 zbFC!l@Yx&Axm7g1u|Bc2v+Y^0K5Ob{w)Aj6mp=!dcGNu0<=9~T)Jlip%+4~;xpK?z za%*lCU#}j_Shz+{TYkm<)CuRZ{r$5#=0+Xr z{b;PL`d+Ga)p53jLxxIy`W?(Qd3yx4I8%FhiXD3AO#QS%*7C)wRYjX8HQFgcmFUw>Zd+)=^Z$?Yq|Kq5 zUwu*AA%A%C3-?dC*~fk@;C!jCc+th9=UhpF%6GQ;OE%<|h<$#Z?)mf>_eS9`*XC2x zl9CVG*ss46a_zz;bPV^r**JG*Lp=9D`F2_^*eS_aAvHT3Y*@PGfQKRGI}vh-u;J7)N|qQ!YEzOytJTG zZ}<D80ITkA=>{$NI1vf z8h@4iVymUErp35@=LuiY`LJ-uv14ZaPL?0{=ugXEe&gy3o}?>=yH~B%vb32yZKwC7 z6_XXGtJ!I{6qFp@_+x^Xu*maY>;c=E#dts6`6}(P&UMn;-{LkC4WH|IaUL$1G=wt7GB$>JleS+UQ2Z}Zf?E50&`f9m<#_se-+9?ak<igcm^^4riXp37%8pG`ZB%V!r<$CR@ z3QrAptEk?dRmE-#%lFJllM`Ozd1BpD_nL#R6+#ZIY@7IPj%RgxgO$-CqrU7PADL%V z-I!vzEUR+m=b*G_JTdP)zVLT`VBtNq!@%fL)9XzI(@(t!dV4NLPe<<9z7ru`={`a? zWBKd43{)mO-DMy6QrD@a{is#x(TmGZewd)7vT84PzeLrQtP-zF?_JeDn!nX|E_7J? z&Rc6;$l9|0)c4bbm#5dgiFq1kx1qJvYh$(hx9UxyYQ1y*Y;22r{O^;CP4%akW4HW% z%u}zM@cRSX&K-_xxa}2!)7N>g{ndF{ZqDh6ZgW)-Cj zt4dbR)$!})WiwYvif}ul$?!OR>E{^nmj!Z-vMN7#&05X# zL1p@65yc}3R`UZ~3rw_XOL>#j&v~UgoDsY{vGjAmimsFgi!J2DHai`4f7m4Adht-0 z%7mJnQWt@`mTHmKkCRWItNUcVWTT5wy`z%sG{GM~Z{&U1qM5w?WVOpeQ3hfD|CVZE z<~uI9rJD6(Px=Q{uLRDGx|ue_kRtW^>Fs0 z+C7J*rdNq%JXbMQR=s1D5jA;{o47~K`MJkp6HanjPHC;(w2;Gjr=F|ShPTF=CxkZ7 z?2Ej4a7Kv6^`eLn_bMO#sFY|EUWKv=H_M$_GvC+fRyo-|{Bof5*|*Yj@^X`%bHt8Z zJ-99O`PUl^viS>sUUXV_>-ynmB5fZzdFNd9{oQT5lsSKwm6Ph9hrEpYGu#z(6jOPB zCRl{Oh?C4yY?Eg{WEuR{U3$eqD_P~XZL<>oc?56pS~=Uc{Ft2dMD4Re(rs0(mE1{^Ebi$c^Pa4o9?)c><8J%5HHK&Ix{XBwA(<-ez1JVG zIUBNm`r>(D#e$&XMz>;L?uZFdE>gE-E&ZO^9Z+Own0VL#yRhDk3HA2Sd1I zeIGwsZKYD6-}+N4%+2`MqrbJX~M`8L*KCcCiYb5VSSRFa3_xWD2)S`Fx|Drz`X200> z;jBq`{1&}C88u*}xKZDNUAialGxdEvE5&JUgAbZR5_-F_5tD);@f+k#39^ER&U=bc;k zU1`SrPdC}rGupKFtu5Wtn5~=L?HgY<^S575$SYZ&XHqRJcREC_Yqoi?%G>T)_UfsE zo_u?~h(pccp7!}Y&aQrHOj~6Ra9b8$k5#|Fu4%2eoUPjm3;RA_h5Jn}b?0@Yztj~n znC0SA#Tf**iZO5*t@a)=*cmG>2 zFFmGyukKORf~C1ja`dI1z2B?%KFL$ik!9^8*Vo6F?)G}|G++GW+@;cLJM3@&xb408 z1ILAuSJ5p&H&-#Akc#!S-_XjF9AogTul7}U>zQ#BrnY#~ zM~19dFJJ5s|L$@%dBcMBe~k9+h{<-CYx=^w<7sQ6`*n`+w3gMKZKW4k1Q*Twx4X}V z*}g!tS#jzWncdwsU88t6$M(hr^;7@2h_vQu@o9$99_KXUf#d zO^4slv~~U!;l%wt*4BPn-Nh_})QE4UKC9SFj;hKB_S{=(?Z~Wg{n(yv%+D#LC zz?C@ptC512U|IeC4@)09dBtzBh;g~oe)F!*%=_xs%}-8$dH3#@Uk|fC{d>k&?~(UD z@86Eubv~2ZrTWmdeEat5pHIKMy{fZwR^7qrlmC@k z?ymLNS2H74-8|yo=|6ST?%4Z$JoLxvXOVgRjQIZtx#RBLsoOjI|Hp?1Yj*6cGT;4J zKVmyuHv7<6n>e{QC6jvUQWH@4ZW0*UkA)UY+CT)^B@f3ES?M zoAXK;oL|?^xf@%zKz@1t^YG$B;&!XQ*8MB+jW&3$aw+Bn> z77oQfd3FEKxA-mS_}lLvyk8)3`n4Yxd-u&rT>s)s+d9tUzWeUgG<7W~j^8V-z}hiO z^?lm=^y&Pc&uh?`|R5bs?j-t@hN`~tk9XFp}(C>de{J@dBZ|vFRwrIPWjYpWXeE zILqM3m;L$a6~FSzd^?ilX2-?V?NY8gEL_pNVCR1q8H@eXZXc+edGvYt`<`T@Ww*ay z{&{uzZo`L(&!wFdr=>9UOhy9yXvtV_F_2T2p-rJp@ zDO)PfRJ6`w;pLB9UG59_#p^w}t@J~sZTW%U&1zF4DxWehd~TieA;D7NNkHBE_8O0+ zxjz=om#|CiO=Q2cM`?2F)_svn3y!}H3R22R5V|#&#i6>VK=6M&Pe`oh?Um>I3Vlv* zn&uZ^vaRNMzRDIh!?mu_(_hSge(+>c-2pfKd0j?Le?88qY&z(q_;P`{hKU%Dpx~{! zs?1dZb<;k$cYEIMKfX)uXa9>y?|&W<=Qvz1|75pcu-n8b#kM;xeOez-c|B!~7DMh7 z$4l>jZP4Gq9j{vUl;_vU%(D|-Sjz1@zftvUZ1%sU`R;p{u1s^g<(DS0ups}eU}-$t zs>+Rvj1T*#cUvBrf7>M^WS_d>AA$A1H?2CaZ+ZVltx9k9ksy)KbSWO5XREX4ewwy_ zHRqgSnO$eYETj~^<>%iyoD%4{omE`WHTB!4z0=A*xcVIaHr>s5@yfQt3yb5>5p<}an4EQ?N+%xYpzwN{*ITHtM8pJd+LAlkXh)XU%W4#e81bX{ly>s zs66#cOT~Q?!%r+osk4~Kc0#}I`bw8`r>u6{_}3jS*>yjYJ#JCi+v@$N_woPQ8y3FJ zaL2p&zu%9sPmd`%Cx2y1^A}#(^BQ*9s_AbJ?7z@9|FT)lt2;BAFF37OJmK5o&565T z{#=+|Tqwi%aL&Kmq1j8sV)Q`pIVw%|s)ox4Q5AWub+B1#2jxA9& zH$3@t_k`+GAH13#mgXN7KEieW=R>_##k@_krCMuTe6H`?R2dOjUX?gkTl}mN_YRTr z2_3Ri`OSXj-YvZyAHVn3+cNR~(E330{`E0CkFUPZxj@tF`-KwWezSuDf)nS;{GaCE z|M^Vyk)N}69lD}Xqpfm#QBmtTG3`^iZ`!k_mP)cm2dO{3b3DxG!Qz)apET-^P31p& z_kaY??T>fdB+I1u-yD4)l^glj_xsDj%GNJ#( zrKNsL&K~}f{I`dh`AYE`#hDWhx|D2OvERSu?vkc6TbF5UeG;qtv2?GyYxA+y zhrXs$#Pe$wuUk1ij2O>M^xp7MO|kd=@my8b^qUOhip-l(tU zrsc0SOCmCUv{qf6xAWuE+@zq-%YC#a9!^*3<^SoiG}=a|r^Thl-pDdXdY|{(e;3^L z3QdeT7oc$M%8BHtziY0?&3>EmM*n+hle?s((!8CUJQN%iqJQl;+&4?>l?l(v`)4j5 zjkWRqk?}lBuq-OB!M}X>E>VRiT&W3XSH6&2)siz!{^YfUC4A*~7F5l+y)nS4_>0!I z*G)bzt9IYpe{1b`ea^G`r;q1WZhU8^diUIaCdAr&@p5a2J@0cJp7S#>uo*$t<_Ebt zy7;>4Wt8ORgo1WX$gWlLSHRpku{G-dq}w|t{+sXLcr{f!d%lO~&aSJr95W=DB^$-n}Ug4y@yvH#MkP*Z|&U?~KZrJ|XWopz>VshwAnv=)Osmqyj($3Gb-MrY{rDRT#P)v&Q zH5)K;4Uxhs9TeSU|}j_HZWxbNp4b>{`=N1MdNL)}3yf|qxB zo>hIUU1$~6&mim~qglRZ`U^8df-dz7<}lvek; zU%olfe(q0q|1u3lsq;_P&v|n}s<7?8lYz%My@j{C^jUWcB~DryqHCV~Em)0r!k4y{ zGh#L7cH{(#o|gT$@RWILjM}cXrjf6l^t5!9!cqmpia!4JfAi?C>h3y&w50-X-rW6d zzwhTir3>b_P6#wAe#zW9y=pSovP8G^y&H5AEAor(Th}F;l%6^Fb8C;n^sZ?M|Lvo|KfbDo=4!7sPTFA|Q+J8wEaZ|{lTx@a%;z&} zgz>z@x!Mj(QY1togi59)dtb~-w35p5x#8Y#dGC16DZ9#hbKRWIl^;k}Oq@T*-EHBP zGZSS4R&&_6<>(q_eBo6&7rL-=nLDG!gMOJy5nB@jyXG8z>YBMGv0`Juk_)D~Q?8b% zd^D+03HvgCtHoujrUQ;loBWGT>=}u|e*zTrg)Ws0Fs5gc4NnT&%G9$;iHW#$Mh}--L=(sUq!ug*Q zIYJW`wJF;=`ggow_^r$Em*1pp;;Ija^`~A^64)6dX5$~lB)eI8MbDKorz3&8wg!vv za^;oq1a1AXn&a#I91epMv!`4?{oln;;&0^{tGzboA6B?sIN2MoCXjJImNIree@#@zGB5#s8KkJE9a*HooV0bdI@a`2@awJKgIxw(Qpnk@~su<9ClE zM#ho7OF4=abiz{0bH#WJ7cJZ`X4WOZtkV;tH|aWKyn@500Di64!ToCOjYX2bqO0F; zvRirfSny7k^#a{aF>4}SwNq2&j6bi_^fOkfLaDl~}&AronH(8_w6|d5< zd;7u0L~qN?)Kw9VxBDV>riWgPbk|DSTN-x#h1SBwYY!!{ZZC9fI#t+_D=>x2?4f`dS254A>J4MvY-Z=B z@`Y93Dr}CK>A^R73(rnas@LOgR()RjU+}U24V~T7Ci?Z=Jp6L|wYrs$CY%V>%v(I&MrKis$(0`!%L^6e*yJp^ z6~vQXIcekBbpFtdYlH0a8oxccxc!QD_~`>YhI$Q7m)qL?X6x>a^3C0E{$BTp+55W| zk9>B|J-6li^WxsQoVt(fzr`k8@Z5Fp&iqTSme{A?y*2a7%6xObw`ZE}tSy_K9let4 zedgL+<;y#kW}dy-wQ_q%r8QU9WYb0_$z1|ZvW!j}oGY1~)4R4awB_c5nL$s*>WsVv z+_L(jv((Skew(;sL3T#(m8UC37_+BNRuB35IAB^?8MCEUW9#Qgt=+F{+G4v(IC)(( zKDr*fZ1d2%W!dTNwbOQ-`doWt*=pyUwq*A+n{DUh#&>@<*!c90!1EBHS(7L2^0=|} zHs2XJ-~C&Yo#&Z9ZqsJFpdjHD`)={g`OAuP%*B+lD^jcnofc3AX=YIf|Gzgju>+Aq^{xt4DkB(2t17knKZIZ*Y3!Bf0Tdan}i2C9DzTl8BNpsQ?svS zLq$+`$iJXYMzcDVpq-O`1+>*(l`Na2(3pC$^HFY0R@K(8J+==_Q+BSdvo^W1L-oKR zmXenN_jL1lPA15?f5=W?eSG<|BJsZ9$E)){s zQ|hg;V!l6jSDndS_IWo9{QD>n3NAWMn1# z(&b0tLFc$%r*B+;cj`#YuQRU%kDYX@&JUj?8GGQy+$%?ZjKzOAC4KZCy7ls%PJqtd|!uw@){|ZMpx) zv6Z$jU94;Tc>By|=H{3G|NfPK zadV4glEvF8C+95N@=ZWZ0by4AoflLp}B|Jd%stylE=mT#m(W zP9^wdyB0UaWHn1o5)c)gQ?pcQm0|DigbKHtx9_F>`}1v5O0DMQDSMwjl;oM;c{W`7 z?D?QKGA8aOT8kW9u0F|sU2ycUXK!Co(&uo8^3c!vG8P$+%x|>`{xLaScE4)D)a`l8 z&i1Y|l;bT}!C`aAV@1~&`P@dX@*R z+qP`+x?T7ZAu)#+VdyA~c|J5_XWYp65lhs6C? zCLQ&7C@5QKcG<4>lR)R;oWxm`%-z#CHyzO3sUVaZabnL@u0E!+eYrWQP3!uTvg5id z8c!X`F;Y00y(;M1svigT?XIZJ=gFR=xS{=fSZLR-o<}k#>I&+f924tV)4wU|fQk2Q zmc8>rSy}g8saSixQ^0ij#=U)R6RKMuIZx~CUHj(v){YmtqUJ&!1*c9t&!2iR+Q*#p z+G%mFwjC9B`IZ*e^=HdK^=a>xT4~Jt zv?ZkE&vg+=1F2StpsT-|goHP99c1GCvooM%$*oN z|MyatwVW&FNjewkn-?6u(9|Te?V@7r1kUe`Y%c=-U31*J@lWE3(uK#5YyH`FRHjd! z;dtMXI;KlXFBe#?6G)YQJKM&W0FW)QJWHCZ4mGelT0r^x$T`>FE|vU1^q}8D2}4a@_Dv zh&|TRajj%y&%$Goy~2^j73U;29uZ5<@z7N_3O#QeHT8I(w|tuGc45uA7v=iE1*uV{KUq3FtrZN?3MnBszu8$=y+{1&R1)44ZUg}Y;M7jNW+ z*2WckFBT#W~y!x^O?XEvaq?oQl$U#*|Qaj;`28c zALUr}+w?5YzZojC_B-@8T3xP~BYP~TB>sxpCEw5$SAzoN4BNi*#nxymIEr=IFaG)T zS^A}hm5J|8FlRgZrr+E%rCU4Ea_h(R&;NdZzV5s6LCt4}Xy39>PT#&~PuzMwt@ylO z!zjSlp8p2x+qY{w_6c58%rET!vsky9y;^U}#$`1v=Jkw!PBDEre15-Zo&KT|HL-#B z_@@<0=R~iG4Pcn0_}Em_RY?3CJ5yue`{}<9>IQA$>d))Tw2LiH+Szr#_Q8*-OtD?F z{~Ar)=zG!8TGTgm<(qd&ue!czw<>tt*JItJKQ-#E(5wk3^X3+u{uiq_eUe@Mvd9Db z^wz#DY$)1$+bcP`>R#n4^TWkU^4NR-$SqVm#$OcnIdi6_VcwZPPv_QHe0jNI;fo*n z75#gS1vkFk9seva|0la+%&|0eslP|_dV6?3`JNA0pJ}%F@q%Da_Gep8ekgtNE;Kuy zUr9Mq+lozoW3lw}m&>C+n5ZnU(0TRVC*5quTc+oJo+<6Ie0jEaw??U zay?A-18k+vT=?q6HREQ-IZ3w}ea@{v9$xMKynX$Pj{G}z?_V$fxtcln=rmcQHqH}n zN7Lqa-a1}p+#TF>P0=PgsrT7e$*0VR&8IFr@g^;Q_im{#r|#|lb!C#>zj@XF`4M9U z?B&)Dk8HNFSFtfLOyFZ+;9`(rfQ}Www(hd@4Hfu!hR#d9)Uw)Ihs>7`txu9(i#7pe=e9i_flq|-m>dPt2F1%pEtMP|NOD%_d8yu@1GR*Un$vWSCCni zt9QG^rFBs|gT5>{wYBuv+HK0e4!%<7li2=bnn`it+Bb{7Y8&n?I(zN)RV%-jQSC3j zF6v#i=vvr`^lvZOXWhMj>GEtr)}=3Aeg122UpGtiqvf*ATB1wM96L5Q*(ouHZ&g+Q zvMG)+rbOXScXdrwfg8u?B|X^%Yqp494T^5rS`m}ux#9TyDcf&N>WN>Iuf_5(T{hWx zu8-Ml-@sWBYi=p6==3<-6)QF;M!7cSf60@#%(fQka-}j8UB15b?Z`NCL-)9Wh}PFLZ_*5dQ;sGYRn4d%Is*Zo8x~ zbBcCX{+?)wP~!k)q1jvYu5X#RcmKJ2Ti3mKb35Pv|Bv(a%;x0+g8%GS8zts0iPsFY zN`7+a=aGU*yV9zT%+rqf&$qKhKgn|aM}}z}ZM%9;ibk@9dULNaK61uMG$~6nJwv5G z?k&Tfb0RIfS?5;pEm|!9KF{*{_gfOXCO;M3m2~x+=z`?zSxkR6SnSsdx$5_CuV!|n z-!H$Glb22hwLRKt=2X*DDf1z_{7dk>%9<{x>pb(AcHe3U=X5B05fvQpD&%F&Wwt*X z8FRc+DnEZ)Uu(>y*=hDb_q?$4vo%V`k5;J)P0tq4eSCcVHZ7ku(*IYp+RZr;{%U84 z@4T<78}6~nT}A8ws&8N8K5%+-^Wqs=3)7va@8Ns&=FguJ zmQ@QhXPp#@S!?y^x=LYFc<&^`#{vf!`cM3h2@-31Yf)tNE&u+W*0#(iTkOSWbbfAH z7pk#0ukXc`>~GWS%HNzhy^C$JmkWD(_SV9G6Zg%!JE!M@5?lCjg;&>H<}Q;?yI;!k zw#K&5JN4%ZhVNSSENj+9oqwEn$)cnA=4)lfJlX3R!nFtLE+ozsZQXZ&Mc4eEs%tNd z#4DZ)@w|w*>wE4HaWA@pB!si!%uCzrM&S?qsE+g z*}#y@rshR&zjHM_seJV1y{)&(Q=gwHX_1R#l0)nn{ku9_OB?>REm3mwoIk^6H)F~C zn2;@H(rGODTo#5K4~ezt7q6}`DSP^m^GK4dPuYzNd)wapRy-nIuw?elDK7-p>gRk? zte>Xak`!*NToW_t=%1#wYLN{0nKv4i)qd>G`)Bum<%x|}Jr>+;YunA1ES$jhX3e%O zL1N5|B^#H>YKw_9zvlMJiS15)8?O{ObxSU{C}Y(rme32;0?zuKy=DR)Wxh-NQcg2; z^37Xn#$}syS*G(~wd3N4aaEqR$G+w|hWDil78fZhtJ?bBz~ZI?58c0hj9p;LAdhkq6yo7xsPzi{QX z9W^S?>sX)vUjI7o?bM?Ei}s1Udpyx%+3x&4Q@z(a+QVuxr*JQ5(b>#lx7=7DY>N69 zOTljv%sU=f|6K9ou14(5Rr5cks*2vs3I1#TX68GlO}*=0ci(*JZ?B^NJQ8RmH*Ga z=8ffH+SGq>>879iHs1f#`okVkd&TBiJKS9M_u*O&28MDm1_ogU8HS|N%$$_?w4%i1 z#NwpHyllOKO7MvHrnyS~-k2laQzNp2Z+nRSeHULCzIlqOK@mrMneB|0Ly z$)<5rC*0a5v~y{ow}8Ld|Jw6!uL(;V1%@WA{QYg`d-uz~8~Y}gOm+S2>i2D<^ZNL= zZ+Tw?JyBZxxxaPJ@snqkF1AqfU92JOmBO!7QoUFHMVg@IEZ2<+f0orv3pQF@qxiz) zbN}D$T_;<1e1EDgzGYTTZae?E4}MxRpZ3?Oxoz>{;;P~FOI-3vXP17_gXd397tBc6 z;&Uit8*#Ys~-J(_h{NZPE8~GWv3t6^)XrXGbv70kT3ew71c4}o#e3& zZq9YyoG(lm*UfkDl$p@6VgAMD6C(RE_a_BD;?+3WkoeoOdv4&QPloK9)@gkE{OrkT zu?!Jj%}KKkDtRuv%5>nuXTv7ucdVjbXSymF6fRtPpKiW?&;Gp&7kBf2`F-)~)r&{Z zw#z%t))#uy#hy4}QL2S51BGBcWJsF|P-IxXtEe>K~l2@Wfw@u%++hAB3}B zd^ADqUvon}v!LRn6U!M4f8;)AJlrpAd0i`y$9U0Z$&)Jb6PgyVciZ^8AAb1w@nY-g zt+P`;C*~};@t|+N8Fpl+-&&p}8$?co_St;cJmJCPEexvK7n}QqQ{vUC_Qq+XReW?_|0wx0clt`> zSAueLb{yJwsj1+X>S^CcJ7@jydg7`kI!DCK(a+o7S9ym6Cx;5NW4gVznD=vq!#hQ} z|3T3qZ=2?iHb-r0C}U2(ImdAlaieRH44 zgY$oW?AXkA*8i3E)@_Q9)GfCBeUL7ADdgg}yW)R-XNgoY?hyH@G%<;JpOF5%s`67O zA1^A?UTC{%UFOrnoIEC}?%yhx+Fz1BwsI!lq*&YH-EpnOmaD~ogTeZV~ zvx&>cufeX@qHhIVo7?lTSpD}F*KK{N zf6{l%2r^XgPm%m^oS`6a#QLGbw64PX!Py>S*Yk2u}sfz!U>y6tr>+`tq)pyPd9S->3u(YrR-G4 z<j-+i_?atBAwcG#VAD^EvNZQ3<2o%s)%Viv#n$?|tc|FsM1(yDhJO5OASc{-$M zxpZuYmPZWpj>1nGMzQFxE;lAB%ySFa&d}Dq+b+zU1N{9R%QI@ka zB%g7`MSw{mtXDHj+o-SK|F6(ygO2(|F$DbUn zd;jYQrC3jIWeknawOKxO;YV+-8S6fpx7gnaVt4-gDWpt%%ZA3i*XHhb@8nBZ_1Q1k zY(dow2bmcb*_E^U^F9=5vdAy2U$AFZ*!Gpb%S*04s5!yHoPE|iDtq_C{e?Xl+G`fy z(D>tf-Y_RrIqLMR{?9o#_VE>)rWz|H%En*{A-?zWw+7>bw1WUv4{G9MCOq z|MbDZ)waUh-c~NZvo(OV+@yDQr^z?LbJy<5ZhviUGwt%4Z)cP47ZotX2bgsP7M^a{ zKKXaQ(uyjM*#|!>Nj{y&zWVrP#&vRvt9&;cP*oBxvYENfC6#MBXTam1%XbIPy_oC! zwCro_w@&hA}uTe@-6Q&HRKo=l^ee%76gtDrR>{){lqKg{&;w++8_{L({j zcFt4(yYz!iTf(*MWsiU4rzGCluj=FdaMN^KW$vhl4;yW^Xeq?9lTt7zY~GZW zQ#_2u_fwdVeMQvB)JEoWb6&D3jEhfVZvU+}n-b?m)+4ZWo#g>ile%<_Ya3S-p{1B1( zf%k3neVER#e(#oMVK#Bi{~4CcURf|z-%oKU-5T=t?%#S9fUec1dr_ z-MM3*)nc;)DO+~mpYvnh@9N5vKc9W|zWntcQomg<-r6DVLyMg#GXukBHU2A!z4SD2vqz#?$=?OD*^?WRn}5qd;NQIX!dG@%Rx_-vS@KF{+P)Q+ zPBG;F3|e^d2pdo5+?#y4pqE9u?CKQeL76QWb+wySfV zEADRlG+RL1R4TZVJx%o5=iT#{^X1Jmypyo^6=V4Vo0Ma3mNfXhRng$xACy1s(xDHx zj~-R%3R~L8@NUUGpM}4A8P5JIpD{J2ddHgmNs@JoWuC;$w{kh6roT!4&Z!nfCixDI z{*fsL1+amM*@W(zB}B_>9lNj+xt&P?&D&62Ly`WfdQ>pXC_Q(^3%x^nN4$pLfC zD<8&NF&Z3tenU^kYo~jT(cX6N8v8{X8?HZ;Uia#;{hN$pm#yu>A$=P!-hO2rxh2?< zKV|}Jj0)$%$!V*XJ+w8>HrniOB;2?^HBKNWYm=1hyfwib);cY^yYzy!U7s3dE?lUb zyG+xI{jgcPOz`XpD~yHs%)Vw{=)9Eea7lhgEoYAY(gP>@Ht0?|D*CC}e$GNGgR9py zREqh$IeHaiZZBHmw|mM4BMY{sXNOXQ#IEkhaP+#S^3C)c|D2PmccSEqua&p@T=iOd zz@BgF#;mm_=cC^8OTCg$&j}Rl`?mE^fww9p7A!ZXSTEMw`as9^WpXOVkH;!6+irin zf9TZIs$&NpFH8kiSJnYul=m#O0N44{SpH9&ywi1k9E5pv^?ed zq`9&hWnrA#m_;vn&(`jpe$h~(`l@U2>k|vk^UD2ib*!5pc6qyV47C19tbH75m+(X)3!)Pi5W}qpTw( zZ_f7Jx#|AC!1PM3->AgTu^(wJyX1_PF<>j6Z zf&Z%0%l>Yfpe;XXX8OH(l40l$Q~xr#(lO_U`f!DE@{5UI;Va0TIY4~ zp7`z8F6c8u@yjD6h6$qL8y-9nJLuvy^=Z?@WR~Ki-Lc1%e<+1+oq8?#oXF`N{R|eb9H^ zmd13xTL!I8dD{}U$!y4$X}EYr<7M~l^Yxh-9Y<&X=9tlT$3gL_^7#cP>B1Qt zFU)kci!DA`xn1b=SaN2;=c0d{2dpN#gzj7TVZN)~^IH~M)M}5Ks5kWVzUkn;`=Hn7 z$MoZDr9p3hKlo`^Vqw;Os_5p|cUK+?-d(bEwn>Tb{JbJB^N%mo{JJ3K=$eDl zJ2RCtZ+q-96I#!^{==M1uUqHtU(Z#%v-;^Cv&h1X{o75?Z&;_c=HI=Vl#K1gI!3qb z9JzO$oL}Ibdh(&$Mo#alU5_&B<}W{Rt36{$Y}m?Ayn59S-)Fz!{dRlq+(+H-+^ZPm z6GZRd^$0!mV$!vDS9^cWnysw9<$>8tuB%;NTy19i7hEV6xz*xpdVA^@hPDl`j zKkBqZY~HNhYi1lZzW;{D#r{ssoS&BZUFZ7Nt66V69oxwHM&Z@LM?cr7TJuMqPZF%( zdrmaA$@@w>J>EDa2LoTT%O|E)RvLN7t!U!G0FHv3M)lhzYwW$y`nCBIFt;`b$~ z?TNKJ4T|{LrBmlU-KZ})%RBAwx7@1QNz)wueigx|9oo69DTi6N7wJ#?r|*Q zd+y;Ig;(?CmKpOz9d6)x*UH5cf79rz;f8%pe_X1?-IiGGl-)1Q_VMeoi92pqy!n-J zE7{Y^op}m>SY2>wzbe1G=+a$ITf+GBS6}XkEv-N1@gQS^y3Z>|!G&pNz1Cg7%Q6mI zwMj&me5jvO=;HEcN{R8RX?5E-tv{%bC}%w4tsNYdoAzqV17e7>|b@Q3QprAk*ARX_FxKmYpl=JfkArcslR-fdX2 z_)u`>ndVa~b>u`g*PY!nQ``G@{hPO{bNwPST&#nC)pYHet8!6_(fR1BPaaXG!imfG zKC5l?u-YH8RAXs0+jQBCBUkNLX8r$j?zJtGy4XZd{^vJKd_?Blc%*UNU?2Mv?}s%m z_g&;YmrFc2d#vx!*6a_*(rP|kSa7lG^WOZQ_wox>x{u~;J8P@w{{Bf3F4kxr3|SreXf6ODnHC6a}3P<-1~d`+Q6y6JO~$*>#m1Vn?MWGw_yVJ>4kc9KL$Z z4sD}Jvp;@U<7wG=l!-ZXTe?za?7gq9J64KsH!t{I;t+oF=*o?v+-~yjmDlG_y>G=E z)9ZisocpmUZ!A5}85&wX)0A`mC3U+YT-5(&N6}Me2DO7xQ>*XB@h*E%qvd%$WoLqZ zLr2m}qqHlfk6wtMdhyu3f<=15k@QJ1^JZ&xs2r+wwbA1?H>_-Fk~|>Xt7)see1zzn%MO;c>-3eD6-S*2f?E z=9T`>c%H&<-j7$8?Uder@pf~|WdAQRem~tm-`HT)rhDY**=Et)fHDNb}qQ*5ER;* z8JXvqH5*n7-{isl}y*f zo#83Ix4qk~3_BZTRRnAuj>Y;^*eH8`)%z0Nd`a-??$ejF3{!W^f0ViUT(fDyrfuPO zJr@fe>DiiIJ|XH2WATgD!oNZVCu-MEkC?+a@p4(KR_x0IFJ5*RvM$ptHksCtUik9S z%jw*;BB=|q67S56)4cv--}b#?;fG8;WP2~m^_7H7_gq;#E7x=0Z9ijszi-9IYSV1a zTCO`YUw-BUn)W5=F35V}@1L%T5z<%pPW)-tbE6@l zb3(+198-f6Leo-h(prDK_fa%H;V^&gEG?^ z|9>xk|L@1I_y51$UcayU?~jM+@9+KnnSX!J{~w)6!wO&euij(w+UBCS@kQ^?msiEjO5|Gd zXXdNMLT%C&t5AK!+P;9V=1-k z8;qsO-41_|oY!zneL-Rqk8sKyg~Ke8Y9}ll+c=Hh;PGyf@w zIQk_L%>DBxHB`SbbT5nD+E=O@X2f(a-)4H}T0!*VT*I$o!TDgq62#j0JnG#}vB}vV zk8H1b6zwzrsPO$yo%x22V!|nwAmZbdZF#bn{%e)vSgu=vR~Sfmpv9U1=Woom4E~%OBPyz1W)!@%moQPvHte5{LN&| zf={x)zgT}eX=VSjulASh?-bSfHOKA#_SJ3*^WT>|zwY?Hh+gs4AB#-m)*S1;TCr0~ zKkV_*tUWOx!6ehTbs)iwQu^T_!HC}Jt3M`zRGz+Cu@R*5Y1SSz?fGGk&t~n3?KNNh zG0pVex?{7iR&18a4+jZG_HG9Yt~quaEEx9qZPuPhkjgUCduu={cT0h^>wQm~UcLMD z-pJMFyYI}7eRo#RoImta@z=NYXP#^QGjx7GquuV~Dd+hWw&6dGSDtg`mCQO3;oK%= zbY;TAwjR@z6^h708{2q5LdhUi0nW!zRb`(D0BO87VIh*L7EOU=4s)2cOj1a-W%YslTqgbmpD8iCwdL!Y=lOQ+>YbI;_fP zoVR+9;pFZ~Mpw5pXzpj_Seufe8vHD3ZZ^n^J~OjR*Il$;c4n*5^;a>A+s+tVZ`)~h z&NS*IPjT)I^WNWTUZ;2_XU~Xv{AAJQGmyNdr*$SEF%2TbGdC5K{q(#}1q4BaK>o~7 z{j9IO^6J^E%=VXl7QJ#$QsXl&R5>z#b%sNmla0x&g%^8z(=tq)7fVW?y^zu7W^6WV z;YFU_G_m4b%j+u)oLeP9RvhCp4wAra8 z(JRq!u21`I%5_dB?Q+uoZFkmREN|Oq{AKRO_dK=fW}7puXKPq&p6Pr0rpw})Yx9?F z`gt~Fg~8^pXG6^P&*Yk$Y9^dw?6^(1h0Az0=cbtow>g~_&pgX=(`Uk4mW2<_q&4NJ zohWO%P@ZP&XeOLu?YP2z^Gt==oSWtVa^++x~~Rc6MFXG zR-`)XN@w2;INcUyc5TzbX}nu=)_{bvZbpEFu58)}5?Ya(tSb%I zxHDq4c=p$#wU;hEdsg}QS>@wzmCcvTrfl1|g?DMLMs9MZwAbx`TgN~`3%B%wgq$;_ zy>AEHdX|=6zj^ciyEiXCY~wR8+p+NQ*|S#rW1mmiw)5uP`)|&9dq+pzx^-#Vv~6=_ zqt5f`Zq1Qjb=59n_0smY&RcJ>XKxi*U%Mjgcf#6f%eI=V-I}TEo1GbzeK~5@wM$#B zfrM&bsN8M$yL3KO#YZ#l_l4>r`6~aqb+3+n+0c7$vh-ec`|!%-YnEGcR;Fg_MrYj& zI&C&9;c|UuW zJ~eM`iTBdzb2@9&r%mJA9w>itL%+t-+{Jc_3gsO^&cAf&+O%z3w&?Ee*>!qByRL1{ z%fxK{=&Bo+4o{QY_HDybB%z|R3|s3hBI}n{=pN11jr0B()pb2+&$UNeMb_&IFYyzY zb*-o^-S+V2kkwCl&R4aizYIDpIqxga`Jj2zK5dz@e5;M_(@e{Uo9BIqymg81yyoL# zuCEy@-Mww2USACAFT26rQ_cA60$+7wp}xcNNUO7a{)Uf(c~sLh4YNBVz0L$BT@%_o zWk#$`r_MZ=Y5qzjvzA`gnVa_3#2chouZ-*TTqe~tapNRQFpbteF|Af98^=jQ1#Z2tUh_kds^J4ZW~}>q=Cq~D5X`MQ zYg03Iv$G?kPG5?ec5TzPX-lyRrDtB-Y~t-3nRO~C_!`LSr68-|b^k!k@JzJCW zzjt=o7ifa)s(zu#X8T2?`MK8iqcMw*yji$h;>(3#o_VY9hz0liZEpW(w7z{_(ubI* z+h%lz%(4A)y%dDchvs!xo?5xY_RE!(a#gRc6o=kk#Q*l>7Td2^RzBC-R{CjW@KRmf z+)V$o8822!@`99m)*7w!uX|qlY9*L!>9_S(aJ~MG;ClTZAj3bIthJr_Nj>;q$*JHy z(;jUVTVLzEr!Fon>C%#GYFkZKF7;gNo0S=KT5|2zo@+sKr@h(|wtT6T?$yk-e%_@~ zt1d@@ghG~Y1qp$w+0PH2epUeK$etWE>k6tN-jkzdU%9konsCf(&UH(zbk%oU6OQo? zkJ@$V*3@b1wv;U0s;wKF`O+&JBy?%&HIUF!?X@7G)12$RvRn`9n^v@C+Tx`$x=%B7 z-MuZNPF;-Z<9qrdpsx=^@I8GIfs4CG(cNBu^`f?4#cS-_e-*E=KMo?=g?*0;`?l{Z zzV~77|F~rr=a~0Ad!8D`I``>?$UYFkH}`3Q*2@a5mlwSF);_u5)dwQ@);@80eysCc z@A=R<((RLqEH0MZo00Kr@zwvozjw|5FRteJMe>2m{al;ypQjW23Y1>C%>U$TQvZ7A zFSF0J>zaP@i9Row^{QajtBP5#E>!R>U&*(8W#96Ze5@~~{B`(WZ~tL&=st^;4(-CB z%g-FMlFoFgk2pG?k$=9heVyN*3!VQqoSJRysOkBf*Ynrn(Eq1qY^)Lb`@{2#v#-^h zbs#ivoz<3Q!DZg1+g*IEQn!bcdw*HvtZ(%VM0{D4tZ#+EJ)FL;fBsK9k%i8JR$?GR zWMQ(PmB>QlH<@ko*?7)AzfjW$BKXcezfr??_W1|N7mw2y@P|GRDD49g=Pqrp*qov^ zZ*^D9tn&+h%FH^y5ky3;dGge2*(;e<=N7(_Sq&o2U6(m`UFQ6C8L+b1AhmYKYwlI` z{j|ULR~XSBd*S11ufI!fRsaJ7LoNdYg9t`{3~7#F31^R=59Zk2<*T7#7j!*zPHwom z+3UtcAmlxL1*$NO_Ep97YczwfP^;j^pxl#SFT-{Y%JOzKxrpDKA~zkJZ7 zqpn>`G$!q`2$hz8v1*0VT5Iv^U*rEht-t%{^ht02|KIBWUFB{PY320#_f=%^gFVjm zzh}$mEq<)&ptZP`=1`; z&;R#3zn=TU?mb&7epGbqWqBB1QMK#5++CH|w{L%}+GF=nzOK?qu`Q)LZ(oh~h5UnO zr@QNWy8p264|Mt`y!h_t$7iSSU;Jfz`y2cEd3z1^{`};=!}<4m!=KCfpFh5QI%CRS z#{bgxUzzT6U*}i;wD~?qkbmQJnGf4f)X!7DcXm4Op%aU~es1|A{O<05!S{Ll{s_17 zFFOA(_S41h8hm9p)la9J$A6eT@0_|w@|w7$Cre+iSNGOu{P~~z746T?pJ-mFuQPGd!xDahSrST965MRr)Ff^;@h_b3)yv9X zmt6f(fXNo%3mK3Kezwk}JO3UH-+*I}zuPs4;zow zO9rmk^Z3~Dq;kKMyqQeO4$gfui;wPIB)W3jfq>aJZu%9*-@dCvJY8qU_kpSLB+-!&5g(Jeu9D;*g}#qOW1cRoi%V`4mUK zyIkkyyR)#)VB*|kY~G^c@qFjjme~@&EuFk8zH2U>aD02ym*;}cf~!LKj&Cw!gZ|@A-l5>&J^9<*z<@_~VYL9J4vO8vl3k1isMx^~~whoDG|uCipEbXjWnl z@cVpb@xm;xwI?*Y9$n>ZT`0dmMR1PrWdBM(j|=M_{HyHaWeyM|PLX#a7l&vItPYz9ux6eho8bi`6S`%1tPbvbW###rT9r-QB&SW~+bno8->)6grJ9KLa4S4d0!X00Q4mzr9-Xqs2fdi~>&UT5G!kKJ-N7QAGb;xg~S zm7qy(j2a93_PGC&GOC@I#<6tce#_+uTp*S#@JULT%UI|A#t!wWe_Y5t+?!NGR~&$B3!_MX!JV-mv%2S)NZyZ@y@~ zW$zcB5cIi6Z%yTS`_^-XB~GRuGJDKDxf?w6I76=39r<@!@$B2f?~nUdrfSCAPFI@u z!z7tbjg zePq(n?7x$=D*fujqun#VFE?zn)7UrRZf;rrk5$dRmfwDN|C)Dt`u&er_xyW3A=CJE zMEAU;uMKL=&+izR8ArTn2sF_!+OYDs_=Jb6Oy0{0tb4LaQ}Dd#c{uuZMziS9~+(Vu|tA0di?|Dn?X~) ztT@2F*01V7y65VQ$yGN5-amdZWBD4Mqh7B&9?rgOSY;?^x@{Np{}(bGYfqdBb6Vfv z_SM8d=w0?vnHQ}|Weq`VXR@t%=JuU+X=|RnUDZa5qcNq&v`*Zqv7Bpu@Mr)>ZJn^J zRn`5)7T4w8dA<(C2p=+MDKFL0O`kk%Amdgg6Z1cYEymE3;WyxW-jN41HvvXwJ zP9!~4yZ_iHn@yl2;)Y7ix_JTz`eyO(YRK)n-z9bG@kRe&o)AGFL6M|{8=6~YRv$g& z#iq0%K;zhHJDr6B>df6c_M~;+n38^WXP;=o^Y(kQ-+M;9S4-B_4!=Gn)jY$n;^vdN z?2Wt|RG)3l&5aNeI%u^&;eV(~fcC6gXWw$we5o`Ib(s7tNnoz$?~ol~6*6wAku{3O zIa_NNn+Tn3Q#`c2X>Ding zie5rimQ$B*&hqQN=6hREZPx{0PxLx+WlvgrZp##>RXjoy<<81VGkv?}IAz^p z+t2rOzQoP3`tiWZWs%39D;XMIrz1A9{?xLOaM|+PoQ>ITf@bqCao+tdWdd2ItYH}! z)~2j7)7%6cKFW_!ir!Av2*%!dFYuF0tp!;)72nop)he zAT!;manr=tayGk~)|no+tyb>%_r<8sK0k^jWH#ff)bL5wA3VZ(ZRUEep16GTIjNL& zi(3SO(&9EH9^IJ8ccb9=rbNB;!!hUDelkSst?NxJKCr>MFOmDyhCN1qPak|!9|Ms;*2p7OnN<$dOD5=a?cbUR4~yq@Cgs+(tX%1UbpA*@A$%H zW=}6OTdDdp^t#N-g7FVU)bWDA={o-h1n+ zNZ0oqLY*nzn)mJT;Ioqon|f{gwXR1B=e`(ie87=o$F+UwDV5URQ#o3?nlpSEuTR&xzC1kY zW{~F3Mvd6uK<};h*0>z0Ig+FODLlU1aQ4Ymfg>F1Ict*BM3i$@b2)`9Vsd=D*T*>` zJcNluslD>+0ow|bo=fbPmHGr-TIG6TH1gP-3M-}l$k}Z2f6u=pEsdiDjNAmL;oc+Pyob<;0?u?)lMwMYhh0+WB`i(+*po{vMX_q9Ewy8$Ubg zdr@^($Gcx0y^|y-F+usS~tzwcSNVt0Td^A&BYu-={Sn`Ts-9ysdm zxZ!hEMD-1~-_c?`Mn@#AYZJA;{CKvVZ`v$}Ltk312+TVFZ2Ph9u(~WRrrjyw^Kb3w zShP`$|4>tJrh&rtv=0+o&29&5(vLRd*qgth=Dqk@UEP+SZT10Mi>LOTc3JmLSiIdr z^}K&MlVOON-QoHqCMH%>|My!W<}aG-TXX!BW70>SndcLw>Uj?F1S!Q|?g^cK<@#=q zn+?mESx$3TKfXQp#r5R!xnEZof7YG8za!u3(@vFr4_oZJnlq%-+-=kn*fdUv>MXZJpPT8SveeSJrwjjnn)y=3;;7lTHQvjTwKDsj&WV2Rz4t@%hOMQackbDi zw@xB&ndPeq$)DA}U6yi-&-J})s}Q|1tddu$MrG}`+0uG_$=ok3ZhTf^)R}%FVy9j0 z!n?K)7*g-dNWBvj*JN%!!#p`u{rHv{2a0ySNw?xv`(lym{o2K}l=u8i#TfIjDg8e$ zSpLZ1()#=C%+9n8|5l!1KfFrLjpzG|7pxtn3!`M3TnZPeL~K%NxO&BV8VmPlm+0p# zEA*YCcStx^_uyS-Edh?8)h~^cJ$lMNFS+ zy~5Ynt@+^M^^LY-J{k+n`J*-mC-=0h+3hLV&1vyo{7mKk84PcuH+-Mp>Ud(qUM)jr zDRaf5$uqg9*nNpQxht?+GuZdoq^k?g>|E-!k@1p9+*NfQ-*g{GN$=nQwmIVLcbnaX zKX5!t7yInTwRD%ZhqU9Bw54&yqKCNy4Ch>TyVLBxDdk$y!yQUbyC&5td$dkkSG-QP zp3y7+^PSJO6)H<#Z(4t=A$!#(3CF5HzJk_W+yN_Qr}Ml&sI18zmUnr}bv4q@wJ z$`k7nWfFMypO^m4q$6-{a_fhSrcYPLEXi80H2aW2{*RSw=C|ozvC&P;u1VbWLb?61 z{5sW-rcFO?^LOkJ+tTQApzWWgw&1mi;xnE~)s*G42jYm=|{}$TWAu@k&Wi z_wDoN+~p9;a=5L@<|L<;q%AQ2(XsY5YqZMks>3Q+Ub^rzt@FsZy2azgc8x#(K3J$u zoO5^9AJ#e7f1I#SSzhvU@q3BWEq?|7?XAhbvsi2O>>v8P(_~{bq?7hnac`d#tmE5X z&8Vd7bf)2s&W{_q3mlq6N*(%CJtStGWaQcNo&Vg95f8y)U^XfgvD?iKrKYoAx$@y+J zsry@RvwsO%_|_#@#CpktfU}o5j20!$FLJA~vg0}W%xUrMExWy35??Vcl>cFUuzfE3 z7rCh-t0hvbmz&ft-hS3-om}{ji`zIi=e@~lDtYvOg1|=Y?aqR_#*%zy3M!4?8XRtR z`O2&fY238!=2_2*aGmfTmfX&#u}WMw@@`lkKev(Vqh z=H?L-wKLCOvbHO1b8p!cv+6~|Hon5J<=SC|Ir55Z%F2$iY;q2Kjvq?5rkv%^@H#EY zAs^UYdD8Mso3dl;q+WfA!(us~ZPhMtS5@s?aMQwjtZyqktf%UE_ONvtrThv2v~FSs`^riAk)j&=Qlez zG|y&x>?r1Qlc_Yd%U0kln`V=>*`HeWAeQo&AHUaSc0IVY)79h8pO_O0{~iadIU90r z-^!-iYsH5}a`oyeKA6?XSJ+RJjgvm9AGYlHvJCe6-z6WK zH9Gy+Bbw^?4T?18?|pDcAz8Pc<=F10pV;LuZcaWoSGG+t zYv!fH>n5t)TK+z+$G6RWw|mziWI1+)3{>0e8Vw$HkJWq*);{NWdKGgnMu_G>hr8?V&3u{btqLgu#1nHm}l zmPLE6`3R&hJ(#&#`V61!Vgt{|YlQi(#jZX#W&QL|=hh$jXgz60Rg?dev&Vm}-VptF zzQ&rjoFW1{Ebi}U|8b~&X4`tpXboG38WHUqA&(A=KK~$fOYmi7h|blht}7QJGg27W zao)ZZ(UZUSv#qUk_ruAvf^J>$UA)n?Iqv+sHOD{9JXo-JrvA@v_IJ7c2ko}AUEfmt z;_+&$Z&~)&^fzv|zRdXHk;a9K)vl{~Z%w+#zt&;GheI`8iz>E$oS~gJ$?f*_#p3%H zmGnw(6J`zPF!iaeS^9l}8XJGp(GTi#izh5#yM2WDzbLD`<=Rs_ZTfB~_e6Q$+&t~W za;JsI4o|n!k8RMpd{MVG>OQFY$T(y->C|oebDI0^n+R`D6y#W>DJ&&-I@^)2;9j0h z{^P=lmIe1XlY1Ju_fFrHrh4^?!B6%Nul-Y!E?nzoExVL(@S1s|{lpU?+y#&A^75Cw zme&1p@|YNJ_{n1pd0Do*StK~V^UT<)nSCwoz#8Ak&1TXP?Vp@Jt+)Q;{%GH^jJa|r zu57t`xMRKk@%W{6DYnk(%?T@#|1kWYz3jt^)Zca6a$58hbk{beUGAH{Z0bRlv)P>Q z7+L42ir>(U>#@9^om|i?-8?7NDN#X#u``yT+caHw+TlK#i%#3>A~Ww+8w*Tf(4Jlt z7Pb7(D(_3blIA1^^+)Dk*PkC&WVh0d!Bp3n|1^Ut+5a?(LH;8U)SncI?}tVFWF@^H3W8DT(bQh zx3WQ<53|wbp2W>NSw*H!n{jaKgVWV@oafGNY7KAG44AV_^rNh%pDmk6<2jM#x-83F zHDeZLf4G>M@1{7Zp|E6E@xde2A5P3tN!{uur0IQ*apJz%T^<_>e`;8HScEJu3R%t- zGCQnC{D;imAI>Kq7Ax_(J`h*4G&{-oxAmLjO`*ec!`}z~nYAQm*E>0fcW;WqR6bVR zd8N2(;a4y5mP!R({m4E?<~j4373Xhs$}?RZ9`1DJP`}bl3C9!C{w8na;tsU5&fyFz zE?(^sYLs!+veCv+RFJ7Q=~bP$z|n&ndc579#pGqbIv=3hTP$y6bm?eg^CrbLdHbLXU7 zOYJqAlu{!kA*Nc!u03^~=jBOGZ@ZhU{1n>5XWgA~N9xCZ@s~QP!8|$F1WsD-spGm6 z%h7f?=yp|sj>mC^+*tM7S}PosWRKKLX>Kj=Si^7JFf&%QbS0aQa$dv!`HLF--tK3w zuoQ^z<-XIh##(El$U3V@k6*OsPu#D2T>EJ@lomFBzGzOjiG_sJ${8> zWFJaf{d=$JwPyjJX~)eoa~GKlcwStQU~FibwwIaf^=c01PdnGn{N z!QWLe)r&qU^Lp3)@MQhYz`A(1@3PN5uBo&4@42k`>2Q&6q~p!A$Ggr5ObV|Hj^9xt zt(D4lMoNZHe0%pMUddpdzKQSCE~iW}6wQA9QIqp!^hQ0E6nUS^i)yCXe5s$HyXe3LTr?NmGDgm3yE;l5pGKkpL%pKKnV zN6dYPq?NX4Gw#q6>)v~tT=Fn6|(SY9<%f7cAo zb5BDRpDuAQ4!HiJdy0?jL9P}VmHju4o_unV#b(xq{;G%EN~>?=S{T2dWSn+^>7LG$ zJ&`lo@+JOiUtgrPTy28$w}wYWYpnWa>IvG+=~>5e4hc@0PkML2k-VTKGo4N59||pgs}&jIUdyYpr8Uws|McUUh8K)anPRziE&?~=GY;8p zI-|hs`lhA3jg@z9gXd1ey;F;ltF)gU`!a3X(G<`d2@;Q-F2lCmW5sR zU*hj1R=VTA043;Znm%<>0bUC$1>WU7l+!q< zU*Fp55b=gR+oZK?+1oW@)ec|iyy zsF0{)p&D6o&QnUZ^nzl(c3Epi*5f#pEj- zQnDw91WmM^#*@ypj)jwZSpehe$K0We;-?pA=N`0C*Dl$-eZrKczg(T`3>!;>YECoQ zU+z|yTQXF5SxITK4?)U!BPO(GoPv_c;8#}li7L~iS zneDH`ZR5@H+sd@3dKdEU36`3BZIQ71hneYbT#u`KYWg3s-0qj9oW|jlyBzC{zU|)j zDnF;|%DS@#;kselUxjz@t+Z`>_$YM4N5%U6?l<4QT;0|Y;_+gG=CO$xD>sHeSU$Dx z!u>C7D^u>ae%_hEoU?k-=dh?xX$?<)e4FZ zKcvYU-|_y$^<**cm%poY=D(a`5c_TC$C;js?yTCe=}h#CLv!UWSk3qRvOGrW-Mc5h zZgl;)diRpT(Pw#+6#jP2*9keEu*+b7=cUy>2e-9)X{>xu$1Tpf`9-(&x1GHE4emsn z?dARdDAHbW^Q82yO>>U@v|T26G4p$@%Pdv@d)*2Dk6fua8(U+pp1fn~W!Hqwrr#r1 z`d_%0VqAHB(j*7I-|evn&g5-NbYNGvx_uxtHS+4eHE(v8vA4?wgdW%axwldM@`CSkci(1@`_nYTb=^JpH|mG(h6i7*33Xq~CS@|gNA%y3A6bgW(ziMI_kn&zIkVjtpj&UvX3$Q&INax-OYGT+)-Y` zlESVZtdrIwv0wt5^f9)a6Vg$Om0yWu9N;~?aoyI|87Da_*S|JlIx5Rw@I=|!^6teo z{ul2rwqKQWeDCQpS;MJm$yX#Q&X{poH!y9eQE|I67-I(4!~&Azzr zfP3mEM^>RH&R|YjSZca~De&o*? zD=EE|!@**UMMK_J!}Dy@^;Zh4oW(4?=>3g78oPc?7ic%wE(AWQx>^HtFC{bkX$~#cz@!BEeS(C!_s{w7V0*{&-FW>mRjVaQ) z_~Wd};=f(%Eq|oX?!PKnnJBsRU%9?#mtKUBEz4_t-?wJk%c|}l<@mW!Bgtkv-_cOU zH$Aho*7Puy9zMw0v427I*L1OZ_oxL2a+;HTsxMBsy)*XCmANg33b$5wdpeXxoM5OG zWQnRzs};R@1y|QH|^GO6g6klqwcfxYPSX`m2h0 z$-i9QS69-wC(A0;8hE*O96P;Wom}mLS#8yy*ovMo*lGQ8vEIMeVa2HukGhGC{UA!3 zA!epDKjVsC&zYf)RZT+Ac2<_p&s)>a7mS?tQU zgDgp0YO~JWRK4_>)mQLY5tIB)o(I>OX6Y(@TXT&4#o0BFPudGzj4Ak|v1^-;_2hL; zEDl{#Ch1#q-t0JZY=&&Q>c!B{rXA}_r!vCxv7UwIWzqk0`G4^Y!A3N_rKD*`)Sb$ z`}}=-+GcDxU*9(+bGH2^U&;6F{iZ)JbFjRszZ+%_+X8O|wALMs0UR!%ot7W3ivnRXN3Pd4`ek|KT)o4$eBUIgZ_7VF z`yI?__4D?M!ny9B--q?CNt)#To9E3`j*zbDeQDJz7HG7wd^%tvlyqv_($gE|Y7I7U zzC5z!!HL4&pf^n%4qd!uxtF{mNt6k3Wp* z8)wd$&U5(qwmkMVc_Ni!-m9-h)?U1NM);wiIq$q!{#_2)cTzjDE~-xYxqMC7p5)rB zPrje-J9XaU|MzXfKjq)jAu3Xb>Jt7{NwOdCn6c_~BEzbsjq9e0CTm>Wk@ox7NA^?c zGu*RoDf|`ZlIvpnYEw1Om%a7z%6**Ey=;~mh6T-?>(e0nQ~9IAv^O(71a36C8VK!~ zbLmB_9S4`)qUH>>oG*EtOusE>zCWn^W8<6aFBaD=`Z7uH)zhAX28S2bsIAZ~zgoL& zUYJ@fbHQuXjf-zge_u2;T(>wm&i!n@=d8m`30Ey29J-Sjed~hf=|{P@cbZk?G}_&K zZqITfDl^4A<%P>kiJeg;W>YTz;mCEKFQ&`?Rfb`k!+gD;o6YsVeXO4J|KI%TZ#REE z{Qkehk=LQ;&waa2(-)iSmM-dk^F3~g_xrn-Gcd0ezJJ5E$Kh4foc>TFGnbS?=lwzIR<2)D&ON=d>Ral$ zI*HKVM$2ayUah&|_t!`^r|5I}34sf`2k*I^x#nTn@rJ44ePD-Pvx~y&J5PM{-kTl! zH(#ShVDAR8dNJ|OYux)K7#7aC^x#()@AdU-o(XPkRh#nvCT%|y=g@Y(>B4^DH*J#Kg85sbc1k=5iH^L) z@cqb{x2s~FONjVpZ)oq32t99Y@If>DYW0TS^@)vWxT`5|A;D+_*jefR= z_9V-b!P3;b9Ubjg>zP$ML5o0I&XX2oq|wD-io*fCtIH1z0WPa z>^^6Z^8WuGhBozfQ*A^3#oe_3di-O{qa{BogQf(}_U=xS(wX2b=q@6pDzH@RzxTD3 zcdotL!1_rsVFPzcq~i*U)jJjb94We>-X~iiKSx3M72}iTCv7XfoOa^5@3g~0>W;Li zqu3k`oRvSes0}t?0=0UF*#R;rXAYzkGG8gmcrI>j}Hs)N=Q)nS1Eg*(cZh z0@y#EzE#VXef?mlUqJb%(0Zs|J>Jbte-2dt*I3@+-B$TS|Bk|yoK2^s&Z%8` zHC0<^KktIi=dA5}S#Ha`f3YCNYfVlO_st6{7fpN@XZ6%1J}p*OHSwG9!4Ank=Re=H zz8NtyO3QxQ=l0GBTd(8%r^R-1N%={hGJSia*x%^Db;ip*inHR*KREBDm2fmFW&+1G z^$bbDbuABBThr}R!fwB@y;hmoRQ!otUh9kW1xgf>4?0wfve= z(f!SuUHwlkEESmREI&W~$IIhV>-Ie3Sh>ok!;bAMB-I&zhFo5d8~O8VAX~jC*L9yYKg&+;JGnOLTcP!=u){am-Y6fKemS}* z?2!A@FVp7iV@TiCwC=!vIh#fKF&pz`n$6ekFqiTXoN9H(o!|P4Tqsrn}oU^S6ky`X| zM!gB^e$zzxvj_4E`=7nNr~Z_Ud4+Rp(d4g-dVi-fCotGAE2{Hhw6|Ea`v%*(ZAV3C zK3SQuFZ%YA!wpGn<|Wd%4@vWWd9?A^pE+`iX0T`!fAexKZT!BE?}C}_@fEYys%4m( z8GcjS%r&{~=9eC^lDYjesqgO}J#Emcv!C}z7;KjYN&q`g(_pG-AYF+^VG)S0QW;~qoH(d0L5 zYy1sw{kGTAD(qsi|GK?yr_t+=mx^l@SW{Q6o!@X+&naltl*E^(pIpdxyyEsMNSNlvTnG&$L`5h`>eRrEPGrFg*e$h3sk)M zsoKb6bzEeL7Q?bVng1dWuz!BUuWh%%>e$3b>wF%H*EII)Y5r+S5}DfR=-^qcbRu*2 zj#yt8&DwLfRCn&YT(@!lq6f$8JNGnpI{KV^vYBh6=7p6^X%CNCD(w_-VLNtgUC8VS zjE1aRwS~I$HW}WzOanOh2I|roIKbbdOxbXD)i^Y07G88hDIUe&Q*fQQ$R-e35 z=5=QGti{LwsC3+8o#h@QTjzPfeJac7V*_4<28pvv%62eqB-d=#%zoPdRu$ z*vL9wQCNSR$MxM4k&Rl0rM?pnZLnC>;du8IgW#f^Ia)OiS8Gf^d8O9=*)9KS>hX9b zZPV-La+qxjIu=)imt~38cHS%vzB=>7!v}M>T@+MWc&Fkp*P$y_SA&YV)Gi9zviUsJ zS?a`Uv-sliDi{FLLJBy2X3MQ}9<2jk3 z5|lLUmX`nRtwoI$1-tkJEbU914=M2o?%bt4A?2dUt-a<6Pa1Nxxc0AqmJrBdv~p3% z4XdT+itBt1xG!~{Iy=K*gJi%n&DCd&KO8gseN3|A@r>%nG5_2q6rb{CtqG|*5q!;g z-no_SbGY??%y_8x_2B2|+ow;dCP}wuzR3+<_}gOZJ-H<3b;}x@H&}mC>uF?d;&|7( zGvHpcyX~a-l(_xxKFE6pM)h2qdEudakILE$U;Vls8ucvx?7L zZQar2BA_~b-StDJ*P)9e}k2FC7cs+WKie4 z`2Sa;;M$VTwEr(dPjl2bdNO9!rl!U!v6!r1yTPI9#0A6PY~#IqJE9&JPoMH)Zt(62 z2Yn{iZ#6#DpkpG|QuknW@P|ZEu2}`APEJ_Z6np#JTG{W0Pxk_)Jl~(wqy@%YzH?y&M@wa}DKb)Yj^i1UhN!|zVg%e!m z{-3GwIHVu-sVd9vF5{(55(i&)EqS&jXUWR%4P1F&O9H;En7VG4=n{t$E}YpOZsJ`( zjRpBL7CG9x-u9~~Z3}Djy;{s@wBf~5Gmpp1lQp2pT4yZh8p_D0YC)6!oYx15y~ znpIhqc|tB=%e2j0c9VkARxapqJne9M%E9T&kF`XesVz>FdIeKlte*mvg?br{45O#AA6L{@Q5_%l_T? zx{!BCltB6UaBmg6f7~;ptxlRTMeHbA(|BWVq`^wZA9L0fY0MCsw4wZ1pO%CCiEhqy z+#CKf)Lo6;(xaDPu-x-ozrmJZE?t&uW-{0KIvk#5sZTHy&|8}Ic0;h7i+cCWH;Ps1 zZI2Gr@{7tQN*XTpyEJF5?u^|$`@eZHw94FSPi1eF6u5t@Ah-DA-)V1?9qs*&Jgr$L zx^`yFmJnnAGr6MdbDG|E{Z#5b>wh+!(VJzW<@Mz=B6#}mX-7@uYhCudJV4JR>81Jf z&0(fhM^;`fXqXb@CSvRqGovl+0Q;dZ>6)U_8cRo)Ob@Z5Oy-UAV?I4t{7Gs4XCVRh zD^=%iMxFl|^l#(RKgr%lkFz|S67$yZdtclh+W@&;UiaTEHs0ty`QnOGetkPunYnle zzj@qkx}j5e;xx@=hBG3QUb-{7&${+1GycW)z#Z;}mC1r!2@T#s`g#rBhrWI{-dB0{ zQqOPW#w+(TpM85N>J;Sf`bheixj)RM%1O#i`2w7o&H|^aWKO z4W8M!Z|2PRylGndxgD?QY}b&VaX>>Yrzq2R)$Z3@Hca2js>Aav_s{O>Do67UvTtJj zpwy{Uq!w3oE@Q&QLZ6T|r@pslZF74(Dc~t%roY{$(o5SP4lYUO^a5#NwCFM zyEAIEBuZ|OU^P>$=-e^4NIvE1(jUy$_BAJubC)hQY-8PfH_JzP7iU0@>r$(vWzty& zPYPB{33p{#aIGt0tDfMhS*84O`D;U8U7x=BzxbP|23Ag!XwK@{v(~D`v!2}9Ip-U< zy?~*?m4t)m=0-JSd~1?jvUdjaHNPMCU-fN0YkSsh&)n_jZkq`(oQXX#bN2+}a>g06 zCof&YeJ1)-FfB)!8pX6O;k6s;%Cr;@T{A4Q& z-ZH-N(5=5LS;waNIBvPsf{9bBvL<#coH$YS-?;-;ty>o?`8H{X@7BUn-&;2rGaIa=`m9%0m7d&Pzvj-0lH&PW`zAhl>*nV8>Qb!T zBa_Pv3eOkjzrGiE@bJOj9_QwRhuAo6qIVD#`0h zl^$n#zAjr(x^(_qrnesVqnGRW$A15|SlKE%vqU{5?Zul@`~EJS$^4kml>f_nU;CSd5x4?ODitxb+&XqyfA&2k`O~PL)t9;n<{67-aL!k z#64sBbj<%;j6Ee_zu)yH>}kT_ru^-KoBRi?#&p@b+qc z%I{qkdRS;n{4+HnyIo$dlS?1IIQnBt;6LMn=KK4<7KX3<(tXABnY&^31<$56E3z}E z$y+N;5fZJmj)uVcbo~V8gJLEA|NkkUo&AQZvC3ZIuP&#g!Ar*4D;yyuPKvj;ch_gu&N*}X z+TB_Gg}p@^x8I*!xo~=Xjau!-+Y*(Yk$P+!%+|24_TIztZ|S4Afz@WGm)4iZyzPmN zTK_mxI3aNQ=Su~L{mcuP7!6`(EzUhJy8J@@gnN&rj_&>0^glFJ@`CG)!!LMQUq`*% zm{%dMv(4$Ean6SQOe&3ctX8-gx&}S9&GcH5^}euLC{oV5F6x7eu1A;Xv2&SgSf!u- z=UVeGa#M9y*tOO5RRThSf5Y3fo2pplH=KyAFTWeAZkL^RrYR%mTxb9Lde2Jj$*W$U zs(QXb)Q{?W0z3tOVuN*iPn);G&tFgs^1!Fc+C|NX^Z6|IhU zI$Y(I_D!|0xx6rNiOOvT{m7mkZpW&ZRa=jRy9m0S%6ofCVCOO}w}3mp7tWWtb*%97 zM!9~)Nj%e5slD0dS;>5a_l0OiP3*?K6Ib&s>b}7+W%3K2WBrM#rw#YakX*ylrnS!V z)Sq^jgRb7JVQY^X+p{igxS{(bDShwRJ*-(-y7Toq?wC(?pD@K)@OZY8g23gaF+R6B zjJLm@<)U~hM);!Ob3K;3hI|c?+LoK=xRvhKWQw-rIJ=EgQ=#Ve$E$vNa$3jlW^!!1 z%RFyGgWmC765D3$@0T~vXkX~n;cKc|a&?87VsYpZS(e`VvaBG}J|PRBYbw~D@P~i(cUpP3l`L;q zz2iETax{2O>{X7*!j1>NpL1OH>eK}GDz;7jJI~#1cDL`YxZoV9sliv|5$?^VVC22? zgvD7F-d>M21{NN|yaJ8~(#m!D_@WF`%6gcrPxy&5ZJW-hyGi|>72hpJQI5m17k-Ma z{+uiF)cO$n-w)eTa(B;ReV6t1HtWumqhG#-9pn0R!dCl?VAB+}4LcWY5p`*pkee>E zYq!%CqWcGpSoWLAc{=>krxiBn81bt9u&43^qmJFX$JmPze}<^AXP7=!9IevR6*bauki z4Bwjg9Sn?b(oQ%@Ny=9JT;QRvdR@Tn!9Bq$(Fn`XmZtb;v0iuH+y7BfEuXEnaKZin z2W6*FkIm}!p(}q(ITp9$@cx(!nzj`$f2}`$u{9})$$N#SDu=hw$~B)vezvqQG~Fw^ zy5VAp#+wN$OEZ$WDqjCD|CVGF@vfyY>OH6E>Lk4gk4esdr!>!v?Gj3h3;7{yKR4yH z(e)?!%5u4eK`X!CIuV=7v~=b7!|9Kgs5M{j)NxhpSoHe9-mjP5IvTRK{GOHbj=kG2 zrt^1D4Ob@TIr|HR&3n&?3(RK>vMAfI(z%=|R7mz>a)3zOGmSTY8~8TvXLm5o7g>95 z!mcaZDm_2hcy3T`eVZ*)E8<`}H+boecg`oDeLdM-p8e+FUL)sa+cvuIl5_nNaD2H> zwQjWu-{T_j1In(Nsv-3{U*h_=dcNJU^WjalKE8M6*4vN9bgyif;P0g|dsFw*$<=;^ zXNtC#{}S(x*~Agy<@(k5y~nC|w&$NTitnkGSMm86<334N$+E+3dST!Roex1OJ5Khh zU!BY!w|{xs_4i_d4-anNQg~H6bNihH&e((JPH6D(t1ocvno*yu%XP9hox!UlvNAwR zq{c*->0IlEL++cE9>f$#1+0AfQaesY`2NZBLEcaE=kK|3-d*qU{6uGuw7KU#{$BL= z*NarfDLW6`4dRKMXgFndm(<%2x4p|n*POYr_bGGuaU%^0gC)*aLW@)_<{Mo+bWDYV z>*6XVRbMt{p)kgr)b^c%DXP`ety)UAmToo8Xnf?MUFCa><@FuwqpQBWTI#NUXYSGB zrm5StW*&EmUiQgac3lFt(#v$rs!rDb=dYR8eqzb_ zYyA8FFF$R)NN9R@fXk;_*@5c%JEBFu9hrGP>+p|N@|q{M8XjEDUME_R`=U!Tva)mU z-I+2W=Z|{Ue0lWtVUdyeu?>fe7k1fQ>ft*i(qVVu-6nZW>q=pHXMGDHu~K)ZxhG5_ zAC~Y{-uQDTD#egVuwa_r;v&^0dOdNw)E=%ZeI@U`{^Z$=KdVGS&M#`6nOwPc2J_S4 zGa>5*&mQ7<>R2WbEV3kX$x)jVlhw9eVz&FZ$v%AjvZ;XzBC^50t846g9$Yv571>g; zI(w$ZFV+7Kws`7DxfBZb3-a?lOxsf#{vi-cWF6E0)*rNVo zyLH9Ey0>dj?r)UY{o|&MXZo&roAa7{RBSu{E4yl}nW(_GsnR+4FZ)e}i4*L3I|}Qk zPxTfM*z+UXP~lOw?d6Bzn{Dnp+ge(7>22ZpuW!Zmf}>B+@uEYiBIildty|!&R8#n)0_`X8yrfSg~VfzSWOUv4MlU((GUEb(7_+C0~khkQ}_=jt|Sr!M>F zY1MC0K)%Vm>_aE_p7tF+R?qf&(Jem8eerWE0-(PH7oAn_`Z;N+c zMfCkUcpuu75)^jmbHvB0y$TBQ!8`Vz`o<=z znRw}CN8iNr>l9ix+3%d%UZlSLQ$XH7AGuRc^{Yj>Pq0+BYf7@5RQkE;Wr?}*} zHS^^D>oooq%agyrect$icB;Li{;%Vfw#Pdjm7CV+ORiXP^^$SbslFi3yk$X;w)1az zsl?|vbDrn@zq)7so?5(q^2RIT&u=c~wUYkZ7iKbZL4S(`dySL8^2Y3r#Vb5)-*qmS zqi+6ii)*U<s7eX5UhRaTVYJ4VA|NS+OjE=znZv;|VI7POkKkGcYA##^-cT*!<|xi9i2j;@|Nc3Qk*Ok@`gVTZQhs4+4tr%$90GC117& zHr&lDNMLyP{$jOSU#G|Cm<_Rq#a%&eA~qtO_hc>@ zoN7D89PwXhAH#p8pMUMkB7<903jaKkHD}zV(r2twp8uoDV@ZSKRBN?KCRR_?T@*c@ z8+>KHw{o4X%*BO2)%xNDoeMoKAKPkdWHs&KBHev5cJ`k+f}J$i3+g7GS)gNYy1dCk z^z)g}B7_BUEWE{!zEPt5(l>vBTDThRM5jeK{G&v244#te4ZloR^nv zcD`P;|I6>G8`i6>m90GBw_z^A=3AlP%^tZ@+7Iy02lE%p;E_aUZHQS=Wbs z4nANtE3e?>wyeV^7;e7W&~$78<1wvO7iTqwP2Ux;IpXBwR7<1f56o*yBxeQ(NG?dT z2wRx={?u;$xqYg<$_eR8-?pU&A3yr~+@r#r1wGF?uBdF9$GuWJo2%q0tDemvu291{ zqBpgFI6UJ~m+?ql=eK&z((}DP?lSVGwnzECYiKKSUc0Pq?vGt(mIj=qd7cgEkleO}c`PlAmc2upSy6*AjVr9uEZf}qI z#ELsV=M#&yY@ETkbLq#JK96W7u47hyH#hbLzfN`iI+cCh$-EuEmn%Ck-kg1I-<4Uo3xP^YrDMsxQHL^FCe4ozvm+sXxwxOM1TO zRDZsA4xuX-NO*E?3=lXJ8M9QyMXLUbd+X9UT;8mrB8n1~YvWa&JnJOgv@ZYX`6To@ z$NTo>2e~}!W3(+z!@07wnz+TT+^Kdfy8C3$*zA$;&xpA2*4Zkp027B1HT1J85yd$yefEb$atQ^q&e0+^NAh zt>MSnp5FUsUPSfXzBk0-sE{z&@E ziYmFV6;^LAP1{oOXp7gPYrU661=%#35^J6`Fo{G79^;-|{&R;_X7%?*v)Wr1Tz@xP zyL|f>>&2&ClxiTkj(>q=waaSF#529lXBHe<)*~5q>foM$nB3)a#N$O;pBgDo+pG7~ z_ekyALo$|`9=+$%7xEhDG)0KtXF47gKKbR>zjs@|G%U8Q;^F`es=eizmY%cta{C>z zYvo&?<$GQ*bJLvJ8Mu|nPdu8xtKMc_@PnGPcL_gzlBdm$n6UWA^GT0$dsOr0`r2G% zojki}L+|<}ORocW=(zxP~Z6+gTF^wU?@udWvlU6LvGf682O`>m0YEB@O({rzT&{;lMF z6>DF8`jET1V&&&GXJ?l!R9N+EeqF!9qWJ%-n=8&r39S0e%2aI|X3Y3FzF&3$Bl8Vu z2Hm8VEobbXf1TZG#TZkTCz^X8CWXzlpliw`Tc_ZaUAhggntcLYl6WU}=RS5YT+A=V zmfCPorLo1-%Z&eo($O8KPftqn5$?>->HHC>D`>w)RmetX)8C6tFD9kLWU#m>ecak~ zu{wi8$@m)6T!qJahR3GJAK##$c}dz%;p_KJHPI={moL&?mEAn`#R9=rk=pmoQg%EK z9vyx-ztW8RIMdpRR?kEE$2uuQQZf_N>3dXt?OGMa$6}3cso}IG@?? zf7ZUpa#5AJ->Y+6v4`|72_Fip>VC26=H-hQ>d(9ue)%%jBDy`tAW}QKwR}fr;-m1e zkPCnJg(>%%T+o}d-rHiv2ZcM{>!fNp6?zs>-9w1C*k~=6@0lyzZmr;UDsTmgivu9gZ@cmTwK^D>uB2 za(x)9s?z*><>W1kZalCLeOnm#>?Y$CC!5drzg0$R{TB%B)U_3Uxq4I5ujP-{sBu4? zVsxJlVNM^cdT}IpP=cLh3e#Gp~<)(_dNUI5p{Y+}z?1dk*>) zojUs{`J3hH)!TGCJ}l7HTl7aD%G_kp`hSiu9pf5(og;X1o?Mj(EP5a*|Jr8z+z5^L z>(4&0KK)88Okjb^8i!9({mk1B9^dC?Fd>`gJi{iB>{WB-Y2Loxm9gx|tz8wnw#_OG zT>Vn>`nx;-W~}V|&MR14%{1qR&H({mW(M6yZMs*oQZ2qbT58n$<@zg4eevnLe%Swf z6xrLeDP!u+?DeMqW^A}!puxw@wB%HZMB548S07I8>=C`y<$7Iy-PWkhT00j@YKymhz(k?+)JGm~_|hqR_$xn%g{*8;q@V z7J0vSj(euhmHaVg&eYBm{IcJ@m#(ptSoNsI()EmtCyR>z6SiWLKy5YY&#h(pHv&#R zi>g0&U#2Gc*mce(g^m{vmAmrJSUr6G)^Sr+*5*fRRJu1CeXG3Ol)U0!wQlHkyX#j^ zo>fiEvIuN0V4GWW=8uM$TB*(@_9fF-y|riHE!k-|b=gj?j(h){cUnDPqpQU+VgBdq z&n6ud>5N#m=W>eZ&gEQ9O~3T#s9Y;PJN;X;tdXPgXGg2$8%$>(TJb`4y`HMB+~h~g z8e+GeT$OglFWb!8Fx1Jh?Pdq#nHjZaO1~Cdb6UPA_o~!!pUh>oUmi3Eg!T2lZri#t zI&90^v^}|ju`kk>PKnx@I={O|K{e%SVtA%qtlP#3{l=}2AEqAMrnAbh=|kYzjn}8I zaS7SBed}wp1+l+xwcR(lDtaxvPjOr7+U#kG%DmQWQ?0^^H!sk+*2kV~;&OR~B+rrc zyb?^Z+un!&^1trpyVSQ>X>s}SWm^k%y% zj;)1tYc?eI7P5Q}Sjl;n|5>|(-9ZjfwY;a{{|Y#BMGq%=Ef&3)A=vPOwd-lSY)?|6 zQuqNE-@xrJ#5nJ|J=~+=ve8mNOj(Yzt0GC#u>4U4kBZ3*q2tPq6FmjGC;eEga?s4u zFHKM9@srg$I*(b-9{jaitZ=~v*Evm}j(IH;e;}s%^_bV8sb0^`%6^qfS*!N$-C-)S zq@d>EBnE-*P2Y}rA2N+PpZoIb^~{%BC9dfxh}^lBoqr|e*n)d4?!JdgpWOSX>o~ch zIQoLiTGjZivrE07=e$TSh?ej)QZQv{4|;YW`cG~}0PDtET)V%S3HeUE*jw?MJJ83a zSm!`qSPkpdGqpEY?&xa%lNVNV^q^fN+mT4MWTlfv8rzJt<0k7cKhjC;5GyK;KEpaO z>aJWEXU`p#)wh%Mf#lxZ}*sVTgtRDM@7x^nOjmy zfTriOwgiDTR?p^S{c{zbhn!EAAIYC&V)5OU_$U`QoU2<;)Ill^++F ztxO+BT==c*B$i{WFZX!imYK3`GlPnZ_2rCLJ}+}iIOd#btuJT1^kJD>LRye*k;TC? z#mN_Ey3BJnFsjlr01vy1+&;4nXVW3n1?;osj*4aBcecUN7IM5 z^Gc33nJ=1{_9OS@EADMSySDC(u(w}u^5e&=l|PK5Y#uqzsdlUU!WwP!XtB%*yNU^q zr7b>xNZ(RnBX#=X>RI7i&oJ9($HzYW@nFshzf*VLC{*lWxWMWv802gtRX6d&!-t!u z#Qv>h*wpHmaiMiaQ|0lfpt^lYc`9nY?|P0b(d<9+;%w*6=dnTW-e0=m>=2>m`=0mo zl5DwYFZF!y)bgms+S`RpUMDZN%G10rpf~bP%xAUw2c9#h%;&4C@ld~8b8~{o8&}u9emGsk`i8lDooBhyi%)arZ!(%MTkZL?bh-7pg-fije|mAOSmU)Scax9y z3tp!+KUG&o^EIt0R4FS9Iksp`g#^>rb6UkyP#C-f=^-!MK1C( zuUO<*BHj7B-PSB-cT>K$(O&A|n>`!9{<5mOaC1WGp9z~4Ump=}nz26eQ^#b**H8XU zR(w6>nCvpKZ_PK}d^l`1^&z|Pvk%8*uW9yLR~%LfOVDNFFBkUdU*93^e&C>>ET^iMGPikaq|U8r?E?D_?3gRr1zzcW5!%hff_GJIBdOj)1aQS8u^S$1uYMcdI%rgLRyqF&_x zxVrS>g(EpRVlF$ZpCm4PeEVE2i{5+lM@?5U_B=Y5a7e9;MOaQ+a$~3}zlGK&&tuK( zN)8LdCVZ%`ouafwD8C?aRa3#`&7SY=K5l#%$r`cc!0v1EtzX#WpB;14dG?Eu-O$Wt z|A8${$q^=Oh28;2nsS@`T`V56OUoJUv7NK==7)eIHWJ;Nd2RR&1?_L-*e>MAFHvT= zC^_+i{^sS(!n5xx_j%@&Ef(yY8Q9Qk%x1yA>i8|a_jYm{V}CUZZB~}Ky;R*yurFod zhUs57|0?V6F7LM2bo3~#h^Q&Io3Z${@5iEdGBR`ZRc-a+?i?8=Tm3f^y!xAcRlB8 z<54X>zHh43id%=i9KLt-k5y9?%Wkos`LFs<@i$(v`^(UL>rBd|w_gwWrf16JOBJ&3 z`O(W0v0vts!OSxqT(9*PFx_9vVij{s-}~x}byvIcWD1XW7b#5ry}~A~cIv|oH>R`h zm~7>}`r{V=NH41?ku~e0zIq;-dy(hb;%z}kx^LH>Wt!u~ zenmv+wH<#~`-G#N5j=kltBTqmmf0?5e|geB!}kS;uiygpa?`x)#&r|sabDhRA-{R~ zAqn2C3O^OCZLc1EsH&b&e{$Zc?7cre2ns$rzVKIfgY6s_Y1YS+&q_?_p4R#(a>9P= z_g~+9aZjCLZ@SF*ywsB-ol~n;>bVQm-&%UEa>@aR-$fiv2evM}RJEu?DWapaLCk>7 z-8Az4+LOQPd^6;pJpUHTZeS$4@p6{U)SD|`2g%;8$xgUbd#-Cz%$fUz;m%_37G7yt zEBBZ|m)td_i@Lf^=U=`S z+2LliM^)+PSB5h^Vh_&8*L?rjUjLincloK@^}A&s)Ryi#aO}37vex6vpVg)Xz9{$P zV9}JnEU-!NQfSH!A*IP1I4)iE30$&8cix?KzDB{bQ(UBTU*Aej>zNJ@mvipZ-&ywM5zx&U!ckkZ*9op4y8QI-OB#m!Xm&@m-KkIqGChlpR zW@1sfGRf|b5~yNxfxS(;)3!*=Q%R% zH{!LmZwn;mJzAl#;+V_YHFs8j^x$EVd;5o}e1+QD@*PT_oow&uS4>f>~yOiWgGv#U3kA=j!Ux+&f#WhX4#`|7c=u*`?X z`*L=#TRknUzEu5nTPS?$j`LBj6TA}~RJS#HsGt+3sV^7F1=x9i-7xd8pW7ur zxgramY?fVz7iWF^d0D^y2luMfqbpupmQQHO6c>{``m;FnK?Q^7hV}enFC-YIM#sE* zCI53@>;Je_Y^fcQ6W9E7E-v9+1M|Yig#b!MgBcO^G^uH+uv3vAnTqI%O%7a96&&xST0|zMazi+C!z+=Kh)T zd_#NXD!b%(#Y5RO#bW=qN@;!IQj{&M4EGJw+8epJq|Z(By2f?&-^)u5iEo*4WJTEP z*;}KE*XB%#=AUg|8~$*@Ucreo+%i2)m6KNN-_UYQASoJAU|L_v7#PmV-Lc8~%mJ zo|k&OV%gK$&}o%y>X$-4&r*+!JyxlGyyP_RziFC0Uu(Rx7!2qcflXlerCB zHm*4}UFVyW(@BNJGV3jVMrCuwPcyT<|KEwrI+i75_Ox>)s(zL47!5AEor+4Fn5PkQ zvO{ZUz`n41Cw6sTI~cjcHI8Bby*HJ4@qg>?Zmj-%T)sXkWc~AFa_d?*{Mf2`E~cke z@~!P0qo@8W>!rkQcN{fi(cJff|Md+o1)2MLRYEKo0h2;4d6NQDj{W|-HFK(a%Dl~2 zy3)l~y#ArK-o80H*MIV%GNYgWHq8I*7`i&VN-T2o#S4EM&(!T^)KWC4QCz*jYX1#S zr}xf>=SH~8C!Rm?prW+!V8om+r%fWIZlok1HmFUhUdo@PUm0!pU-y3eSxN7?Wij`! zozTlIm7Mi<<+^nbUW(r0dy($(@Icphm8V@QE9Ad9oL^&hx9$9g%L^;&&V6+`^eT^I z#p(4IOH4S#ucp|3*^$0DcB6v`_u)^c%d=-(ExMU|{o(4p+LJ8)Etj`*=)Ukp+RbTp z!d;`)B`=h(!Rc2$$6 z=--e@F8_A_{`*VcSEt^IKd4^$I^3}Cd*`vQUkeJGb}QMwV5re&{(Jkn-;+v%>iX7_>jRR^wI8{X-HpXR|t9%XSA(o_@Y+-pcp~u8+6x%Ge-R@wqSW6Su*Sh%b{a z|2x##{!YzPC)SlCj(-Nn_MIm~itG8=^%B@@;}QiVOxdNBSnJe(nsL0Ey|}#NGsR8IplO^OK|Iy z1=Ad}Z^e9iGg+8#?nz_T%)Q%EWKJ2(OX>K$(Obh{$@v0-?Z3+6!+!g_7|aaF4Y807 zysDU?IyvyF`zjx`*-A6ttO@+F@tpK!jlH4DZ+H%US+JV*(f`-w`+wh$@{2btJi+?% zrSQBflewZ!nqCiXZ+86kMq=lUz{_7nCWtch9a_C{jpou{ux2SCa3{wXCIf0v1OoN?~p{-YLA(JM~9y@?;}R{h4l;TV5J^PO^!*e01}iW+Tb6 zeThx^YNgVN%@bUvKiXJ5gLzu~om1T0Z(lKm#2-qRo*(D;+s5!uYveq+e~0A0ACx*| z^>oeKUz5+6uI$+MrB$}0M{DJEG2yf;p8hlZ`E7Hox|iKHzM7E6o0a_DmSf^m>!q&7 zs@birk#Daw{HpE8qJu3pU*+e-&QabSEhD-$^=R3|>FYPltK0X8hwssA zrn1YjUbhw0zct;v0cF$k^dZ+bubge(p^XggmhL%4n@tQeHpB9DQZwri{FmHYTEBU#Ti`V3vYn#>GSa6eL zc24#r(O&+=XS?b@%Iy<=oTWT{*TSmu?vvM(H`>p-DrQR(6ZKXm7>#peAJw zF{as7Qm;348nrETlmF!+@}gI0f9tIew^fn_kMtV6+2>$;(y5BOexup9kMi5!FZwX! z?7=@vThIU6{B6DIlfMe?D=Rr>>6n`T@mqdTy}J0IprKgE$G`)7mQLM2*L?p~&+_AY z_FS*|!XF)5chBg?oR={kSsg!4zP9hrTo73Q_qF`LWW7%TX)^zo_1(R5X=9S)yZ3&) z-woT>7V{U@wO$c24~lyhtzO(eVd|kehmU&-HiySutlYA(yvFVGrYGzsyBCK4@cQg9 z(|_XHp7iuzQ4A`Td-s(JDqI#UPGEqAZDw_7r=&3dP^`sRo0^P{#(tb4Kemdr8(XMsilX=5(>c={Cd7G@Yq7M!)`0od+D*@QZA(mQ{M_?F_vB31n3$texmU*JsIMuR zv2OR%ySv`GJed13D}S>=X!&Wu(AEi4qdHx$eSNB$Z#DhNaVzWkpeFy&%X3#>QFoY~ zT&l}|_nYFmEjPmSciP2f-D#EIRCPn;-?}pmhqFKST-&L#Ih`>*@+)tx%OR@^3@d(4 zc$HggwKn3kswwl_jgeR138?sZYx-AW#BU7Vb?f+VwO?Je#$G3k zCLNr*{<@&fU=WKD*ESI&$ej-)#5dCCtw+Y_a*MrS>|G`Ney=3A07tZ{X*-8pH1zojCPn z?nj^f`9IcK7ckFJ6uT435I*78l+e4nd-c9D99+E9mv@ri%hXqVtqt(_vCgZ>(KNq)_z6*_^NsCs)~mfigCSKH~m)Awj~^bS?1!CdRHxTJ*nsF zH&ZrlwTSG(9Iuv(k2Fo$1+^c?wVGW2YnMOkdA8({(&rDX940hPQq;ULwP)HpQD=9y zi_#B8C)#XL-m_?F$J@%v&Ik8&_k+l;;E=s~@Q|98xrw@PrKW7~>^BNJFOtuAc& zuw{j=_oX$Wzx^xcbG@39S$!@-Ws0l%#rUU1BJMMf2v}+7onHQ~?c;*w>(o95`NytR z^1A)#hT7iW~|jp#`2_lvGY?6xhAI z5;eh*bEScW!bPs*v!6__SheoOv6L-QR;3?S?uoJz{m_>_DNE$Vv(!4vw7(C_by`Cs zcJ4lyamRVWr@|j!95!|P`SWZ4TXi~x{lVe653Sr^+6-SvfBxd*rF{$-n5KkP6L z73$oYqq@9BwDbA45S#23$Np(HPx*9CXomKADL($ET3y$_MH~!1TzNlo{VV<7-=ZF8 zf4QiY80&LN(zDNfNoJC%L&df8E=7F5w#V^(nOJ4sRQbVaQN)Zd>)JftXLVe;C?L>( zE_$wllYwLX=T8fJjoR2ue+lX?vG|o_V{sxbQeQ80<$-S>j_mlSal&y=hkBxE`@5bc zyLXgKkUg4PxzWw!yQ|lSh~+19WuB~A6YX%Rm@9(wjnki<7KwEq5?q^wy4PujD?Bb8f&E2v>clWM-N&7DN#^!}Z<)Vj zY$TVbDBZrLoqF_9!PS7&k9!IQ&P%YL^lkaEd2aCC`Db4K`=aKRS+V}Jb;HBG^X^@H z{aT?nfzR;F(ba~5XZTg4&It$gO?)tAgVOBZJ3ke-P1CMD@BLWNkUesH$JCpo4x$lT_YTPM6agH0TZK053# zU+*URDRka9zkmPC-|etab)PPO=;_bj_d7nk=sKdCv$VA`XVs?-9n-s(ybGM<7*TUh zg?;WzFWvj;Uwbbt)t;R(<%4$RvR8X_#8<|*d|kfIQ)K(ojdM+}oLR}VHmtD8nXllv zp!yBl%k6H9Tw)|&G=6bx^Hh1kZ1!zwEMH3N2Azms45CMq1C2vPULIbgvNzJ5CGDbH z*xHJk*>ekfl_ni= z`q9r*y<`?Sg+LWT!7ViwylF z1nYvF3E!wOy|MPX%JU=78Q;V`53$)JJ=Mm1m*7=p{ z93g(|_97)dhEq@X#~S_Rn;Se=#YJ|Wu0yhPOgj^2_yMDW06%rM>zdXFG{W!M6y5PK zv(?W|Z&^_7F7rX=ifaZ#==&u7B&MECyU$)%d{bGsfZ^NgnQvUDD0KW)Yq32aDt(~N zc(U!bH?P9wH&xYNX|*a3POm@7f5y`HC+p$77O^bGbgfR0hcoz}I?WfB@4B_=&Z~E; zH`j3`@oO4x-gT8uG!sBr!zIq~-l3XY|3Gj>m#xlSWWX4CdI5#i@M3PY`S*2bT| z7R&!tcftm{Q*T*c2zq?8{oNOF{gui^JASQ+IW@VgL0Lck%-MSVmW}2z?bwyi6pc12 ze`=6pesRy#pmKdf-kB%D+e!)wL@tHJ?3)z%?EKpa=^XE-9m)^r{p6Ub^Xcx-1^sLu zn%7q=q~^&jo-Oe7d_zxY#?h2RjJnfoo82E@@v&3uRjGM%hu=&3=rWbLRXbbPOgZDh z@OamLAFD;NGD~EclsA3ZY$AHuOI>ltwn^LB4<(&g!{&4R$Vz3+1M#nC$h_zDetTbB z%Ib!5s>dt+S+hMN1ZVzhNL&{DYH8kAH#b+SMX}elE{I)Uu=pI(1o9X(ZQE&3<$Hfibqa z6V(s6ZvD}k1Eq2WA zz4j909L3{~r6+%z{%Y4~o&CP_+n<;>;zujvpGP|D)#s&5TD$2-&LI;enLSP}KNY7t zUelBk3|zQ)yO)gmtrIHXHRUI^skD;bh~k2{Q30H6YXN9 zE7JEB796p*bLLqnUTP}ssi&D;Y(8(x+xA5l*C*Z5ZF@H9{X@QqPfpCYT*Qz!X`(`> zR!Q-cYh`T5E9NZrwo!VdTvB@|>{jC0j7!%ZtqFcCzgpX_dz0^xuC@JA--Z87@MJzG zlPg~Fal_GQlL>duIoOClUu3z}2YALXzGFDoLDB^4u)3tnaqYrI-T>+{-N;r*-^F z^I1M)>gUL#nyZq{0<9vW=L?ot_(x}cJ@$-I+;Y3<6Xjj*Z+{Ci3a?qY(6;X~^V=nF z=d8STF4z0+XKg|5x#5Pfnf?=}*h$MAm~p>k#ygJfT$k?jl{UF6f4{YB`_0-(F>llv z{zT6coO-9NBEWO{_eDYq`~4;>h#lQ)GjH{j+eN#dT}=48#I*eEvWH!}!dDlIJ}uW@ zv)X)FmvVZ^Gm#BKH$;-vVr#v8>Z^V$+Z>6sjpi|Wakp$|^`r^jubw}RmGZv)W^HUj z#DuTPUkasP8`jDsw>~&~`Al!xL$m%17jqBVS_$n;h&4#h+#B1Sc>hAd?SkW4G7Lt# zeoLIi9=TjOWc5rud~)?-l&yfacLLSU+T+$T{&*o+nraMJ6I+h<5?OcSW?d{?koYUyE07nY7xy z<-pTe<)gVX*CfCF~{b=du zt_0?Nvs^TG38y|Wh}t7^oz<3Q#*V4qb)|2g`m*un@sm+APWK3{ul&a;IN|!k*D+nM zSk~~|XLk4N`kpUyzIAg2AM;iA5B(GDxs)7lKH9%dKy#J2_>MNVejX*aiu&D_ufET* z*PLkfd+i44MGmWtcIJJbSvQBRF1P8>w~62O$JC$p_s=@9U!h66{prT*f97=y^suGR z(wHY^5oh`SK{?YBrNR&9ah=V77Afgvx*pB^xA|O?$W1#juqolqe4R1+?Pu~1W^4~# zyXF2&^`37Rgj);OMD2*GYY}cZ)ovvFHKcL=W!WPRQ8_bDry zyl^(Xx>bXpVdedt4VQ1IRyW75dY2QwNjxL_>3hxkP4lnl6=a0$^shS2nf6ULzIbg% z{hIgIti>07W@W0mo_=vq=iVRi5uWe% z{-I}_M{b$*uu`B*P7hdD@)#?R@|DwaQrH++XU#bjR9sZf= zRKbp?Q|7N?GLJm6?u*#6w%Thq+$S}jFS&41ZEr(Eb5Bl9w$%A9$ql&$=XY?JbR2l!&d>kv#X^UDkN-7S>agDBk^SUw zu;{?)(5J19fmJ8{{BQB*7sc*rNq1Vs{bNqn(ya#F>z42O)v~O(x%tQPtOLI&+-+Y?Db!?YciU8LVzUgUQpH1g8^glPN=zpD-J2Ci@kpI+K?YkIfo2Jf- zKXd5A)BZCpOb3MIXcK6Lw1(R+&yvHQlyruWqf{W<#DFsf+tkGloiYZ59> zO+4;zbc4^IBdvS-u3d2ny*GUGtHK^Hs)>JdbiCAA4(3^Phd)#_~-y z?`NdM%TE3LB);@SgyPQGf2K@#{kO9|xrnc@jzN1$MHP2pVvgTU%j%cYrd%%VTed@X z>h8wX29CM0EXH5ecFdi!yHV3KEcx2Eucq$KiU|@Gy_c5U;cY2z`cNEZW-M8K_R^9& zHOD$1>y>=F6>swFW>VWJp*`BMHp+~3*Z<7rTP9QdlwCSr{rn4=IUhnyWqWPjD=&7F zVCfXO|7+`!nJuCdkLme@%WQUR+;w|PX?}};rndPm^{rFQOnjoZ3(8J^;C5y1`4e0o z)>3Z1aeVI%*B)Q9!hfb+rl(Q(QKf@#FWl2R*!e1Ut^iMR;fBnA^D8-zYsgqsRU7VK zvF_^Wr*H1eICC`1wj^Yia@?QFse&T4>)LELiKu_ND*7Sd++VG4TO=a-EQkFWm7e$0$^#FI?@W@C-4Yfc zS0H_P`Kn&4U-7@CF75bg9sm2+F8xhK8}*Iz6|_$^veFc>ds2h4mNF z-fYu9m5UbT|GRJgUmmge{+5rceJJm0!vLJui3XRa!q(mQQ0qETK0W_XVy+WCT4m)B z7WC%M2POuFNDc-D0hFx)NEe+>OjPuD#k}aWH#9o?wt-09_w@pIy<>$oFUjYX+o7i0 ze0D`)HrH#8S!=EGWN%J=BB1g2y|uev&eJfjg>yc?+%0o*ld(*l^5I!8Ti?fS+;k;I zW1WopS{JRI&z`t#ns79D;^bGAmj&kE@!A$+#QC9tB{J;ABB4_yx=+R97e9H_6k;mQ zrx@~S)5#wUr#?sTpT3)ov*z}aqs#u4tW|yeYo`6iC zv;LB+5PO1stzaXYmO`Ri_Joj?*;@jyc2p_Od~{ob+j81gZ3|Jci^`GZyx|o=x0kH5 zpO!q?f9aj0?m zsi(&N_79m4J#Ew9d1&?4^Q=EE?0!0L(|eU^e|;BApZvbEL2kzOGs5@g9@x}&IrqN% zj_&G`m|NU0;v_x_xg}2$GE_?1QyI_0A#vq;!R-ZRt7Ff3yYzcJcvLF1f?s9&T$dQR zRSUw_p4#NF>UQ;=qY}T(l=9WgK12!dGA(YrwdR}9;sE7EYaAcfo!b%n`X}e#&aSH+ zYu4~M{1(Vr@aJ#WQLgvt*Lz}bpG~l9cBwG0yvz<3B9v^6!7H_cN z={$jLE!kV2L?*q@Y!`{T_PO!rW@bK}$CFkbEsXz>TI>Ju)2N=az$9Q z#_iR<8*_DEr3*Lj?R}os@$P`kkHG2ChITF5LfM^%|9srDKmEjyf`812e0`G5+JWug zRi!d+1_o9Q^qk|9S^>+`E1xU+yI|&=)~LJrk9P>xpN~&m;2_U;H)(Fpx^tr6C#1zD z@R#3=*_8gpcY*4uB%O&`_HTZ4{d@nHcd3Pp*Uo(|r|jx{Ig8L#6hv=#Bm1)@Q@5KR15I zf<1e72&~`p{Aahkc=;jyeZTWQ&hPHF%82^&?{)rnfAQ{C4R7Hs;|+Aw?tleUlyI9l4q(|;*`ug`_aOndj&_#k7?C=ZCER~P0LDi?*;*W z!BOX&Zdf{cC*C}9vg8KG(#;#sKAXSL`;cDzL7z99L>u+*YMnHRnze0elDNd=msU^b z7|qJmI&|+eXZ8`Ro4Li`;$B?lnIv21qMe$0QrB_GgUz9(n!5Il>y}P!u;lQ5>OR-P zHM2@j!RB1ilZLm|KYX~@p8Fm@vdYD3^`y0TIQ1p3Nc#SJzc8%r`=MWb-cg?0{oB0~ zil!2ycC3|Ra@sWa68qvAZ>NT?dw8Aoa@17CO}c4+ zx<5?6Z~WlSAv(`NTXZCtv!%=U0q{;!>PqYHJS?ldJ7|2V?g18*UE1Q?D7BVBQp7CefpaF7v}~`u{(1m zn!MAFl8e=^QfoJhj@Z8aRryc3Srrq^=53ZuS;ZQB{Ym`o1-H89-#7Rw8EvRow6LnM zDS4UkuTQ`GSDzM{Aof!@EBznOm5nnlnsXg9sXcr>e}~Q9#^@E3cGu?rx}fx@?1Wcp zSM=u1i%tuArG|ZLi;WAI_i*urB`nLn8*2R_I)$sORruAHJMQxi z^sVw+F2~zn<(~XK_%K86<(isFYnCju`u6bS>%+f3uAP&+@eT7v8y=g2Z4cv&4a8Pz zHdS;boL9WMO)|mSWtm$_u&sPsY+-5T=3QwSn!DD9iYDp0>)v0)b@!S!SHOX--#|5eZVjNQ`) z|BkLnQA}Hxd=hccBfUk=&+`7uH@ax3rFi$lhLGqV}jh+pouW-xQ&_YRRiz zU#m!4`=u#&KAKXvI4CK7MPcs6^0znknf{tuB9XJ~EauO5hW&Mjq%IO!57d)IxT zanCB%H@%B~PxG2|`}#kYy#e}Lg`?H}WoLS;rZz?8oxXnTDeukfVxQwHo|V1a_2QZK zKDDolR*FV%o&Hvn(duK4jWJp@LC0Xrdi5h#pUG*7FM!=W&~bx5V^{ z^6N$4DUwk#^E6}6o#XUJ%gn#Uwl`4l-j*jhEU`r=CY}A+nUs8d=b_GC!B3~!l)wBr zHZg3$6c5#|r0KmPwHp_jY^bbg_SAna%$Fa!LB4&>Ew+%Y_YB@nIacU9J?wz+q?OZt z)ufak3w2CwKa-cP6FEjc>}|z|+g461pQN3ce!|*Dydpg;!|sKr!pw{?cdd6q zPquPaHqWx~nU>%5^tWd3wMp~p?yCis=$q}o^y4~<$CsO3XBY)O@V^v#Z1L3LzKnD<<(3ZY7P8T;lwf6j_=FWe|T%xxe6JK^NF(l?o-;Bk}+snFa-x}p~pOjQ_wQRg{MyyI~ z={mkuZ(j)Z2FsM{D2bnve<|y?LrH9{A*0=63`ywwg1G>Fs*Pseh6( zp1iC7o%*-pxADsl^Q_MAfAF|ptxl>$=nH?A@gs4^Df|5PUU0wUot!eos&D1dOUljD z58MA0WPE6{Ch2eIv<8;%3l}dw%6wORy30S8`mitQKMnuw?W$MavuD|Ub93fWh4|y= zzZ&e4*&i<7{@(Q1O*3cXs&#+AyyPfd(6ojxMCMWc7U`!&M>>tvx0IwCod_^IyC8zA zKqKz%k6*_N^CxuA=G<+r=DujJWm#9LuC3xS3)$1+y(hoz>PXdH;M;O+(YB=#^|Kb7 zOSy1EdW+@j3%f zQ`6*@FL(L1GkaRcv5K8@-gzx73BAC*YW6~oBhFtAi0qhlUHN);!;Hs$`WuZ|VvpRH zSuXNZ$;;@)?%?}h_Wk*>ZbrTjhxq%VqY^;}g3~)^co^+-pB;Ne>(lS2qK69n9Bnu4 ziCn8OUnf6L&)8~`;D!FpFN(zG#y`vw`)lIbKF6j1{ZB=ujn2m}@7Q^R;Zt!#Z}LuS7N_(2eBQ0 zV7i%YW&h#F-y%=`tl}~V-N+;T-%xI&@%syLkKfC@wcKN@xz3EkY~jR;^7!}lzux|P zw?;O0VaZ@aRl6jX9Xed%w)AY4*L?p(?}9%^ zo~UPg30lgSa5ZpN<-D-J`y^va03Tm@-(vB{>-oPVU)H#HII_y>qDZg%$%ozlg*7;o;lUsbpY|_6yzeFwau3FxU z(DL52X;bjIsY<8qET^sU=)1Oi`fANH0>;kWDit*sGd4~AUw5~c?Z$(GCpo#Rf|TYx zcNAu5bbFk-XZP>)tL6=oWHZPwhmGp~CIpE~z@OVwJx((V`W|28e2veswix{|e* za{^5m?1S&m*>AT#dvn8)%jvIHnN?1omHz6`wX2sVJ-W5w)7{tQTlKhNt>2obuRkw$ zE2{X_=WLCt%h&F%`THj%b?L9?=ltePjW~R|e}Bxq1Fyg4r0w2xHPw1&%OuhA=~*{L zcZJ-4kbLR#$>6WHuf&)6lwMHNn`^P|4A)%lzDs99jiY@QlrAXQ{4e(8$*V7qb3ZLy z+3M8rv1&_%p15|+$z3MdZ+FbwxgclywsW_>is^1%GcPK3`Q$@0%(TU84|0a_sISSH z6*$?WB0F~SRJRvG{VIa|Gmraztx*bEmh#*9?sf;J&X$YEJa!oN=$D3ZF-^7&&ev{H z7yf@^zg>!T!B4)JY3rZWb*Yqm^-?XnC*8d-=n%tngX^&&+FsRq#?e(<7XOjXnJ2yX z#hD#fHao_OL|#tWcIT4rQio@m(aPMf7N#uF@G-1CW7IW8`0F+8*mcUcIaCCtzjLy$ z+LymU>ui?sZL@|NJ$<3~@1u+j`a8DAp7XiuHLKykIp17{PL>{4ULJ#=hLah-cHLNh zJ^QvE?7Od@v1}Vz~=7(Yq|b(i!dw`NcO$HW!sH!M`t{l=C!p#SY=M@l_zNn zZ-0FE+%x~6$dfar+<(1qOxmzL>g6uoMQ*PR*Jr*{xqZiQUgn1BT&EcOOmD}onJ6db z6{q`j&ZLT#wJ;{vb&}29L-EPIEhbTYLS9D6)`q(bL_Vh&`$D_-8wz zb%o6mnSV$9swIT@&VCiypB>m6_Lh0$t4Ceh(_gRJde!5rjNyueb>Wj`=9GlzfAmoZ zh!eQCAu2z7eYNb5*pF2nAFUT2deC@aQHt#`DeJji*A_2HPqAsyY!|QE))RN4A-!AU zR!Qdh-g2qyr+@Kn6TIsB@s9H6LKE)I>oS+Br*|ru+}Io`tEq4{CalwJhsFL~o{Q}L zf9+SkxSTIU|( zSo7+QdEyHpN7n}(Sq}`CMpVqGoDt%sJzG5Z-iy5_RT({x-}ot0duhw*PbR<4^aadI z*!m`G+OC;SJN#1jYQ8k$iE`QEw)FaglRZy363V{a{rtFj-X5#Ft__~S&QljI_e|G1 zupsMAg?xEP6aThTfA>V_8cRfMi^_X>p^4ve5!*tQ{dW%CIG1+Yrr5vQd)up`4oB{Y zwP#vf*|nQ)7Uha>m?tX5&LMW)?}Fi)Ir_E>WdyIpA2{upzjGB<+n@O6Q zK2~f}mrN#ayfH<>v?pNp%(j4~SH9o=b+cEX;G|UZZ2etw@i*DcR=lqM!arM^BaQ91 z(Ai6;IQu4@xly_MlEb;uD@JnREt|I)Z9c=1e%?W8p2u}QrCK(d?DX=o(hP`O2)5D8ChEpR$)JxM#M~r%!rscNU$_>X6V&oGtq3?uh{+BBPw6aTMD$J@8|M}GOEQ*T`oBP^Q5xeC+|3x$@I-$ z5`JBN{ke6&_g<1YRr++x2X)Jnr7z3vg3T4Zry1^Cu9mi`Qf+f17+iJ;sNRKTb~GHD!B1eONpD?uOsJhm)exHCZM*mA!IY zzw+~pbvqj}!+q8+xu>A8ok8X0wZCNuy(3QPax>dl~d!KA)L# zZ?Ell?hkid;vei6e6aMcPS*X;m%Hn1B?LFfed*qpn)1eWiEVJx>-U=1*WXv>`delG z@VWYw0@*))+b_Jn>?if7(=h#uUN_f|;A8Q2@8uGBnY>T7F0p61vVQ7;Ztj0h)#h%zZi33FZUatv_j2~GhTi9v*dYq^J2yN!UB<> zdmg+$Wva)xE-Tu~)=q`b*Gz7n$;D)5yN*M@S37@uX!0uYmW1)Ek11a!`kX$pTMe*Kgf=huUq==hw1Z zSAPEYM#MNkTzlDuur0C1mJ7F8H0nK3wBLH}g${e=ofn&8XU<#j*y5mOnHpbl$z9fLwd`}1-lrv>r!^P^D`79^)1Y2q5`O?xnG44qABW1EL zlv$L0uRl~+u=?@76AZ`smc1#kHrl{bG3}f!^UrfTjQt*EDQkOr_9=4BnZG6H0s|{+ zUamv!vezd&qcq8Cq`+R$4 zwDr!;p1Wnm#L%xEH&%*HiTtU1NycQMPK#vcyTJ5~!H+iUhoamo|kOS<>h|F4?5 z_3Ouw?l&DOw(N7)pDDU?SUNNz;+o`3hjmQP%3o#(zm3@bK>YE)10ic>mzKWy*tY6- z#gXbG?_YPWy0TC9klL&T75j4}47#@UZCgF(+?RK0HDzaw>wK4{e9^0z5>~HY z3`J(mY4ge_@kPk{xJ|y_%lyZzd5)3cQ*%kP^iH|QPtCrB_mnj^G}@inW4rs`#P{+u zSIxa+b)2nUsQtr}`N>D~`SWJ(J$h{?EAOKVW=mC%i_0Wr*Xjf~J~uZPm-2jAKM28h4&xp;KSIiDS^e?mp=i!#hDXP2#=xh1UTSANsA zjhoC{+vXhnB6#(NnWD~>vq5`=C(k=LIW!{vRNiZ^^Y7Q(J-da)vqbaLTFx9cjV)|H#sSZN-yQzjd-n2FP^#U zlnd+oKeKFG^Q*kQ<-R{*dbTF>cfPZyyjQr?UT6QrTkq?pewSjI-=6RLGxIj@ zL6-j#-`kz%+8^X$Q;fE_Y^-^2-Ph@5-^D&B0kdM~3n~_h&wyIFsjN0*i`8%eIRZ zufxBXTo>XK`);*E^T)-b$JAbZo8iY|yuoA3=Je$ut1EN6dCi~icyWs9M2#Cqg}I$n zQ|Ir?`x8Y?rM_{CFML(ewq#54u1vcREIfth`ue(lKXOW&!|A3ZD#5yOf1$(qUOz=g zwY2_QB4)30JDqDD@EBgpP`;KYoxX|3RkYC;+5HqWsp_tkI9m8>5!?NXm-~Bz982okDov~bdhC?RnYh!e@_w{h6bgu5%xA>;dCzgB1CQ7bum)|KAzw_!=4hD^x z9%&ZA)~*(b>r>*Qe;&P?)M(8T;__}EdtFyzkx55Rn1s~i_$TgBFDDlFTJ3J$*8X+Q z()Go+tuv}z#0?|#E7u>qw4_M%Zi%}tpTZvIn{M}3mp;~d;rVd$myfKbP2TGN6uDTc8t&!GiDG9aW(3LsFegDSc7VhmW{5fS?48Nb4zuczn%)KOk)%h1ax{_bMKWXf< zEK*CM;-qa{UGu`NhBFlm>*DjK9?k2&)VJ|#?ESDAUR5@yj-EQ3zh%{Cvv-U=9AySg zdlGKUK9nT!_~FW#0ZOx0R<7)|klT9LD}19ypmlxI|AI5t`xG6o<%mk8CoQc$xg#md zXQwX{bJ>D}XRTN9)Lb@CpMP$h{yF{g>oVJujm%e{l)fC4d+))?l!;S+I5+KCUCJkR z_0IdtFFo^ach2oUd3Ys%3d7V*#q|zJAOC#Nj+}Gic|`ov{%I%vH?hd&iN$X|b4zp2 zL&L=lwp#ZrGW zR&Q*PJ}N(-CrMHF~nVp5;)|K*9uZ)+EJ35h?yUiUn+UoypSUwDN` z`Q{&YQx7!9Ugy5^>*;g9>1(a;JbkY>KURP5pQn%B{CaZu>^VM`MO(R3&aBz{avA&i ztJ*cMwZA^o^?CLqPUn=n&RPCHw-4_Pj<87lv}|pC_-^|RB651WnPwk6?shQcrl{83 z$+mmk3CD7;AM z>)Y*jybiCIDZOy|BxCJu^AFb}>khsYpJVszi{bL`^B4E7c&+-I({o<+$%kPl7f#=E zL+hjdJ^Nc)mPsd1PoF($y5A=wk@7Wr&a<=HNeRmyU9{NH+nw2)eetU1g>OFmoWXP9 zp!V_mnrq+wxXt-6Wl_xf1F^GCdRF=SiT+oUdpeV+oIml!IX0~$q7V0^HzlSnIpG{J zGuq}zmxXlQBnNSJmFL@3U$%3KBwc=b$)j<@r0qW9ZE0;DPXgC(biQ>eQ|DRO!*s=L ztE&g2*GyD8U^Dk+*`_UrlMY=HbkskXyynZa%<@Bz`x^?TC)%cPe(5^K_pQrp+Zl*@L|Tfvu&kH9ojrk&#w%rahY~WQz=Pj0mstVN1RDj zC#Ak~%Qaum_Nsq#*F;&XrI~B@*X5tPjla%+b@t?Pr>x# z!-dlG316Sn4^j-7b zyw5jzTe9}scjw!emYQ|Ad3Ve;w>c3ds5rG`f0fIP`&*8gKKjV=-q3ub!2gR~$-Ca& z`QpXfy+!O$R7BAm`9eK;x%?;Bx{mxiu3Qb(%^_y z|I*j3FyXIiQ?8hu`po>^h5iM9pWl{J;ZbM3{Bc3`N(m zC|%^l|Nh{v{*wo-0ykE9uWUChXE%54JJ4Nb`AJl#o;6|P=l1-E#j^IZURM~4{}bj^R^6pwv0}s7 zz5^x|x1ECDTiiO)be3JJWRrMaMw8a257+Gz9^T@p~d@bDUjb}Ii&)`me{3bv1{=J2h zgiAKYiu~LZuByJ$X@&b^wlg*2rv+b17auNtFg>aL;k&!@V{7+V{=d?my2Z1r=-#_$ zf~~h71?*+y&bT4ilD?(f2k>2C%+Q=?F*N%(1)Jr-}pr!4D z_L0B}{vzj~8~@^3X1`TtZT9=PR9ecRrGNUx9oci|xlNE}=dSzp@zY=Z>B|=`J^dxk z&~ocj@l{&3DkY-IIf|FO4vDoc(|y(WWhU2mvrRvboLn${s&gzGD}!MW^W|R6O*30V z@6Y)8es87DD;ehxv-4iDe3>9{LU8%a)+0WW(K=|zPo7d<8`|F@Y!be^z@_OXW1r)um7=ob@V^qk3L_wKAR>!X}|E+ zSKV7Lwch>U5EhY_ljxTCvzfhg$xGh*9K3SdTU+(tjsvE`pvt3Y-6Zep)sSiGpBV=;?b!4 zUym-&$!Q7wb$PSD>3vRSfufws`x`o=4@WJX9rqr3^IW~{o{F)vtYTb%rsn}vH#*W50caK-cL9>bpMd-wdc4%S62tT^$&Wa}(J#V{v7 z?>OVbE6*%hQoP38XTrbjdv+!+(M>2dbGV=pa&aG{=R~LYd;LjId#)#+e`A>XKXN;3 zw^TyI0$u*(=9<0b>^GZUeTiGQM8q}9+w9UwzJ&d2({|(t&hcPfzHEExQzNEMAJ3DK z)nomJ?8S&kPYb>+vmtBO7X$t+-ni=Y zm$VYu2kPe*Csu2fY-%-;xq5$+pOf#*1xH%S73yZ}WqquWwsI%q#GSW{^!;=XCge^( zIrnWt?Y_CDcXB%A?`LgXec*FIpn20l1u3Jb6$yDCnM8g+QI8gU^EW1)i}SOz+0A*p zrrGE996Il=Q0!Q+@AB0J8><)iPl!IlaqQ`n_Z7BL8z0M?3Ez00@Z{#Xh|G<;$^z|M zmYr*VIX7$5-#lHFw>-Y$|Bqc;`)rPfbk_~$IyEj+z9akV#W;>9Y8;-vxcvRp&tGq( zG+P%bzc9*sSJG^H`H$J0z}NTg$ZTQNWIdp^V*Ub!BfU~9gM}V2b4E{nD>nOLKxW52 zLFCNW&4sZEd0xb9D!`r+c8oL`IX-~F1mQ|-gUE%!S&+-CIaw7R`=d)bvEd97k; zlXH(bEoMIv!gx%<)va07hOa@y#&r7XVD;*cpS#1;FJAU*HHpml`tG{q&-?!a)m}(% z7h1Vsvr~-JlTWXAOHQxf-s(>|4MLXF`+h9n=wAMIf8izb zRkJh}1O&!TT;t^Wx~=oc)YVqb!EZ&17KDQIo200SlX>An+s+0CYjNCn zRo?dL!QCr+WTf6b_wCVDp1{U*TjFKx7xNS6YlT?_jAa;>ZeF-)N$VAsCoaquCr-GS zE{gAb;Np2WqoAayq?so`<#oi~lWeyPJ$edSZ4EA#R?aKVxLvt!^2|y6JA*g8J)9$z zFh7O&b55dM&r*dRws?~lR-D_I*l%oj`R>)po{xQfQ!d3MP8W?lK9@^YVZwsdBc9ed4V0>mN<8b`@v-{=Ldt z{y?8_=;c$dC;fJNxcaNq+-g&_v@>ERV>r{b=SFsop$l}nWav>9K^JAp`vP(Rtt~I)wW)S`HR|k=f1dgb?s@E zrJZ?3oY6f`L;QDW7UV5DR~8okylFn?yVJh~3j4AoR8zbbd|kBc%z|GFHkL&{bG{;+qXupRSpcvf?UlPC$ZJRzO=- zeEZEuR#G#c_buPT?eh7e&*K@r3>?9Fj*p+MyvO=#i-l>cie_=8cVV=j){98C#DYi8 zLVmR?jux1kN~+G?ti4&M`^uub0h5|bH#heOOR_W^lJCC|6yiF;+I;oW5N`2@3UhmB zw{AIoC82*&`tCDw2maLLdOpyIKm75})Qc)dKj_Mxe8wrZW1ei)smnH23DYiRZVoij zIM{Ppbqj;cvMFL`?%s1sUu}BYMS4xb@h>}`ZL(Qg(90gj?dSh%4$~&jpFMMz?o>1tUYi(wVUJ!;@oA119}lX}uL*jv zzd!GEle&tsRiMwUlAueiw|2;FzbSZ(FUeBK=uVgE+5KN5cJ0^M78-eM!`;q(%hyi5 zH}40-GHvsY7o3}lq^4Y&BopwKFJR7(cb2x{dzH01u6s_;uisPi(d@3)+_{bME6i7W z-+yo^)$G=fI)R<%1I-^6xgI*h@hE1~0^Ku_TTX3Us28wzvr{?kN-}%bvL4;@=bw^HgQLo9-2?xVTrIw?F#Z^4Q|;^5s`2Q#`1(hRC)AR^ zg=@I`@b6A;YvSs^ZNxq8a*xPg=M~%{O429!mDX&Kx$o$=#_ev<7wvHFsfO3D&kWn& zR&?NrQ>AR{B}b*xpUu{(CFo9`IV1jm&A(UeGXxy%TneY3QJpErF4)|pp?$pl)QpD@ z6#0+(Zx5F^*{6HjrC#!t)03ZH!{h(GN+^1Lp$Fp(OA8( zRn*W&N;hZz-&Z01XE$D4v*1?Fv7QH6J&Ig;KWDCrY4jGmxM4wa=v@9!H;?{oc`cWI z?f0*b;rCtIMdrlqa(n-M#?IKRtIRu}y`AlS;@|tI=ec*USAo_-#B!E>c$yMEl< z|22hwn^v{lHP~HM%^4GKw=09;!;dXg1KdmdN zFTBUMHgQ4P<`W!+V)T9>PT%BOXUckNPU`%f3NwJ9wrU}oFS~S(C$LIOvxgY+D zEq(d>`P;ka=0;VXP+RfP@xky*>NXI)|Ki#A%ElwUc&RUgeAzNSJ#=Wj}-+Akww@;?zeM~Ewc;&vg+O6F6 zc_)=}`Tx}(I#}9O`T1;=`20r~Ynt`%D`e-NoYS*^hsn1UcLlka)Of;+t{pjf*1a*j z__EYv@3vI)NBTD}B^>;b*d6ihOTxU1mLhr~djqd*yd+p>@*p{W*Ng=>GgYl?GK~|z zZM7FEXy9eYTeTwAu{Eh6=S;28q2hygCGOum+N8?rmS}z_#OUJ9(p3+yIEEJ8mnv6~ zRj_W9-OXQiCivuyJt9vo?{@h;uk?$@hut4nwcqz^e)V0V{_SGrR|oHzYqK3{vQ3Wc zY+O>vvSG2>(*mnq9{a34mS3Nzce(uCVb>owW=LuL-I8=6+D8`}Pm$2s zD=u{Yllt>hIiCXTu1oBUESn*x>)|8dcV@nkP0YUQO~0DkO4=m?bHe(6-MhP4-v8E{ zccs4;_|95tT%;sW>mt6ezwqFtm%ox8EaCA{*>KWtv-nzzr~aNYZT`O}EpO~f_F(A^ zahdoeR(^}MLmAUtH~m9-fnd*U)-kB}tP-+IIl4Yup(ZTZsz=lM2BSDOZWX;qH0&y%l6$|1x%yy4~^yR{dk^?Zb`ktED!?K7V8L;#(&FG8e~1QZe>?vWKs4-?~Aod|!G4 z-?pC6Lw^2?PjG7%sBIUh@O5VJY~Fj|hyS~oAIx~ZrF&W5`gdXJWVdCeaXp>?QrtEa z|5z;~Wc^@+QhNHgDTM~5Ry;M5q9^h{Mqd9a?Ekmr%$|o8cm7>a7ZmvNc`&Oro7hf z-`}c4!Wowu!eX54ywHRj!Hgu`1p2O z3U?~h-tuw&wmnT)Xnyj_i}Ti{2iUFt9{p^6M1S;u+3n|=ryiH>Z)3iuSGM!>qz8RT z=A5-whW%{ovg#M9zYF{vcs$_p|9wwbvVO2c2hDBU_Be=l=lUbuiZk8Rd+LLHJ=+e- zz54Q?RB7hQXD;GZ((Lm*6R&KP{^uw0ev6ddf~K_}<1{-O_Df6ry1Tj$Z`n-w%TzzLc)aN~am|?TA@WszrCTWF1*>^fJ->;SXXqk0ld1U*{G$|{U z`JP(@Zp>S!HS5zYTSI1x$imh0qRxJ34SiH%Zfg*GM-Q8GDO!{NCc-v0z^voirdcQXNHJ;5@YT}(IU%&dL-v2|hWbfm1(r^Cw zhyRK9*fQs*^0{e>XKOtw&P;iwT>?v5Ul$5t;7-S97VZ<*X8OK{7~Mpp=QO;+1Bz`ejO6b=TUF*&{VtqX}SE3 zAF{rSjcT~tCSLe4*({6EWwJ`j`4!F!&Ck7!xqjznY|!R;pVj*1&5ny~t$3octK;{d z&yTj>+J5k@S5eK9;6I=5D+qV$d&Ers|MPQw4O670<+`n}jOwLS+`e=D;Z5|hR`g%; z*ox0ND#yo@^VNk(;f+6IbiAVsdK4a=c|B#_s(Cfn40bIKR{zK|ul?D_GhgbuOm})M z+pfj;bzbkO$#x}jmW8iF);-Em=U?k7Tt4%a&xCom)87A4tC@4YW&PPl+dMbC?3H}0 z9_n|fV1Ln>T(8F;9S`+a*4%mF*~q)j`IDf)C%IcKk8E1%1A5b5mcH!%buwn|sZaI` zS(i*w53879p0{|%faHr?5%8JI#Yq{5XoOylKQunpU_D77bJS*Nb zy}dH~==@a|I`5weP~Xu%TmN5F!mZ%HWp4}~sGYsBtzwheeTxqb_jYuv^6%`q-mLeQ zcQW_dxdu$_$M?@adPv{mtghSJ%ngU^Ys%SKbZ&b%MNKluIOrXz#nO|J#p#g2XA9Q4#~02h@f5g3Otm>M zW48V4@+W7NbXFZcZ?#h4hTm-qRgV?@msiQ!6_ww7>GR-MhS1gcskZ)U)%>PrvhW4a?#`UF%~MxkW!Mp6qmWwvt#+ecbbV*L~Zy<<))~xE?l^ z@;GuTSZVgf8>*9zO-#6O^mk{p)$;0pkDiO?$H(uf{CMr|$@SO%lzp8OJ>ysYGj8Jp z-{b#B)o#?<_uDwd?wZ&Hu^r0|SnVVauuE0E=6LX#d&7*a@lx9+omzM0SDf2Nwj;#{ z!$rMgs#^OK{AMa}|EU+-@h|S>xd;7*4Li!$s~2=|)X(_&FNp1$zWhV(2?0DOR+~Au zEwZj{44m7ul1q5?yAMB}^w;YgsbXz@A08ei9$GQ2(YfkDe9}CR_m=VE=N~_?SZ%(t z`g@ex*KS?zwU-sS(hrM>Uv58l81|F>)N z`;r6hWj}8GDc59+d-*zvw>~1Ef6cM-om-S#B6-#^PX4~C_|aE6xo=|guNZGGn%?xi zFzeW=rng%R%3aH^Z-1ZuDkyzt+{UZMA0qnX|7@(-8S|%2zjn^qZysB;_w(wPFOp4O zdUS_zgl9sB{{B5T|GKbARK)Fc^;^7j(LePyicyKoO+U74-;DTGR@D&mz(uM1fBuuG zs@umJKiKYXI+3{Xz_!+>?peDX8W)&~#pcXikk@T1A|T@3H}zD|wMmnHOsK#8r*&TW zK1I!sPfPsk&X^xoG?n3NclK0l$a?Zv+J@)<#?RK#`)Xopto~P*9!lpjia2-e?5e#| zd`Dzr=XZadq-tyym4AGv5&Uo7{NzyF@EzP(CP?W;#^@1&{~`}ihV34Mw_@-pIx z)14*1CeJ>oI?u_h)k5BU^^%kNkDu*3wEvh!@M7na3l(qIPW!oFBCC^OcfaIqiKquP zXO0}Y^0S%WaR<11x`9d%+^lIq*LDKqApPQ)?icL%C}O))zD>U+fB zd8_URf3=o!XiI&){Gz5ao0O3imt^LN9~v&^GQNFIYFtLMe@>X$a>lCE`4^u|tGeQa zBW%7-lhpc_Bnp_8BrbO3aQkoN+jiSz=}INv%Cggi7i@J|BWvc}E7a-nU!osq)V--J z_T2=Nk7Aj2+}qFou!+4W=z6q9^tjlx6TU9>SZPETNc%wO+qgq<8x8Qfh?-t>YyY(0Y0z=xC z-g}u6SkT$L@6&~lsl5+Y2QGIDN&bA_mh+0{i?^Q}wb=_gPrbYRHF*F2w)*FBSI;?H zz7h78kpFTcIc|&1GxeHV{#({}eG3hrve{D9BS+h7V|2nDExb<-F z^h1(c&GsrrX++wt>(}&_pCIxwE}X@4wZYElx!X?N-FGlL|JSxusci|Wp%>k|F7@R6 z-y87xNy~jPhs&AWQnN*t{w>wjmad<&%V_;NTdV79G&*WxZaQz8_ITr)*^BJIK5;Ef zI6e9JlFKPm{xSJI``q5o{c(0h{l7{@vHvl3QES5F^`7K5sm(if@?71i`y2l+&$M~F z$64tA?N4X@E&Vs@S?YXAk!sYjTa{&P#}<}-PMu};h65W;ryrct6ZS$W+1D!i-NTq? z$~M{itd0bhY*`<8Mfz%EnT_gO>sa@i$%*qPEK!^E{yJ;Jt7Wnc9>%`Ocd}N;`WuT@ z#W77e!mGsc=IP?jqzkw8ue&nd;E2kY|1GP3>uH_9n(lKC4}~4c+R*c})=`h=HS>N8 z59Y1Ba)R8+Us}FDljl9Oclu<?vyp1k<>j5+g3EOaE)`HgLbW zOgkt#t^M&uS@YWmIQpN@v_3W~Q7UByo8*VQT@7kqCgl1WbO=xKJ|{4}!t>aX-a}r7 z3)RX_@wn6tkA=ufLNo{!}&@#(K9ypp}yz^J_8dt_AGLXlMx7o^rtWb%>vaidh} z==r@5U5?pox?3sV+WK$Fw2c+^TMhLt>bFmsCQ=Pr!-cz!9Wn=|1>fcq-RbMV(c+v$xNdWA3Umi#B|EyXnr4-i81>f6o`EpKh|+Uw7r=>2+0Z2fjW3 z`kCoVQH@VSA74M$gNBb9+xukuH*Nm*X(Nm31pnIsC8xJu({ZsgjOJnce)s67_4=pF z=gLlb`O2y;e5$#Q@ujoZPn2Bn%c#yu4R|^`QP|GQ>ev@2iJa-JDW}ahK6$cb$I+@& z=i>}NA3L43;au6zU5j|1Z|>dqQQGyr8OMU~w^w_)z8U{H=fd=?XYVL%>|DHOfv#qafo6pKF3t@{r44u=`FYy}UiT{e8C@z|qEX#mz_L{Q z(b1JQ2RwCq-s~>1SnB%ni*2RNPo#;`vsG3O`KfQO$ul!BEW$Wy0%?|XQKF(hmRZuN zVX>g2CTh>G7r5ySK5D{LuA*()A)$~vvkqBxrLFFZjxJNRe68{G{qAtToTHvx$`kHX zmz=l!wIj%SZk^)gSudx)kK459LX5^bx5Z0@I-ks%tbNi+%(dQP<-F~jA5U&gNj<4@ zKv-x==DN>b8k4uG+W)W)I(ObPwAfIo#VgK4bG}1G+1u|W#}yj$ySLovtyfk(zpLh< zzE(7k-*qT#M&8!{?9b8y2vE=p3Psw^^A2p{t zPkyTzxU9r`=Wgx=!Uhg!MA!r4%v`NiSv04gxB0n5PC#$_*GbwrYZG-3wBO2otNF7p z>14d=u8B1fTrV0cqAQ(tD@R<~u>0-QmN=Oyk1rfpu-o8~YRoxLrz1TbKfmph5HRT2 z@4VeH$IW{FbX8lY#$&HF1mpwsth#nsq&TjLnx@*g)Ng&E^uo8dd-h1)K9K7u!okCy zWPB@_$N6l>CN-(ApL=d?+-JAU{6xh06SqDwY%xE`a_FcwTlSmtdNZxJP5OAvIOu$U z|9MYa`4w*4vbG3!SxriIjNVmvqgv3ulK;KyrYDm7{_7n*uvz|;Qr`^8TWU+*zSNp* zn3@uMSfZv>Bu=Dq?dK<&ZH@e_@%{b&NB&>qTM<*qaxX6D>c<<(*?+emvy0zRIN?Qa zI=9Zt;3;!O65Ea%aq@01kk*|oRJSZ9l% zxmwA;w1S&~k>x8R0|Sc)0|Ud_u+w?3%>-i2;|(MuH zOPsxvyA6H0RGuC&_!IrN@n1yy6p?7hpp=VqP3K6?D}Ltq{{3N#$876Wq z@69WI74k5pT}C%cz`u1)XZ^oX+WI!QqwmpV4ZD2}^P>V+v!?#&(AE4g z^EOYuDnIEE%vO~k2POxZv1|?X@ex=AIViK804}3gYVxKu_UEN5KX;Vax_UlYa>4l0BgxB?u5R0x`tED|{nckp z8Wz6xcy8cjw6rB%QP#`(rK4}+>~(KidpcR?I$h58iB+E(usPIuLhOswAKE42Pp7<^ z7{r}cdB`PrYn0sb#_8>+V^*_V{JJlaKjKp2Ew7lsWDlc>_akf0=PaDb!O7|GB(?Lx zqi)?5^-@y2rn5zFTuGg6us~6K(JP7hyR&jvf9lbyuYI7je#)%dvtFbw|G%`9ZNG5Y zww!6QA6!`(mOc4~n{GEt9){qUf7v4ey`+wk~bL;=!{(W!ywMvG!W=HRO?Q%9U zPd~D8an>Y1>+5Q*YtR3hvTwl^8$;fsSz!U2n`Fb}r1z;bT{BBv5~`NnD7iG*_)oy~ z;`Q2sPdg8MWnP+=());QRY6E>mXuKCdj`Fk)9l`wR|(6oub2C}JO69Z_1=&}FH@!z zv>yzX7Sf4tU97?5e@-fA_N+bk-p%;QYJ4sr)4p!MW}r@uPf69McN%-2mI(%%(KVqqTOJE_2{tAJ6^o;Isw1GjmJL1MbJ^vhrSi>l^gee2Sjk zf-RdPxB17)#I-d$MZA+*ev5m)Qdn`p)Z3XJ_g8)4GL>(e>}I(5TcI`2;tsb*5ORV?t!M6oZc&fe*qegBx4L}XR&R6q0o zE6;CO@ZVca+p^s4Z}f+0N6c6LobX1B;SGbv|Hpfd-!YMN6EyrIj@WhEo^9oDlDAxq zE0}>{-9<)hWm8UN1-NXw>xQ*#Iui4`Nc#BHfA;V10AB9XNk zVslfpJvK@i^Da1gkjKW>nPc^(Y4ORc%i@#c6Yd}J-*mrxS9Kag9Lt1n@Axmzi2nYv z`0u%wmw!FI`6~a_$%6~Mv=?VjURjkkch-$NGAk}`3i`as=#<#xAj{+{Yu1S$@0Zt~ ze!98l>$?SOmi12-tn)pUwJ!VX&5O%VX5=i}w&TR9Ei-2?>bq{d*f>~q@vS|pFUMFf zFA2SEV*as}_1XOX%DWbuFT7kjZ`Sv%bEUs4O3qY@u79XxEPVILSJ#~@aw9E5!+GbO z*{YlMr~IPGHjmG0#y4H9Hdlttbn-2E_rY&ncV_d!shZ1nmTrD`&UHpu>%qwrb;W#h zySALkF$~?c@^p%cX7{^mCi=&%zMJc>Dq7e5E_vs3laA>9q3gxcB5&Rbk>-CiORXyJ zbLjU8uXRs7V%oF&LARdX(eo45#ZJrH^sl1Hyd>|+#fOP13*O!Ja=YxMpJw)U;!UIN zD>we@R=E4EaL3y)*Hs43ZuEIZMxEREXU+LNZ0jCp+=|`1D2w&y z>gj*F^$n`$nr+=Axvr)B)%5oEc)1|$%zI{g(t|pTjJb8B&Mncq{O!9_cvQ*PCcZ_V zOg?U2^v?cE`Jc;SFZbo2y0xSG^)~%(7R$4H1g^2(Oj))&>H+iq6=fD16!*4lJG3+5 zNMGtfBeQqsURCOS;$(AOJh58SV#Qt7y}8x-IeIa%H@Eb~PqsW*?G|sTw>h+W;%m{i z(B~l=p19PeE}R^ZvhJLA^08ezLN>(jC|&HQ{nuxI;PZ&ys>=@Uj|8?gG_49xo7sKr z$A9;Y4+1CISX+m$U;Swi3sCb(x}Dnfv1LxqD^_-~Rvk?sAd0X7O^# z82^P=rK?j{74Br_70_-H3@;XYT9J1tk}-AGx^42$cQ+YZN3RdD4Al49uuQ`IYRPZG zdHjMIpOUx!JDSN?`v2YS%|{%6OD%s9V`ll;%Dsf?=e%rgqZbO|Y*Q!K&opBXe4ra& zz4_kJkLwfLPcC;Ccr*Xft`>Ef73%F@)|PW*zFBchASIAZ`7 zzHGUFz3;uim2)N*aO568WTopJ;%izQvbou1?s*?`CWd1>Hdd~ERh0F?bLliOwZ0pi zF#*fMp1n(}dzV}KBQ4YD)*7byxm>T)1diS*d?Y^AZ3W|s1Lg`zdDBu$Ide->gO`3R z6zyn?XV(8S+oUT`Qp!qfnM}tiJ?8Ko3XC3ZXCJaE)tY_mI`Vt=HHk7pbDoZYur#UMc~gMHhBnf&`4*A>60xH{h| zFm$r?^P6E}OI#G|p60o!SpJp0*j2rhf=Zz4oI!SM1ZK4-2XV z|GX}W)_(J|f+L4JRz4?{U|G2aqi8IOAgljir=GG?5HcM`0+); z%(kY`s%JCLVV%PUrx#Rjc8}XW=kddnA7;-BJpR4EFRxnuVt|SK`}_||6*DyaE|!0k z*>Wd!B||8~Ot>=pG+_@8RwZ5)XDw3MpBg$e|FK7`9`DtFoiYkA3^Rj$T!h<=-&j!FSvF zCyu_5W`3QT_1fy*mU|{V(syd419q%AA=|MyB=>~jee-W!JC?SU&z^NCq;ATK<<|K= zX_p?mZo0kW#@fcq5c*YOL#Eb z3Y+UEzT2dRL|P?2+wUPV(b(}#Xo0a`O6S2DYLz#Y@3S76o_}znL~HC7*Zi0WE6x@z zsc8`cjJnSs+&azlV9U3IAM@|enHb^lOXh%OEt{zRnO7Epw>7=GU%N3#Uv^p=5|k#m z@W6pvM`RDpRGb+t-g9T=$t6*?ud*BuE5*ww{1S_(FH6|;?Bjm@%RBw#)1PiS;XQZf zabX4Dw|w``es;HZxnkyY?MTlQNsBPyJKJo8RpQ0&%{`}4!tBx!VzQ%MZylSv$RD2% zr~33BUp{Zw&-HrB#ShCWP8kWg#)`3Y@8ff8NsPG4r8nVx*fCqZQxCuMvUodvJF{Cv za`lTtEMAxTeEfaO<4?z52%Vx;w^d%TDAGBzMz?uNEc5k?-b&WBpPm#jh^~(`YdpHM zh|fu#Gk!Mrg(mZF3{3Z}Ug%wj>zD9voAxSh#`n|ucEP@hjv?kB%j{m(oSkE%%*^lT zruVRcEB$%*9`hdxv-tNJ6?Z>z&pQ*wt(H3BJlm<<80CU%YYj@I4(hsX-O2EKeQ$Kc z$CZDkOpg39>8b)7tN)C6PVraG=HW;~u1;~05$YMbHp)knAw++Ke{^iFi{Ne`9Y z2Neqq->y93@59Od=2X&!?|P02uV-~~`?Qswjc64L<^0GXHJw9YT4!FdT0(>HkG}%f zZ&^;sFL4ZIxBB(z$800xBMyfxZW^4Jm{rgF;>`-_M#)K%Es1kyy*|S;+cjR>X35P7 z!G~fJZO?ON_L|FeOf=iIM0DzOrRJi8UaTQfGp9XJpU+wuEE#`O=m^7si+dh&e^Gs= z*75Al6WvXXk{!O+cK%7%RMniEo_*%RsXfM-&c6G9{?)o&QX^wGZ3^F{SoJer&PvVt z@4HT&yzidh@uuWo4x5besYub9|B64|f9K7a991bF#cn;h>&9;bua#56&q%&^*AK0C zpY@;P`8&Iv;`Iurr(axNcd07hVtT%QU{F_hDpYfV2B=W%0J1y_58q8Oos^oX5 zQQ9c-?&}Xdp=(9YKF_|?{Cns8cE;Vd{}&z-3EJ}@{r8tE>(9lN>CJo4b+GcG@y8kB zTNJhzeBjeV|8W51SX?>O-7viJVlfjOP$vGQ*!3+;t5>)FMW-) z_i}l&z;_oxU<9>Q~d;_Jk9$g9xs!S7(YA&#_r9v;my1?1e|^mV zzcRL>zJ2!3<9VODi%W(6d~E-}%XsO&V?RsP)7R&yWs24K9<*JokoP0&q?&rF)`t0F zy`I^|x~qBDU;nkkvD>b>~(&<>rs%5fLhUUn7BJE_#*FZ|6ZY{z<*gTGxb9}ayWY`cZ=T;i;C-#oVR zPvOwxnR@5Lgck;hn;Gxezuhbz{r%3re+`|xYN8G_|CklfJBFbhy989Dr<^|f zcdo40`ngZ$?Z50&u`YNY`_-iUa$kSu4_tH74ql25;93we@qP)DNJo17>p4-|<-9ZQ zGHhDN{@VEOpH=a zp7XQ=^A5ax5X-vx;H_z_#!UQu1^!9GFV?M_VI?TGai`NKmT38$`_WA|_gU6@eptPm zv-P@Bvd)uZm3R4^|No4rJ-bNo_;lH4(J!8U6IBkjK5n0HfBfXeU)TFte&*izSK0qI zH`e!u-Q`WwSBjVJe6fT7{56BE8!x#yC>*%syiF^6{z++PmmRYe?wwgVbrNT8fa0bZ zA68wy$vdlTYR}n2HBNhb_F67lvo`unUeZs!s7GduPkZnC?wEJ6Tza93+oPRJI_k8O z4tF`fNZGdcz>+#^*OxzU_(?x{w?W;^`CK;Fb+!8kmO3o0v9?-nW>R; zeEoLzi{y^Y4>@K(ZL?C8t!?Zn-S*fmp4&biVi0~iLvnU?M81q#pHRlln{L(jDmUmU z>{ng;_o+*6sGe^3+f(=CTemQZ-o4?nY3i$ccj`8Me^l~cJ^!&S ztvhCQAZ^-(zw170IT)GkQ_fECpWa!$bgy1y+P#H$_1_sSpPFbo!8-H(A%(Zv|JI$q zt}JO_@M2DBh%?l{Ed%>dg)6YVLiF*Ti_s=ZS6hvc6o#c1E?@m0|LN<2*i- zWUO4neq{9g-F8@G#=m_@L{V);~WjoZ%OrUmff~!wKdxrwqI)F(%aYGFTe2o(T|&} z1CPF1wN6Xt)y>uX`)}<%fADqV!-;~9HL+VJTben?p7*UNzi#GU`XlDm85e=#J4(-G zF8vDsZMW#xZO`|0A#OKgQodfx+%|dLhJd^ZkL4PXcfx;PXmIH7s&>z2GNi3*GC>3bh1bMwHV`-^|C`M7#py{gW}{8yo`oodC4UUW~?vn|}p z96xo-o7s9*x#zyjyyKZOBk9~$Z|VNl70(tuj4BhKwpldxMp{RL+Hqz*oqF$I*LD@g zmp2{Xdelci?=trRH;4NI9oKAY?yUKc+kDS&&+P98=4@rXtX~!hJrmb()c@JD{OrA} z41CLS=hjBtKOSk3$Ds51=Eu(#+7EsR=<|I%*z|V74juKw;>)jBNBd8ioU8I7`jBTz zm4L$T^pcBtMy0QQ38rs*!p3KxDEMVx*xk(UwY^dAdeq;$UXpj)IrGZm@2Bej%I%9? zZ@1^Xy-NPFfWP_C_5Q;0ymf|B8g@4>#knnhQd)P~pk~8egLe}@XkB=geBnj&ErVlk zt=RSpy+7xBcb2D{G)r2ApN3Mk<;4k$oQ%&*^L@%v{>x$B=Aa*cyj)J!**Y#+y24I+ z!J@na-^_L&Ql7ynyXDT^cQfTb=AYl8Rh@|}xZ)-Bv} zwt3y&oXe{>ng)p1S(o3k=DO@YFR)5vnu1MU|MuV#-}QC=wq}uSlS20Auif7{cdC!y zAtRZM^PUQZt&}krjXxjxIP%HTx2C1{73NhWDg4}TYg90wXB~Uj7ptt}yQ1b!aP|+p zGy7BOlggqQTQXu7@%5VoyZYq@ayV6;731pt^XT@mkL@fA->+Kp@_B3bvZfU4&9^NY z66ao@p>cofl*8WrCj%aR&$QZl=U7x6Be#BUM*4wIb-X9{hOk^`)D?SnQuo zS6_U8`@j17diRtaZod2n>}JUHCzUT-K6TTSZ@Yi!3E!Qu#zpei6BU!f-RC$YB6b~a z&@K5ev#37*==#KBz6urb&z{=xUay6g-j~iR=4Z><5#};w%gN45Tl_X&mVEB5JoO{T zW?4x$b=|5>RwrF{8@U?nTk&2+amK;6SFdNBwzinn_-gB9Z#~hz`x_OHmEBFa%lBoL zdh7Ow=j#6Z1nA^{$Y98>+jsWIvZ8=H0`FvR@A>%phTan&N5x7DdH+2s`+~blA8p&L zaBcYpyGkp!kf>xIi_qfj-7k-R`jKn%anJ9a(_;k=>~yi0eU$P)K}9i6QE_}0@6$78+U&;NP)?|ylKU%dNXI4*zf{a^BS%k^0f8?^rS$E?XL{r_SX z$4TuI4%-TC|M2oUJhb?xAebQa)kfjTjWEHl$L`-_+&q76Z~6Rl(|Egn%~jeJvA+NN z17qu_?^HI+PyOqou+=v9{<*5xil^ruZ`+<6d0_JQ1rOI3uCk51KX2aa4Poh)pHGJ~ z|FL{Hf4@fXa^{0G8$PblI>o8-b(inevT0wsO+|P1FS$PTP5P7)^=J3;&iX4pGnKT@ zc*85aJ?G+C=k?!;!k)#x;JB0ZJ!<{$Dlz4o49q2r+SBD?-z)ptynlb*EMG+`@xfju zM)~)9m`+Hq*gqr7CO}G1nCQNpLp%7 z+m+77JdefUO5<$brF)b(&n#TNeED*If8qE|3A#KTHyf8a2{;Oz%(q(dD_ShB>igL| zF20Q~Syt`P{t~uv2iwX6dM{2J_p$d`o=HC8`sc^QeZ1Eb4|BJ?|DNxu#h3Z%Y1Mko zHVb3P3I7iHSM^BDSf4ldq0+om(dMg;xBd1g^WX5QeN$}v;8W%XH?G;K^Eofp7Co>y zFzepsT-mE!*3#KtUglDcK&s;=$wbDrhij8p=G(S^=2@;)YjMXp zMwDsy)9Y>5t%{yX%)5VF`B$ord-nUCAH*WA$IU6YYj0I_?8NzZ_LJMn@5WWE%i+A6 zwlnum><+=O3%vKA=+-RmpL*RQY+6K%<)PIXeACu1=&O*v@}qmt)!e(U%(h3duYPdz z;HBd8ijC6$7p`-8d|{Paqh`THrz7V-m7KjD$7=ZS!TYYq{=7S!5*f|=_r_N)SNC9O zSk70s&`kTR=I^*uZ1d;tbx`8hHPj|O4=Do z-{Z^m_t!SxsNTO^=yU3l=-ta0j~?(d`xoL-rEz$by3Dx=Q4-cS_I~8}T@ft( zneEplU#k<(^n6miwtwT%oNsSlzxCUj>A&6oY)`XnpAo-m&AqlOJz~cK`K$SlPl(v? zmUF_olx#~+?ldEXxp#yr*R`c81oVFOcl~V9uC{wlY2K{0v-gB2S&NnhC$rw>+#c!7 zI^+7=vZSrYYLeat`e|!d9htd1;#J6_=9=m~XG9-w`u+IKvyH`hTyFxdrOwK}xjk*} z=ce4#B~?{2o^8E3{_a}_;a%6a)v8w`(AlP2rH{Jmj+jfo!Fs0Lu9Rrd>Y^N z|F>%9#Rc-L*)vBc{phLw#Lv@L|5;w@7`E(6TU6J-w0Gfurmhyu32iggoOAczGfZP>~TK8smjd!jz@@XIaBD3FxhR*j{DA4Ecmp5Zxa&2ms~WA+HP6-^{@N26EB(`c^a2*x%BPP=LCzR>uSza|KEH^!|=W0 zv0r;Xt_(l-vFn_wjo`rp?+#k;J(lBg;;cZ^CPt?^)(Ngcnu;Y;?-Hr?Cq++Lq2vF?^dbzrIbr8f)`!ROb6?p?n=#9C5WZPmH5^@CEkf4;m2A#ggu$lg$q6OMQ$lsc+b(=yULHa{=n0c%IVMbgs+DRl`to*ICW~; z_1?YLw_4O~_e(DkSNa)$Upc{dYoFt$Ws4+ZUZlh{$6q~Pykxdb(6RQ%^SSN+tvmNY z`%O!@n$44t)%K~m=Z)WNj<7C%AHL|rj0GY`c%P=7zRnuHimm*N&bk)|CwAAeCl&2u z(Czb&7nRn{IbInPQ~1}y^V_!#&5<#uIm5XN0zS{Sk315!>tZycUC|7=MO+UiNOgrT z6YkG?$^V9HL3FlEpQ?~o!CvOxdjI3>7ryZBH?jP4oQ+v5WuxECW4qpeDVyb*kUv*n zqc3Fg*W5{;cCsJuPMPb@n_OV@vQ2EoseNwlo)=BS%*=nPehBj5*WLPk-&E@}HaT~f zeP6S6{rg|v=J_9XvhuA^jXt(F$@G(k{aeM&j=$74^auL}`>p9IS};fT-bBfs^qRzr zzI%AH9=N)nFE7^Z>WvO!eV9WJ~KeiMdn#IrL za_om1Uy)p#5p&eblJ;ij4XgORTC=FkJXThwm_9X*L$2++%ds13dYwN#j~E+-=&UIg z7fM+>H}zSEwVy%ywXBpa@>?pY|EU??rTYw@dF4l5QLeq8UfaN#Ca zgRX)Ht$pYInmNsq-p{%IUizo)jW_-!Jx)06{mApz(PNi+{ipjJn!Z2x&#`5$ugmpz zvKu@Tmp;6}o1JIgq;i|*=1anJE8bm>w7K;`qW@uc@7|yKCwIJmW;#ng?%9hg((RuA z8{hWYsU~l2GXx9k1`+waD)rnf)-);CiUYP}LY@zWB2z1Xd-ZaeS4N!nA~wzuHe zck2(uF}!j`U*-sJ-}JI3Ou)qae0F%nE3-LUFFpNH_ex~f?x~S4H@sxnyMN-kX~|L5 z)$`ZN&zC8mP@$y9b=-)wq}#=u2nlDpG})s`f$cy_3YDz z?bhzwpUz-kxbxY}mnG9nAI?y(&OU8;zKrks%;YUow-#_0hi=;XaKYE9mgmc(z8`fg zuQC5=XH+?-=6(Ea>ua0)pVw^-cV)eG_N~Z%UHO$kTiQf&lJ^~)8d)?yb@rMWN0wdQ zwOr`Jt9DiWjk~Azom(ljE5@Adl4@V~z8S9@_4m9FsVMrT*LBnE+Lv>W^dDdMeSh`$ zn;q3Zmv2^MSNxkyn|N=A5QYN@%?f$@$<=atE}U0Z>-HOX`bGE z&Fn=^KA;|Qa!!%6gU>wIXqg}VKr~E>_WwbD)IthxAvSro6dgr@A+*$ zC-pw=VKU~bh`eQb_CSoRtf!^z9jAbp$)QbcxeHcT#S~4x%J_(h*(jS!?ZUq<^&DCM zUVqV6b5@tLk2k$lyBoTDb4Ft|<9eYv1u>ON5}Up69GF=%$K%5XRtZmybCONRo@)E? z=5D&?!SR{rhLuC;sXv~Fl-F-oHF3_$*mA97o77{EDbF1kA18X;|GxM_|FVYgIV+^) z{$9G%96l+=X;YJOo^NKZuhX?#9kXZbG2ij`^E92E%yVz0a4Gf{q%s)gPI~@x)~noW zV)uKGN93okE^d-~AM2)_JYUengIna(V&NsF(FS3g=38!_8g;48;tg-?=7pIrrw0A! zeQWKydD)KgIJuQ4KJC)to8&jw)LiE9OSzauC!d~7l&f7ITkiZ{T|Lfwdd{oq+8VPb zTLrScWq*AAcOGAnV% zv2F9=z!RHn_(xw>bAd zY807R^;kW;W8T!jjrB9nvB()r+;=)5?w$U%1M%^|x&A9&U zTfwRJm&c1+D=e4RubJ<T7pq-MLk8?xCDTdi`3< z=bS9B*5PGIIAh(Huh&_aZ(Uim$S~^`%hf9pB{l!I1w5<$6@K@|wWPz- zLY%KEJlip+_>Y3Y1q-I2^Ifa6MeB`hpMAVi`E&7=5Pn6iLO+L&Lo0c>3!dGZS@p!Dww4R)=l!cM?KIrJc)euNN!cc?w-27Jl%15s=e>>nY~H_n25)`e_HmR{ z952~%RIKtOLyLL7fO_-tC#PQCYPLv72!HpbQIA1M$h5Qd$(1Q*rrd0=3%J`Mzx%lE zkqxYG)>pebS09(3p1V>+_{g!0GdDxd9eVU7Zr`ThIg4H%Slwkio%3kQW#9fs>H!;$ zoYS-IvTSBxc)zm7zRIcnEr;j)H!4^<`(nk5+`dOS_x<^Q^iP}r?z4P#-7P1^FMF>|`{S=K zO zcPIY!=x%)}>b|n&iwR@is;c(-?HgYDId85jJGbe3s(W`t#p|z+(iwKtd=E=G&~c-i zFY8Zek-s_5&o7l5d)&j;-*YZEzcD$?aJ$0GFNW{9YJ93(&Cjh)TvhmBbB~JP^ZfDvY?^?BFZMseDv8zXBzDQE|IfYU1KwRbx z1)j)Hm%@2Ye=T`$y!XEppXdyalD*H;l-F;4p2vJH=8B?-_M$H{o51E zU{#OOKx+*HHm>fXSw}y;yO{I1r{JZ!ZR+Aksb}ZxFY}nz6kNDtU6Z!ST36emKcp?n z^0AXL)1fP7Pxnhkaj(6Upcimc#^BqVv;0P7r?)r0G5)mE=GcUHt8F=#Hb(jt`li`b zENpzDGgb1#6S3nrzNG0*>pc0mUdD(!DQiO8E}_kxCYBZ@McbdTU!1L^lecZlN+V^b z-AXI-rDTzt+Jvug)a4;ZhVi~iP`>3pr#_1ky8Yg1jn z@n199%~#I!Y+`BRq{G!RFS071WITWAKFKaTq%rs9#d*IfSN$<5ye_MD=3eQMja zZhCgn=^xwj8H{n|Ih)*={OY9{-F+s7mu)@D_+l=vK2O`OZQFFcTy&W^X1-&*AL*le zTl$Q6;)J4UGMCoPVtekJBQTdw-0juVxyBpP7!O^Vwn*EFXVKHRf|cHCFF1MvVt*yE zoDMjB$NduTb@zl9!DfFBRvb)YkbJbI^uYcd4`xIjzr%K0qrAoBVA-Q`wyvoAJ;y6w zURdtGymyM&`+BRWjMLX<7V}oc9>2sQKSNe_)5i%XkKZ#)zQyxnVO#Ue?LFc;fBqHr zb?mJCk#cMD29-&1>CBuaDrO?rBiOcn5=(D9G~Fa$;N$&WOXttIxb+$TyEOX?`~QDD zA3o>D%6qHN&2apy_ICzn&!*$bAsboi`zOA-?$>j0!cTt2Xu;b{k0_U$Vyy`E)k zY+bl2W~Z_Bj-zMdoOgVTyY+q7zfi0681MVy@9i=Ue)HG-EH*2~J!|5={Rts=23jy?DN3Pv7eciMOg_RE|B=U7Uve>Fu-x;|QzW(~RL96%Q zqK*Tc8H#34EibGOoo(YTTQwo1-6!SW?*mU>ELHN+HqU&p-PP*QZl!MPiAOejFP(1D z<{NZJ#BP(tL*b`VM|nEq(jCty3r`mBcb}xmdGZ~D=B=fE$8%R!yFZ^Ra<*lC;^&-i z+3H;Z2@jk1oKbUb)%M%s=2jfXwU%-IM1|vaee=~orcR7yKOAhxppr1 z+p2?nZ98n-vJ#}+E8pBSS(APFVD(Qpv%FyJu>w^OiqxEbfu^ zKEX1EcW28O&Uqf$?mc&L-_>S6n?q|;KHq$ML||==DMkp&yMe`t`Ivg%e?>8{I}2h{DVTAds*L3yKcz&?A=T@|J82-R@Q1SZ8&&m zI`^?qyRV{0>VCSJZR2$~u<@;XjGzG+?mg<++4*xE$Zxplm{!J|7 zN!Fh82hVYQ@@F$y!rA$5+1;{M^$yFaD+5$n`K0~MhB~^uJHxm3ml0Fb?cE=YUtC^n zv7~u_vj)??6A8YnF3kzu$@$iPAAg}?uIw{~bZ?2}Q~h1?Ca>ES`#vE*-#=b6aX*nYUnW;jD{WttVbHY*^K+to66JMfT#~b1VK{5zdbKqTem}tJdb# zubF}AFMhE`#?7e}it(>gdOu)2Do?`nN&W>l$zK$(9CzF83?hQ&<(t>bZqaehE*Ge_XU?e9LS1O{f>W;I&Y^+ zk%!VTAL;ldwLc3(UmwXzxzo0?J6OW}d;UhZCdR{?Hgl|3d3?QmXUpT}FPUza;&@+a zb``M|TBHdS&b|I<+WG~ub7ptliBS#m+EApksODRVV%U|QgY!#*d#ZT)A5D>}+5LZ- z-El2Z5owt;A)^^9<{x)F#5K=4K(BGO#F3R-;wR`w@yyUT%cp)ZbX%v6=8nMgCz7Q9 z%$Xs0B06{1glW@H2T9a@&S;dGv3k3s(6eJf*^Qxp-o+ z&TqSO@f#Ejy=P6Dl)MC9KFQU0&@(xnZwUW={Q;qG7i^pEKygBPA}E|y(*+T1I)Kv;0;Th^egk2ei< z`wN^;CHwxa>rg!$YIb;YUHP`tUbb9)NhwL0H?Qz!`bjCo_s>tQ4Ov%Tr_mcen=hX0 z$FdjIZwq>KR8`-GY^eLJ@VBRVN-3jfyxy{f_B$6X{B%>jOnTkCw3mU|wUuW!tUr27 zKj=j8n#+rB=(=z$`Q|0kna*4!vR%(i#;s<;ww(eYHWP14vR5hXWPbJ`QAT22Y{ITs z8@6XEzB28HgN}cG_*rrLgw3mT_vMI`dlxrx<)=HQc0UzKipn^ow||D^za7PX*jrUpd1%Lc>J!oiE?4YrNeusV6-7N=-k$?scjtyRDcdCvsl!$(Kv#lf_oI z+T;jr$p5tKywb|zXUlF^bW|11t&=I4B6#PBSy9l2w>wT=I^J^e(b-0+RI6te0?S3? zy?3fw?v4zevg*3gt`ZpzwZ*4}c`k?hSQ%P!RYX3WYCZ8sdIRI~PseJLKTXcMnAiK; z?c#)~ueuGsD9^5+e=2QZ^ru{vOixTv5+(1@YMN_HDAwqH_fZm*n{VN z;O=E{&%B?_tS)le-?{s7LFLY!OxuNZlNUQ~csboOsVz_7a+hA+X3hh#&Ufbr@J;Ht z7LnEQ(kc9xVDGaDvyGm<=2HE-PjgFnRok{0Gv8Alk;e871}a*cldrxIF!(5_Yh-wq z!)vYI!kH&FzDnZkK5gDubbZSNj#HXSFL~M3eSe)d{P$Vx>#f;ut}S?*cvVSb+T8`_ zKC3T3ea+;keJNEk@KeS=`yR#RMOQBF3>KfhFKz0h1$%s5%38vC`TedhW8YnI+1l*s z%#Y7i>r*G09MpNGdf1N*X@Ey_O%j~QldA}~6zIxq)O)s-@*56tdDl^H+ zS^1$M`$|r!LhX6a4%+_ex_&JD0^{dLmw2<9E_ZF2H&wj(+~+&XvSYk%Zs)s_qB=Kw zYr4qtISNU^0)eMzX$vlDSs;_L(m6x@p<8f(qSlgFjntf!z1%mY9#lyEnyBYD_oQQU zi}UNrS2-*q4>2t`{Le3@H{;pDm8)`3Gg|R7G_Cm0O}kDY|BpLU(@Q+U9sH zL&x>p*@iEwf&5znBTgCesV1?>?`w5xd{}HmHH0<%eAy~!wU1Zc4mx)5&YM4FT3e^a3Z{qM z&{)I!S$pCEv!7n+hj(9ZSSxd+mwzUwlkJvC+tz%(7ZMr&YLDS!z1!!yZN0Z|zkIds z!tzO$w$C`k?f#^^ej$6S`}x}wZjF;_eDv=2SG|sG(|>1^!)IpsVdlz7a_-OLHmyrD ziDCV0IA3_?j{OnocjjIAI=Oy#mf4$s8*`T~HaPJkv(6>%T=2`neV5!km*=RasYxu! zk^0*#e3v_}P7d%ae9W?DRapVAtp zPrEB-`$ieNLMa{k=c0vFdP`m6h*x$Bcvrb%6%!KaU|vgw}fso%GI>$elj zCbElKzm2QsXpWn!w|&;N6&bzzw$G>(D*5%@s`yCC)j5@wbFS`LRQpQQ?!;03$pXon z19kE{dr#Ko%+O_gR=4%??Ug#M%`4t-XYSk6rJprXvQ6XpKIw4zgHOMZ`t0 z%lt3LgjO7klgK#Dpw2qMPt0Fw=i>WmC5vD4YfH;7`tKqAe%C$8$N$3_ZwJJF+!V0H z)X>o^j7NeiBF}N!YypXaP=@@#i6<-B5P-rY5)c!p)+f1NuI`3}E(e~4#!?h>Ix zXAXsXO?j!kIfmPHWvkw{4^JhlS#STl>w7Wmrc0j7w4h@LGRxblKbCfe%v28B;Cp9d zyoKqCO-Ef;@O(&lv^bl0`&tj@u&ERKn2yLS{l4_fM)?d6p$+$B-c~I!WpTFolEB_r zu%gr;d(Wnq)ttVZhSJ4(5&=4*>WZFs<2X5)gST(AtuPOp!(6rM_?f=>hnp>JTy7kk zDj_Mb_SpAW>78uz4?o)bR_i#g`+_N3wf0>pwOc(~NM7>QmCydJC*+h9E-JT%TJ&$; zt&>-J{{+{3(O2d7Y}OxVXG|6BCKb50^gO^jGUes=Va%*dF6PbLTIwW*J0f*T+h(-8${p)hvm# z4_2=CfBJH(E7RTkJC_Gt{@%$PHTz@0s$0F6W1>%AJ1Bcx!7f6%@N&&&cT@_w@b?6ITmSa1{EKEAo*<4-(5fc8U;+2sm`>^ylb%EX;*9K z13CAD=aaYUOsH0RSjTwjh`^QHRc8xUoVcUH^18)z;+hie`AnC6xF;;1RKpS8C!JZ< zsI<86^rYZBFKeq~bDmk%ZeCDfI`{HLwihp7B)6C@I=jG_&)8qpbIy|0s|-`7o%hN4 z_i5+R^1EL|&3|0mqF|_3+*GG(YybAR=d#DU-OQ6K*0xr!dirZQUwEvjt9||*x8Lqx zZl!1cud4jslKH5vKT4Qi@bXG=m(@X$@@abUY&n7PJ5~QCrhTsVJ1Nxo>%ixTwQgT{ z)mOI)olHA)FI(fI_KKgIliZCGW_w6%d%WTHiWKu$$H@8ZA3E!$zTJH@!MdPM|Hkjt zYWw-@er*mpBds7i^~=%ycUJz{wb@d{{L5E;PFY>U<1Vk?f4;C)Cwjf-F5%6_Zdaex zOuP9f^WV>T>bpM8U8=7A;(D9AU{h39T7S)B-p06DOZYzMD|f6tA@ZeRk7dY}%_=`* z&lx>)cvks$fBEW9(qOZQVT?(1fk?_2tDseI{m zuPB{aeq6h6yKgN1_r|b)?f`mXy|qU3CUme_Tz zeN=SgczVzZDfQ1UtM)xRT=ylc_4k6kwyeLcZg;NS5M10NG-_^k{*@OOTq|BR1r zuP2vB6`qRST5(MNU>Zw6Q)2Sjqa^_`g)WhvZgpp(w+gdyJykJzlpoG3xwc^Lq&V?8 z!p!q#dZq0wF8O<~nA>E{DZd{VjE~+luQjrJ67xQYb+7FGb+cz~bX#;qee&H|{J$qJ zy}0#xfvftldtYr2I4ydXoUU;7i^aYzyS1)A+Uu8n%F$|u^1<7Q3?bSF>%RPP6w_$i z&2r)EE`Nzcu@a}>pM56wC*A9R)AfCa|H_*-ll-0j+b7?ce{R*G$gO)M{z!Sf^|q>= zYQE#&^%LzrdF+XoyRB;<=vD8XA0Ya6@ti9?OCQTUGfg*-t+AxvaWb z`urFunMXAV;BA-OW+_bVnOJl6ix20wj@3SD8c#VS zBxPql>Dj`>xG(8=;KYZ|9YZ&!pFDT8)V%QR<&s^qg61&fxlVUI>6*21F{>!wjZ?Po zcS>`~9GO~OboTUB>n$g2j&hxO_T7qAE6Xo-+nK$7_d=}n3pSj7ysV%!yM9~R_K-4h zy(|uCOH+4l*Ql4J>CuH>ohH7m*z~BUo?l+jy35G^iB@0!pC_y24zi}6Tzj{+yU5FC zLyfJ+z8^E+^R8UGi&-aD_r=uanu^H+7u>4Xf8E32Fx5|X_2#sHNpB}!n>a1f`6R!> zLBZ$jo9yf4TNt&@EnepFlq=(7o_W|yz1e~J8`lLboa8O`bMnC>{w1>6o{su@+q9p) z?%C#RHFx@w-!9iC<%zWZLH6SGRUU3DpqjGx}9-*Io&q(FVvHHBZNFIMB#F_vc1!W*B9tb6-;*f)y8%~z8*9~C&|!k#63G}+U{+VQ2IU`4oKp35cUsE3y>GoJI+*s#UCVB0L; z;-wps?mLASZ{Lz3sxzZju$5y$Q`o7})dzGqr>s-h#o>E1S1#I_IZ|cCPAPBG3#`dK zZ)|)S{Wyfa$}NrBDf8*l>VC%u)@sijV+{k??K5^UXkLu1GrnJwsHSmBmhDy0#-+;? zS08bc*4Pqh@31v!v&zp*`>x=&Y}UmkC7}WWT5{aKtDLV`ot;$S!#{PdYvXhOj;BBE z*|awZw=cAJ(mVR)=ym@WX^;AU{kj+SK5XxfsA%b1Qn8j^Z$004->-Tq_3cl0_v`pc zQzWt{{5o9cIq|o3{^x}3rNJo|gAdsKDolT#zk04Nv+0jOkzn=RO;>}XKK`5gJz4tU z)y}HGb(=MP6s~DhPFni>t9gEL{Z^MYIc}x+3t>E`S6VLZJe`|-sQI))*P%(N3EGpl z-tgU7ed`tHP6^$NsVb!ltGPUEQ>|8dgx}s%^2?#*sAK2v=O^SJ3SE1-LU7fzbyHSd zVV_?2{n+BbSLrLSckga~9lvPO-H;{PFO8ai?fskkw5Y7(=I=O(^}jSOR;_M3%5gl? za%a@kdA1jX%RhPT6_Di*_jZ@xcCf*B<+F@1?PVGhix%v%|9RuD@$oMv0w23hc-OvK zx8wDuBelDt9!<(Se!_OenLSm!2OLcAGX69vyVP8eBJw#`cG)H!G?7U!d1bhd@8qee=aTET#q2bV-pG>Ko~&Bnr!6M^_QS8{y-T3Y3X|F z?3Zw?<&oU`Mej?QN8HN?d?NFOzTADI`my56yOjFXOJ;od!8+%?vS@!;ZM0I_Yt2FkLu|@B{J8k}tEpryy$87y| zpYN*bse}CM4sD1oT0dPxaoN>PT@O|*Rq-(Md*6~!R}%TJE99HXG&Aqu)jH8~`VQ66 zK6kDO*G~3#-M?`Di?+g->Wv}whTm%*|JG+wnKCOouVcGI%-1)+BI1K>Se;$}PU#B! zx6=Vtuo{P_W^~r60XT^`SJr$yznTiLpD%aGV7u36^Ae(aRaYV`T z<8iOzLsd7qz1wAe-8XmIqOBi{^+W1ramKT*Ow=iSbyUXo(!(a_Wv^IlE%Ws|q|;A{ zALG7#;ya&T*Rtt{OyciGuQcq<65J-BGr_uK6+73H4}sse?ctjj9J~Hbp^ElPm%JA@ zmhLf{Y_auBTSBHm=hx(wI#G*{tvcJ7w`yyh+AQtl|Iolm-_`{bhVtp1HRXB%D;f2_4UagZkbB<}GoQx`t z*m3as;yBZ<2g6LGS56Ac*PpUKBITyYxocUu3|DWjD+*k9XzJ<2)nT5OSsA=P_&;9| zsIBrj{=C~N;U5pZ8Jhl?zBv~8>;C`k3#;F1oj;gc)xjFU_iB^Zq3D7Il|L-BRVw(- zK0dqrZ&seh)U|P&8TwW)S+~Ma>{C(e7Za|arQ5>KE>mmU`kwvdg>?V3ph=N6_ZAAM z$4c-$3=t4cYOV7Uy7KZ7W9z!>lFK7|KHTuM|MrM8wx{;TKKJA|ff?O)Nvrjm`#7E- zd0!x~E8J+?I+Lp})Ba8V#8wjSyftuAyX}ju6R&^WY>_CDD$`u0!7O)DVe(Q<>5vNV z$hE(=P`SI*u(Q4m*|Mky>3x5+1u8w5U;W%G`g-CreWAeX z@`nsg=&Zc0_1W|IoA}-rM;*DAr*F%;ZBnI?tEjb6b6>Ey#?ji9XKdH~v0d4-UrlA@ zz2v##sVfhcZ#leZ(!SYs6W)Cb-Q=BQpz$(TQ{F~o;ad%-vSzP8leTZ)RIQ{@p73T` zl@_m8l)`DV@L$Ki+p|||_i=N#t>n@V+dVDQGd|_#)z_6T{jcwDnXY=W~F=c zN%?nIY`MAido9aa?Z6`)G7Pb^t|`xvJtAI^^=8@QZ~j(ytZN^>T_46g(}7cErPr+Q zQ(KDex656U-F{nZ$>Q!OuRi>8zVg{J^^aW0BojSx& zfaIB&OtF$vuS4#89rMkuuRq`Y@{{}W(iduPw|(Q|FA1}beYQB~OzV@|r&7*cXrDMg zAwowoqWse)7saWkP4_wmKGR^{ck_G5l7yeib0w$yef>OR9gkwq^IM%)P8?^D51Dby zH+fp8N0#8!$fAojU+(N}o?Ba((G$WHuNbsoMg4>40s0=TiT{%h>s+{>8e#R`hreUi zoayOP79?Mld~xyj+;bKmt;1~|=M_knRB9B2|GL*Y%VOsj8Qv7Di+SQo<@YRjeSWHJ zRLS8uXL@VN#KNo094WIuin1_wNEKbW79`hDX#U~CoNW(+rykq#*mK>tilxmtno<3y z9eh=OUrz5z%BW$#+*-=EcUpBh3l5tiStZ6mS1Een6h-KNw>ZkpV=Ojc}wDR zWb$5AF8lFmd++@ijf%^edB5gbW@sIVdsyyu@S;ys-nIWp$?yNgSHJn;{%+B;O(nbx z^>R56vN@M*Rl5>@Ik7IO(_iPK;f5pbI$N)oJ>Wm$vD&RcdpW1w&n2Ayo)`YO#aE-7 z`p0XfeP7f3<9u1CX02d6KhJM=x?LtyxyL)-me>PjR_B)Smh?|`?we=-|A^xElZwp> ze>_zgp2UiaRetMqemB`!qC>f3g3zY0NlQw%eDCy^3v%vRHpe)7^(#3a>m~n$r`(;u8 zQ@=+Szy5zD_^Yp2^h>zbLjBWcl6M|9l3V%I;=S@KU&h7_!hMB*zi-=qm&MWkWRu^D ziW6e{xHaT&?(lxInmw=nu5LEe_Bu9LZxwJp2}-A(XL#yf_*}lvJbwDigcUVq9Ky0I1RWVo4yCZ|&##K-o3`e2 zkmR=iJuCixwn(Uw+`s=@cXmJ#%cQa$&zyM~CF2uTxb9nd^#ao#Ti=d9*BAUqmOOR& zclX9UJi*onqMy#5%dEWU_UyL*JLVrgFvrnk(K;!s<&$g=zi__L?;fghtkRT`DB;;J!+1}srVIIdtG_K1RKJqCFt0f0D~syq zvV+WDJGc!r4^BF@^G~yDhWNVfTTF?b95j zp2hs#RQq?~YyBlk|8Hq{9_x~xGHZUuyW9e`lvc=Bp1rBGun|?L*?Az~($NjkE#IFRWUD4><_B;8> zHKnNyZrh%|dfj~C{m-3sul~L`xAft~XJ?a5KJU1g*>kjOx53HDladrRJ@Q&uE_>IK1Y_f6TEedqd%`(ZmfHDoxO&(+|N_RpLcK8 zpSI2ZL}32H`)AipUg9FY_3qTkUm6ZZnA>~%Y3#ptAo=_9Pf3YqH(WlEzr8kgt--E; z7nBb+^?bbb?qa-{ccwb4GbC28+B@Kr z&+*6gl1t_m&N_E%R=59bDWT^-&x#3t$rWmwbNF@jOM$C9JmLx*Wp3TKTgef-zV_&= zXWqB&bcWpd)%N9rp;5rz;;S!(%a8BX&j0+>{CPB6`QzUj4+>_#;W~cpIzxHat;b82 zCtvZEubJ^QG+?ux)2~jeOrE_er+&$Z@ilO+2>Mx(DZu-^Yu?H!TizLJ#`uOj3F%Q? zdV11?CXP&JsgKv=Z!+b~Xgv_7nacFs`hfegNJ$o%#qqPto32#XZQ1+x&(CyU-fc&o zb#dJAzoU3@r(&Dio#GNj$!=9G!1mKO9-W^y6s#$Aqm?_`A#xcKOu5aNY z&H9X#<@et%t85JRf730rMax%D6K(7FYw0d-|L1V~h~)1}T{+#H50f8?ip}M?(vrM&{qG09>HMc&a=tF^ z_eEZ@0pQo-eZ68}opSqZ&&lcYCCC1$9dpP6Wm`a&B znG!sWtDT(O^i|KL{d1gbHUF^BDwX?o2RHkEc*feff5zFxFMOxZaWj{a+P1+${8^4^ zvG6m+XH!4rR(bJ8`Hkjp2`S46}Td?DcPwM}s@|@qZkyqM{;f3X{#NUoHlEnLim9^%6 zy}b38PqcSvUk&f!8RwF3X*x&wMwv!;%yv5($2+~&$IR%ZLZ(l;Mo@M4T=CK#*B?A? z{xg4nD7p8O=dyBYlz9J^R}K>!m(9FW9Cu}q04c_eO zQ5O1cw)=00>%{WBACuI6eGT{3wm$EfxoG`OL$lR&Q}(_)GdDYt_qOBgYwLD2{j&b` zT*-myXPZa={mT_*QXBmY?|*Q&J97EcZE?FT$w``qOODJnRDSut9&xJXq--mPlB%q- z_;MzOjZIA0PSq?(Necy?`1=L>shT}|gVz*X+_Y_H&h2fvV03*ug!%T~^29a7$ziY)vUjsYQ$-B+N`_kIO{{#gsAlBOUEA9d*#HJ-*Il)BCYRmk2mqqX1?7& zj9YgdZjHXN{&K$Y{N<_ny@qm<0Xv^@&u?k>TI#jDtLv+VMD+7>_pkMO%(+;7c2{(H ziZ-{OJ8)ZHmY;n7N&1Lru{j7Zf>6bFD-RYk0eY!A4{+azPtrw!4K2Z~P zuD*NpM)mF`x(pNEop+tFclzRB>u`6rBn=hkCXwO=5e3mxij~g(&j>0J;(EMyTKVbS zucrK7S9P4*mgA7#ZI^xAceaGONapM6SHcp2gFZf3*8W z>8~kXHs{rWJ@S=YA{t`R}osYs+4#??_v+Jyz^!@)dJyk%Wi8*LhE0 z`)bh&znOZj#)}vBeDd0ru6nqiQ~l4)zE{lm&u0EfDP*(wG5yB+G?S21F`NrSRxF;S z&3Vbd*5uHPZP&$5ovk_YVV$x66;n6M*G#9yw@&Nkf7jI<#tq7`-q=wrPX5=_1RN(6yYI@~uH5LjDop(H3a`9f{g&$@x9RG{U3*oE5(-V2izi8r&yhu0sBij?6cqx5I-PznXYx|xPHi^kw zx*r^fj80y>Qj#O#Kyv2$%d#4K<|jGkMHif$c5dd*g;LG2mmK#of9enQZ~kwoc4PPL zQ^j&q6WeUEiz-8oFS&b~Q_W9ElvlvuKL4%P>z#H+vst}xJ9PdF7jJub0=IC8h@zP}~m*o?j-Cci_Np0x1k2qN7G1*Jy1Gi0d>hYMWo0p7UeQ9{= z;gj7~bj0D<@wi(}%MX6($zfZ3)otZ@#|z@F>l1&T3u(`Lkkrf0dT7I=6+gDGJJ7RD z{>Sf|OWhanOfbF>7`;@PPxi3&e!no*g0GUjx(5=r^HelnkUu)@-ok#q!^`Jhe`DDY zo^@lJD)Za@Usk=9Sygi|k%j42)z$8Tl`MB|X5Q;J)|h_rT$hZ`*(Z0(rbaHWdTG++ z?9zUnsrk#{>_tWnDd)Ck-8O6AZt?7X@4cJ(jhhob-d(2){ znbES1(@98x`Bmu_*9pPrlUzPCGYCFBm>0^EkZO@OWkXnDkmP}fK_B@)f4}@@^Cv~C z41ryT?i_cFFRppM>#@a2-NZ%iA6?^Pc0Xwoyq33nN?578p~EAcvn#~%Ur(@e^3P=` zJaa~F?!P++&dEs^@hBZ|V*2Ux;Y!pMM_)^aQ&;!bWc@nDx^|~k5YtM_3kQPkxaIxx zb2pcbc~kP}N#FBH{uk#6Sg*Z#)ZpZ0>$*p^THn@$yKHyviCgCQyE(VI(oXrqzrCsV z^f|bv*fToRypVAHa^+N5bA8h+4f}F-1JQ$8SGq(WZPl^anxuU|SFT59c2yP6-WZcp zKXg({I-XE0 zVwls&(<|P6*iXuiH7R*s;)}1vzzL&i;|A| z2`SiA=09v#FK7+ne9OYJMq$b2N6$Vl@%bpShWpK3`MiIp)mPR2?#N=;AlF>7_xu^r zbb*Jpra?xoR}QuNFDNspy1`PnHsP|M@d>AebLVoiUS4=n>&nauuLJk={!CqQ`ArG; zwMkW5H_CF@dfZ&@`Sr4b&4KXZo$v1H{A1>qzBZA~%1WbU*S`eTrhhxF^Ozp@ht=OQ z+u^=Fd)a5sjQ26hml+n$Ui;?1nP^SG3O1|a{O*(L6F8=1q&&D^)XX<_O z%zj{@cI#%~`%CP{s{e4N$npNlx^+aKhjB0S|A613yRJXm`>f^PmOKB7e^=l7=(p!# zLt9v}gM)FP2s~gU#@Gi9cr&GGXE;Fs_C}yR&DG3 z-Ng`k@8Ada!t~Gg^Vj-1EaU1-n{Z}ZH{Yk+$^Y3e1ipFkz&N9R23N+GE*}Ms|I4Eu zNk$);tYDe0DjgZ^Lkf~Td+yrLI#=plcSVoQ_R`K1r>^|D#Q98jjvL30 zqV`oDJ{7O5rkwEVy~A<4DDpw9?_bxNDKD0U&Y7G$e`@87MO^1)_CT7J=iR8h73?X%wf4lFsfz+tyb;yOjL)TK0Y>g|A|1VTa;ZWH}ih zu#K7T$(Qi|e(kCQQ(Y&e=c|i$I!isazjbz!t6Sd7jk7;JS(9V9b|Yv0tiHWVdH0pN z$`vRzn&`JX6a-de^vx7IIzyb>P~GSLpUW>|6y6m?T&xROjTyu zagQ67eIr&|fBRcn?7qBZk6mNLqD~o|!;##{$-nA9nRjg0b7sD}zSqHG?HP%i zk0NHrI)0h8fMI*lV>PCW1;@J%UzI#sk`bt%)wpJh9a=Q}LjvL*9iWQ10!ifq1H zeqRT7g0z`%?dhoIv{g%XzF}Ayxgp}{2L^wW6t?MMTrJGL0cK9p+h$dWXPLOj{Jn7R zM01qn*;~!0fBub}zDTOh<-SzzK6feO==Kh!g#GOpfJ>2Fytjb-pv_+{Y*&^!wTA zP{o@I?i_H@UBB=|O_S`xUFx~K3j{^Cxg1dXm-TQ<C%ua!>7>tVv5I z`Ie~ra4Z$K{^u$r==Mr7X|K4SpU(4z@8qvG2+o!8o4-zG&7sPmgctVLOzp+Qy!ofG zi%h$x{=HRlU;e_6<`RwvD!sP5wJ4waC>L|_Rb-IPuL()}8P0VoNH6>K!i?Sh&uadL z&84CK8-+OJ4h3_q+R}VP&zMEha?wJ=w`=d-VbNYD^3v_6QM+U4jP9GpZwkWI(rSAD zT4dfme|1lM)v9w>Yy*!xntk-njTLL|@R^=_wI=M-k6UDqrp*xHU|V@lgjq~*!%TL^+OjV#QUO7W{@?q* z#LmvH=Uk@l%Y|i446-*kLXXePU|8RI^k0P9>#&86*A8Dgx@oRi#)3AFJ=dHRG;Ph5 z&kJq7+mzd;daB8`y16F1g*RsBSBXW7<1ILv-E)oV+gv3N1m06fmV42!yTxAh@x2qt zsdxOAwQ5zFl{#A_JP%Bode_h_XQ8Rwh3CaC(y=%G&1!gbtbE7z+Rl^?+b#Coi?2lY zY^k48nPTygUm=|FWu#KnRJKsVMCa2NCrYw>GCy}nbB@~4kKd2B7068fsuCy1;bb!L zV{#tboKFuAr>)FCxnfJIsKu13Ehlz0&X!7<5nJ=pa9d?W=jzk$TLdQ0eSV;Ix}CO9 zYJJv6&#PUhf+F{+CVZWnT>4OKThBL{5DV{XM?bE0dba9SK}V_Eo4l^I#y>1pPFUOi z^A^jOYp1@g=u^#`uypF}Q#?Neyu)wrk_}=Gwwbr(jDOn4y#=KvCz-SEmhRauXqA`h zti_U`?Dy>0PMdzG3C_lUHr-lgmOEGK;S#r*({3t?3)H$Za7{ls{dbq1igML$#!iD1 zr_&n0I-1`LaM)McHsSW9v(nK!m2RmdA2na4QK(olTXgQD%&?{Ug0k^@&IyGbbo{;H zXOrHm4^sS1jFVm3@*-|FdGEchSQ%P!ZR&A%Dg961#q-{jPLp|k(lc_?3w{Rg?76#p z=PtZ+F7Rha=VM-7ZNu}kcj@uZE`DnAe`afD$ww`|_Ha#&j3d8~bMINUTC%s!{>#+% z&l`%ob$5Q=a%4@!a{l#VS6rXHum1l0!`IpWjg7je`0l!8RKq)e`7ceojgpJ=zT{di z{aao8hj0DCma?J`L5JoZzWx1+%^}(UJ0>ab^Y&tP{VQcFF;SAaz;3mnufnz)^KNWD z5Z!Q%>%f{1dd&HHYwkEj)GSUb*vo4CV%y4t-fML0_i@i&RmQO0Pc$q0dfcIe^B1n4 z5ewBd-WB9H|MQ(&iE|$6-0tkiezxoG8Hf7B<`0p;#Y-6-K0NiB64h^{c2z1`>ePy$E$0|igxexNZvAnm;@^+5a|d12H%p(I zbIg^|DEVyHrw^xfV@h3CZ@VD)`0e{I`((Ssf|b}R)!g;+Ur+2vm}#6Pruo2W>6JVC z!(Ol-^O9blwA}Ssq0YLej|CjgN0|pj>nrDM@tgfC!F`L~_q+Qgy|ea|Uw?LU&D|5h zid^Qgg$}P}iVkd#N@`*J?6GR|wFz zJmLQ=s{CTSOtr|&2S&z6r{pf~7n%2Py~_dqJzYTy@}9aJefrctahHvZ?iQolGbegy zYzX!HGimvmUyi!hZie|RJUzcXDST?@O5;O1iHmkP?@3#PM|4f& za**}W)yXS5xnp`(q;X<)mWZk4)#nRqw@mh*(D-02Q!S|LV;jsrt8F?0>>;jtskm^K%Oh+0RXXXX7%tx}aZavbV52d)2d)qK`Tb`&L+f zNRUze@~GqZY{_d|cD&fzsh+uPVtA_4oGJ!yuJ6&2p}zLLXYOCW$@=QPO`3Q8uD}~I zM-*0at4u3p=~89darpxOal;q4ZoEu!i#(XjV3ct*;pq>abB-TU%QmgDY0CJM^ube& z^@vDyZTLrrz3s8r4_+vgJS!U+QBWqbbt{YBRj*8|#X(!AvqWY%U0S_h$$|PdgQ=w+ z=bx&+_)^GoYp47qwZLVyuf0ERU9#}%P7$Yb>(-gi;+^wyV=v>;*?D&1>-T;M+td3k zB0ej+V(I!1dhT1oHoy4%c<~IeqwaG%p13c((fFWJR{X+bA6^^jglF;bQv=n^+;=SG zD~tMVwo~Ax%Ke9I%2xaCT;q1IzPeD^QTj?xo^tJ;GbM3R?thr3E}waHZB|~LV~$1T6~GxM8m7K z8Pn8v-gqGXrrFkP%K1r~rspRnzx`=^Z14R$b`2*N`W}4YB5_{Nqx>zy=LtvOx>QXx z+r#kY#L{{58U=qkt-t5wuX~OEy>rd13%+W1o=&POo4@G(&;E>(q%Xnx`WJea&$r0j z#Fp@=f7j21h=u=e+x6|cb@yavo~`}rk9=8;yPEsFAJtqdl1O&_Bqvqj)XMzLb9(J& zr=?0yo<3&0#Uixx8jbsdJeQ}mrdREI zcj~Z*M4Ha0?VcB!gC_Nyx|GZ{|H0ZF&_wrbLS^ZNzGn>=I?e}zSjJoy87VlWt zF-hT{)-rjMb!Rp**ew5Sey_IL@y`7%A$O9dyj{$6eqF%?o0<3SviRNHQliat{%q!& zdFknC+?UJVon3caPx8dXZ)>!^{xO=LK8w?<`<#Zb-ihFra!vi9GhV0J@2vZk?H?+& zhx^kBj^_sdzCK!0?AkSH=F-|_`~57|p1Jq7{w7~+WZnJhvm7~pfBbvCHAK5>8~@#M z=a%ecUuDlPe=5R$uxjqYTz~dO2dBK~EECt{ZoXNW7jLK`82vMQ`_ttat>!Bi@4s7n z*Gn)s`saeR=bVCa7F4(^YsZ;A2;O-3si~>&owswCI2QUYei860^d47Z%WFI4{*ymD z`lc%`X>i&spuhUGdH&{WKHLkwYoJdvR+&>-fPu0 zMaP}y{qQB3bM>qoLBUxEu00HHS|_BZ&))9+=ETJ5SH1i~Z*n+#$M^R!&eBm0l5*^u zbvIP+e=TF{{EOUu3jOz6jXSaq&si&+;}r3(>lZV_72SZ{-~aJUX^Nk$Yg%soq~O`4 zz^^r1+9D=7^8J*~n5gKmXoL8RD=}Nu3(kF*^y@&(eP)ocd( zO3QBiJ(KyNU`vDUv$R(yK0BG`Es(M{7TC8`PU`Mz-jbNm^8NiiS=<(?6NT25Zeq{d zw!*>a=8~3v`=6ip?fiKyN~~7LO>O2qNqx=*-~L=*=v4M&fy&NfW)Um?F&~^Oonmg{ zX`5)=*rhI&v-^J2&9AO&+$CySuJlVa%xdv?+xo`&6i>u&yF`)aU;3@)v&(A6Om=^( z?d&BhqQ2|m;z?z{T-LLiEYX>;>n!7y-4P!mJg1v3a#mUpDV(H}9DcywXLp9tjZDQ; zLdkD7t=_fgdeM`gtJ{*_J~EOudhpTmu+Q?VFL;%#yWR!P_nYE&%wlQPf3XN{zl~hJ zy93n@3Y*BgDH!a%*&_1AS0{Qy;+nkKi(RA(%679g%(=t#)r`AFYTwjTuP*8HZ4sW& z+oX6_?&1CX-AQj5=Ddygx_%Y6x$W9`2c@a)f4sNGrOy0zZMLhad!o#=inO=!f3@>l zW_^&@^xNsrZezKizgHjrZixQ(WzDDK!Y3IyST5h^*RT`g*7(vq`DfqlR{MWJ%ho5G z`oA}R9rvmF&HIM`ZzQ+MwA-pqTyw!<%7GPWSxWq`C$|5;of!Y=mG;N_M(t_;xx&xP z`5(O_>)@5G_w(u>yfrSGa{bkMrDY*k4$bASchgwh8m(Lq!!iBX_KrKDYxNwx{rdiX zHhr$~EV|T+<(|v-XAh1wT7TY_@pMb1{ojLjZ$H2PSXZ@aZpvvn#-(-kdrf6N9oa4Y z(K{>2a%#@o6-l4PA3A17?0;&o?B$bvdnQhHc>Pj)r||tu&U=+#LOCz5e|F0A-cQ@z zN1xwU{(a)v-Cb-e^VB6|)u)-11|DSHq_b_q-l{1b0oU4kRX0~g*ZmZ!oFC;OWp6&` zlFqz0Yd*y7?DA$t>|+zs^Wtnn53Ji6xOzK>xz?#?ojQt%cLcKy z!q>c(In35+_rEtJp!t5~_j@O%t`_vsXZrZTaeMi4n@gMd1L`kt4Zj=FwR>*Gz9Vuw z7{hYJoaJ(qHZ;b}5uMofuY9xjN^P|mH`$W+W!iJEpNQIY$=N3K*OvZweeF|jp2}C1 zed{3R@W9hWY2kBO_kThccXs^_(6l%rU2(0d^rxxS)*IhqlXwnv>wmpo&e5P8bh zf+OYbzjTGSd}$5NfA3}5?pW48r~j+b-;jMvdOuW5mFkI3F0~7Lsa_y^r%I*bWpeq- zFP9GWY`EdGuIsLhKjT%N_X}EoY}y;8m8aR{63ObxC^vVm>$=pVpEqAktlTQi>F3z@ z{B!7*@(PWp9>;nC@ka;qSp(jMmxf=SQJw79CdtZVq3R*LR^qPxw>13#d4AR6hw-l% z%WQ=I%7mu`y!|-YTbJAL*T+Te6Ebv?oP>ksJkVsi?$WnUH!iHe@q}^miw|5JDy`3J zOiNaLd3JsKak;iTGb}mS9FOhO=8NC#zF)8OESu>0YQAtK=3Q|~!eXvR(sm_eYj1A; zE!=;bI9+x2U=Ha^{Ly+}Q;@rk+i z(pB#_ZCrNdfvv@aIXX|$*0RidWiUy=@0ZHtbkE0)bL(uPT))TdO+9m1>HVAyK9!M| z+~!55a6Syw-R<-`p4HpYbi&n|S!%b|OkNf$>osLp?>f%UtJdnRi)dQ7?q2Dm>!;^_ zT97{Fz9qBX#=gZu&*J0l4jx+a=>Ei7^{=z;N7g&)Un;OUD(T2%v#@r}!`~l2Ez4Rq zlhiX=XBY4 zw0HNtl)v^Wrtm#OP@a1tx1jLeV_ROl{}Q+=NZ@6?1=H2k=A--nda6%y2)H4$%!~25 zyU5HSx6RJY*Mf@5+P~c|V{^In%G<4?aq*^{^@3YkeU$xIgx%qvA9ScKd9qPnVx7&k zCGmTwKd$I;{2JG?S}V`_ebHUxVY>P|~w3z-{$(nnu)AVyoH{1MgpEL7@ z8Pk)`qB@EH+_beB z{J!_S^yzN?%b!&m{GVHf*eYx6xuwv3XVID8+LcPmHZT7kyPk02B41SD$(2Wqul%r}lAtESkRWu(5TQTOPyxT!jMH z3#ZOKeJCCF=F&nI`ESyqBz@_p0)a@_fFCo%5oD~@{& z3)f!uP-c67HLO^PkH_MMNZyxEQL2V62jAMPJ1<%C&*OolPiigW>w`OX90_pHsERn0 z|8rUWocZhTUYGyJQ}+2Nds=gQ)H;bR`wP5p=KpjSNw{$47e{c7mEZEbmvP@#pPiBR z_+r7SOMev;SYu~C`S^2p+D%oqTl*4EOk1>U|D9vUt9L~*%-d?d>frK_$JHI_mI`wh zZ1!{7@jccu*s-ON?_?Aq5zkHoQ z<1DRnb?P%(AG?04GOFZQek*g*1j+cL3M^XdvX{E&TvkY32FEq6E*2c ze?`IGe%@al5jodpAGUPf%2%0WyzJ^+6OPs!ccYB$|DNCCdivn?>`cYoe07V@=h@c_ z{a|9d$i6>p#Y_Vemm9zMxNG#AI+}|6&FWlkedSNIy0hfLJiW*Y%ZjZ5OKQT?mK^p@ zIPpj>raNj?-<5xyi8Jau&vEQswEn}Fs0oVme0%n{|NX}qvGd-PdyWEW-)>fHGFiJn zrsbGI@Vsq|7cV|{l6?Q_W#Hk%6X!5k-8s10RJ^|1>c%(b*Dqum6mO*Lvfp@Mhi>NP zbCQ!~XEz4VtoZ+T>P`;3d-u-$U{|Z~ zc(>i@yLNwHAOHOROW1@STWgWxSGCW+E4}G-al4|ua^9mEE6bI8@5-OqyqbF|=eEt; zt2W=>A5y&VsQtcWizeq*yL0i%)JJ_>yECNP^R9OMrbBa&H|@??eluHGXzFvO^|p^B zMK5hmJDpKHv%IlxPlZC`-MpWBcBemI{*-^}xx!Oh_82_dS!EnCRpe7C&nuS}jd=O~ z)Z+?HCtb@{x*qv{sry9!alx;Du78w$-@}>wC7@{+bEE=S!h@TWqnCzg92c5>k$GcH zvUddt4WweKHoW&3n&5_{jy#UHu#r#T3xO0Ir(FRpZcfYM!# z33GxM-?N>)#o6)eC;66DrsCI5BstIeKlS3;tCjcciw@SyC44&{QflAIc2=k(itFm_ z&AM5eXZ`hXw&tmEiL{iO(8Y4(#lO6WM! zFIryoUgOJJQB$TG{rRWc3_FuLwHlJo_-ZVWw-;JlB&fI9C&H-HfQ$2~$a|g$tH&m- zEC=2n{%M`3D!5k1)pZ`Xi*+}5SYLYi!a}zxyPw@WvF6yesnKWRLViBse%$oC(3$at zfpGniocw=@B|AbgxZ7Ngw@5IaS?pN-Mrr?2X7>J>Ddii>5>0bw}kv-^I&KvFwSFRmomS3kBj*_MI)?S7Z|&_WTK7Wx_gL z!vh;G-iV!0B3}7v-up)BRQ;S~hxB^eZk5b!zOeF8xR-ZQ?+34`Hs9p;JQuv&ELv!_ zMcjFg!(%z#h4#1qi=NOav^)IH<&3=e`y>A^XfjsmY%21}PGCtYYo4;sdA5MYyTYOq zI$ASq3qoHV=rQ}^;41UxX7Hm9=|!$(Uq1c*RU^A2Km1L6&Z9T75;|MHh8lhQy=g`D zk0Q^yo1q63jqJ9?1q(P-Y*-t4JLIb1f(;C2)jM{cZk~1GYgxTy$KBT!r}I2pWbERm zT@FofNm_BN!$4EnP0qiFrSkK-GQSh6*mR~EI)0X|lK;-p)c^EId0#)TNsb^#{3GX( z_szfMG?wa19y@!twk%rc&)0M(SJNI>SF!$O&H_r2aSjVYHy*Pqoz!}9ab4LoiM9;o zbI(LHI2ezZytST`ZIF=5wn^)6$>J*Ag<{9gFu&ID@HSJ6y4cPt&h)uWd-ieRXQyVr z<_hJAU%Hmvt;y@*fiJHkr1wVNjFi)BQ0!vm`P#Z#{$6x3YxIn^?)t)l4=03~EyTi% z9isnz%BVLs>zFX3LT7&1_5%MYPtKZbe{vwBRsWKC<-TB6j-(c0)qBC*y)TTu^+k$C z+j{T4RBj+%(PLMjo}_!cqn=XZ+i4 z>ecroIQe{!@!ac11*Q&fcCQGSll1-iNuDKBikEOd-@0y#LYU4+L0RpFsjKI<{OfTz zd8|75!%T^z#WU`Uam=vXXP|dY{=Auo+(f=&>3J^G{jYO$?ydTFL%!N<`x+Pdv-|XG zf0>7^BL`mc$L+3A>f#xX0R-i!I2Hr~39YjNHSBgW~Xn$lXGDb^2n`*jJ3|7YG< zeE8SF9X8)5*aVdaol^?lbJBFi*}Fe4n|NogInDjh^w7nH%#YH#+!pR;d*`{tTBu$* z^X4k>*9+y6gOUW9&{T)|OQ@d730hT5hgiEFgMmc6G&nzt|)G4gAwA z-n3m}Z9U3rz~U~)+93VX^z06$>rG1)QeRs~Q1r%ptM7|d zeyra5Qzmm`^=ijJjbztc+sHEqFHb$Qr6p+Fxm7x@NLgX?kKM=jpbo+Oeze z9@>55P__GWL)j_jJ2@=wZkzh|@`h)u+CgU&oNO++ZI9EuXq0Iw_~>5dMP*Mw3l~AnnT*<_la8ni<*z- zncsf3xgsXOHBiEq!7|^%(VMp+AUd(*!xrb&SGVna6P5I5^(tnkiVMe#Wj^g?{S_joYM@^% zlzx2A%Sny~Gpv^FyW)3EZg+ygRk>ci^p$+dF59(gUWMO%dp?=XiBVI>?b~DNRkIe0 z?3L{dUcUI*)=KYs7_4MF=KXZA(=Uno+8>S>b+_O)z&c$WzGgZD8+3?KHAY%z`)gz4c zEHT{c!+u&wM1GS#)vX-YJ|%72*7|~2$9pFxyID@q&$h3vi4s31vM4-D%_+Ni;mrrd z#TnmJPOT0W`*e5u_Y*ZMR{cwCd!M~hO!6;ZfR*>USC${F!>W!pY3rGabp(X0UBunq z`apk2|CtSGU2WnLD@ygta;M1fDijxb#D8jBu{Gn?_WW=A4@90QKKY+_^S|hf?#{>c zu?jJZKgyqZ)bP4?^=$Rf(xAC&YaG&ZH!qwtCvc}>^8OVMO$)sY?gj|=9-lmA^8epV ztpOfKZ{E03E6Z8QE^vdr?ZSso)4m_tZ+ox8{xoOMmsufxE{c<1iE+y6^P0L_`m(QH(pXx5}>;CpWIcf|4`fH!w{`|f3?$5x& z!<{KFJobonK6&8zYhzZV>y#VO5$^K?6F$cL(4KyXL0BlhW7@+%A)J?@K3}O^l+qKT zrgrE8duJs33zMHIvsNu}c+$ji!a=2ZPR5_jv!C?KPn#yI#(dlP2iSv6YN=dX9l4{FWsUYh8V5xjw4GVr0U)vQ(d{UMC~ z>mt$|BNMJZxVVpf5hp`<<8pq%){1`HLvjj}UjE<9vZ!;_l0*E-TC2Im{i-7`cVAqV zz-+Y2r{Bg<^oH0<7P+v6uk36SM1Rab&&hOT;;&h~&$NZqwkry-aCRxaWZ-(OR?ov} zweoJx)sL%lm?ES~W|baR%MAU%H6z5l?dsfPDcw6yrFwa3i(LC8pUbvDR7_;q>G{s0 zBErIINy1#;#aa8;F3XuBt0_5q^GoUM-wjL~Pfv9EcD2`E`||R--%iH^x4jH2>Dv8O zq~gl@=6ODo`mtIRvT@J@JY{wp$;`GVBBUkV)6^3l3whZn_ci`Cr2Z+^k{_JRq&45adv zz4g~`U&2%C+9D(QDZOplhpmU&?Uy~@s>E4fvp9T5gxPx{uXo6&o9=KE zeB@CYRnqzPZFZC5s)>8n9$e&aRpB2lFa2fu!}bZn`=|bLd)@YSV>zR}(d{#KOqy~F zE99Q7-=UM_+_&&0Fx;t}uk7RIwl< z?}AI}G=Hvd7uqhfCRYZm$Y*-?^mD{QkE_S`S2*j0bR~2q{XKA0KxXRS-_di#S4GeL zKK<9`-f6$L2AgnhV@UaU;YLW*q2Ij@D#>RLwQV@LxU}Tw%P`H)hfizf?OVA|@9neD z%W6sU-`U$PJbTmYs&7lY;>DJH1h8(SpG!D&{5-%NdqI>bd{9?i~+xr=6E{z zhZBAC?@^y6h_ z&tT|b`&oADwP zsp@Wv^F2~NKf5l-MO}M-x5%|*M!@Y!llwQ?9{pL#GN*N8>B__zDnAd-Jj@dD@kd?7 ztyzCh8Sedg@XOnkW-HAuMZZpK-f?0{@miLpGd8q5a}r8E%6OTx-ufk%-rY{_s-iV- zKAhAj_4zqDjcevDUzd3=|7?y;VAf*#Dfw_uRO<0}3_|>`UWZQmez!YdGJC($6{|%X zE}h%Pc%#)r{^Ev}mvZ}f5?}5t;xlL4z3D?9yRfudL(r!crN0%f^)5IWU^M&DvHsS! z_nF2b4P6I6{*&Jw6x#YkC;P$9g=@|zdMiBNq2>Q#0dMct__>bCvDqi5JzK0cXOUsC zVLJcclFXAGpIue{9r~xca?+`Hffu)4{(IuSp2H;Z zF85p9uNEa`IWM@kz^(X>BWKD|(JcQT$J9b6uH2mE`R~(#Gv>m-*Y3Gfu|X%t>FvfO zk^jpMteYx6TVY;E+dgKEbKkw6oD$ly#))U*{N$hcP0=bbGx(y;Jq~pe2~$0AQ2cSj zglQjl)PJ8}>^jX={rdl$<3%|J3wVCqy!i9b3b%wP5AO8nN+0tM*_j%DliXh|NziV* zQ}-p#|G<`~nww6ZE6@-+BJz##pp*ZT&#Yp1`9ePNpI)JTiK}+O{jRXj{8w$_ck=zp zc(!`83X9d}iSjwecJ15suVI0@`kMdwbxFVeU!2^vyjhcR@1BWMH+AcZ?3H0uWxCk8FJx}?k zu7PNDNOwMSC?CW%}VG`Q{2Fk6J9N+ock{_&VeeFqK) zOqytLqQpo)=LF9bHRYI%HzHi5p0P-r$>4Y-ntXBwuUq2T!#4VIJ(chFoaT7bt$uVu zjs9^7LB@tf#|#3C)-pC+$!B>TI`yKGa_T(B+4GtW_BuFAe3GC1fW;y6NTJ{NW}C-~ z?3xFEZ<>0%^*dWd)g0$+!{fnLKKzo=50^Nl1xpq2bxvku`0Z}n+^@oZsi|+_ZSAnHsxct=6^U>={J{ z4o4-}6LxMs&@p9EYogO<=VkA!PMl=*VLV?vyOhVsVnW;NrVlq{1gdxp1N<)}<%CKV zFuvT{!{ydi^RTMzK!UjNLgR_WKUnx5x}0XlN@3T?-z0N z#=O^i*!N+>=_Z2<%BQsNOek|$;}~eW;F{zMDVtO&c3I|AMq)k_7Bv{8Y?-)ILg9{~ z#-T-ROI8#lzKAN&Q7t{7((K}SJYmc91I8te4R81){uw`fsH|{0eXGM0De1*84R^e# z$}!n_pl+*I-R>`!RV-8f?#i6KcG3JRf8H%RUso0F78w^87U>svFDyY%*Y$k0ZIo5b zP8Ew?k7m5}S+e?vz~rg39oIjtF)WYiKN(ZC-ympDO6Tpq8=|EeRe~2TMd*H*GEeZ> z#)BD+%2F{3Tq`#3ZE`#x{j%7o_)1Yx=&su;ZN`3C7i0VDm?yIzkUn}RGx^Ks`?jU0 zW-e6cDzH7P`@unf#=fVPt2WJ*UvF7dQagQr=K>9`^;>2HwH|#J_~K^n^GxRd39Ikk z*~IZ(xN>`FO`6smgR*0>4ioFk`F7vw|5n1D_j6gyYU_6QIfBpTomXC!7n|Dpxa0oO z?6}~9`I0%;&)5k*UfHzobLdII>wTH5Ys#!SHx$MAcl}UMzGV4#g{DRO(TCd@?C&2` zI&Jgg0LQkj&*>Mx&lKKyz-so(ij&&rtN+%t*7RP8Vm$n5+s@OsPV|&=>6-lsfR|5jg$ ztUYX_XmI_VXclpbC#Jgd*ow0e%Jy^46Kh?T+eOIx-Cu8a$lxp8IZ z6chE^m3n83UhZA-bdheK?3CYMuHCT=S{D0!mi~^;6ejeuXlbA%;s1{ z?1}nZa>=Xod&yNV%UikGzh8d7C)`?L+aLZWdw=BJ>OEI|8f$-L{kg*%DYQm^&a~$< zwi_ev+4bdxOR5Vuo{xI4C+kS_!sOX+y4GZN1SGqyt$bwo<758xpR=-;Reg(5 z+xUvf-{ek^`@DIq-(&lDFSS=4ImSI#SWV}77F+PFf0}nrZ}vzo4}4<(erH#(Z2p@y z5!d>9daSb@BmIxP&Q@7__U6tezMHRvmM(SKzQU`D$-|XRC-88Be(M|~sYf3<{X(Ok zTzDy8VjC|f*4=S%Crj8qhL&r=5e~dPEIF@beBPfr-Iw(2-Mx9$UmEm+Q!gu;&iIo& z?Q#13>w1SnIe&NRE4v0ydz5~9$#u3?bvBt8E&ihu8@oiNHO(p2x#!}ssAqe|wLZzh zd6nmbN>jglXXZBzv6^)<^3R))Ff&))?qcH!xf=NyL`|68x+*w~+{QIfoV zmcyUkKl0}{?QM0Hf6u0?^1o+x>55l%Pwb7K$lhx4U9!C=`2N)y>pxGrk`s6A8;7z< ziGG!-==OjsQ|_uebA>C9u&2rSxRX`IoImOnvQN$Ya#pS} z^6vQ**38CJe}lwK9_TwZTv7D(cX3EkkT`iR+F|#cDbi;mmrvzQJ)WUfA+bv8kvY1q^s(tcVG3PN>hF!^>D|bKe zmp(DI%SF?XNB8zc9{rHE>H8*}nmDDW$a|7%!6eQoqad9t8z%pV;`r`kd+b#Sx69q9 z|5Lhs`q-XHJ(*#ASt%y?xCw`Db(*;03icoQrzfqQxAJiQh3p$Ux?iq$3K3S?mg}6o zMB|M45|ag=WUl4jYt!v$%zWkk_+?J}mCI58g}kdQ_PttsoK0IhVUEg*QbV=N?khVp5w7M{?+&1Ra)8t z7hg275b#u zDec_pH|o~c$8Ti(S20m2i23b_t`HsH%}U|c#@W?!C!O0rbv&Ca{hZr(yGy4~iiSbx z^YzPXpZOfU=vDIa^ZJK0~k9(oF%)9w`eAxA#B4 zcE3Dv%gUhda+SKfc%>#QChxnYVcnh^TUl1Kd*iyk!fBFsH~Ive{>4Lwv#9H4j3)(rY)p|vJt+43io++sh zQ%r1^+rRj6$9*4XgR1?i-P!*wdcW@3Q=eg%VLbIz(hAn=zs}8ITlZ;mqn45o_cQuDw+D{)(TUXxvlRHy>I)+)k+dWVXKb?w+-IS54~6Hu3GYb-v!b zK-W9+*G3JgS&LPCxxJhI6bgrA1{+$)m2uR?OCMYQX369Ssk?vOm3yA<_Th1`?1zmj z=j|2!qJMj>Ub@sv^TO1dsaM4mUNrx!i(0Qc>+R+@?pCMOSk~P(`I)>(!r+bGner&h zP>bZNM<2JuyR?;Y=`Gh^QMLNma*5jNOD~N_`)mk;}&k|h|^csOIyFZ zKI`>ck))4lekuFuRCC9#{VSGO>)aapG1#34C>QBmJ! zk(caVpThbkW8Eg zyc40N`%G-QYIl5iv_i1!bN>fVOM#+O6>p}^_Ahn(&msKn+=1=dHblhj8E0;1$uiW$O zWPfC6gpF9-@e;#T78~RqI{Y~7)^hQn&#K(AhMQ?RA07qCUd}rtHl_T`-|wbHA(xy? zEG^y`aL2s*IQ2*P<`p7-5ep^+OrI=}!?Zbp>*N8Z+{4kAmmA6UiEwT#ay#zV$=<16 zIN^}UfdhTn6|e4Jm+#`3bFI(QU;Vdi<+2U^bF9j3VuQB1@9J39CehdIcw1Mx$%bDw z^Rn<32?MW93Hp433m90mC3k!k5XFSV_9l9lNFH0vPK2OhRP z?i2M?H$M@&{(x;kljz3@C!CqT=(m+I-w#+JVdrOJC46qiJ8#Wu1!|-|KEAwqZ<41K-+c~*RX?mUmPuK+io4LX;oih8_aB#%v$hh z-GT{!PDdua(RKdD$i8jWF`hLaZP>pb5%#c{n&yzuJU8(Ek1u{V&YnxOlIw5O%U*G9 zZGMrl8ON;#n|#ir-2DtbzArYgn6b?-+_u6?<=yfLr{rC0Rx@jJRLp(8Qg(s$2D^o& z6Z0R%csyRV+{5!+@r#4LZ0tND=Nx%>*yhl8e{$VByHz8?O~-#Pf$o%|e~ zLl|lvt*R52x_EwzcZJvoIeFm+51LkNh{)F|dSG^L>)bV~Y9_GCFHrjx`^xsa_w$Vl z3-n!=Tvw3_v18RUE7hytwKXznV(Y_$v6T@&%wqS2nrJaiEL?Vx>%7hXO|9oLWjFJ> zmA+E^>U3Jvx5C=!`5_4juB zMqb?@uIJgREi-*;?!r}*`nudMdR{0DouxBP#(4Yb-~GIQ-fj64`>Evr(~OC&HJ0(E zb9-OSpH#P}>i6}dB@sKKlTW?xxt|ni_&H*q<{W>e-z!f^YcOU#<6LPU_&b#AMs`Pv zd!dcg2esShGV=|0{s_JMe|F2heY--wZR)>wbH=Vim9CS7_FS3%{bS6En?*^veFjf` z?`3R!o?Ns0!nD_2TXxL1I&HQ5o2ePktcE9?8GDvVvCl|hy0IjtE`3+s0mrA`R=?+X z>=rC_bneIBtHP|NpRtR&H@Wlwq;s5)g-=%}p1JGf{;N^aFGaJj$e(@5w1Tk3JlelJ zolG2mYR&0=zjEn(Lo0b^UFY}fHrMrg?e2f29P0S7uxW2zf7<3oqgD>_E7u-GJ3C7| zm+D>R_}Ozsb?Zw#F6S$!e`RcDnW^3CJ^5nN^wVEsFU@pQy}D-4F^yGi7yN&uKiXLS zc~#YfvYLld7E2kvn{?_;$ZObsKi$59kJs|;)fKM}2FN{{p?KW%qX>(!xvXA|^PR`K z{}da$X3ze*PI{SQOOABe32y%>x+m{3Jen=>Wpb#M<9tV@oqQWPA86fs@Jf7}*5R|K z-C6$W#=d;AXG4EzwRV}sp|c|2&odqWymh%ipTh$8N&|^$K6Phi@iG>@+{Ap%F?x5| z!gTFhr5``%xX)KrIniD8rRVsO>-8*bLN_Z8Yj_nVeq?qGK5=p9|C(gMqO3LAulX$$ z*zZ2vKS9CzalN8rnA)@drkq(`$N%$l{_{^VVsJb5Q?_x+%G^T@IkE{2>rEz<|C-@& z+snGC?X$f9`SWu(c_t+nW_4w6Ett(3pE_lg-TEVo82|nGCuwp0_P zjF%VfWpznw>R3_#VZ|PsKeF{EosOGamp=Pz%;!?I&+vx9Nk^U?d!E^@KCi}lZPmJI zbLW45e)8a@pr+>rPiC1W+ju>(KcQZ;twMHz{^$2$=ci5q{T&?U=n^_|nc5*Z(%MnBL|w4~)H4>wJSzUrr(*bJ4Vhf~#KxPcW@_ z+$t!fyWrtWiDCwaX@|e;_2BS%GBa^yM+Z~Y(N7Nb*QQ^4S<(Dm_U}bm8-wi5rHag4 z5y_csy%%PEXzY+`Vpox{HkM0xP~&jrp$r?t&Emee5(5>+2$hR9Cm2~D*!ES#ZvVLA zeA(puFku$Sl+zv&!Ys2JuWPkOgt^M@EZemveskQjpaLCF`ReO+*O+EX3F|v?getH0 z7q7U&cqIRSqyOs;*4%oo4Ha8n*=dyimUsDj=t@@oGut!T&x`(jxwq7RrUGM@&!1;I zC*-Wz-~V>bn%t0t^HYN}n0OER*d!!+^Zfl+rz06BU^vs{CBxg^$fi1(IV$&x)E7QndoilE1e1HH@lY?Ien{ygx{$;Rgk*uOTPmim{x;`x^U-^=|YPo&hI z@xP?WvGVb{%U{+U$U7BY8M2 z`|rFHW#@W#UVipuW1-^Do4Uv17u>#+YFm9GA$(%>T%WlAb6gKJ{@OI*()9TXN*9lc zf4+TtiL$y|6RzR;)yh#N-)E(%TleC2e2~bgHlA-gMS7AmI6? z*DYr&nc7d)xu`mBtls2evvYIW@8eJYt=r1u-C*w}%zNX}(X=-kKB|7In$`XGXZuyQ zzQ-<(&Iu;_FKVu8*`2XFMBrrJy)tWtvk(AX7pkL;P*8^8Ye%0Ii(S0v_r@aW~6Q*+>Il^R?U8zW?aEbJb5~$BVl*YZ^@y4EU8~BWyQnhL%k0%l6jJ z{*)H^?48lSFH>4)w)Q#wayr~Kd9mSc?#LfC>H5>k6giKCetEgeWJcs=j)^Znx+;AZ z_{8u}HqCp^t(hNZzByXQ#-XyzPm_uF(2}n`wb@%c3t5iM{2KIN!;!hBL65Iy#Pt;^ zxGtIXQq!mRteIrrl}ksiHtp-{X#D7UL9aOQ%B@pf47QxVO_dk%UvXVw8R~s)cEs+e zOA&V%j-F#`)HSO3yL;l3Z3kIRUfD-hYCf7FUS!hY!uDRpI_G=O(POfW*DaEFH!|p% zFaFwohGq8cSKsCp@cnOSnf>sA#E;gO8kr|mFLW|)^mjG?AF^}eIinR}*O`Bv`PRPd z#4?Uff1YdQW=*RDgn8HX`y6?9q(|3z%Zc`7w@jNSyiS-`?D+E3v9tW8+&gBp&Q8yj z=*pj@;w1dC@k;6M6^Ap5xo6vK=yI%nE3x3N_0rqClP0U&To52Kg*W{Bmi$J)l?OXb z6gma`tYii5ZJDPgCLEcPcHB#UhO1`4%e#gKMtv3xn`-v{G4<-Gotl#u+&|4On~P=Q zJ|~&qJqIKev<$vU$N60_UE8;(R;&ArF^6lv#P=twq?&#_KfO8lkPcU{QR_p!;?lm< zoE6u9_!Oq{&OUXE;q%@5{ShSYYJc4rSQ{3*S9$@Gnf zBjk49uz2(R%%-JTS>ZnqZTjL=Hly%@jZs46-L#k`iti0v+w?3Py}Ih%R2WJ=NneuZ z5Lop(oL76sG{xqV(MO~LA3Qkr!EBPr&e}5vnvZ^BZTS2BqvH?0(#nX2z(X6aIqDbd zMI>k!U8_2^A^pVf>&AK2#X4%6D@`H}RnLq2_&N3G*^fFC)W^-Y?gWv5Xp&5k} z`CmVfTCHCbsk$xpXI1i9)1GbX+k+?Gi<^HY)?|~t1*byG+U84_(hjh+2+A$Jx?k?Y zOU;8lix;Tfd&d$KpKGn+yQ6XUT^+xfJ7>O|B@^AXWqG!9`4LCXgtfKu4_1dvzVv26 zSX%bfuBTtZndfb*?)xjAo5i*5UAFuG;sd9DKYAlPC)S|!Ptv{{W#Ky)O`I%xKFaFU zBs=zt?058)ju&T2nuUJ)`CibAdFOM+S2nk~zpQjU+^xQ}JV#*nb*8#&MfwuWma|Sp zzI9R%xqMc6mwGn$^wt0WC0DPtZk_$^^V&@H`wyn>{j}`C)T@?T*JfWyTDw6l?gPgH zgH1o4v$xb#sjT-A)7;Yc=l%V-TX7#|lzsi84rLG(_}ABUpapXW9g^6y+`SG8+zvWQ8Arpx6!tB&t? z5@fx1d`fG4K#$V?z~35w1b$s(7vEBFRrc@)t(#3>!-_sE^-^tr@$8vkR*ucZnUV+B zPQJ=}#vmy1MOMDm-MzeND~(yFiRV7JvDGW{``zB`*c;W|ktQ3ry?K+Pw(oWOipj_8 zefju;N){!1ddCK_{dyhftZ-+k+ZET^a|;hv#V*b7S5!Q-&p_wk!dnd5iT2yrL%(YT zt~;30 z3imiWBk<+SfU``V>nC@<YatZYa+T`yiVAB|FYweca*D6^HbOP+f#oY zZcpH-d=%25kbW&#XxnS0DH47f%QY$E&qRl-uqtST*Gv^xRp3nA$xf>rIn|jKZ zQ+-qAs%Kn^Y0BYs1)41@Iy^qN*=Vibl<|(kZ%6gE56wbFw<6Z@2{cT~_7!aVIiE#k zLGPP`ow+amSv+OX$Q3T_(K`Kd)kL?Y?Jwd@Upc0xDmX9=sWVeM&p)NxEzX32;DVa@w`MpFTXn zt=%J_RybNOb@jB<&Fcdrh)r)6%IF+vs2D+`0Df;&PeGz%$#BE5ALJo<38MO7C&FBhXUp(#qnuJXoML&hI zODM^zwTR1G_#PCjn;B)Oysq>%$IEs6F-s?CF6^yMd%;z3c)#GJF!2=*M1kLTdQ#6tny=Z-cuJxP`H;o8`C)nn3+^R{dLEt+2Ha(nu(fU>E6QR|Iw%!| zS~*v}U3j}PkLBe(vqJ|?e=sz?|59F;)860tNS%D;Kr9hCK;!@u=L!%d@ea_*jsOkzY?Pc}^vx!;-~l|IMj z(_|$LL7w2<=PF*uCG@t#bE^NiTUT#dzh8cAC|nS$3O+d%b7)lM3}a zw<<(A-FS~Xbcwm&Z8*y0`K0G(?9Fb|>!*BuCj{9QbFbxa^Q@cJ?D;_^wafp_sT&Mp zTi&{@xntn+H0E4XFS}iku)+)hf#BWCrg3|fOX$XZZaMvX( zUzhk2?qq#u7Q0VF;4jO>w_APQ`aXPiGi^`dPU-ie!F(<{uWJ_a8ZDi1aLVRmO~21v zSh}H5CqruST1&11)0%G*Msokd`4eg^&NygEDQv%EXR;%(`a#?3A8$@2ct))K_$GD! z_dD}uWd_}v`|N6@(hU7q7mg^E>+kJ*>ocSH!j0uoOW$$1YS@O->)W}kYo`=cc0aV+9sF^l$+Wv#4nZmZe=_Q>wc9yCH$!7Zh;_rtz72^U z4;L0>Tvy;~5t}0ZXqENEdB67jTBgkUz3X@7$#e4Ix4v%Iy2!%gEv(A-`q`NYn=H8g z9+r}Svqh_tN#o#?+Kf#~olmBj?KRoZD%s|4%pok<_tH!%y*lxp_UnLS)_FchKks_C zde!p7{T=K-XZ;BG`Wc}kD7OEQ?t`aNvsOpVOI?4wEK01p`fci_rxAV=TYm=`6cnCb z;xQ_3X5A{;O7A@{^qx+vFg5=+Ro3#|3Wtr# z%FS1vKQmMdU-i!M>b2vg-ZvIUOV=J=6a8p${&hp^j`jcd8=SmxY*Bkn*jo9pLggC0 zz~41HUvItoo2xn^nP2x%opg%vE~YEXZF4xpgTKF6a^b*^yBa6L*t~tFoygR9HsL_o z_IFNQ$IUkF4cc|ncJJxuEH~eLWD9X~na^Z5bKAVb2NQ!UgFL3aJvJvcLglN*0=XOu zmzrq1_1kAp(pF41vlC<}o-7e<-@bi{-k}R;g`X@7yZZca{;zUrPVhk%y_f@@TOU}Pi(f+v#q<9lN)%8b;oAWWnwJ{|NLGiy2dE) zUG8G}X|^^|>vYzKvflMg&=tMKE;_ZX?XU^|>W$~uc!-p}wPVz5zB02b;M4(k^NrVj zO9(1H08ck=owZeKSt%uR*{Iz%1x?KwRROqtwwK*CrXinC;BKtpmGruhU z-xMSB|Lr{n?%V%&UCci9|D}1^y%nn_33+h{iri1`lCDo#6fKylSKsQ~;POVoZ^@&@ z6JOu|&aCiCWLl(fWywu--7zx>|KrF9P{D+;YNYMA%) zcally$=v7XSmbrq86Pz%KAJG|_9>R+;%lvSXDes#DLS&vA|NGu_m`!s9@p-aK9kh3 zDemO{PP0oFw?1=KkBZ?*JZ1jVL3-(@v`O+Wf37LSK`;{qM!khq) zr}|FI4quN8`;+T;QIi#;e1`*-?zDt=w!vAxwO&`6m{ z$?4LEg+IdQ#^kSRyK9$z?80jE-3rbo9bw(6m)p{I7A;NR&dt%u%zS(A+9$<(8Q%6R zOTTmI-)+g1RU6LiIUSI5a`OU-bJL!PGT%Eg?4N4H+*)dp^0+b#9wFRR`=RbT5}vozmyG)?5$d4$vP`LQ1=4GbKSz5e?J zzO!bgo_E;eTJCuEb*xQSQO`Ev%fZ|^MyqVU-6?xfc5z?&tpc$*OLVT^owr`!swYAoA=S}M$u2#GM!J=Tv+uP>bs!ql_>@liimg!u}JVh=xEkweH zS37Y_;-k!cOKvu-UjAMA1-Ja4)1GP5*NTQ3NFDEB64Y+B3p(#L)kEdxm5aAiH{D;k z;DTtTbG-3fm6)&PYE|a>ZF?sPd|hy1P0zySt&tB?GUq9*z5KRv zgZj;-4d3bmFRqyh@RORZ&!5}Eepur1?Q8uI?_?#ZzgK5S1Dc~o0^G*jo+E;^w8{=KPuu>uV)kzXYO>@ zh~62s{yB?^k%Y98&Mn9EWQQ;3-#jQ^^ttL*jIU&`$^SmH$(cM#@^1V#D_7q7x<%vp z7L~HI|Di(78ek9vN%S3mX%vlT2qlKcgXFPa8je`L&XF6 z3qOPuZ@9Xv@%4p6L3Ka&>`v?CXPDhMOEFYjn%jy0_UTP&U+#rGn^kL=`0baqp^5yK z=~Gl0_^X*7KJHyKO^nw>oTqfA&y$>8Z@0WZaITO|QPFLeMax@*S*jmOr+nId(n9+h zoA|Z|4>!au_CkeqIrBz3MxpJSlE4)Ym%P{y zYq;khnarsYduh+^GqLfejXN?OJ_wnf^XfUgbDGjs!~NNXI@?zk=c;WNx3A4PeqLnC zyx-f-)E@fOQ#;AW=IPyPi9-|o@+)p~L{IQ!S$LE2M?}o$5>}^g{gqGUn~EhTfBT-Z z#6!7H%CWj-c}MJPrYxa+ziu1NP0rWmdY`;J@1x+68S2K#A@5RTnAV@)`EX6;8LKqu zZP|JgtUaEco$Y(VyE!n~C8RaD;&1f&pGyQ(g!85fuDt3T`SGLI%)4%1$~gHmax)oi zJ#X^OJGAV`WQow_60!oXcRg}T-?8RRym#$yH32j6;^ZmO|BFf{i0W?MYBWD*$2Iq| z8Dc+VZ*IT&$MtDq-Giv}JB)cAwq0jau-mP(`p@T(o{3BEUX`8`X{7y+mG^9q_vYj8 z112n5{Lbv&>Cf-qzPhyVwo;>DV2yQ3$BetIIXgei@p>83b7>>ruREFB8ZV0-t>&op z`+vCSkj#F+^Y12VhZpT_e0KGuw0(Yg0b|qtZ=!qi{S!~9`+t1Cr(6XM}&T9X=@Gid{zCZEGBa9Yu23#I(6x+ zALmWp`n|i*ectMKH4~WId=mc@|Nh4}b=i%(c2cvyc53D1zcKNV;mE4l^yU6L z?%r*Ijz*i8x~%t zcgLCR+!!S3yi#f74Q1!FhUbc=yW;0e-g%&nE&KV#(xbIp3pVUsR(jsl6SpG+4{{#n)y(Zby83I+!@G|%uj~}C;hor9cq20E-Rrq(Vjm*x z?{+Y9$lLkcI$y7_=LEyD7!Ss$>FV;)$`?vmonD$VCs#mUo+1y3!Hdw(`V7- zk4$ekg*E0H_#9q2RsF)@6MGM9E2cPBh!;N$tTH?EW{*aNZ`8xI>2vnZd~!-*M;VLw z?gft>ly*K@cHk9=|!`UimKNca7ZkTX?45 znJvtb51svrCcob3lk(m2!A>Q=b*%F$9wwePn5VuYC*7T6Q%lwITCIvrJC7{-67!Bt zATr-FQTHa#>uGX(P42~pypoRUk&j8-cluFa(VDJ@eA{wwp3hn-n&K;{oFMKUCO6?{ zfZneoIaQT&A3N{0R;+FJPUv(uN|6ZD>v$oso5$~f$=eJyD_PgD&ZvCx;@irmJYOW1 z{cv*;mt1^judazK`F2!ElL-jjJ-DXQ@-D-q}nLkoTmjr@sZ4( zla9&mv_2ly`)c=>{zZJ1FV2c@ z{j>I+kn^2(*RL_>ZExI4@j2V%^y7?eo*uXL-G5VG-r8Sq^3H-?&TOfRHyUwng9#xu zHIcUql70nm<2Kpa&9Y1pXQH^*OMLfe!0XQe4Fzi zExe*>|2gT1z!Z}yUAz$~y-%w>f7!>bi)SfX5kGa^TPIbfl%_PkT+jRk=_}9KnctnK zzkPAv-l%!`U%Dr7mywvIVXc1D2b_lYxfXX|cfv$|b;ufXBnyf)izR@YXWg?S14 z{|G8;tY%_+xnuozeO-IIcfmeUu3nZ0{xPVsH*{`Q?+&-I;_)r{vf}HcRk+>drYRbOMEarNt-AG-zSH2d!Q%d@&BL9`*# ztzh;~7gH~WDR1Q;YqqH$y#DgL{Db$#U%m({f2myc^pLAa;FmW{Qv+k7w=R9_s4`_w zT({n<7rrnMwKNhR=-AsA@a?bDYmgRGFcAP2RStpj%KF#QS zNJ9H2!Q(Eow|JOog{Yjbk=oN%sQs?efBDY~FUs|U zzBe^4NN2V9i9dZ>Ix{YxWqBU^d@YOdn=02Ld-j^x?K%1TlP{K<$l6xi&3u2s>&g4Y z^B6S3f82ewcc7<%Nl__wBn|J7N3JgeS?T`Gd}^ zO8O08^naUJ22r70&3q@uS-*bl*1gMcX_Y`w$*0#J z%e~JZXP$dj;MtjFIiFU35J=B_=5i_I)JdU}SGITBPHx{_ymhA3w9Cx#dMO+0!%vV&+S&D>lLKl9x}LIVEV#^&5G5o{`48?|+$9bNBm( zBW#f!H=l;r_}6s36=w{QFw)$-%=we?QSsM{=6s21ny+$X(M)a&JEvL8D-Lwbyslr8 zcSWS~5&!cDm7crTgbQYBCfZL)=s9oFXxTpXGT*V*?M~|7l7BwvpQU~0LFiR$sl^*! zlyOyTV!Q6z-@DSl_=O~2ndHXb_gA|5?s`*iRhzgXdqMvM4^De7S<{L+t)h)r-zxm$ zkiArT%3!~9@}AN|(g!>r_-#(tR*QBO)UnQ69A;9`?P97?AawNWyw^5THs9UV&VNj~ zW5XbQ&Q0t0Le-9!rv0v}uG!}MwOIex9jY=9eDiMmZ)qvlz!Db@WA=n?j+NGi*H&(p zdL>|LG=o#XE%U@%u8$Wsvt_&WhB%79IA$>Wh~2E5nYS@`jal9RDjPO;xvF zf+t0dtPMxN9#cA#R(wh&Dx87#)KasUQOMJPA_uYy8C$fb2 zo2}KBM%g-Uyk#3Mvz;+@+lQv5KGUT48m-VsJhXhl4A#Jl!Yf-7&G^b2TNceP%+Ou+ zt7!MkS1)!|mF(ou)8GBtE zOZnBjuPs{z<~@A%)iULSSjG9-Cyie-pYe8f|%3_Fr9}eOFV4!%khi;+tJ)npc&|`5TLu+FnVzpLq9iist9<9<97ga(iku zd4%+}8xDFt;Z9Dnw>H}nd!xdR>HCqg|I>d3sJUJHf4b06$Y9fkfAhPq`LMjn;rXBb zeg5Us|3Bu-ta;P(Kl}eRu2qwAde5mnmXi};+M?M!oyt9-p*ZF8ZtoM% z((Lbjoi41g*Nr)$y1?MYt$Kliz;h0^OrlI)j5QCI#p}s!byMJDFqai&dG>ZYU+S$B zXBY0}WU^hmre{t~jgr{UD_vCy0`KgW{AWwJ+^}~aSB>mzx!Il!KO~-rOLxogMkMgQ z`(WxTaEIpy?-FGW1351nCeg>AL>~*RV_n0|v7YOOY9(ufU3J1f{pzRJPcr=$LQZjyK$=V2iBQ|yY2jY9oa{&0hH>*~%Z zGs-*?Sak9D)7nmMrTGikL>i{Qkha#>Zmp8|T=s?O%tvdpkEd*l&sdqpWM>&z?~Y$6 zTmALj_ZbVWEyz0a`|X#@yJh_p=hpn>sb}I@vGgl*Sw^wCvy|Mai-L2iUOj)dvgX6) zTrpm@KXMiU4gwPd5@balY~A?rMR0gRF8Al^oImcr)sqtPcs`3PyJyVu!L-7b;s5%3 z>Cp`584{{lzyErpssBcQ>%P6r1)`0!7R#Sxv%2u2{r75))6X>D&ORJ(%d}Viact9l zz6bx_`pvKLwDBp{u+RH`{%!xw6=u1Yx;b+$9gF{A?imTNEypm5AuYR4sM`oF-fWZ^~7Y7gj=6~?emb>`Yem=3P{r$HV z$-if2>v^dEdb-a6{raaGKVF{~{$&2-_xX?KZNK*adcM9_;!12y&;7Ss_@7U|ugh3j z@$j@=+?@5<9QR`-zHgmd@bCOo(Ff~O=XE;%d9}W^$iqNxHpjN3U#ojVGo)J`&L4;p zORD}fP3~p8Wyu>0zD6hJpCWG_rwd#-$Y}B5{Eh0_ldWoWbhBQs_+`G=e%`Ot{x3@$ zdLL%3&wkT+*mhx8mCWx`A1&oN_uKzD9k?mY;rxEtvi}At1@`j{9PS+CXRw}I^;J)Z zOKL^z0{^S=K^zTvr{asO=RKErq5tRZp|87h=ZGcPzu^D4zH7#<*xKAP-_kXb&%D+D zxL$ho{f2#VrC+5|qqJBLPH2I?J z7I8Q0Rc@Kf-}S6FI&ZAt^0F}9#jSXq=iS01d)5TRhW&k5UBB9C+cGw;fUi}rFBtYM za#zaaE#cohv8=P^P*I}1JL}@86rcCC`FYc9nmlFJ$6U=={O|YH6OT`tyPaLUq0eW& z+1F1S_qrCwNh$}-$*z=aze;!Rx7?q?b0g>9-3o=XXliN>ARqC@Aj3D!)%+ z-sv+8#Mjn@dZp=qJ!JIs%ceW?whCN0uw+Bo1G!5RoR(Tn+V`ewmg_xvo=tlKcQ0GVQad%^|zzU zoxh8py?bW-tjnt?Oeun=D9Sn|BlJ(h^R>Sps&?2{C?74p^F+=s%kYZ#*Z8Oeq0TvX z?-VojM0n@&zL}kxw`TQ|g>T9{rTMzPtTENQbXGXefxECMaj(wLb;+9S6;(De`Io-$ zp8mnI*}y~l>*8mzt>x?d%9EOlM3!0A?wmVOajT<=Uk+4rU-?vWZ} z_Qy>|I-R{Gg-;Hx4UAUJvI_s^{qaoRM1P)_AAb~`U6OHab!@R><%zf2@2hLyEdBhD zD=&3XsKd)e$)!^Ro>gURpK_-=NA>7Q6}QM6@ihw%_%9K$;?dT+Ev$Sd{E3?O+28#p ze@?NTOP$NOshY>D+c0+)>tp`*m#(f(Gq?Xr*f;aEu;xt-{fy&x5~iG9{-%AGkldZS z&+T%)J)YBF=Vg4Y^S~kwWACNSaXTj&FIo4=W?mtW64%lvGAXNjmRzY>b+Rz?(gErJ zo6|#*=j2K}UtBm_(Ddj(mA2l#;vbg&k;ms=crr2ZY}m{b;`2Kd)Koh!{(gUDYTX?1 zm4BGZ0=hQKWa_Lhamv$OGfh!=+FG+NC!STA+P$w5cdL~uXvu3TuV32u`r0!Fy?yz; zrf;|FMSQj|IaqBpIg(GGMdaoF#%pKRb%z@Kkrgg-x$`Z%} z%NiFy?t7>@(NrLY{qCgg5&S)>L3*r-KRL?oh zBfV;OKZ(y{6X$;V>E*w`{Zg*F%*jPdSROXj_cZ%QqiJDV? zd$@}ot$kYU_S1F2Sv^w&(QTI>s!lCv%+OxmC;a}F_ueGIg3X8SeJk!M5ME%cG4I>N zzTR6ew`sQ?pT?>6WYX67{9h+#?#$TWyxQ8+ZFh%M&)MJec|5x>SBcKMH23%K`Ste{ zcP+KaO?qXw+E-z>hvtXa4ap~_K1gM&@(Js+J6Gpxtg-oh$s$YMsIM!(c78u_TTDJd z`LJfl-^@QS@0410oUheNPi@0J&)E|26aMM0+UuX__siyS1*p$1_dLWk z$#TKmxT?!ZX=Xg%(+WNAaOkBK%--jq;L-LqNa$zghVmVr8b7NGRxeuT@cMLt-VJN- zUu%}^E}s<5o~X+fTKj`(^0bVzekRjuBd7e^7yM|I_}R7nE2B=eGEAQTu=#!V%{3Fc z9jA-5uljmq`@3WHUkdqCzeuNY-AXU!ULa9eD{T5jAXIJnS}E3b$w%HixoTbITA_}-bgtX%Zxy?nF9 z4{o_#?Yrc*)W0Tq^5v;oiWxcoW#-0)M!a(f_}KT<%1^QC+Hz~o%$X;YT3RzI&a>Aa znw4<-Lc9C-{3&1Nf87(WVY{d{RQ&w?+0(+KZzy>uy72k-%s*N$Ubp+`%!PkGjV(n;aZvai*wY#V|(o)pyQ+&1pm3&wP$B6zc}3SyHggq?txw7&MLnqF172It?pKFl--;8zjNL3 z@9P%w>-fwsXjprz(s!9`*YtIY!A&vWl%|K9tO;5=@uK^78;^xw80hg{VRyMM?3e7;q3^rNQVL^(Z^eJUk2e&TTnpR0K;$UL*w>yJ5>@atqv{F1V6 z>tB=3t*g}Ew6wA&YFE_FvnkHiO%UIif=$cuw4sIgYBy`cDO(1phnM z8LzS;_E=2Hid{xJe`ne@n>n%k^G>ncR<@}1zdWq%uuub$UD&Gj-n zq%?%__f>bL%Du`m$#3`cm#9c5eLCq_UgI(~=AhFBa!B`?;<@^@VCK`QQ$_#Y{42Rx;+pODEnAn$d2ULr z3!nVE{fxynEsOh~HT}2dGzm}AGSIm5t3hB+^uh06 z^FE3x&98{C-pZoYcrt`{O2x+)Uu(B!``l}Odr?42lvlZpRh~ba%cS^az_)Hz3BD_* zT7&jK-eK%}q2|t0-yOFnRc~*sk^FKtL+XFYm%Z2Sl)6mb=~!8wE4e4{neN)I=oc40 z*%_Yr@5S4*4&F{&PhEGKn%Fj^m`g=($%;NQ%eFY&|+a^tuo}A)8e|46r#_JaL zw=E~jBo-&^y_i%c(dsGXyzX~~wNjz2WX$Ehcx9E>VJd}zZag#UYEae8gE{r ze%3jim5T)OE%ZAct>o6$Gpp(-m|Y;|xAVHd%Kp5@kSLkmN40~dUU-qGu&|->=GODC zOKNV1D`qXMv#7TW5IaA8hM3kx&DfmM{8J07^YS!Q82sL!DB`FtuvvO{%0fYQnbn!s z(w&ah+ded$y@XMR(bF^W{N!~ln-9e3eOO_+@Q=BGzS+BAAp?^uo;=bn9G?3fZk-M1 z{Sq#}e%WHpqrN^_#^Ee|nUmg@9pzMdHzT_!?oY?&%gMhsJI*rafAhw3d*{(@2aRqh zb$wLMGPvHSAeUV*lVO9E{`ZBQb=%lfmfg^LqIgB<(Lo!7_Q--SFaOmXKNE7;ucuIO zLr#o6>!o{7D}*;$?U%p3mfimFp9t=bn#fOS=5u~?_|FS#y7h&1i9Ty^RLK7J6yD5= zj_opq2Oby%e$-fgOpIUZu z?eW={nx$t?y=!3@^L@#ziX^!QjOL4MUvzUEj%Z)bxOBCEE9>6(lbih>l}wdgb?ozi23RpD^{v~9QM9?v_OPamvN3irygDY3U`j_1^t{k3DJo7d{KJs}kB7T;_GPk6yLaRScOMLup&tc)WCvPaSg@o}nNwO~Kndi{^(X>GBpZ!|X zzqZ`hkGD*FUHkOf=l&g=Psq%g(#Oy*D;xOys95`BUO};q$^x}t_yaxOCxy-yJDj;~ zdxMwS(dYNn+zo`iT%H)c_0bV4zPza8UDm&;%Vum{Cu9C%u1#*C5pdI`OkfxH$T>C95^q2S@G4r6}xYwS=M_mYM6NE^h6^*mQyuP60|ogzo&6* zW&Mmajg(!R0&1LJZ=b^USZu`!|63s%c^@xHEZSL{oB2O%UajBTde1*Eukh9U&)W21 zHDB2+gYYMDj+!S!)4dt%HCcIcMb^LDHpyn)oV*P;ZNyr?z3}WJ=4#*YeHXH8Y`PcT7>8->lpeu|QVqy6l@T zXI$i1tX!9}_^z{dS91D26K~${JVi|r-2(MfBXs#PKmM*cDWbPRGq_8_=&jL|;I4HW zZ|nTN)>{_1Ov2-x&670as@4jv+1n2-Up3Ej)j`hgqn`e&8%?LYlgt#(`EI)?a%)pi znXY1RR{noM%SOlDf3B2-r|l`=zL{|UO660B6YH+Xd3C?yTypZfXHS7^no0b@nnnNa z7$1pQo>tL0)skV+W5xMf7=t`jUMy5>$=YW-lV9|6dGPZU*=yR9S&RO1r$jEh5&W8= zH%T{m+okLoJzh&LS2y}QTzhl;#yQuz%@dMRo~YGqQf*(Blqwb;b9!~9-=c%BbdDSr z%HMo*VUCHxzT}f99z40?kYcstPTTo)$urfKcsgp!M&J;fB(S5vT z^PQN@`erA5r~lln|E==U#@r_oUTSWY1|n5be7qZPSbOcgEjazftG+L9*XM6oAM|Qz zK+OBSpB{xNpIoxz|J?Vc>pgE*n9txBnOc8k{+6vP-kp@!c>FTwTunlLTMgg7A7|g3 zU7Gx-XAawvuJ%-$CR;|PZ3!zl&Q>PYP2ee*)nIkyB9o-Z_bc~4%4!}Fzqf+>z^1K# z%(9y#US(~FQQN;aS>J_4ck8@|D}7hQ=Ux3@;nI5d;g7jX@>Zt2<9o{e_@%Rvg5LHE z8{K|g$WxQ&l5RNTXBT`|@$f;0*fSAxc1&!0v9IR4Ym)?t3st?Osr2BZaC4*Ezm7!v*+Gvvw)u_xAl)S%@28T&Dz#9em<*uW2ak-V8iam zw@#nGC%7^=?}pPhi?Cl;&Ia*GHcQ^GVfpMIyCvcIxz>{|yNqJ{Up~KcuW+Bk%2Qu= zEI)ta`ni7PeY4!#&ux`_H#c>z?W2TGOBY+TSFx=`MHdYb-JVw6L zSS|CdWG}8UzWFWC{B} z0lAAR{=!jL?7zKyenaAmXg zL)SYz;(b2_3s3b-ow!vvqNU>N6E|^AuJ{eCi~*-~ZhaF!Xu=yRP<`;if{mfyH12%T zualA6Q!Z^OC}J*kZ~Mv(w*~%xdHXr*hpAx0<;x*891|P=`Dhjh%S2zE{)s8cYPXvH z)M-bw_mt#?aW4z`>zY3!x>qm5Z`nhxbnVL;w%J!%0y4~>o@;z08XdNMd(mNsmzHT6 zd!{O$>r{2swQ}cQlYC2m*H!m?`x%FwHuK~ibFcXjx8H2%t1Xk%-B)(b5=gUE+Z#Gv zySP=%(%sieQ*z0n>dai1_0M}twVThqzH9aR)eilOK?l<$b}sG|el23%@Oe|`hGPax zcN|eye#5ciXh^xi`}a1_Kfda8zEu{p!8f)=^vn~78J{d$ul`wZQzzil%CD2J^%^_e zpS-Sm{j1e0qAE`w-?97iO1ry`Qb*%ll8&<9|oW1#4l=AnqBN5B_&Gy%xUz=|G{<%~4v=@fW^6^hsq+6ZZ z>VEbvdz4XWPXbF<^A>BN8^RYRZ;!pq8Lpr*>54%3)|VR_HtdZL zT`F=FKg%3b=F&I)2+NF8O0v^Tddm_YCLPM%v!nDDSWxT zPVe;;)`#S5Ezafr_3XokmDBF7mz}C{^Q6MNbJrF`SI>AGlG@{Z-1UW4#5qPozNNiy z{}|j6t1n6anW1GgQKz=ZX(_XWZQ{L?jc-=oG)r^gFZurV%&9Fai#}~io^g1_1ec08 zkq1rw7=Gz?6V5OfM&XZqu zNLwl$R-9)X{A4O?*XqCv756Ui*q?m&;2f)+(ef6-CzGR=Pvo9gAh6VN?KK<8ir0}X z;$=@JUk(m@m?ku1$FG}vPx^k6sQ-Fc^3>@oGN%hu4L7{G5Vmt&hqM09j^<^xPyB;4 z-}yY@JgeF3Q*m(qg^->}`+BidFS@Q@!oBtM+^?ofmN(Q?rcVi)^P8()@9AI8O8)nL(%XtEU!1F` zn)g$pX{w;ejDJzr_Fr;Ixl}Pt&^5|!q26ODr91oIo(kFgJ-4Sf_ujB8^x4|I=5@rqT_4%bNSLWeajwv96`9$8SJLI^%2oQ6Ip?=83f^pJ$f?=g zvsF^ux&OLVql&_vMFp08+F$-~Cl`HXUh;gobi$wHBZn5+uCsflx42JUiI>^rcHX?T zcTPJT)+zk4W3654-+sJiyiTvZ|(>DDQ&3d$RLE=G4l~XRYdJpS$PaoLO?(Ctnart`x z_45|&oF2P!Z(P-n>*X3|A&zY8emKh)%&%HnF!N5y)8zV_@-yEpy2-4xv6Z#t(r&(w zdl~0mSCb6dzSAnmT<>G>p>(@_LXyk3-PS7Gu&+JaY&Q4BoQLO`S5!={-s5e(^Dp#I`+qNf z$F06DZ$F+dmt(aRw^ubxpSS18?FWH-+%k+aOxEuUR4s|Q=jGBVQ@zA^?za;k(+k7C z3gk$ykXaVARJCD)S!Q(j@i*V(v-K|CY1$$maWwB6cll%qifPYxcIOy1`bH&)XESYH{o{4f?jsSKeT|K|)`#r;vQMaADfgGhl$#Ojlvl2w_BH(b z48a2r7wz|m4c{%N=&>|(bw+??%&;=! zE@Jq=UU7cP6+xx>ZL2Du8(h`-;c;on)F-pz*Tk*oSadLNdt7yh$hV9fNAAd%z2zmR zstjkp_<5y$vd&7^?Kid3e4Cnny*$Y#d%Dgty8T|G4+hDT-M#g5Bp;4j2sW?OiWzMo;o>Z^S3)zx{WV|72b*I>77ox zB5_D)yWpoyy>GRi&E3A(G-+v~OK4+^pXQaUCq8QqZFCTQlcS zKY07(lFe3!ncq!%_M3!*nGkCpk-+=(L>pMKV z>n7^nYc;q6g9cZ&ry5Ha9kDWX>%txFW!Gh zNj_n%{lcZ1|2!8wi+b~`WfiyHP0^l(T&J8n4+uS-BihL}``+wp{3g4U8CfrDyxI`H zZH^iH_gxAT-GV193^obAT@okL*)TKj@EdJUq4lwSC3=R}M6YJPTA=8)F-JkclSXv(LS(?7o`lOQDlAfKn`OdgF`$#}VF&_aD3W zF7=t_pXUELjHk*)^u^P4Ct~}~>KqP#R=Z30p5B$j^2BWCQYV}Li!^;MRRy&u#L54h zQE@0IGSGL&=MeME6Yq>e2tGD)xX=9QqRGmvB1UClk3!{n!@>u442>C{ciuhtNX2ZS6}WkpFVq@^=d=4 zIawP57kEZiZ!9pF6ClE%u|ks}b-Jk3e@6ypW>!XKW)~$3i%gvMO-()5*cxtXZZXaI2rSHg6S;euTGQdgp(4Eg2 ze=9!J@$3jV_@lvo1>>yE9*O5UIZpJi*MH%VCqIFiqa?s4zTR#Mx5lpn<#jCaET8Ij zaWc%S`1IH!jZw+sKgX)4#=GizZofz`aAInB#+b0;Lf!kyTX9uI918y;kt3@9bKimla(BDvF!({lZdAlehLxiv*L&vP&7I8II3r7ivi!GPSGFRL8oZhXXHs$i;{FN7$?AlV{HRH7O z3)Z9S6&u%lh*w_Dz;xj7LDxktDk=>HW(+C};aAR2shd>!!aZj~{4u3z5B|KXjb+%J zCQ;atdgeg9(?S0K`AiIx97~oQIKTIwon>NOQ=NxKpn{B3RAmqA{zHo-TQ={z`8obk zjRS*r^Ye0t0|)Ky*}v;``jqLhL%k#ahy3;x6VfGSh)kXOJ^o{SL24^Q0YjyNk~4#Y z3%3U|LuF>J1e2GSLI?l$8vB#Kx4pLwO=x+(b9%gK;j9uhnWp(B8qfRVuO2oxe)esD zcEpdrwr8II{oD}H@Xdai{k4OK9sj0(`E9SCaev+Wy%+4aKH0zd{r>F|Y58(__ZR2d zABnG+lYBzFePTtqfh24XpgMlGnNz)pOdmIUs|DMPAF)G}*FsmzMG1%xN%TUbk#9;jG zK(VQ%pb*2s2o9DWX9xB`KS$Zz`;7L7T=xI4otOW?-}HKw)dGgQH*KFBxOaB%W?O3o z4j~2wqqAo=C`?`?dsa!`K22+xe@6Dsllvx@UfU_`QYUrDKY#xb=FRMBArGSt-F&j_ z;vE&M-CoQ0)Z4nrHks$?x+m+^oVhM5u=i};uQRsRPG{dJ#q=+2tCBT)DfoTkKf&%z z-!=2TN*#<@_hMP?nk2#8QVmI_8QLG}U(9SUbJi`dO5R*{WBVDQ+fVjhwd{DrW3*QA z=}vVKy(>3e)0~|GzI1%=s(5gFrj1QpkktL<3zgy& zaN0liEsiT}POP7z9xk@&LKIe?d1_RUT$w zxZlHO^7?7d(oVgf4lg#}WU(_#c=BfTNkftP_Nu$Z?`D-w4L|pzzF^&zR72GX6Rk^k zp7t~N9GJRgi?r#CxvM5MznC)3=GF|)Cz4m@+}GotuODckA1h< zNWP^asOyGP;3cOjfo$uENh?Ap+qAQNvOcm)c+!Qcn)lJ!{`*0bnzQ?lY+JmuZfBK!BDeJ0u!vvD`}G6uObiS>ip(zL zM<3k&M)b5_taJOH2;J6`@3rQ4gl8@PR#Ipbv)#G4_l(be&KrHpv*u?6A3vybb{G3f zxqr{@=AYfK>U!bEqz}BzGKI2dpDq31Q@7r0<$^te&t@!_()+Ic|J0LoWB0pEAKrfd z%qD$%+BM4zeVaLnMjKtu^nbDl-TvYEcE8`t@1OlsbJ}WR_&J}-C39ZIM5V8Az1fx~ zq9x1vbB$zxjgGfe@v*wT33I!}tbcsI$<=Q5_vvh=voH1^-jQ4>c5YHUN0;829b5WW zmz!!{;*g=bqfhAb)1`m5H%&fUX<4VguPed%6sOa+ z9W}SQey>Zpa9?rve!i2q~>M6=zOPwV!YAi7<@=9FDa+MZ*79G%~tSyJ80S*w?{ zX}84WeR3b8<}N$<*o$A{Y0>QCc_F8MF46s4{kmdy>eQ&^HFINJHvZ5l?wGrFOW7IL zcz-3a9Obnq4YnV0y!Wm@YX2f-?bQ<(N@Zs6eC~I2CTqzj1#cdw$0i{M`#OWp#U}SI zu-3ZLU(V}xx^L!zd2Vve%MBOrR_?yQw`V(l`{w*Sh3c)n-==lW$;sO{b9T1O0WmAV zLpO8UdH!Vzxz1p_@uT9gTX>TRZ*gP&v=--0FN@x9-K%p{voPDkM662v;`P3(yL9^7 zBLu$3eBNoaK;mrs{Uv+$C2Y-=ymB!A)^Gl=6YRVWEoU_9EjNkt)-<)cx0gA(w?TT2 z>_)*Ni5nC5y|Fv!Abg_o&+dIOd71k?Q;XJZT+L|m_srh2N%6tYZ|^ex?3SC?^J}@I znpC{0^wB@7o^roZ?~m>_3~CO}PP={n<+j_=C%!&o&2l~e@Wg@#3ogDWk=`8@<{j@Y z=l#O{*-P`Hq?WyZzU?c~5aBD?a&h5mwZED>xa@!a)c=|{eQErW42QQTkKA6AK7p_D z!;G!rxu>^&pL)vZckYh2m%}5Q15FC^Z%iyWf9BhjOUhXxu-@y&Xdlz+?j9(KJP zRG#j%Fe~{~MM%#%!-HCG1-lb{87o1y@2dN3TRgjD_hob6r1C2{Ten>L z>{nc;J*|pa)pow}VVk>?W;wA0?&>@fzV@mHZ+EP2QV)CCbeVjG?zh^l2Nf$VvMpj_ zLwnf0qLMUnmX$pCqEh-z_`%_VnTgi%{VydVCLMQLW%)?RPpkY#-p3{c+Vq80vmK*yzLBBWn}&)oZ@u)t-#q`dn@MOdKWxXV@>&q15;*y zUGXV8(vT z_kf7?Ny~lyZ&Yh6{u0n$JJt7s*1kUZ;_r-``TC|mytDJc=U&Y-$Ce*o%hB3XB0vAU z*(s3~r89RQd9QIM|K81Snt~^%s6jJ6*cHEXqn~y;kIwBOzj+7ago{{d897b^ZB#M@2+vxyE!|>JqY2QooDOv z?A^ZU?z!OUEAE&aFB+$VG(+z%Y{34w{H1TxsCn4 zS7w3uGNaQs81Mc08*u5q&?^<*H%ZMaQeGCQ3Vu?JVslChE34r@I!QZh|Jo%FnbQ6| zS(^MsO=-%;MMh_9>VB|HDy+#_dNBIYFB{PhTl-etHa@w>d!gyvZ$bWBOztH&J=Ws6 z@%6`za$6RTNq(x?mX^7zt@bZHy~R_U<8Z^0f<;Y+r|KhnCyBP?9qlslFS1TL_SE>~ zzcblu#ov_lDLJ*DmOA^ZY}<6c^@kQ@{MxcGLpJ6R3)jMO-`Bg(ewZOWi*wbxg?FLHD;HR!o>O7(@!d<)qe7M_jLD7vkv;M9H+wO{I zH(Z3RW(1neb@`y1kTch<+G=5o{AJ%BlPM<3Y^x-We7n%+Yp0TxP`8u$yrC=4#@&sDZb!UsA22;V*K}Y0 zp&1V~4wqkB`zU+%hS$q@3{!G{JxHAUQDJG;ubVga$lLADthGB*+N^1uZSkA+nnl)8 z{U4!qO$XI?GB^BPb2a9CVa>^Vr7w?7TJP7rY+G>aoVPdT{d)S$Y4?rQyY~GGVlhcv zW483xhs;OCd-KXZd@s5Gbh-Sh?H#)R9JF={IbLP@jB)4qUA6Bt(3K}c^N-z!}Nt^vb9_{GZu5sdc3ISaFxxrg^EkRG=$kWhj7F)2b4-# zWkz$@N8CzrnqQ`PeWL|$#_Id8o-wZeSZ`V!oYN5HdMs90Z&y+1OO|chMJ1-s@ckyf z_V1S5=f)=OCUdsFw4JQW&iQ9%0gqApJOSCej23UzhEQ3Ucke`2J&*e!Q$y=}Q0pTmQDT-jDq1^>SzFs!u0BEpJr2y=4zlp<^SK=BgOf2Z3r!K@#?EMqa7 zdhXWD4Zq(qJasG4)_JBeZIQ)$+owVYr*X|o4AEc4A*)us$#HkbwFuMq*$rWAr+Pmt z8!_!Ed!;qy+NR5sMK2tAvajiP0_VBB(lZW5rz7@Hy%G9#pJ?b6cjr$YO9gZ6gf#B$ zwv||KxFAJyLPfzU%Zcl+ZSZ$DoFeu$e!~@|xacz?J2d&fJqgsE!MDWZ_{7IHYx~*{ zrpGTjvfM|~{mP$+^N$mz>3v-7tn((!fhYOb7SA&m<@Oq$*ShYRQ~pHXChF+iRh$c+ zC_Pga{awR;PS@)tYX><6C`{@3s9q5xXvN%R0Z1EcUI%(-z1^ecrYA zz@6^_O4?yY?cdf7Xth*jhjQ2R4xwqc<`{&%n8Q-g1T>szt<PlW3hEV%qzC;eH+O|5M&x?Hb)mJ>F*J^Nm$_d?+(jZ-h3I>+%jZCbI~aoytj z-eqEmSC=NRb*HGy+CS<$X=0cD!n2Swr0LO(Yp?&s@hG~im0BjXIx0Uy^3xfgrKRox z+qd01KSd|`ad2X@?zcS$pVoe3FrQ#i7;|sUxm#OO|A{Q<=qTILZGZliWTd@K*xc+- zoXfnc&-g6n?%NZ+k#YJbw!OjM|2wqLyV$BTyZXlI%N_>Z^=D_t`w9rO=dHEa(yEX& zY4T@R@A7{O4?O#|?U;N0t$7QlUNApB=TH!9i(XvD@9En%T%Wo6kdARMZ?x)b_cqrc zQHF%gb1Ig|gz@a1Si%*n8{YWJWWmzH^1Sw!9#WUf^yYe3PCBu+JLwG5?0=n4ICCp} z(!TfmFMhNo{p7~;lhjsZ#+?1kdm?ATY5zdCYa(TJijg}OKFF9mC+YHOK}p`S?Zsb? z$i~L6)}5!2l{xpHtj24Lz1R3|SK1!tVs-ZZRs7v3J*wKMPAB8$nKPmv*Vwfjm{=I< zYY>z5@<)8ByQ-n{y2e}lmTAwcm+Q#hteCF-IN|NgBiRj!H+vPNtd`6%|9|H5f~^w2 zmz=)Nofjy1s37o+j?bJ;rdj=AESWnJk3MkidKnVqXz`!*WYork9R7c&E@FCpb&jQ! zZ4&p(H#ZEA^?yu$FMXdOtLUc4!@TIcBZ9YPew_CC{g;=zG1~$=eZo^8hu0S0@#($P z$HK$4tM75J$d~7tYP%=Td|Q8Nnt`d+lvZu4XMT|@SJ)gpVqH4*N>TjgUy>CUk9>($ zJszSRo3^6l^NrURwg^47d+k2)m&URGyAD3NBz#kTQ(Mkb7F9L2mP0kE4aa)F&Q&^< zQ2l+7ahxwc+Bw- zTX%ZT+}%ks4|I3-rE&PwtHitycUZPIg=1I2J&Q9hS0}We$Zj;Woo0DpS<+pOjI--j z-m2X!`aQIJRndWoufO=uc`UT>zughNhxd~mE26o4-b`D0h3oC2vZ(yK?fGX*cYK;u z(WRVlL?+>8H0PVLaLwzdOx{R2*)QPj^1f41Z*6kDfBBO+9Q>YfU*G6V->`A*$`^~G z61&&hxpvF^TYpw~%Ctsp{vH+OoiFb0JW^fuP+^mLQa0c1^;@6S)F15HwmWgzm5rfa z|GqJQobfTvBR;~8_vDd_O`ASiJ-ozzMQCs6#LhKq{^)-X3l(+c>5dL;iRcTybj^GX z`yE}gK9}~i{G5FuzkE(RiSM4LUb&*{o07`2!pDi1G(TL~zxb)m7omf}CVQTp*W-RX zKlVChNQYgk67MO3U%DnxEf#+w#4b>5ld09UbQcITxz0xYVOONha4L z_VDzbTYJyQeYmz$GO%XKhZNSAT3sD26|bdp(k{m_EL!?0WcG`6tCYL43$~ldJ0Fd_9r-rmUCGz0Obi>Je^N-^ zrqh|+vLZ0N?6F0)P0FmD3(D`DJ<6sM`}1+2=hjl0^n1G|o$a)nr!n=Y$Rz8Muv5PU zv`uF&cq`a?cR};y3HN1U4(?}f;(gY)-aynOJaH-0*jTPes^(Pnxw=f6(F74^-@+8P0$8Q4p<`G?HA#eMG7UZ+(|9bA3Y zbB=^1yghKq;rz2IvClDOUyG{+Z13~iW+_gXUdnjNmfP~~%Wm$X{+k;l%q1EY?0K|z zek*R7d?)jx~u1~rBv>ID@#|g`Pvtd0HhyyU^wY9iT}k^LH6G`C zwVs=3cz@S1Cz%Q+y{bLOZ*D$f`uL+l#BvsmEnOQ|RNk8N%;jj%&a&wR2{zmV1E_a9yzl3eloX2TJs<}U~D zs7NO^Dj%uh5qY@c=9@N7C&L1l7oUnQ=UA>tjbHR|lg7dg8$NC-yd%{v$}??!Z{*rP z^ZT~)-k){8V&-M>j@s_jXV+k&pW&grZbJKC}3 zwq?QXRT^Qd=VtD+JX^$cd^PI^&Qm6wh4qh1dk)NLJ+Iqn|Nm0uiJx-nvx|Oj{j)qf z%UbeQr~H<)`891f+oObwRW|BWH#)XN|CnTY%5O#EtSjff&g=Sm*j@CaOw*kkb*2?t z1J)eA;lTWMrtO!)Z7cnEd(XbGYr|Bf54^essyQB7A;;INzw7xrr`llMlph->F~;vR zJ8Lhu)pFa!z@TDH(GL!pm%f(YJX&M1T4MEfV+Y3OeV?cAv#SmNGZu7`tT?>$my%&U5}|H3(qLV$oDMRF~Li* z?}gQ)jHtpjeJeOlpWLNYbtYp^P=%cC4f!b_ELS@AW^uMo`^o9ib;B*;)V?iW8=49q zbFWn3d|7hA$N%}VkDK~;23h{!;1lbv{_NW?jk7x-?f@94;L*w>-x6X5H~gcb6=#`BN0=Ro}VkaJ_Q-r zEV1|AwNmGY2Gc!@Ir}^cxV9dcIeCmq6r28R+`uX4YaJA7(i2^jv3|}*&8*iS z0s@~1N*dkxX%kRq9DcBFM`TRzpDC9rW#wb0Djsr}JB9ga=j$~GCy7q+GsecE ziw>R0Ei-PuKD*mG9mL-@|X4j2=yWc4PCA9A?|KN{fvpEw{7=dCuby;lvXoWF4m`^l((>}r25Jdd;bzB98y;PZt0Kb|Ev^_}M{$PTx);{-^1SMDV|4a!U{?CsYWDBNGem$v6@9<&E)$87i z9F0s|@Yd)#S}j{Almy?5f`>6sJ$`hTsFXum&K zbmbMc?w7Bs7HtUhxtV`7#p&T>f3F8sZ})3X`k!CL#>~jfZG8Oy`Id8k;(cGN>G@yn zx`{W$GLn0?sg-4f(IyKiO`YuvR&z(+6lCT(EOh3}AG5D!ra#3vCy0o!2wiAeVsX># zz&p#|E5E;~XF0ij)_*~j{O#Avu2)@~vE=Ejxt3lTd>5WL-tJVMylH`F!=unESNsk# z{Nyaj6g+hJkFv@GXX(RrxhK9#{x3E-pFu_9){5 z$AF*ND_0+v-&y!6pDFGT%g@J5aj(=5>oLDmVA|R=pI_)wu#eo!iL3adPY1I&E6kZc zudiv>Cu_bZS0=0~X1H-l{qUz|cedg(&Pxp60vU|IA3pnis7$z~W76^Vh{^(+Nx=4%51t&@-NYBmzhLg~ z_nwW+i$%6GyfWthx>s1}+@)p*-xikqKeA3Ws~f(au{pNP>{fI0bYW-DJJCNaF3k>X z_;Tmr*Y5|{o>jUxZ{Ge5rffwSS^q?&Vpy1Big?qqpZi<=>V0y$;m_6#4o!w1$BqkM zQT)Id)AXa9EAsdE#JSZ1Prg6R`R+UW@W)q98<=0VPhr}}lEI<#q47o6_27j+taq{1 z?E0@`dxP`)`2*M3xlb@VOyBII{^t8yof*^CKS})Y=iH^;Kb4&>e7MOpXZ_rdCnwHq z&)|7<@57&@|8=eGI)3LC&fAmoN3`zobl1Zl`1{`q*4_m1lSkG6k8?S8HO^Y>~Of6tqL+n&xn^Yj1Fhw;oNd-n!2UYxOb zam6Nm`8mo~HSbSy&wZ|V{lHe1@(uOZS0*-f9db7j-g_6dXqk9*& zi*?<76MJ+w>-Wn)&Q3V+osl6X{_q~558jMN_b|W8n=ikGrTpL8BIcg?4jrNzj5E%E zVhY%5%zK4(AtU3j>~EgG1z$3q*#EIL`T7Y#o5#v`w)|;Y%)of(kE6Z~Q_(*rd!}FK z|NX3I7O;7Anwf#)KZCee>7TZLf{oS|JG#vNUiC1t|7v?Dx6yfL3#Zc;FMa_rzAd|W z?#$V!V{|($UQl{db>y70J2!Vbp0qjf-9~O^kYib1hDqowhnJPx7JJ<;*eH>H-fH30 zqowQP;u4DYpDv17u<2UN1(|8LPTlpKT=`7r!!vJguHa*wBYl5u4S%QNq;^3JZ6CnJ_5HD0^Ie`nQ0t?=F-?~DE!&UsM&;-M7V zO0lB?+M5iXg}Lp@P@b@5wZi4S2M_zI+n)dK;&{^fK-T-22Rl@H+z+1hw|jGC!?NFd z-^{-07IU&GbV;i~s?PCQH)<6keXE}Ih@HuiJL0FXTglk}byKb&Uw+sr2D=@XAt?csf~()-uipIW$HW44Iymsg7q z?rpG1aozUfN$0d}hF4aJExG+eSNwRmzlo-#`Hi}j&EI0AOwT|4G}9r?K;Brv(=2k0 zYT%Pahi}^b?Bw&Se7kVjs%d{1*X+Ok=cb;G=Eaj=(^hsqd}QQjesZ105hD@(Cw_Zv z-X^uxEUC=>e)#Y)`}|qiCpNY&)wmnEZ=urmA5FW}PfVRr%J_fp+z6Frx;K=Wew>NB zd#3Mwvd6V;ZPS-pgnpEna6Is$e4w$%CL6y?M;U`Z?BmNZ+~J(%%_x3pXW{jo7mXPc z8e5uArW#*s5p9xvx`yfRl}ab03EytzKkhW29#I!|x4477_1exI=~J`vdYa3N*S*#> zxvt{y_qqCo^?S9pP1vnVdZ)#)Ts3|FzJbT&cY-{1<8NqRrKE92< zzW5BUfcn>em%`>IFUf8#jdc0T@K2{J``4YeYiajIz8$^6Bc?RX{_wCx4#HC zTajyO`T8#V;oY(~)X(Qz-ePgSWx}DJ1zS1p&D-4D7QOi6d6)a|IQ6t;IcMcxJzJ*tVyZ*Qtc2A+mS5&k7I>c{ zdgMk^=+5G{4SIJU-j0@;sQWv^J9MSUgF02o;0C=m_4PRkr3<%YlpUOCKH3v=@6N*$0nxo_*FLQ7?TXLeR<}8nd48Xv^7Peq#tU_Jy*p|8WXZJohC8&r zB?sos{~`44)Wg^6T>Dp?$+h}*cyaKXgwm)J@2)j!U;S2d_ul3Ga*Lh@ZvV1yogc>r z8{rpL7A97E@5mRwJyIdjq$9if=Sm%)|NAT3SC*8zIB~4c@t7@}#IVPCW7_Pat@jo^ z`u*+v-Q#sdWmYr9+SX@_{?t`%v{x*8`uo^aAjwEcT`;`COx9lwR9S8^;Bu#7u=yG7W{Do5iU z$H$`|*9Ao%pQ!KpQ+lyxf!tT!zh5S+x2aC1iqfvFPN3m{rbW2lDfZt zMV8)ETFXA~+>V>v*17X8dr80SjXlM6ze_yqUJU;p=8K^pXT>f3x3ckS>67l0yA?%4 zh2Fj|+O(ak;oH21c4xrPReY@o*@1lZq|Ph=JE5- zGxrJv8W(o8rd#()G=DZ(w&2K0k;beVr!DPUCN4=5al6UmQk$xqE4d>}@%EA#x!s3- zZrwj9J8Ndt^uC5!ZvqQ>52T#p$?~tf9sgz5Jnr{$2{k`g`U#oKG6(hqTJ24fS>(); z$rcqbL0%|!PW{{`#q(lMx6hfm*+1T0-z#jBPgcWpw)L6wCY?R7(LJX^(&m%>-o4S4 zk2%Dy%U^x;PN2m8VeSN*pR-l$%p4c{>ilAIohTzYM~L5dPwpuD zN;N$xopJH%)5AR4LQ~#7c_lgf!>+83Cv!Blbi{gppNsI@`_98i|4mwwYUCe5&DB!z zXSQ-~imX5Tx2UkY$@qZ?Pjgw)+#tD>t>)_|`7ip|SfBRhfZ?P5Gsz)#J^?x=!tWRF zXHJUf)w(fvdTJ$GTxEIjB$XN#@f$W5s%mrh{S97Y7X0hArAe;I*%`|3-mu%f^gk-q z(kJ%qO|SaGd10$exK3X#{M!|yq$J5JYN8r1&k$^|MA31hcZ#$W&rVu)J9EK_z1tX?b7D%x^klxN$hs|Y{4P+q^yrhg%sbbm9I~{xpWWEH`#86o zxp*??{@2!r%Ul27d9?9N*DdAg9T$@~PkQ6FLUQ_S|IMjJHWyQ;bkB0W_IWR32z%|m zz-QNHzq7BDc(a#Z_SNoehUBXeciRN-zj<7mE5&RUf8+NdF0I?A{@oMT(XYP0W}<#B zch(~Rki*P(g3nzjH_xcn2>c$G*lm^UzWLcM|La+{Hx!PX1b|gx$RN`cTT$Nr+6OO zlRNDhS=i(y@4Ig2TAt#Ua6dHP!|UVG-5v*;h<)vk+-;am9kvV$TGnAjK?e4g!?q->|dwcWUxAS=2 zh1M@+yw_{_M@-|v(yH*JB|>$Jwmr#_UH|uPQLzyT~_WatAAGs#x!D-xs@T z*Z<@?eLc2bz&Y#h^KUy+8=fs~xV%D1dz*3W1~c<_vv|(_aNQO%e{;L(@k`AAbN_!; z;^aH}Ol@)A!z-_3W%l>Z4vw|F{loL@*NzL{el3b|wea?Q^2dVj`!XZ@ckg?SA2w+1 z`*SELv(e>A?vEW`4(@wmf74*P<;722u~UxQ<_M~*9{yYy#1eC^Hyb8{=3Wtb9TtWxo2{p6tX6uiRoS7j zy+UDGie%=2%}qU%lLFc^^1e-4Uz2S9TuJLnp^@K0y`GeU_c4c~pZ|$if9l(}-^x?> zIIXx4otvt@Xzl4g${d@Gc1*k2`O562?%#&U&b=}5ccVMPw{M!Pc1SDlOy%Om;d4}U zUBVU#teCvGYiabn{-De4rJefh|9^Sd?@c|Dyl>C+j^_qVkv^Ymf4JOO|2S+*sEuOx zlniZ!y-ka`UMZwISO|amnCJEKnE#A4;byJi?Agpy_}|{&vUBA|HgmqerzA6{zFtyk z^}S8Z|4~Q#viDcjo^>r=I6Xi?snBheIJVRbSQyC${g)ad3UGUU^pHL6s+)cg>FauN}LxOjo({_e+*{ z$Nqk`kpH?$Pw=2erqGcOE#Vb<^JjV&C_U-ia$~Et&!Kbide8EAda4}v{nyE2yIJVq zoup^|w>p_Et2#RFF4wesT_)#vcI% zEAB7sN-2$Tcql(9`=0NV3i(+@pXa+xo9+BSqN8=fi?UyfJLfKlk2x9mGVF50_a&MR zIhzlu6g7T-Ub&)mCew%ei!aE%opdE`vxiwz|1%Mn_b(g;Pu-q&$%)6jbY@ax&(e9{ zo3ETco^;arRN^-6gA#htHb$CD1AEmAZ9W;)Y;)nuRh#HFbIT^D*rKBIQtulcGR^I? zR@O|rD=n$AOZoa&=~w2Zx7OJ$y~gsz`bYhQk{+Qid*gD;EA7~4^q=jV!=dF-M^;s({w`D9L{NC1&lX>#~O*NOHCr%IHV6O;c?4<<{J#=90F2eQt%Nx3KWZ0w=M> zRdclWo?GyJ-KqCqRM+@PPj&A2aV1ocsD=$ddi1xwm~#)bBIe zXC9HiL_N^@_5Z!ud!~hic)$13n|-Kk54%8*j82FKo=E-DZ-IPOtU`T74b{%rr1dzZe-+AXs}>z@?Y(g}vDrBD6^h6* z=vyl#h2~8;|HCLaTRTIl1Oa!YYRE0xecTam(hUOS6}E zx97gxeJ-h`fL;Bv@s?82tjv0eU{S8=Zz}(D>Kd(lwC`&V%k>T6k9Su7H@cFQqS;is zxoASzy`0NWnZ3Hj@0PA~S}IZ%Dte)Uu}k3Oy2U>jHa`k=I=snIRO;MK%a5%!_V@RE z3cCH0@7Y9wqP0xLyIwBRUwPMa&&ufSdlwpKU(Z=_F~8y=tKqlreYagLvdoey!~0G- zv?r?D9cm~(CO6af#MYIu$qOuxDT-U$U;MVhA>+o;r7q?XH~fEWQ15%SXTm(5)&E;G z_jx%RUUmFE@k{QBsr$>fP2Us#ME147!A`5zN3v7R>f&6w7Iw5LH9R`~{7l)@G8Ms9 zx!J$V4>c=Ke!TNZBzOPqd&V*ACtO|D-(j)pR@_6jbs7G*_V~_FwEMB8-<#5Vr3;s*nF_7vXTPOg`aa8J$%#eIVTH1tKv<>!CL zY3+_1hqcPIKhNEp`f0UIqLo=^%$!>)6CMe1-FxrDH9I%_zqM1TaE-yNrE#10pX=7K zdX_r#@~2|)7?u9jLXR&Pc(AuK2Txk$w)M!8HC(ZwD|X*b>*r?Q*7e}b3y0cocGDVf zf2r`ATyoCfe8j~^W-X`YIw@OUxU??MRdTicq*spumnkNEZ#uWWbDs2)ZufBgtfb;L zXF02vj{**->m|iDOsoE_I4|?$o~a>sxL%b%wFsMJJHhA9W2uyFvyXBePb%13&T%Mt z>WX05w+C~M-bDe^NkrifI!UKf0o5R);{>%>i~C57AP$uWK5u@QXp)wG~t zqs6RGCoAXf;I=%T9ve~pa%*P5iw#S@`U?Nz-%m6?o?Hx7p6w*S*Z7{6nYq?8Cicj#p+WeEqv&2Xn{w?D=1TDFkPC|Tkqe6I^uA5>Xiy~j2L+zrc9_1;4w;oo0IP-t? zi3@vl6nB1{6qGa7YsK<8$Gf{vJfF4c=rR5^)2C>i@APcF=XG*1>vIFOlG>a*qSGEa zWy%%b)&2M6-CXwJeTM(z75j=z zt8|>hf+O!ezhEh?qrFD_v7*?+UzJlCcE45oe#fA4^4W-G&(;+zD14@PTbd=6>^GL(z&4uY12Nnb5R$uGzoV4X2K+ZZ3PZ(#j%JGHKo>hnFX1PDz}-J82G! zulAqJIsM`HRBoKzbVclHw)ut_qyO8N2R_)Ip7K*z^WCai+3Wosho5e*JNoW>MdC8i z`@5g{ra8I23!CevtiE>p-+N!B-(PF}#<1||q~v;9WLV|$cuJ^eaF8ye6QpDW}>tuqGzW`-a0eMH(wuWE;;(QNapBEpC>Ck zU;7>^6p6i}2`R9AyX%THO| zW4}1TX8d^n>)_9%ZGDL41UEWv(HROXo_3+nR|PtZ<>Be$nkr&_+=K? z+$3qn*8IJ%J|r)(=N5E+E4|$F`0Ha%99bbE=N4a0yWYJi+%@QX8W)qiV17&TRy)@- zUt+D_SVaF6ols^a@N-*Z>~{;l+pUk~w%v)Hq;)NH3%AfuC!Q*|JSlz7(D2E2cWhd| zTL&hWUH@{n;r}9qt;@oDxhhU^o4t*E@oDXCmubrunz8$dJ~IBet2m~B@lQ&ljNFpE z@3L>N2$%lcwI-eYL+)*B2E!YtHyziNJLt5VJ1zN;ANTg~Cd1hL>e#n?D8XQ?&EE2%%li$pmh3zfTMk9x7LOEhBA(QQfm;i`0?H&LtT3jezD$@dMq zn;W)D2*3UCF6gzTW_Er&SJ}M}O>G~m8y3#|+qt3jtIX?;vh3Th914Fis?{efK74EY zQ|90AqMp^=jGLLd{Qs?)(t*p>f^_usp5v!pTqL7`@LjcIq|}SKfVpphG#mbaWPnJY5P=aC;7B)S)zYvu6mc?#2atdXirIu zuDOv>duy#>xT}sy=K22$Izmk%6>mTM4diujye*iP7ACz;dwoXg*AP3 zNo1JwXUCaUeS%$AL)B7m7O)2>tzG+V!If&}{v*xmb~a0XJZAd(aS@|%oXnh=pY)br z*|~n{*-`srBExq zCCT8(9IapLW~@&T-kA3@L^05c`Qv1}R%OYHB^%bB?z?Au?`m9bq!-IIub#P0)7kH^ z&*Do~-jg)1B>MOPu}tYj^S1i@oin@kar->awwtkbnNsHW~{tFOO=juk9dC~I^{_S|*p(MOk^IyoQKe3dm`W?941 z=wAD5<)lPDqhy(Y1y6UTA33AZBKY=h(UM;q&o#z;*=OvxZBFX~OGbIqh(8fiG$#ML zd^^~C74NMhZ?bwhju@|4x@tvF^7ct-!OQ)uQX5BNnC$-?mc1AcR?)cpQfyC zUz2n+@4QcKWyzW&dreNIPx@UcG)2hPvHq`}=E{=P^B>;G8(KY=DM)yC_s&iEMcze6 z^~2a~KAK)&nZN(Pkx&HZ2WL^{@}BzW*Vx__6hyJ z64(Ae)M;S!C)}^4@#p^{r8hb~I{$lxA0{NG{km^`{ou^PE!(ro_P%p@Uv;m-_I-yz zf{S}%&m3k=0cC*+N@dOh&5t<`ZS=5xUovkZ*TUbs;{R3cy=HYc&1B}eb*GDJit0D< z^URdEAUfA+M-$T)Y=yjTtLnuwQIE zr1tN{fka1xrrqr`SdZ=e(Q+g4)A<9AhgBKcy8YdH`dwWZ__?`d|L$NDlxIwN^s_DS zt7gKp=C)tej$1aqdC%d{R^DKH#qYhx-|J2fI8U57*?Iryji2cY7XQ8d_bX$IfLP=D z*ehZVjt-aGOE|vtKL6YGJ#^mB&MH5bmd1vLCf1T__P5QuB|dX-Ffh$$yu@6?rts(0 z%5OJ${sKiO88=bXsE@%!&ih6OSV?R(yL?E9Mi)$v>Q&EH$E zGkjT}=v=S2=Kbj=j&HAbF&tK0TsJB2^||j#9It*dv1VkxefdUUg<`{;1GiZ}ef=x> z?5Cl@;XsE!U$cJ~us->EuXM-pkB&@Co8K4I-LzC-m@?DhZ@yxk>$7VPjPfq_3-_^n z{;i?BKXvY%WhO7LCfvS!!O&^G=l$A>RE36hvUl@XI{w7OGbVmuSYW@V?*NmPRs9J* zz4IA7ip}@#Gsi^yld*16sB_=Oe&p}u)2B}_-t5S*u95M8_1(k!Q{M{oC)T%X#BHqZ z6}Z5cc>lnyav_F8EZctH{o%k-&H3jAqtd&^!%q9&w*ARdY-?xC61?E~%W(ZeCV~B% z>mD4~RcG~UO-17bg4B zl-8=Y21ZU+VQxkaSq;%Y*WU`MZOde6w^sj){Qh~= z|Emyu_Hbcc+p_(K>i)fG-o^Rs^Y4PZ?)8UvZCu!Tul&vL`t4yG_MO+*z+B2vTlzmI z%!Mi6y*0uAVcoe69MwOMa$XB}V45p`Z)(e*JA4_H0SyhCf7NpQ{;=`y^U}7ussiEm`dCIAkH{L(g zZD?)gebZm6@GZI2@K<6o=e=?f4bwk|7Z%!Ft$SG4D14#e@ZZ{f`IhoGIyhtxIavK< zE&2cB?uH5SReMvuK7GAW{_B+WFXuh?`rq)~ZBI+xp8qKt3W9QSO&#o6>CgX`{A;?j z=mUS|L-~jPWkPj({~cS`aNq!Qse;$Z@0kn5io(T`&bUIN8-YEc@F#Mdu}* z#``l>-+Yw|@u@Uz-K<@$r`xf4OBi3JND)t6fb`TaP5W+fy3d;*axS`W!EC;`XAVnuyY7_AMdR7aARS zb}3AB;fP(z_xy!h^SN&(hxSK3pDVUqOrodg>HNgGhfclq(icy0o*bA~Q?y{!)fK$y z92fUgo@hO}OS4#1L2}Q6ebY+)zuhQX5gojLfk0Z@y(O?G?xwL(^HI=9Bl&|2uh?LU${TOSo2vJQW|dc!BXqVm@)XQf_kNZ(r# zpB3$F`YS|l3a`vV!M?S$yn8XK3qRTH zImTLaS=O0#|5cw$A0~P)SZ03h&WA;D??R8qtUl%%ccggdn~dTM0h&9XzGusN`Cv&C zfB2rl*ISRdpQ+M~TCA!g8^Lt1~#w3fwLE71#+T0Ns!FMH%Gtja#_{#R&uEZfR}N}(Oym+J!z%cV>@I5re% zE8VQpOPycknpHYuGmF>z*Fsx_DplrA{KD;fx-!f~t+n>lv)vE!ayOm}6j|}q^OnPL zm0yn@-qecQWTupR*ea8Q<;{gXkx$naW*%BEru$@N<8jSZ2bF)U34A2Zde7~sqV<|h z-IE`x@@!U7iV*c*ZFx_6D)YbOLNz&Urt^zh{#}h+qgo=aAk43sQo`P^q0#B$zC`|F zQ|ip}ofA8^H)NXK{TRJ-hb3>zU#9i)dN+-kAJ=tQPh0tOqUgzOllIPgXlHz{?(ZXq zoEE9x#KgdTyCbtx{Jh2IsP=E0B6xSQG~eBg9JQ-@U);NtwLahP-=YJ)6O}`gmN#7Z zS(UZq``S;=b4%kQ94}h^c9xxVc&}MUsK=&R3htr&wk7{~E44SqZpximud$^f^XHs| zRa!nd9%e6M=AIE-zxiHW^E+Ypin+Zvt$QuM-dv;o_Q2i}?SJpf<6pEqO?}%J#uqGM zo2(`FtX1sT$*7d~tzV3N=HzWu-#za8;V3{}X;z?OdwK?PP0v;)?U54@VCdWUIKjtZ@tX{iAjHUf_mxQ_J#MH>J!g zJH9G`TlmM@-r3L3ZP=gjR`0dM+cOv6J4t{39lJ}fFFZ}|U->_~8EgYrPj`A;{Si$WiDBf zD0?a9Q*yb@<5QP*_$m4}&b@bH_T+^zmuIl$@0t85>qN=?;EjnwN#_^OJu~IY#wc(1 zMNdDyVbMQ*XX7ch{@=D2UY`4~XO`B6RWGVf$=zG}zi`9HyX|`~u?PNp5bKrlmScC) zd6VtMz2b^KTf>JV$F#keXIojFV;8{^nc#TG7+(Di>`fpaIPn}`ubU~ zgU?&k%d^XJ|8BdQ(>CR^y3XtP&P(cZ*3NjhBr)a3v=;HG;v-Wwh-{B}*O78&&NsgQ zh2nurR>r9Wc{=rG?XA{Y;bnQ`_^Jm#t}yNO6wvvg=y_SNzav~gig%l$_6nJqcYSOB zb@l}tzu&MoOZdoztpoC-)f7Sde)+ku~hf z*}|4W#s%@U@6A~seMoS6y>!7+OKbO!eMe_s)sK4_bv^9GzlO;DwteOzM^h6^`g>y7 z15CO-J=ay9)$v+=&?CyA`=%a$3F9x5@EzNBPv5tqVbY9CpN!Lf)p)e1K4!VJ&NSIR zOo!$Bjr~E(^UP|MLkw@~PJgfZY}=8q2OnQg+*hC9$Z$L4<#jtBXAVVy{714^gZN$L zIW_Dr3o%4A|I15QV-xwP@06aa=E`56rOq_Se|X>>wcaacZ?Sml{ApP!i<=8)g-`nV z^wJrP=Y8upKGYJBOwwmhS{XU%^R-!0Q!c6NtWP%Vdj>WPP?c|LkUZUa0^51mj}eq>1z2 zhsUJYD=se9KK*>2y_;9_i$y=>Z{N^OUmNbJbI1F@v(-LM;as;(Jo`gTScm2uN+BwGiXWu5f3})K8y#ZB{xMD(vcS=h$T9GiPJTqO4c5w)EM`Wv|ms+<9x$I@`z95~c5T z-;`@ld!lw`Nq~2*>Z?t>t714`IR#HyJT0W!O;j}1F>v-7HHKFTIbzda%}6N>NI$eh zhxbF!qcb}t9~(_JpS|S$WSd3le6vi_T6Qa4epU7OhV7Nv=IeLZh|iN3)LM~jGEu~v zQF`8^%7 z;+QTewqoC{;-EP1EVGM$_MNsk+_*fcd8uQ^@6+16e?L!|`epUa;C4qY$Gw-@mhAi| zHT&>(n?qcS^>WRHo~Z9M{qW{0@3e`6PoIlRpEP.al-@aJ5R>3wVW$h1V)`CKOM zN9Pp3n;NFcZGK7X!6UuY%#XJggyo7#n&eMgkMsJw9ZGZz2oNlb8TUU zdCj|P9PDm^VlH2jUWZ(=al8}JbZ7S|t;Xqwx67Qw71VVXU2d8Gceb*$Q{saen=hDs zHBUSfw<$q$K|cR7CdHL<&-E=^viUUjhdf9K^xIJFzr<_bL|b-))I;w?t+&VTZJicB z@1BBh)Zybr@mEjHTOA(PCs6#eZ`B65jx$UTlb5nG&p&f;^@5_;b8c^U-`)_M$2CiW zz0)`EVr;4KjjTx19Z)JSd8MIu^wXr)&+`*!==4TrHrwnF{juP7!rVs3 zN%vh}W$p;ob_|*KBmMAxjV%5jVTYZWU+>v=NAlk7ZH@*1zfAV}@N!<~k>Z*q=Rdqi zcUt=AZpQ2fZMQ=bB!B;VcXY`^7gKwOz^qE?xD3b75fRHirOe}z{|;_@w`FxA z*)GqjZyn7!e}YL!&{EQB8uzwa;nyP;%raX!acXb$u zv$(Ld;OO=_LK2pjTWnS=T6V5B2`LwERSupTtr*)ZE^r-F_D$#>2Dx!yT} z^$|gQTbHhIf4g^P=mA-)fM-81PP#thz=cu;+W`0Mn6&d!j@dV>%f5*E-Z-;B=SW7{ z#qA+;c=a;lk(JX4QxlG>Kj05>+qylh=NxV~d=^ro`7*1=qS< zZ$Ho?9dhDj=*!}Z=QeNd_bb<$xbCCh^tzO3$KUhY|C)83^YvdF9x;RM@{+L+Bj&mk zGR<9*diL_vcb6oS{OtHTYcr%i&3vV^_@Uc`fH&!Swu%Kh&wH;6n%RUGt=Q@)<3-J9Tk@hVSN-_(T61XZTc=JC@k#*UcD3od4_IkeuhZrZB$pHX)*B7WpDan5#G zG{0_XWM%Bm)VnNq54~7&*LVNNIR@>oAI54=^$IY(xo~a}r|+MVbGyGvwiX=9Okk3z zHei3pF#X2k$RPGM|8+C}>u_1~o>%H{e>q=1>}}CEF@Ax@#aufcgzjCie&NAck%t0S za@hZqFucIZT{FvVKF_rsfhRtvls!CV@4f10h>G5E_PM%_pWL>Go;rF)XZ^fm-}b#X zVY#jI;{3%q8X4&xzy7wKkh4pE%ho(|>;IU#i3(qXBbld0UgUcmRO#?K>BE8ceQn}i zTAlOQ9+~D`$zCZkrQjI%te8lCo+CllAG_NonZI1+&U(;T=W*$gbgvwI_xIA&vzEMC z(ob`WpZ}bB`M}c0PeUWWUwgLE{imtO%Gpo5wV&1eIm*axlf10A#7|UONGbG>`r!>T zYrFrITuUxr{xm#p)}EB20I@B*m3S5g1PNX;wMo-1*idy&=$5Y7LB5MR>BkdiIg2g3 z?=|DLN_U6?|KoD5P`0+^$#v1?@t@XzRsFom+Ea05X}P-H+vZr~qkMXjYoZmn^(-7Y z`?E#n*)5;={n(mY#{T@8sjq}fjx}n8ebn)L&%Dug$>Y6}QF~Z>j{oRBdcOa+*2jgn zRdORX$}ML%PJYEZeZ@J=%F|Nmorzwr8JbMXZVUKKPJJ)?EMeZF_nF?mg%S--{a%+d z3aYc3uRL%fNAKvK$36L~1tAlpm;Ro#|7~PjyTP2Sf;$_YY}1hNR8L7W3*5wE>-v47 za@xL_ACi+#-f#^((>kr_V%xtW-HypG71XUf-%pngbT1cZ{r!B)DK+EwtG75Lti3gJ z;-sI>JEqD=a@S8&s3y_RgrL?M$6o zIW5lDAH~l&F4(etcEIr|?Y4{KRuw;-C&gd8y>^+h+tFKE^S%D;SM-|k`E37-X_r=1 z^Hr{5sa9Q|R;;;$UH=Q~wSA%YQ`6p8={YuQH0d4=&Fd4fd|ARinNe)j!JH3|iVk&h zTu-R%bV$wDieO4*-nn4o$vvtJ$(F8A+^ntG9n-ap*b|vgqZq?eZ6Q zc#AgX`r%aR=WkuI&;2`p&%K;`HP6lGd;Hq)CI784?@q5YpJ#gu^~(j^JpXpM z-rlE|)uo(#uRh9CZ9>t!`u&U5yXG7YBG7OvS`{r#MV{v}nfosQ{P zyzXAR*jZRM(jY!tAnnRb7XjJ6mu+d;pD$FecN4h!pnq;|&BlYJldWNm*~XFc)L z=FDhuv)WB6;hDRtmxW7CPfve+V@*b@m}KuV5#?jElxx0OE?Ks`QX)G_`-sPr_{zMc zb!T=c8!q&kG^Kl2Y>Mtbow)}VY?V7%IBQPe!B=lQ4wmP?J=Oa;QGRoNarBp_M%|LE zS&1hd93s!|)&8dQEg-}4(DY!t>9c#|HgWIWvEHNRjttK+xy+lUvjenLJY^1e9esYx ze8y(c(767ov*O>H&Rny2YE|*F_f|Ex5=+cyi%sA7u(s^k*VYXY`$HQAzo+aAIenffoE;8}1@eqDEx-RZ7^hLg*uS=x9jrd1TM8#}fB+OjO=zKW2G)?*78}Dza&rn@>2d5BwrmecNEx2NtFL zDG_T9YX6_1P!>?SpNEO{H20&5weAy|7OL&=Q#LqpF7Sk7btn7pIkQuQu1K*YZrZke z-O$%+q51qEUw?;Pl#u^6j$wWmWD~3yCUYclSz_y70NWZarhlt%d)! zTFoX+b({R@Pllh3$+QF4FFF}tWZfNp@MVb9SM92!K9`DXESIfVb6T&f_Er5(g+=qW z)bTmC#jR9wwlm)}M`>lQ5BKSo$C9=EZ?CY$A7}l`CHu5(k=63!E0Q(3mwESW7Vr9) z^m1#USCaVov~)H1os;#yBp2-9-letLW815V|6VnuFSDB{mb~n3QjuGXv%X%!{qFfE zO=T`6N2R$YR7bcim2^t2{`T?DR?a_b^epPdlM^{st#r1t5$8pdxdzouV(9PIH&=$0f{6AdQm$5PYyWU%6#&5s1-#P!Vd|2rE<;kRwZ_QbriIb!Grc2&d+{&r% z@@6q--3pZ>p2s3C&vANtHEZiB5 z>c8-4({HB~pZ!#RIeU9noZjZRol|ZpS#gv{Kin|oQchThvuWq8_vhSK2FeQe{Ci|5 z#IaueXzHN@xAx6W{A{73KJmhB-8HTk)lDM~ofS{)biSQ_;}#EFPmj69U(I^P%OAHq zdD*O6_TkGD{eS)%oV8XL&A;-5Xy;u>*c`xG`)BnM(;X~1{yD5QDwFj*xnzINK7GB! z_^?>1LuJ=eeY zT+DX!+R)Z%_tZn$`vn_)9vQtZ-S)w&ZJL+5)rto?1*aA+Iv)Q-?V;0B#wDk&Y!!Q{ zFo|XTwSA?r4Et@?G@af2GRcIe*X_~n+++Vdd-~>``>Z;>I#9RcOkDWO^E>5CmbDt* za^3Jf@w%;>(DL;6v5u?Lp9Mx)+m$%HJaOsMx5b+sQyzKxUr4gps?`uRTfXMeTP-W+ z&=lRv&q5`tPu-r~$@a;R;dp81mxVz_*B`d)uPxSz{k@8-*Ia2{%Hml9XLy#J?&L4` zG2V82cV5HfGbvAag&NH_w=OLZ%6pGTmNsB*!l9RvDws3KK`#gXPeX%UB+9x zuim|I$mB%X$>SHSCBALxcI&!U_cFdy%j$PRZNXHp%ZXuEtsS*Gd6pcRAZYTx>RU>P z+UY8Vho^=9y>KdekS_9cYO1y7QZjodAsEOP9;X0_e1%lnMcH2$x5LYJj}v=q~*^kQ58RmgbBb=S$BjFne!O|-3M z<@oh<^}QueAHJAd|LVs(Wq)2yZv)l+-GUqRV=lVBZ_<<8^wl}s&~eH{eec8bnOFI6 zyuR}OciU6;ErEo;yyL+FexV_xUekO0z!_~=|9F^RuMoAh>mR@B) z79Y555cF?WVRYd4EV(a}W-oblG~w9QmACGkv?>zL+~;$U8Va}-oKd=ANQd5OT^U6DsL_NclfR|Tit%|)$=6vJx>ff`#2>`a^gJO za^EsedK|k@G}QQXb7;?(%^P`QUo(VyJBR82oV2{7Hhk68C5QHGv$)3;D?iO;qtU@* zr}pOi@rku0)*hJg`Si`{Tzo7n_pSx1>`0PtjywO;Hn&D|fo&Y)%6jGZeW5=ZJC#1o zdTN<;xApk>MvbMb4(@(Y@wDaBalKn>^)`BkS6|szcFUz_(#K;pt&LYR7H{4V^J4QW zfis5^15>WbJZog$Dam!eCzZoe=HezrHr*eKbW^KHszYxnQ-&sq{mx|9@Ad zT%G*+M2VyFk*Okevf0fd6VzG{Y~~7ReYewUwR+d_y@hRNx{K15C`^!;9Dj2n=il%4 zi@h}$Y)o$|TkOzXb5zmFNk6#W?Nu17#Iz~A)4%){n*Of5dbh)^B^A~C-mY32lbWNy zdE%z-wKunPeZ9D7KJ#O>&lA>nABy`R=QWupa$3cQ)T#Xf-%aJ`H6PPs^AX#{&@*#~ zG^fhb3od^&a^5<9`O|s+&F@4b1Nq4==KC9_+<0j;C-GDEj&l`ld15L*H1`=fYPols zmVdB3ap!y4ZS}=k%Wu|7=Jqu_;ZZ%i3uZci#NL zU!I?v=8Bz|Ii-fZYQBNl&OW*7$TiW0JB-fe&aVmhbXz<4RpyO?TlZag$|lL&D*cjO zT=iJ&nkQ4`-bq@Ur&pQ8gf@ttd&sZi-q1V4CDGE@#Owd!=+ur=A0;NO*1obOo&A5u zQ`HK-iaEZo|BFc5X}{}U=6S7o`NL=Y)2=?6X0YIz{r8nKtKyG`))jj`<1D%Mw^2gD z-CuJxn^o`qwGUh$m)`ih>O8*9$$g|`waw(0dzHwV zT$Lwvm8bd`vJ*FkxgH8UtRM2^#wYz1?>4two2k?Nd=tw#ox7WsR^JL(Tst{B^X^$W zesS5#E8fKcD@ycw9;h5CJ`}L_d(Ky}n~uB6+QjRe>O|vm&afGEG{(Qsnl@S0JmXQq zWy^`GPZxY(=v)ztwm~ z_{#nD`K3o@ZMoXMqI3T_Z|`ruMo$jLf7)LEVV%hw3w=ec%81t*+IcmGx;@7)+3mV| zRq&DTQt`;_m5bz(7L;s^cq3P`kX0Zej_ZDtSGHUFp*?Z!c6)yo&N%Nh%j5eY*Q%8t z4vFtf;S=1*_hwtM*~w)y_=DOuN`KQ03AlShUYA4t?};2unf2x7le})v<**8So+fv@ zP*yp(?bf6)akpDXznzQDYJVn{CCoSHKT8JhyN_-qE51BmnSW);HHIbUt@?JdDCjOq z*eU(A?IYWpl65L7{Z2FA$iCxx@WU~tNdKnwT)S@@A8g)NaPG(Mdx5_WRWiT+KE3L2 z$;qs%yN@X3J!ahM9p-R#i^F!od#zJ5!#<9H(Q-~tn@nkotsYXqlrJbr&`{8nD%U9Q*~DFJ>{Jm!XEjPm&7c(R`|MAHOE2h zWX3v~6%XU(?)!hrnaRud-@y57MDU`nh)~C+w>)|sKkUlcDI3B${p#ff>Hd$T`6PUt z9PUX*hw!ZQwsK;!OH+|Jx}<9*tAoX>IMKZi=S6)w{agCY=_3sDCtb2TcRlutPkZXJ z^^DHvpV%KU65@PzFks=*(1N4kFI8FI&EIm)tYYfq!^OUFn==2%HHW;^?JFu~Zan6H zx=houd@ZjrYhz?{!W*?9Y5!FYoLxQjnvZVm$z~|<^P1MAe0!Q`$^OG@-`>>Pd4yxX z^OdSOtsmuo-?-%&y=cbFh?iS)xpU2OgSLcj@pv_PUYQk-l%yKJzT>X>V#?p7r(XH= z>q@Zs2luW;+01qelib)NmxlK%JZ$M)KacCd&8;FoA01yOxmSOV>*{0uX`c@ziMwk) zVoXz%u%FC7wfc8%s?bw&#Tl}<3vQfUB*k`it!~Da?TgOJEoWSsUnX)VIlXF^byt4f zflYVb-SN41#ioC?{%Nb2O-(Z&u32H#&VQIyC)n|)U|HXFb3f=F`a9ANT(d>)xz-X^U%@bnjihYIk|!8`a<~`K(FaKl-k%_Pvm{ zF00KU_nz33%t=qylz-BF$aMIzeMrQkckgTtCa=*|e0ruw`v+g!{TDZ;8GhmQU+v4U z9&P_#Z(%}cRP1VpW#`^??R=_{_@;Qp_0T^XbKh7VQ+PCae%m&aU0G-M-v4VY^Xys8 zOZQ*fUR>Z7pIup2FMYo2?)tpy;IPzvvVThTzs3v4ikw`sV#}{zkMv4o_{GWvLqD}Q zIe8uBSBrn(dMYJ}nMYei|3awn1p65YSFYSUpS{xJO~m$z{2|IabNbKS48HJej#128 zKG(k~cb*^p_bXRKb$7|ig7WIO{!6y-zcuw;m?J!6&D9I)3MW2YtGtw&Wtn4qs-|6I z%G+6DbL_vip8Lyi&%xQ~pY*^ebnNY5b}Po`r`)fWf1ILo%MP ziJ_5!$>h^>tviaW6MQCQzkhoE)Ny_pp%{UUeTx!KS7+0nT3X<{<}^3RtiYFZCZnTwmphWa8SruPb;Lbmi~ zUwX&4B3r)q4!?lZt%s%+f9)OZ&#`R%T66ln;A@6Oo4%c|`qwhK!F>T=V#C)21&aWu zR^FD1M{zG>7@~Ikdb)MNXFbQ3`o7ikgBf3ZPyfcivhQac$kk zarA?QxWKo6M}9F_tuWblF=ycm2Bz8deFs@Si(I>N_=H2!pX*->YI6%3o<0sg!18Kg z-FsHn?cZ_?X8zcabiZBXd&q|MFEu&WPZY_@lJIa$nXg;3M4P-Hj5Wr3Os#i6 z?yD=c`28p@vFglqo7)N(Ilm`Xe9=>_+4JfIcdgmRF9v@kM7FrN7&!c`aQLgm;kpzSL_J#}J7(wolb)zZAnUOHEWU8}cd-_3A=Wz{|whVR+oRYj{_DN4J36sW9=t>4D`Z{@_^ znXD1TKPJ~ZtkC$ho1tb86CXq6TLBIR2gXATt*y=f{?#p)&z^AKcz>?e2Zws!*!ss$ zH=g^`aJb%u(Z;q`@ZEl{g!D>Yc8B}EjRgUrX%heZtNU{m0uHdg&iPy~C$KN^e*M|{ zkl_0N|NfN;D;;c<+i-s0a=w3T9NBN1pMQ9`y14Sib@OMgyeAy(zGXf9`Zr;ACO&#+SXJ2dT`IP!sNAI1_*R>qqj$Zz_AmM+^ zyD!~;e*b5C-F+aItt|7*+T}H^FV^?g&&raVs3iSAf{B^Eli|?r9c_mdRxzwoHT-sv zJzcwU+5TH?jE(z_1|HbZ_)9jC;l}6f$~BQ8iVgz5T)B6x&lmU;ld#~w%kS?$kNr&J z;Q8~nF#aj;zX(O%xi{*q19|dZAO3JHwSJ*sgTg2NYmLsg|3}sLoO|-{?wxgS{|6Zc zg@0f7?S?|4Ut;rwv|lbP9_>Y6n(l52SDU^^uBM=Ei%Fi6s>J$77u;U|-lKQE%lT85 zMg0@@uxk7KuoA)y?0&|4d(5@N1dYpqbO;C2y$LuUl|nuVd@CM6uA#;=MufHFyeHY)!GW+0e`+ZZzd@k5d-?I1M_k|i39B0!$AKxMT ze4QD4(u^LTQn!RnCPF8-$KF0R|E1{7qTB7sO(!=0x8&FVxi51|XMgg~e}8w~`Sf4% zuC&OETSq%~PndA;!K;Jw%G6c3Gs5JukIyhVT*`XSU81T&$?>*H#KaogT^YJ_9vHVW z-1lL5dAzghVc(JLQZ|v35B3JgY|*Xy;M00=LsD_ayT-2j+r;=c+pqaFYt@Tz)1JbF zb9LHG-E#ZiKAX+-cKwcvfApSnEm`s`B}(RkQNK)MJKL2HC*OQB`Kj{!fP$&_vd*@{ zzjjR*5@~yBon*b^`fcH52cC*ci|T5By~-C`9&cpvZ0X-z)1SMh$9&O{x1Y0g-9x^Q z8V$i~eszS!9ht0iHtzYCdor_k$*62xI3d?xXle1e9aC>7UFR$3PZwaREl;k#_aa1X zo|T-HYM}dsm*z}@?z=j((l(|Su+3IdwBs|76<5DpH`nF-!f>wcXP#|ayQaG~GBGcn zeE51$+?|Q4>#n}hy;u7~uh8$zzYm{}f6q4h>YMAoMXQ~YQCPkCMy^-MzVO$ZA6W_2 z>?(R8>$9o9-7M(5@jF?aBdoVmdyl@bJvApr^sItW#2X#Xn2qN;lZwtZC?^`cI(cv3 zE-SIym0=s7Jj>nu+&p>pvIGg|OPyMqCpm2m{PyU%yU~`UAG3Eq*rK>)ziYA4<6je- zGgG{sZnA98{&7>UUS^+|tQd>Z+s#RRne3Z)f6pjd`a0)+qos-W5oO;Era2Rj`1hRR z-_rT}(S-JiqKDYR=QHh;InorB=^fbprz9kg*W&_jrSG<)CdOkNFXqPYkvX;4?7{P@ zche6rPc0L=`cp>x&5jz@g4C6V9_t3RMr@PqN^!iV^0;%$sl_Ri&K+Bn8W;3v_G^c$ zd5&A&h26T;5jv$tk!?o#^vF90Z&+CF-g&-$n`r0xQ|BJd&zCmrUwx`5FyANgR0{ux zKYUNNJ#*VK-BvBvsLP#k?N?{Jbngl0?nZg;;b1&UtZcR^FAZhYY9HORbhkDCPLm^fKvcmPmo&^Dp7QgZ}pU zxIawa`8DxWcK(amk2+`XI`Z?}1DoUWrLS3K9$cJ~Qa+=`c>UR*e{(keWpLOd?wKT4 zRkcoa$^N5%KL63%GNJDd%fE~>dsAk9uwnJJnz_J9D%19Xk%IPrneJ0tKfYL$^Q3ZP zg>q!k9xX9%(=vIc_^FFtExPvO`th)&Z7RK$dq1Di(Vy#nb#_2#xsHy`QO_K+DM!`L zP1e|2^>D`5nG=|ERxJ6gY}+bq`fhLiRCm)QnAhgvUX9L@}|_Q$1NcRJL? zEN)FPa55-gvypoTSDRbil8nuTUpjYhTy&=Fc3HrT=$iDno_~kx-@RXSX~iAKDa}a* ztU2!`_ZmDq`C+~?{{-RZ+6&jjxvqZ3r_-qQzGl~vo?OPH3;)h19#l4Z(3iQX!=h)| z`j|spU0c>1S)t^%Vg0UIs!uE*F5~^s!}sS)rkwzvde9qt)~y@Z&dz-5m&uXBqaAnD zTKrHk&#cccbzHwIS?Dd9l2;O{Rvme;BRGrm-uHE!fqfTsDy{i`sPvxrGkMSc_cDx0 zxAyM+P*HW??(meLZ(8*aqfBdS`-QoKT@88a<@yXumwhU#U(ThGm$-4&Rx{nM&yo%v zD)-`6{`ooMN65~e>7rh&vn1y2b~qlL%AYDwC&P1Dp()Cxlk23c{6f7V&OK}7-t{zi z^RAC5nzDrHP1=jI>@Td>b11y|ajxNHD*x8B{TVZhmKfY?dzz7Ve`&o@#9D32;eUXY3J;1C{eRJg$*Ah#4+27MeggzSt?cr_F%8;Nvr>+e~Zgv znFZ%nhD%Lf9_sO;OFHn}h3WOKTYXw)J$-lZFZ;olJI=^mI4QEcbyjG|qF=FEk4rwr z`ANEeZTV|`WbSJ*)$>!n|GE94>c`w%)j4N&MShuZ?bX{KpYH8I}xaatso1528nfN8LS7HA3f<-sB%Uw;6u)pSb zKGor{of?<gim23tpzjhH$!{UGS*+*3@+O)Z0&|mMzp_ z6486A_3_t-FCo3E48Kn3IF@gD^6zZg(Syr0lW&Dv$IM*iq@i=9sk(3f-vy7Yu5X+8 zCEB3UVwuByB^Ub^XK<2S*}dsaUc1zOp({xM@w@)SK_mSdp^3(>ajZau5Fjb{zO-n+Uu_m zoBm2$moj(%_3KORennpsS^gnPWWRRT9y0~;( z^L4i6ubFb^H5Li%e=B9Xhk2iC#-1(As@6wsp3HNaw#AY&>9g>q_v@06J)E}xp37C< z?=eMA6RusTpSO-zVA{!ws{het62=Pr(R$Y`nh$kvb5`Fde)!bl<4&_yFZ}o~`$J@$ za*!C;S#Lw0#+^}xj-r=@?dKZoH`Pu*eeT4p+zr*`-+1@+Irau?Hc31FN_ty)?C#_8 zIaZ991H5=@-*k6=OudyGB(&bl(W&hJKO5u27%a$a3UZ_^XaHKTce(wDd5 z+9i@C<3kslvVKf_7~+4rpWA8q=8$cbD_5OA!kK=idx2Yetjg;dUSc<=aIAXsy1L@o zB@-#F-iK==?^Yb&xWxItj#I@~6|?BqYYU4u8%ewQv#FcaMPFV!w>!mBCSAx=b>>dq zbGx5i`6n7xFZnMl`N4JTe-A9xgrmx|qngYLmp|Y5(z_r#?(bKDx?AUL|1F*KDe2hr z$NxTXJyKVw_!_tQLd~fukwT8sF9n=U%3J*SRm8tN#Vgs&&u%JvE%1CzRXt1Q+sY3{ zO@j9x8CV*dr+u2LvEXRwqnDfZEo!d6_Sikm>B; zc^S)d^Jb-}|D0G`^iocLL&beD)1zO%DzaYNo&Tao^k-;?gopjQrL}v4f^X#AvoV*O z!O48~|6!x4dgr!D95S~sQJtCVRDVTlb-!}$t#|g70`Z$KFV1iOK4V#DrThDrdo2$s z-CFkSYw5RFyjty3@0_`+7wBmqZ}z0gZ+6n9Uau1Cti2+OLU&#-$QKS#anie2WKe3U z+`Dqe-`h7Pn62izJxyWV`W8v%CEFhcURs<#@v=zX)W^U0Geho(-+NRw>#)n;k|lHN z&#;;;Q~r6l-tXS3gFVit>i2Uje#)vJ*s^6^>eQX90{#blo4iEm`|300lY%NUmK=AS z{$b@#FXpGaqh_wr^1fzSD;>!nD=Hg1b(aGBY9Z+uI~~&xoUbpIvPjQ+DdA^x?Yh1G z?BiRtbM~E6-u$V5(l3*e<3h$q>$4Z8Zdt+OwuWh+_s)_VWwF(1K`U>}ywUq8HUEGA zu}arp_g?6#T7FI|R*}Hf{hVVzrzWVoy=J}QBCRfuI=oxIc-sx=7AH$$q7{r$A6^LKsyjPN<(7sT(J`{7irK6zVoFeB@&u_bFZ4V+XyX+PYacNlX%-YMl7r;@8%bOEs^JsV_jK0o+VwHzcVCRd}ga! zQsj+n!)aSj+zq`I87HlwcuUXsrfK>dWy9RFy3r3K!kvXG3f}d;(Ke_I*?LbQ{I`yn zq-(hC#q&1zJ4Ly7n4Qo~n@P&)+71^Tq&eV9jiDg?9UOX;({bf#gqhQx$ zhbwcuiv)hJKYw0&)`rfFCGXoyxB1N!^kbiJK2s~R&!x&&u6_PH`&vlk%9EMTr-V+Djx<=KDu3uij8yKSdzGTerg`UAN}oC! zeJC#Bfkx~1P0Nb{POV8le{=c)y$F+8+n#=izV_(B6%PvuuK1FoI~?0QCK(?)s$6yO zmhXz@eOInH?wza|!#dwMuh_22vH0Z7 zu9W_8)2Ts|m!G+@V$p&3WoukT^GYivqRebQ1aa>4F|?hlC+TwgyHC#RJ+E#YaX(^p zLfE#VE%lx4mCrMep71XEQobwe-|uHJ;a`MmW#%rEyBCxB=kU)Jjj<mqUE6?}#%Zh4|KfAczJ84_< z8B3HF-gTI2|ESHsb6mypsWVip z?``eYiu{#%pugEUhh^HgkgqeoxAL!xYkBB>Z2NRWvA>=1-Fk-+J0BKs#$1>(H(I0a zsrHJM6Zqx7Z}-0SdiTV;ZL^&_*Sr7dQHXtE5c+76tlpwKI~MVnYVJAbGJmJ2q|Ky6 znXp(>TT4IWIJvv-Be2Olx3#^QuZrp$eJB!AbeZo6|m>|~?JtlI~wgwIF)TJmXS z)aiL$$uruM+GZ}du(CSuB-33{rp}u#nm>I{hgRnztDWNKRvkTA6?-*ZXug_cC`Y{N zzPtZ-mDjRMcQHrTaOc{txVQJlZMMv}wU-V`*Y8*}PsyH9FYfuCjinXWg7Y?T?=@QW z^6Hw_#{2Es^BnD!f9hUuW18P{z9jKs&Xa35N_soK#hBgB4cy9e_gU&4>#(X)omm;0 z5wSOdB!ACs+H(;J(n|(M_FYb&+ z?!CFYKhF!+{PX5Gv+mIq;hG zgLzd~Rt2B*=2Dfa5{$e%XU%i1d7-PVj`f!-6kI9u*Erc)ebE2*1l3oM)@<`XlU-RD z{BqkBd2#!D-5;4wKR(P`F+HGEe4D~Oy=bFFq6ge&u6fbabK=O=)jv~f@9eqj`Eb?T zCm+8}p4%%_wK3*zb^kLN5tsLAE0WeXuRcCOulB!H@18xEK2Oi|oc_wkYe{L-QHj?1 zBJx&$ujWm-zT>D!JTo>GM1HJr89w*6PARV=SvlfPS1>a0rE9pB@#>{M=w>pm3et7B?uU;n1GZN77d%`KsmlV1GD zTcvTRAmym#%aw;GOj;%UVNu?v-^F(xtKZK!xn_pVtFr<8-;8sU&(BG0o%}8GDNpCO zd5?}{EI-%r+y362b@`wBw$45#A7}J0b;cJ4rqvh9{G2~--*o)_);Tf9kJ@{xev7l= zoKh!P!8QL=$qc>D`&xg`u9RDA!TRoJpk27v0nWb$2SuwF$8`HB`o+I@yV0GT(u)WT8g3)|+e#xI}pSxzwP^x2If4_bDHrdoYG4`hAndX@l zzt5GpUD;A{>ujUn0l%uG-tyN!-wJJ8eErSIoAJ}%6sMG|w~E-2|701j?KLJRWs7?mIUR_uRABewZxX`*`h4 z#!c+JCUa|+EWEU%G3j%g@luHZzF8lC*leAnZO3`IkhN&{l__rwKSt+w#eIER{CVo; zuAK9`?tWsPq@z80+>~iz1(Fu8fLD}bCmeJ*YtIjPDSsBMbA|dH8;P!dCpzT`&iG6Xw{|xL7q3;c+-=pIT0Hxvl!0gIoWjmY zXHM|SYTwPdy<%3GsGh*eWu7N9ezz?@;hA3ftkvbA#qyJv*ByQ@m9#i2r;6d%I|1&d zYmcM-ELeMkXBbbAoB1m;_sDcc*R^d~)TsYCMm* zf~TKWc;vR_T2hslME4)C+IHgG{6jUX-t1^{XG7) zIDNAsdhO9^zI!JuEuSS56S+%p-HtiiYJ%CEYol_zt}xDL$^Ft+ay{|%A6LmT9mD1{ep*H`^3n{^gEKf?d?h!m8 z^m&TmitvXXy^hEK6{fe!^*+Cw_cB8{w*RR8a+RI@-@mlqs5`m!f$K`goY0DmX?3N3 zA9}T4%+5Jk`fh`ktq+6n!Y}$u3m*E}`$*bv`rg?&Z~tl6hGe#jzN?8zU3j~ zp5SRe^0%3onV0V?WtP3osC0-iM7-u+i@RaZ;i?63Z!)8w=iU8!;`v{hl;#UwuRb#E z7M8V|b1-?yqF|pB%a_%Qs%}%Na@!?$JHq2wL$Fi&zZt7~PA2V5Tr)@DgAKPJMopA!=Dl^f6PTlqKJaHr#yv{Bpp_O^+XbSbSvhtKZr0C){>no%3+b zrYz5paDn+t+}1>F@0xhH+SsS@@-Y{g$yIa0TlWUMeCWe|(toQt_x@E0`nNnMHScKY zdl>oh#-Hn3ZnoVQi$ALS+JA1__ImDLpTA@~NlZ4<4xBFVbcebA9erJsQq$iI*(qzQ z9Di;qT~+q1SNp-!TaVZ5&Pq_*nSOP{LwA-#c{$%Ur~I07eZ@rK$8TlKyUuIO`mJy~ zsy?>qNBWG1wTCmcg444rMLq=|URAzHN8hmWv&vdi&IR-CxD+3F=3d`ox07q8+}0hp z-*~)=4X83Y9F`IBSVMQ+>?J#5WxrktV|-e8r2XFW#tlb{Cr7sbEN0UGS1VjIzgCZ< z_lL>E6klD}cl)o;i1pPdD4X;e!doX5$cxfCq~frOezMa(h2Vx(A0Rr}_T8_Q?L7{rjiI z?QXkToxA<^>bqOzc+ZH>*yH)`-|IRpwk~I{x?eT|jIC?yEh|6#O@8t?IQhvx=gHF) zn%*+jt0l9oX^3NP;dy%akBf%wUzWqJMiUOcGdR7lsUc$bHimso47CpxYM(0n_`&qA zu;_jjBhQx!|2!T)XlMAme8IE7KYz&-gt}aIuD;NI{NlUo{-s3>iF=;>tGadTWP0(r ze|PV^zR>oe(cx^9K-$-Mw?}awZ~Wz0_Mzd({rXUa#FJ+n*jpMD=Fgws-*}t-F3*=I zGd5NH`=Y>Zz{B9oysPHdgTFscHpH;xeXlJ6!?NY@pr?&p9OUajkkY)O}_W>gFt&iZ=At<|K}|KCf==K zIRE&2*}iXaUmiYi*nA=Jtvz$c`$v+=Jy#Cx&|urX{g;TtM*n2_lPtS_#V5xE(5SSWT~s%{$qtU>qee`@2gZQQuDvK)YM&ZbT8LsSGb?|V8?6Moy-gy>mOHl7QHOq z&!1RdFE?TTCHZ>q{Xew!m-g3JpAdZ)D{C*F{{G7EdiMvihi>1m-}vsd@0)hMH)q)j zZ#dXjfAacXb-{GQx_|Ft>r1nCG|ao*A@|hVb#rC^1^)gC_G*cLwOIE3day^JdAIzR zE%xC)6>Q*`fVH>`i+eW|IRz|ZohxsUx@vIMT&r8-=%n)G6n}5*;+CAxwAOf5|NjopWaH%+5BwCq^IPf#vka?%!*g+g z{i{EVTL|6w|4m=Pk0a&*ZaKr_dn-h-QPz}HFeGPGg)nOGqc^# z_@}=9@!9!`Sz2}|?`%~1g!z+P>})S& z_h-CUm6jG`yCR_XtySh(&im_eA#a3*gx%%N`^AJsX-zbh?Qd%l zCN39Sz43CaX+=kbQFQ4)q1A>JYEvU~E!b1dIE&|8|9xa(@8wSE={KqhwKu+LKfU4R zOzng$u6XZHE3&G6c5H16uKVumR?oIYSX=Z||CD7l%1?QiKE1TPntJz^=BZf=Zse8~ zM5(ps9otg=pv{=YbSA5yQrMAqlhz-b*HZi~Ma*?4yU=fw`h$Dcf4g=t%jV!CR(s)j zPn#6F<7F;oO1+6x|IVjm$k!D0g*Bq&$`Q89+#Bpm{N4&RSbco_e*eR%GAfxiX2%m= zFD|$yf2mX8_M)lMsTJ4t-fm_z{$6QtUa}y0_S3!7Bbmho_f;Ke_UCTvXJC!km0Gi9 z%F@Yxv#;HoaZzTQmFI<{%YvrZPpgqzX?DYO2`oD@>ohc`_?Ix1 z%&73)kRqyIAY5v8Xns=_@6O7QeXHeta~H~;ikhq7&6&ON_`7~T`52>TSN4Y3tL*aL zCSGosF6(t^rh)ufl?&NFCU-Zm=${L+jM=);^pO2c3|d(OtoJzKKYSK5|W#i*t1&%>tE*S<&cO!_6TbltqaOJ_4|OXZGW zn=Bc`HSwB+TD7sKu7N?=O|dQM6DPOc&{J5%!+qkr!t$6IQOPNVcXzojVP%$PFWXT! zh3Vzn^|R+^8*f?ks8z!5PfDCuuu`D$d#2n__Lpaya1svg-m zv=2GmohT|IqSE_Xhry7g#glTVI`$B+H>8FLvt z`K|vq`gO7V@w#ogcg~L!tR2eT#~vp^d zuPBE9J@xhGcfI$ru`e%QKCyS(vt;)a;UqO(ht6Y1uH0%+<6Cy_a`z)k!5;T(zCR0P zVs5DH%1B!6Tr=bM(+KWaR?QceF0`thXrAY)Ep_tNhmr(?otlPb%0(G|>o{JQO^kd} zKR44rLg-W3Vy2Knj}jsKyK1a)?A0FMx4i8)FIeNymFmhSHoNrD7xOhcE=E`;Jw3Ow zW0CJnj-?KoPWrN8iVvS1d|8ybaQeEmwLjvr5B~eNbpH10i1S~s3SaoKB|>dS&)b_j zPbK&Snml`bI^fQyE0aRoo~lM@@Cx7j-=vx0xvon1M(yo&OCxj+%#43|zOs?EX1QZ+ zGXFJM))`V_VxMai*CKk!}b%VjUqYgXotYSaql}m-?m}OmYKSlcb7BseptTo>EVORwYxM*4sOux+B(6ieu)Fq zZ)cHEgEsdBRi5V&wC}$7fb%|uQ+BX++T~@okPdaO`i^XA?$oHbDS_>7guKvq6RoAy}&#JIpNzECS ze0c_MYbyJee@xK}Qd;gDEVQA0`Inld?%6vk-}LB8l%!T{nYKlwW9Ow=|2Yu2}85&f`1u;#1k%k90Q>Vo$^Z%gglMg2=yLiti_jztnm=#oDZ? zuY&oB(Vs}i=_jQZ^7Ecvcl;d(6U)=58@z+RJbo^^v?>*%>9f=YX(RUwcArx#x=|$f-`IEQ$-89?0P#>k~@W; z?A*1ZPFLQxGgPzpu-R4hO=nLo;Ck77Y1O(+TaECtf*0=kb$m@08M->EMx2}LXVexw zT(Lq`;1-jL%ay}3jm{pwojf7PE@a)22L7oh*U2)AKafq{!>gYr-O)5-1J@r7_izhq zLG6iR!aMz@in5&E`rY~U!@%es` zGFNX{dF~R2?eaPPnlBU9%sqL<$s^Hc=TG;Ox4fj9toYAmJm@IMvo_uCTkost)pFZ- zK~^2d*RaFj$VG{vtnPDMs~WI?~?b2zR$lR z&l!0~U_Q&=&o0}R>}H>|W3y6xu`>JA)vRaBzjkCUva6UKzTmRBm&wDk>rb9t9`gIc z1isJnjr^MUj6&8Y9kO0`vbOd~@0FrsIwAUBuKQ@NseIS4$m7;?_R=}a<0}q+wf|pL z)YoB{r|S^3}rjQVf(5+ld)x+qO`)sjqChHX3sRalq|LVj;{Wa^NXXC z=9=WkF1{DIIg0T~O<##|x7&x%oLN))xD;Qg?X``mp4sE#sI}7KvI_4kkG+Sl$1g6} zA0y#ruh3n>TW&nTdcksY?;X<8+=^+ zbMwC*uIqdGBHzCHVJdq`$iK5mcZs4@X)BxIqc=TaMFL%&6Rg)ScseIs`tQ-~;~lsC z^uLtE+}!Seriy*{9;NN)cvi<~yC?GASwDH+YWcNEN0#~O_?s*(<9LyF?fD6jIW}FF z|KHj4bNP2Uhh4k%9v-eYGd!GRzv`57@Fxjx1|5l0QdTe3CabsY*>~~L`r3sv-toUQ zHMwV1opmB;${uy5HAQ7jkI!t~EAh&IrLuBixXYtLhm^Y$c4$m5mq>XP@TEY*qI70f z_W#EI2}|S7$v(U8mHT+2m4);t_t*nLS`&`3)t)V9o&L+y;?g?aog!I{k2TkMNcbv0 zN&CLl#Gq63Tx85?r*+bQq*I>VGEZ1?#!;dC=$(t%VcQ>ks1&NOQ}YR{6PKSHlB81f zCFFjwR@s)vzfZ1O^DFZIjW1WlQ;MhNOK2?id$!C}?bfonEKAZ3iGQ_N?8_?BWPRaV z@qwHR9}`ky+Liz8HfIzmxoKf-e_d|T`!m%R-we$Rqr6IjuIdCwTy>gs%`Rfg)8f0* z)m{M-e7swp)L+iIyNdnr=cVgBj0~F2g-a>Ve7s62`9))9=*LalV$RwZ7i-W%o+8M1B?YSZ$!+^v7Kx<@#dsmPr4Nj=Ka%RG4GH) zx25przWA$pACEKEgg^K`=YwUJYe99fsknIkwB{pU4D{u*9k-ajJv(Ek+Lx_5+n<+2 zFE}AOf2jqJ=C;Rs{tE7OsO0>;Gv~|v&7M*#oh%=*-Pzx;EYd7e_~Wh*@)Ak& z$z0ZIw)4$|$>q~U5R7&abAO;SH7pzTNIYgIycF8{;H$yzLWlh*-ATa zxbp07P}oj!r?MpHc-L9IcIBRRc2h6SFXuGUIUx`b8^3P3h^zjp&-b=mj+rgIPwaL` z36HCtM}f!Am0wMIV(k{DX4za+a$hRW{Gh*+T{4BUVe6?=C(n4+rZ1Xi9TKl&%WG_6 zTfH@>t#Bv*#~{6T#X`;L3A4IYc(}N1MZLAoZVO4-P`1pdI_$)h8Q!XffD*Jf%|`o z+PBq3aMRWzvFR7WzDT89;QWp zA)4*2N20ruY>(Mw+_sx@<+XRifeOQp)Q`V)1HT_$al2~C$}MMe%4%GGRUh|@@v5A* zO5k0@L#8FV40|TU_U$!T(ou3UZuzMj{i|fFN*>Se)%thtSJ~08caJ8$ooTo8J=Z6u zl56L34#(Oqx$m(%(S-NXRM&HFPHvuf=sx3~qPg6<#edC1BV&)JSV{nj3!Bn-|bp{Kkh@yBO3*#AR6J_Us-^R`M1&OVv=8Eu zekOdlP+ULzMUAS|>}tEJ&&_Au+pllxOb|0O`2Smg*htPK$v9{T}8{`<=xPK^4vq*?U9( z;-T2cOKy97*z+1$B_`Fqf8ns?NB520%BSDyJXo~iUiPI|S+O!*Z_nsE?qOY5Wf6FO z;~{pL_s+8y7X`ZqzcPBbS8DSb4hvc1&4(As*gL8z&)FSvV?v7fF$v?u_f79(gIwi2 zUcCLsUaEIj@TuC1j`zNGsrD_?@do89>bcDq?*8ICV1MUv)0uM zw4)8naaoq;9;?XXmsdFEoXQnTx#w*D&u8z==S z?d26QPQyeM>6YUcQ@1i4v!B-PY~UT%bWv(ow)X8w!4LhO>RNSYPWyg?S?ut1F^jON z<|=xfE1N3WFF!3`W~#PvFVFLui{aLbS<2X=Z(U`b+`Z0wW!?H~q3iZAaU9-V>uy;t zUT%6~$9;>_B3iu)7NX{rCg(Q`t2~}^*;t>~e%^lFxq2P@cHOv`;=6lq$r5ebDTOYE zK2>p7xCE+h?=*Ywe05XNoBAdTpP4aT@del4$OeaBJgX>XYPmJ{=WeM>kwwq8Os`n6 z;@11Hd#8)qkA`<2N?O6x#_4n8n%}al!>d(Glj0{Cebg=f{^?Q62fKwm9ZR@1zb9#Y z`}BKeyHbGt0{x@aMu+OOHo9MB>HCys-rZ}yQ}QoTDM5op>dY0lZawL$i=0%(|0(k7*W))H@7$(Zut~1W z>Kjk|>u^q{rQLS~Iocw;O`KQD`4-z&J{1)%Snr+t*6$&QpSsar4dI)U)8adynpNaG zs3c!Fw&s&{z2u4yj@g-uT{f(HdHv$QjlUIG#RJn;uw@o7PUBzBxvwJgC-2VgXNx|! zw;v7t81!@Lr-@lR3^pYzc)#9%^>XWb)rQ3@s_h-m`bC_`Fk{<&sPNM1KMzuSPux8B zd3WR6i%ZBAM7QWf>#BcMEYD}LS%#m61-0;wcE{A--**X%>Gq~57#eL=!P4(~5xUf$oeV_E3n8$`M zVs96p+Wx^u`upi)HIGXZ-OTs*_UxCkcW8Bg`nuL8sS1NMqXQ^Jv+j+OLhzCfW4y+%}%9-f(l5exF2@q`d3OJ0XiLf*h3% zYgA^2d@gf)rl;p#s|^qCBwT7Z z9(ry=e@GT)E?2|Ht)@T{Z?D*{r=)p;ee~q0068 z*wlloZy)k8o%1=l^S#ym^EYq&*;!uyCH=O$Q<;L{|24Bdx$hFRuD$k@=kebiAiqVsn z>R#l&> z-_KMu_j8xOelqbIm;EMP$>z&X)iy-%V&%~yr1@DW#PSE=^A#IU(eUY&OhsM_gI#fpuuj1 zSv%V!Q`#T?INbD|Eyy6VdFMNM(c0Wk>ixkB4}APx@J+PHX5lI+EnUgeUG8kT{JR-r zH|m}a-Ez{7W9R0kvMnC2J8Lu9P1h72<~hG9A@9~^zrvTwb*~R`h25U6+x6ml=#qM= z7}LW4E|2e&9-0_c`s{nU^jB>UzZ12!7yTudN0kS>wCJ1Gwy&JrxDv;jY17xYF1)OH z_LGOulLI;0SuqP|H!%46UwU=pv%2Z?8O{fC4YIN=7CzmYmcK7kS!K5MV*8Uiw}fU+ z>W{LBx;-F(e6!0FQB z4{3{E*f2Wy={~8EjJma?LgCl>T2aZ#jwb^IJ63YDwfP;JH+`N@Nmf=%S7Ac2)s{Px zYqC9V*KihX*mP9%aBS&P|BQ~~>yO`Ez_Wg>*XCXhi&Yf`bLwT5XE`lX-1_9dC?aaxY}=Dz@Hz_iueSWW~Fq#oD#v$!_!@3=au+d zSi$Fzd9U9Yx33Fq+1%G^>??lfekA0A;d-6O$4fuFx^h9Ld(DrDnMb+T+f0mG(l%e` ztK=eIlSR9YcsF;t788+Qx6@fQo`MIxp=>MFV@@597{z?_WCu-qL=bD#q+Ov;um1b1S*6mZ4bWCqq zdF7Ye<5kPoMcm+WEe)Rc#p`87@5_)MMf=pH{uLcRX|-NB`=-p+)w*WJ&g-MUh55TK ztd;v8cI=pQ#^b(!55KgpJoz}ZtTU#Q=ga0DKCv5pbT$P&kmA)%uAS8HeCjb<=7Mt< zKd(t+m(7pfv~~4$p0saUgw@VJTeFaXn^XGsf&kOpYgSthFh87OH&t!g+EdYIylxdN z`Y``nV2JFEOi!@|l~WGSooLV1{ZM*sy7uuNi(@*Ph9BKdPkb95#%*lxy~;CC?$w_= zi(M|s3;AwbcJJobfb%QaBQ0&Gy>Fe=Da$B#vTyDJOE=qXOgyPGY%g!mTQ$Xpy@n%s z$@Y>kX(3VOvg($7mqnJnmpG~&uPk18^PJVA?;p3ZDxUr==EETMUE)>?ucJfVp_~7b zCuu4Befhd#<*qpSFOOfZyOQ9)`Qe?S6U_RmS54QXChgDSoOskQ=1lGnsg;kMMU*u@ zST4GIVB^(frTbO$*L}WO7cn`AJI>~elv3!!bDy^^s?as+Nihxjcy`uR6`8UZ97e6I zUzUD6wXnYYyXf|%JQcqtZh1V{`m@(f$Ja)mwuc{P*}vAOI6Al}VMCPWW3$;sdu}-} zahx#|cH&XDnSb)qk#}yZuCKklJA-%e+g*R2*etoL8heeUW8n{_ZSi9FZ@PTV6ngW+ z>%(^5d7jC}w`Z)DVH2a`=bthAsl5M`{Gn4sqGY|clSGX`?nt)*Ye~quMLFg<>f_ouM0i;ocSJ~?m6`O>k*-O*B^;~m#V2>SmXJ1QRI^YuMTwI zyuGn*dl2^lQJ?tB*FsjPFn;O0G{w!~%o6?fUgj$o`&4=EveoED=K0ue`F8%$T#Zl7 z9ZV9Hz5dgii$8@OGq^XM>txu9Rd2nNa@*&9JW#5F^_w+>$XUw@Tv{mH2w5s)`zNfce$u`H>c}LxfmzZxE zAz!+oULnGBW!HnYS>G-+F|U^1`EMU%U|+s*ZJONm{@I7mAK(9dLZ|!X&5ilV*);YMnYl0VZ@bE#EqU_FI~5CdedmN+hV=nIR42H_YsMzM>+4`` z+LQNC^z6xp&Eb)ZZLjBC&khPx7o9qtz3)xMACJU^yU%oLPgi-^znJg#&BxW&OYPVk zZtw4$wXL1^{hP3px1OxkQgC##%a}aT?XlXOGaKr!^fKFS*1P%gqL8N4)$+@A9GTTS zlXq`d<*!ZRbKBsnc8ZDn|ATwsRX%LyA@5pBYLy%V#cR+1-=etgzOQ^_rr4K#^=k^A zGR^7;<6)QIbkTOjOz*&15ti10d=e(noZAm=f6gr*H=$Jdmg)DfPj{RfCZu(@k z@7%N8$VV@($(tV9<=)G_sq>{?t$POV5limUeg0o_@2`-|YdCbKDpPIOpNDCz)odqL zKCyf#GbQP5dTNb~f}!jGi);AegcexnZ?@R}N!@7pvbIY=3lw|B+don3PY5(k{wP#PZ zu70@PQM2rpRNUR{cePpvk8INY<}1jt?b8{Z`CVq-g1f}O{?SSN@w{@E`a$MfTk9-& z!km`o?eDYpby%(W?MXxbfrIv)ZY@G9#ICL8iJo}vK6zBWr>*P`=J)KpZaf0>|Y zyhypT_pZ=%flW)=rUb0WopjQ};6eTbs3Z!6i}s<;6;O6_a&^^f(%W zewOZ^Q(M=%s#^Q!F`K7rVh)~^TUoqtrOMAk?I-P&-V1WGwdQ@C@y}~k`oas-Kl|C$ zs<3?$>2}{4f1`EV^(mJFQ`^^H*It>e(XnUErK=AtzL);`p;*c!r}vg`jdZ-GItwpR3b zo&BO_@OyF9bN1|$b~Ot3jaqH(KNp3rY!R<{yJ3;^!GpK$cy6nxuK6!*;Cd!d_h_sr8yDgT;ZQ;SZ% zUTRl5Y5F=}DYMrv{|l}97xMLQht)Ol*U!1~F5MNKt<9Q{^4{9_!UNHVfxq;7d8UfD zp4Z*)Cikg*drinvqpYfg?msd8V81;kxwycP7&$%QLSh zzAP^=cox)m!Qz5jFdSkld!O%eQ86 zMfZ~Iq}@rM^VU50k!?TaHRI1?X2wNtGy&3MaMNK^v*VYllP|T zj?{EswZl8#ly6K<-T9s8;h~%CojzZ@ubgQM+Hvu1`BamXr~AGv&2qnVhkviq*0$HB z6K|+bVBTA1(4Qn5Aot?B$wmc#5!cM?Uw)Y}pLzeRqtKk9KTNm&xgUGB{AyN2 zMB3`hO{$?L5**ikK5c)gwsiI#->}cDGLhfc8ZFeF+_^qC;Xu;KIgelKT|Cd)d@SlD z|Nc2 zm)c(!&s??q*~>7)w^@f=UN*^jSZ=s?iM#2{v%-_p&%F51{qK)MpZJdpl6*_V!vYqH z)kxkwxXrC$ci;q;Rj)nQY}a0tVI<-6+hWTWS$B!IZ?vyRTbI7CJy!L1%FidKr!8om z+n({H^V_e&t=}u>dhEERGp)?1IZl4|{y%orE9Onz5qYEbM8U$kpLs01F4yF*3_Nmd zDp$=4K0C8%34MpZ`lUn*p8K)yQ_(-k35#PF*(De6pS0#0+v$7GHxs||))^KG+*!`U zD-d1A{3%tZabAwU{xv3Vg}@{cnb3?AOM243=Kf-tT(7%fI=hcqM4{pN)#91e#wKj5 zALcxIQx>lCA$w6}rO4ha)5E%^EsvMy?NCqrA~)4%YHkk)2N#?BrgXQ+`G@CC+p%nd z*zT7)^QWylxiciYWS#oj@XtamuL|DQrk4K=F}IbMzfqOta@lgm0kyTUN+!oRYz?;5 z&A4S<`XgoA=F+U7#G7V@bCWspEH`hudswAs$DK>|cXQPe-sPqw3bf1dpKf=X>1tlM z_Cm6!U;J$Y{r8>s1&;Ujx(UvbZ-`Vm7v;>>(y15R7YFcLXrS{#YJ*!?^V%+Jzv!&}F=iJtk+>~vm_XVV;T5WQZDU`P{W%?DF zd-QkHbg|ZnGko9N*}QUA`d*t=9ZiQ4og>GI`=7N%J~@W%e@NwW-;&JKfn2tvXg41O?&8v8CT}Hiid_?nesj) zjbUou8I#Q^%+0ovp~??hw!HrK?p;xwYN5}P4_ucU3=NFt%f9~m;j~=ebr%1vcPwQT zKXlHExcVhe|Mr~|MQSZRZx+1T;Qc#BebJf&g_&tb(|44A$@gvkAm8?&mi5n?2Mh1U zDe}nbF5KQHo|SBKDJejMJT|ihiMti+1@;i?B8+e8+R(l0{1Wy{i5$ z?;FJj`uHT3<&?use#wWtnBRQ)_|o;|Dq)>$C*C}~_+qKUw!I&OkE||bHQ2G)MFkA9 z=7bv0x~e(<(pE+5sgC!m5@lz$>nB-#s^EBG=s2Tm4v$P+C-bHo+B3y>J3pAW&Eq|< zQu13h>$!hT)V1<2r{2`f^gjDT@5!+bVm0D%|4uphY`vsZ#+m%J;M=Ch3jelEN{e!w zy{_%7wCE1w#cyt|E~xaFmZ-CRm340bSJ=0^x*xt5Wt^B*_tCSF-zHJeM$qg^TE_Y* zF5lLCbzFHzS=7hhL)3S~s!|802amBrJQf3>46SM<5u6>*+kzaz;*Q{zt0yx=7=s}&!V z3kbdz&C%z`Shvym1-A#EV$9DOtl@L|x)fytYPsaUH^uv`6yY|=Ie3WeQY8yVC#%-0 zJGuUfc3hluH_x%}PU|!~x-9;upyaVbt)E;Ntr{=eU(bm@bVbWt*vT{U{Q01o>0P(Z zt=z-RawnHlI6v0>g)XD(^p}r+oC?_)u}^;UM)`30y$_d9UD{vtV8#Vk&H4kU1s(4H zUz(ow-{00)`SSm(#+!`|H~gPIXJ+%m`lkQWi=IiP3V)q4JH$Z17hr_?SUmPrE zye!2~(D#11?hh?}zCMOe+#eqt59i}z*>T_N!TDW%>_Y2T9no7qhv}R_WGQEXPDg`* zZO8Qb>-!i26GcqvmxViM7b6Nd8v0vU5Jc38kPaQPw zGT#tmke%{p0?%T`t<@VK6f6j3{UVk!wm8OKl_2pkX--x~uwDq{% zpTO2o%=3M@aVtv@|B`R^Ija{gLB>gQtEv+!Pgt*(W&^l^dh z_rkx09B2O#{)kmq@15xJ_^=1pe^@heJZ9Ur@M=oR`vd#Aj5_kSKK1WtyxgwWmBGQC z_5MTkrDrcb=-TyieLCu6up$cd zd+E>pWP9$P*Ze=<^1W8~ef4{N`Z;}_t1B1!u047$_V#{${>A?}q$IY;9N6CfQFQG; z{j1*?7JPjxEB|hGIO9Lb+DH5$G8ex!GP^0&EbCDCZFRf9IN@60eO!Wg&$hF^B<0a!-Mv%A9?QPD`1tMpIuKV`bd+7~)S zd`h_T*7fTTtuK_^uX^TGcQgOXY`@U(9nY>msy4AR+#p=BePVfd!&xzYfd}V30w(mm zd$&G8Sbp)f{Kb7`^B2zB{eRCvmu=JRpS^$6TleZl-$KF0grA?*UaM)C=3x5nm22Lc zzC<~ZGu}T_^^TqYCHvphU&JOMIzVC9k!GiPDRcU!N`!^0&7RqKCZjU*$Sza+9p;oGRrnZ^Gy8P=jHbE&Odl>viZQdyLS8Eb1pxktuuRyw61%ZMZw%ZN%vba zsyU8_GT(}R@VFss|I{r4hA}VAf3z=bEV{(~=zD=>{Q8g6w|$IoxEp`KoI^Y)-PrQV zInn*mGp%&)te%_rE^kTn?DCVbeBa+R->HAhbX9mdw|M=@D;;LL?pJVVwutUbbJV$Y zzBM*y_wkAz^N+ndBeq}e(!bDeZMW%*-_v*3n0K*y{Hxv5QZhMz^;xdXj9F=J6Z6>j zrSCV0d|jx`a>^>@jleB|zwxy{LYHs+vi_p~idi$Y&k6NbbUZeD%Mp4-MQdxi#kC(H zSMIdL{I6!yYVfc&*k;uzxcc~_n0gs!_DH|1XU3AR+hyQH z9`S6}Gg+A(_c~?%iKE(jCt`odF-WzDh=eBYu(<2HBwv`;d)uiWRgqF{PiMAI%-xW|_f;_T;|r*BL#V*56tZBoOU=sjF3f&Q7}Hb3j9tCo1>Ms6d1zTV|M=km{1hT|z#)L?V0d8NKSt5Br_H?X_FG$@cX1GvDs>u>Gt* zFZ0_*MYbElMvpFv+%4Ute5ZQC4u$2%J(I#8pSu2e*}4C_dJ}85$JN}K5WB@Hd7F$5 zr?1qZm7?ExloF*@1_pEr0-cyZoS?yO{L6a}bEW7kI?33|4Zn?#e`?@Sw2u*$66DFyg zd1>3%Ju+?1&zbfUgKa~$J-1~lSBzlZ!`z@#&vP*@Ir!i5$@jLdlC0WY zD6Mid&is#xj+07!)8-DI=`N+YfuTxE#G7WD2w(kXey*Eg$yG7eXZrWg#%|tryFOXh z{N6Stg_>>CZ1$-*8s17$-E*Rc`}^+cCh>l1cKfHhI8AubbzZIU?{oG>iTdl^@v?_E zXFgXpoAx}Bt8Rnxf|TIJm!l^>&wdcTJ?+w;X)6157j*2q{?@XvQm){aFxP#B7=~P< z>3r{$Bz7e{z5a}O)0)XeZ7(extXiI%CVpv7KOpmX%~me8cb8);-&a=G$2xZDUN2g= z{$^Rc4(E~fzy&`|tk+H8KD&BH?hm8z7e&Xj9PjdfVO}ky*{z~}=_1qqM!_z_Rf;*Y zS6;LZjGa+DL9Ao1@$(>e@3zSr>5IQVeBl{>=%Q9{s5q(wv^8FUS zt1dH=i~sX}`E*1hO!XO7uOwreNZVVh+8;Y`aRP->px#oJ6}wg!F&Jt zTZ_WAyZ7Uk11QG({zf>6u zKb}_gE9qR*#nl1o6C{$V?m5?(X7eBXRJpJ}dDG$Es+c|#kG;KTbuaqVbN+fGHe=6h zw!}3}S~E4zf4EWWX>!ecj>J8yypu_snNc$JbF!K{-ApcJgjzj+?T~M!r0lbj-S(>i z^T}VPEC0Sdczxr>qth*Y_2QCFIXgRCHompupymm_`GF$(?{&40>CbRF;(uN}@wo6} zw$1J(&bQg^U4CfJ{-?4ilFR2^0K>m%u_T+h8!vr!z5Y4I>FNt7)iarmmtTqARb4f8 zSMv^D|J{T->gc?NmOYJbnH%hqW*h^y#AST+8m+O1P)r=6oY!J@;)Tn;5T+Tut8P1utwK zN8OTAy#1l`-gT{JMM5s>YfxW)mmgHYshAU#@Yy z`B;&Q&hH;qa&B)MuJ~B6HT`|M#ISF-!BeY}Dsi!E3frm#S8dxW@cxo{uc+mN7_*LF zKkn{WHt31jaW%iq zQ<|47{q|#(4fCc#lV?lkJI@+28qau)*ZvA>Gn>n~cjh z%(2j(I(gGZQ-@y`<}#=EUU|52<-?C?*-uJZ*Pj-)u58|T9)sJzD}k5hubo{q*|pwur{mGSmdgzDCJ8WYs#&K!sXAk)`-0W79E-wkS?TS& zm{iw!EN;s?q2=c;E!Z$&V@x~G(%&61_X~{z8YikO3k+Xgv}n2-_eC+L=68o}kEWh& zi?U!aHv4(+W==H9;}w_E4ki-oIB26k925MvOkZd7^p z`%{ljx>8oYj*LR@q}MUK-yJ)q6}(u||6AKN5e5ebpDT>sKfhhRbTUrJ-mCMVtoB`H z#cLVrT#D*?&nNyrepm3Ljf%qEUGFY#EDvU{EQ)(H!A{-p)LWLITaEQ0+cU4PKIVI} zs=RpNoX7Vz8z?-wdXvX9=;xOuv*pd-q-&m$l=GaR^0Q1b#2__v=8Ck}cgl0-n@h{g z+|c;pRrWgXhst&>YftHvT8rNeebwmt>dhaCn}WvzZ+)~?a#+5|`9yBQu8^3-Yl8Ky zo>v;w>{rGm@!nNu^S9RsKk34>$voBR-x6ny_TQCRGI@t4^KZZJefaDK+1_S$CC2nu zf0o^MDYfR?KR4O-in>pez!RaX^$ltbJo=4aLh1xq>fBGnd6Z04x;DL-x6P+%X3n;< z85|axpArx4{AS5v=6d$QzgtgqtWGT`?I~=M*&tP4BVE?m#_6#q{EWz!UqRLHbmpy% zS-GiYN5{DX)h#PkwwS){cS(;`Trl-{Nz3{26WTvy71+4c%3Jod9C~_#FMjEs-pQx` z&Cx0>*FY8U)x7 z-wY-OZ9Ba6Rq>90jB|Z74*Z`Z{!M4q*^mz*iZx%1H>S&mPjsK&JZFKmYr!LLzuERX zx=vfoTk-y_cZ*H;n}*J75^lP2DeF6O_dS`_lE1>|o5GZ{RiZuSX;&9URvFna%@MHD z<&N1T_UMlH3WqC9buBk%*c_exJh84~=Au4lR!!lowacfj-+R)rYK@Dw_kKH->M1rE zH>ABhHJV(XMyxrwx4~zfr||mHuNQKUKIrkQWG2WNL!ez-Bw)hy_}#EaR>j81O| zw?4nB=R{5S4?FQYxsEz>3UzJ1JhS8w;`RCX(D^r~45QMwEgPa{zWaA!_L?t#ve~WI zMbj+|v=`r-XLBxJg`?_8+F`vcQEUGrVINk%KfaD*U&6E<3;v$YITh>v*>mcG>=Q>P z{;1x#lq>00|JEhymARi%e%guZ=t)_1tz!97T^_#Sa^;;v%j=6%`g=g-@X&hO#hkNF2PU-gAg6(%azQ*n7*PigC>2|~M@X)63 zX2H6PYCLZ3*pt5a`I+fEW~oNC*Qz~nj`Cug?`kgRw65kCXZ8Byg+hF6&Qh7Xk6u!} z$^3IhHD~^#ERD5pxxJ=t9wvof3boAc96WK`@G94%i+8=37oVSdx7)My-Lcfe#Wkm7 zT$yK{e%n9qFbnsC28$=3!p_!QU*jln>5|Nzf31GE)7F1x6p}hQnKP{LOj)*@6#MpL z#`FHE4$+BSNGn_wXt}X@-K7S)$<2^mHQq{zqav;iAKq)IURW^xl5;+ ztTLJKi1W?uvoV@JS?{~TOgPprUsX3DvrlBcuyysOfV)Sh#9E(J{`FyN8BR{VU{66}>?ztfKl|bJ*wO;88B-6OXRf+<>B-L{ zJ~9@!FYn@gEt|*`-JrVhQu>}#V%MI;yHs(9?Y(*aXyU0!p7-3t%4Kg#+;_HV(&bW%kMrhFTHN4WGjplF1OH*0=*j*^72A)nmoBvY zs%Guuf5xq9dZD0({XV~5L~Jet?m`7BiK>Pzv%2mXE+49wlapPZfG-DEw#Vz2a+ zvsPJWGBw3qPD^pm$ll>Q+0gfYKwAEbc_%yfc`?Y&zOOu`;;q#3`8;?3nrhvduYWcC zjE*ZMc9+n3xZn{~S_?yB{=7v6W-m1Fn0NNw>8>@5-u)mpKza&67Q@P%9Ei->-l z^|E8ls)!4w5=T=*uE!+(O4EC`*EK=GNoto+Wug`1-T246YG&Oldl&uxC&@Z{^6E26 zr*)oAJ8t@H0@H`pxh8(?3O@}_Y|9Ru_%;2tu5t3|DvQg3=f53jDLk^_>gnW#3nu@` znrXwsKK0I@FD3eyj;y&%|vYGFf-`oA}v*pbA z<70B=yD$B7pYGsx)cc+88lQu|V_zD@#!B4Y{Ih3<^`(#&DH-M?3jTAy{Y`p&?$p*- zUD6f@=O}E-HxAyl{QN5s{s}*Xu5LK>W^v7hR}*KQ*ev^GYx^mVLzk3~i)0+z7#i}m zJyz6t|INw2+(gUG{sw={3^*hnB`NCH>sNL9+T?XV)HUvH_gVisYO3f-(W;tXYkq27 z)Z#upmGR+8)+L#nYOm#Ln@*d)-rr%fH1qrUGuO^~^CQMOG&L*v71w#4yel%N;!>7J zvX)sMy`j*#V)3o@3w0iPU*K~yTRHiA#fi-&_pam@$#Hx+-_C0pp}In`RV3s3l?x(2 zRl`2iZ{HsB=B{+Dw(uN-$FnAC)$S{=v$oEfW_DKIY-d8!l=t%U?>1=#b>4`)_wQTc zjP$*W4vEbC5pJmRo9*%M@5^SFt-HJExJrlp>Yx+cW#=_7tMJSG*1Qm$r+Qjuoj*gU zzVfcwFJ8BNC_Wg((7|K9)_rk#nAwBH;vQ*7Kc35wpD7?Mf5qjr$SdYYmiL|Pfhgx@X~@;gfD;1PbD7?PI{6M0E_0H1ELLb<>C$05~lr@X5Z!JEx zXZGZrc|X5%ELBx)k>k_7Z;TDAzdf;8<^G%ZUeaHYhB-%TlV7d9lecs+pXIAP z^HP206#Y^7*k=*nrshAVeBD;{{kyK-{@moApqU%BC1+;1n^EcR!Vf-uyVj^ktl@pH z?j6OGDr0)h#_XCBZ@fdo#tF9%+MSY`aHjdm*{r*qPqt+3NNNlS6*<#m)#2LoKyK^* zBVKa*EgfFUTUUf!>two^cDhTWL)wp{V~^W;iQNfz!uqGqb=W(%_r;zGizYhEdMhm? zb!Nq}4R@ETIx4d>PSdK);$@v(J3UHORE00dcEPsJ^SqKR^-@BQcBmz5*d(^bJFZ!O ztn>Q3>-=mDX2&^wErGpIsU4$Xzs3?L8+_#@Al>| zPrC8!*)vC<&M@gMTV0KJ$*!!*NsWCrK}Ck=k)zx#!v~Uj+ImKLQ>6}0+!@o9X1@AC z;*@7L1ucq`wEJ6jI_Twicsjc2AAC7SDBS4rGM?)RFSQMi3s;z==Im&b&^h|Y=JU;^ zbAIoP7hc*P{BP!s=Y`e2iN6zkJCAMG|L1zdW100Og$>Ef&dRLmP4@TALp|HGAMSVI zn>V9gbfa2<((1lvdC~$VAt5g(EnIhIuF9tBy$7NX_b;(q)_jXiy z_-+cCYq9;#U$dkuA7zfQhc_r+}5N6y5piD!Ld&UxF1Yh5~!8#w2h>dje` z+_!IMYVw@BH{nc9p2MlxwpqV*vZI{7DmxsFtDATtCe~b4zWks?L~Ur7YIyV|_OmM= zEM8|Cv;3?#Iz_TE|5v*CuO`-|Ie+HQXc6>YdXSKm}-!S}`m*Jhn)PJTE0<;UmG zrp#ApdGhK=m(jClvG4b-R+syDd*i;S%Qida%ramqc+(Pnd5O!BDI6blzs~*YcQ^F5 z{AyW~4X(U`)*B-$m8E;Xg2Y>(a6&#m-?~X$M{q4F>X65a?C@yGG-BhDhF-ukkF$KO2hz>csnQe;e*VgZe zlYQdNQh!-hk{5Ql}woF zu&Mo3gnKr>#N=e1%&%oJN}V5U9+b7b*<^O?i9~F6f&9;yRKDies><~8mbT?tE2jym zXqyzj*>Xd@$d`*XrT@z|_M>Y>))zc8+qXjdr0LG=-ZC@Wo10nRJq^!1^sD3hMc3D_ z<8uppWONOZCmiZq_OfC}4~y%`!ct7vKL%TP>mVF9tTQD*9q9?b% z(f+q#hwr6JTTNf4^D6nJ%ctkNKU{z4r22L7_01ZQj4IW!e~k5g{0pZ5L2A<)KN?pDh_&o4Wjtm=IuW$*O2F)U$%^Bqqn zMocYTep9h>`-jh+B0D~{eOH?9VspoI-Hit=b0?-~=d`F+9=q|c_1or)Znr!xEikg5 zF_GD*R?ggV(wD1?n$FC~&um|})7{oLFC|p|l-2dcx3@N#i2Qo?>+H2ot%ug3$<0qE zZReilcmC>SpYAG~O^5G9n09;0ZQxe%(-f1EXW6_eaKa4t!wdAE{N1y7dd~t4-Ei0I zllr%Oeq8$__RH^Cf{bf#tzYu-Za~zn2M6MH65h?(r1UKKlJDfz{x?MaFK;NF$=TZ! zv}=FUp%c#2KTiChwrR_0=lgPsziz*#oQ=!yCCbdHD@iO*zr%zq+ZaY2p7yZsA&$!iz$`8_&Nwu$a5wPJhY! z`&DnZJ~(EzSZ;UisU78~4|C{EmQdP$^GMZHndkeLJ8imsXS!vn_mcK5McW@g=XrLd zzUDv0FC=0V6z^SF;kF~6?WE3whnnYh%q;!3lW)FPb76{Z%h@%*r>wZ}srK;~#dyni zoJ*r+(=XcihpR{ZvozS7?VjVicGC3npAL=ejTgM0CVAVaetz@ux**4LeqE2pci-tg zonaMnjXB)r^)wc(>ms)6!#^nXicdYeMRm<>i`h1N+kRfV{(<|0?Zv>(JtB|e_ARQ| z#u8SzOEP)Igjz$X%-JcrbEcjQT{!)e`6b7t(ykMqrX1fXRkFc4t#y&;?4Rp|AKFeX zZxxc9!F&JSRWtQjH;?r$``b~cuikU|yr5?)WAv&?T$_zt*Uea`J?X<&XNH5{xgRo| z5LDsT_VoX_XZit+){c*V`&dMaT=)D|*qi)LV}Z`6uNxc#5^p!GEc@x|$1D5cYwGP% zdFfBjszmE|?>v(gI<4j8{-h~2Dt;M@iyXE&_w###dWzW~H-f%=AruA== z`KI%lH^fiRHS;f*{HmL(`_Ev$jE1Y7EXU;ycTacv*gs^5iLOj4d*-sz^IrQU#cMpa z$vUV1oiZ}CI@MNva0kn(8@47|rqjcXoQAXWwiWfT~sQ%>w3AW@ZXl4hsNt`bHCUAefQvdZKccMf-i?ATvlXy z=a3?OE&W2l`}UrW7Vi^`dtdJ7{<3Q~D>K997t7sL*Z3nVg9TWOm8Q&e z|MYl{v+y%v!FSROjyvM!H$ulp_#LjNI-+2cTLjk$#2{hQ^aR+DlqYAvMdR{ z{Cm5dV+R+PB3Bjf`Q#HlLjSr&1bzG2i^6()Z*4jks3th8!0S*0E1$^sqLz?l8z*x_ zBqUB$IWmE@Y0{DpD_R>ejxTUg40w_>UD4UFBSlJ$v({>H6uV$&KX*R+ujwb4tet0@ zub#X8{WfQv5QP9qzqUo)`8WL=S)S^xz2r5kIi_geTi(Ujg#6`?+IsU$IGR-|CRucS zf!{(7<8^mV=e+9Sn0SqU)eZSWi90^c1{nLFE`Sn+CQ#tZxmsP?BSnT+s>FM z_Ek9fc)70k51skB=iRx5Q;ZXBCZF8FFPtt7aHy@>X}T#f za6;PD^jUJAJ5DTQcG}9BxZ`o=sy8lzNBIi>3+4Ym_H8?3?AL@v4Ym&qIlDg04O5$6 z^WeDMzs_c9NzTMI_e3nd91)4Wzk>71ttFiIW-rk&m~#DXXbaOso(U7$bh239{CuCC zKl_rTew&q;=kLc~Vg-}7sk~M55LkD@K(QwD?!)(sO7!`!a_wVSvcag2yJ%+rlvml@ z&nN9xD+n>w{Wp2_)r%`O?W_IZcjAD+<%eGPOD|_=f85u!D=Eq-IbG_T(!2BzNz>>3 zom#q-O}Dn%$l%2pNjc@>cE6u}YqvFi^jjs^6jgeP`QqFo+iG5L*t*{L3U%;bx5_uK zc1coR>7hxwUHtOhv0bXO!m29gHu_j!x1XMuw=c?lv2*>=w{N`pmCw)aJzr9IZ};1W z-rW|bzP&a2d#0ytW8fai&X?R_VTl*(9&(+!S#oek)iUw(uisfLO(~MvyGCq&aoiIo zxhv28B)7gPu(Z7zadPf8Be%qB&-Gp~m)%U!FHkLY`@-|GwR(BctskmOtq!hVcP@X$ zx>CmZy+uXGy>C8U>X`NP^0d|2dqQodas4V(pX%Fu>)rgz>WZ%e{%PNto44;s+@+-X zS7n&O@5M6jXPP8$wa$(Ceb@~1chQ>{h2DC;Z_A8ps#4#>Ta)KK57o;Il(_1x8Z}>y zC;GK`eardwS4S>4`|#eGyGy(Ce!sd?&9u!NH?pst=I82eU3t#7`u;cnmp8IFPrr{i z6q|qb!s2hX_3wTx3CrfLnR854)}=S;U8(E!OTX`B&FDJgYnBl{JL2}#*JkYQdZ)@S z=j~f^`rKjORZskGea%pe+cfiC{|&jlmriWX+I#KPyZy!fpFVB69@hEe+PyaJ>vpR* zneOa=%Dw2RR^n8)^WQx+tHg6Zb!r4@?pT#|!tTQ|{saD@7CLXm(^OwrcJuq0S{6^3 z@nhHClF$0Trr!>|nN=#j|DlrKPQC;4`PlcqmrP_^c#-X>$}xjnp1|I_i;td`Twt;H z%G&N?YYTa+dur*u-GR?)PI3RfdS5L`=fFjA?_U-Nrky!@wC9H2^cP=TWS7lXJ;G<^ zcSq{cqQBp^EbTooas7ss&o3I?Saa)P-|Z+~>HSaIUpJ?2U9@z%$<`MlQp&dCl14GF zKepeDIe0pLp~3z3J6DsIY=}N=CEdUK=}W6$YOiyIWS6rY-J`)>QWLwI-?gtr>}r?8 z(!Adb=CM0_gzk6iHM`MXeLA|*GgklGXVZln(^bPZg+|%SI@;WGa@jU-Q*KqY(vA63 zSH;bExZ%q@NzF6gPMJ?#%Dz4BuWrMJga5W>sw@Y z$@gfY%<4+HBdg0pr~5sNUoH84Q}AZ)=0BPYS04OPxG;}-CQF&p@^yFaWM8z4oO+`E z`Ppgv_RQ{HA)DW?skftrujl@=N|C6@`@I|HY~IKgKK13^qB{voHA@t#Z-vXd-&wZ) z=R6HR&iG$^<&muqx1JYOSlybHn;SOKc-H0*&oVSpINTDfbnPouU)1bpj~1;-;u3M^ zJX~LSZ{?G^3&qVsTG29*L2A))`_H{*msNhXb;sp!ZlP_T4d;gJJ+RnWD(uz?|DCtm z&h8I7b7q^zkM^DQF0T9D7R$9?Gp?E*{Uz$E&6V&Cn>KHLaN$Dqrdw6oE4J#}2HjiwQ!;QJns9u7q>nTa{X}ol6>bjsY#0A8+LIY)-~0#g%u$aHrk6a7@d4_?#?ZxHN2g?3w~HX zuy6V*5&5-rMaT9F`!$S?`1F;Lf29#0DiRbJ8L#|t(clsEeK6U6 z#lzZEhG0G+jTDZy1&f*atS9*hayQq+bMfiy?%p8i|A?9GMcJ>wiVqXkdoj$bx3rH9 zVLIWsXu-RfBI&?kh8#{k`|U!v>BPll$#e64yTm{R^~` zpHX~7Z*$D-(DatnjR#%+6kg)=Q9j-q+UGCzDewJckN$O>%?JB@UDXoTcJOXAnD*SU zD*i{*v^E}o5fO0*lW(y*nT|VfHT-wj&m|)DrIWQzV#XDnKZl>^zmNUP?5*_TOESa3 zMs^0fkMl(yu-sr{f6-jy`R`&x&lmom%0f@f6VewdHg-rcJi7Vro29}Z_Va~`eRVaZ zT>SgqKd6?U|6l!Utr#~u(-nFB^OyUjy%!iC*{^tTL#@g6%MHEa*LXAe4LAiH7z*mY zeKV7M7;}K(v;EUOG1V+)A~7}IpZ`p74^ktLB9;U7R~Vd z`(5_g{a1>%>+%~{zWs5Z_tWk8#fW=py(3ctr|J#h^UFi(kKd)WL(=KtB`TPb_* z$u{M_XnwK&J4*vA(=p?1H$7cGtUEBFzrW?Sb4bEO$M{p5W*8_lbBZPWEtvGpHRA&R zoASa&efB<=b#l8nu3x{Ux1mLqDMmi!MiNhtW8KoGbukN{&3@{|9#9w`KWYB)w&ypC z=EN}Eb(^;R*~${hC*eKHu_qSzdWN?z)68G@luPE6#wo+()^E>TR1~U>UN0-$*;Y02 z*qfgn!gsH1l3U!=SS6|S&3eIi7q?dhd2aFhTB-wYuZU|GtSo(bY=&Z50Q<3&$&&WJ z=T3ZbqGMXywiTk{_MU6Mvo=2L`gA8ei~UNM-EO8YmRd>ETJHXN|JgsklHvXNOP%Mk zRHbjtno}Uleayj8AbI&`>z`NGZhP&iayM}P{~*r9F~0ExbhNT zkU-BT(`BsZ1$(}H{d&I9uJDtpOOeLc>6e^BU(bHX*Yo7UqoqHkUPh}qI25@2Pd1;h zK-+%f({nCIo%~nkxxbrpR={nJ&xT2hK1H3#T6ydGv8Wk)z6#cDTmF(?yWHhP+{)`m zRQrw}DQP!Q)>eC@f9T7lj(z##@T^*F^|6%NU#wXSo* z7f5_qa9u5=Wc9x{uQjv04{%u48?wFqGwGbQx7TjzHd*yYQf*65EobFZVEMZLgibch|F0758HSKtm!CHpN zx6Pe4$r(*Cy}0`54!b4uz0Fxqvwh`i57>I8xp=kEl7c%vMZb#p<+7~wZLjb$fAePN z{u|GDE!MtjowlOyGaYT71qYv0_jd^Y;Pu{gX>F>&`pwnq*V<0!#9m;J5PqH~-+9*z@k|#g~1b_@69c^R0fxu~bZZ=+ zeJ)K}c-imdJFm(&NoiLq3UhZ$$5eA&@(tYBJC!x>TY4e<$+A%NZS=;7(O1^lvl*fMUT^GOowcJu`ZXY$uygFZ8Ho7;kaQU7X z{%0aGX&YuH9MZete!(wp-SuOO6%QR-`~1P}mzP7Xng6=_-xnDx$xY{jmTW72lKW8PTUBh{S*E6! zGQT&uKbWfS?R~EDWapxPJjWW1LgvZHB}IFwIxTv&XExu-pEc?&8*i=-kTgE>a&N$L zzH*)7iX#&Z<~p=kAACRMiu*jhiQL`_o8E~ZZ+f}w1R!yhJn8eTv8RrS&I%iWBwrKJsg_-!{SSdF$`ok&fFDb-~WseY%W9&7+X$ zUm70^Uwvr(&3e1z*|hL8wTG6SYG5(no}jyH$1k5f7x%VxDy^Qx>KGAnDK_eyP3I*s zyXSs;tMA^Cu_VrhAuZSjf>M#dehzr@EBn!XUVnB2K6efzFyQzCyCmHe4{(zVi! zbNa?@pV+qPhQFU?)v0^=Wn62w(4;d`m*RyUO^uwBU7TI3v3v7F*&Fo^>$u9Erpcd} z`_=OF&IO-d7zZx$J*m2moy}^Uyc=WI+RD`rFRO2LmYHGv_DXrSU7kfn0jtHnyj7pw zIhJnAdG>Gi+}}LL-nnPPj!kc6omr&*TW(v!%Q;I~&o6)e+Ug@yON-Wd`=_VRUlcq3 z_hFRLi?;0-nRRsKm+mcf%wH`WT~gzDS}P=XL63dBW`5np$WN18PDyVs-Bf&Lc};t} zUxBUW5*uSxmh%(D?0$hOX)W) zhM$gwZF|PI)$#fTyF_*z>@LavQ97yM{F2uKg>06`?$5ADsAg2o z>-1lFFwIBu<>iH~U3+GAJT>hN&|=o#w}{==&O(3X%#8<6-Q!@~*HX2O`|TBt8(PBs zMcv=DQkLI3SH*ql-^R0nlG|Pu3clZYGIHiIzNH&p#gz8mSf7=*Pt-(g+by{dvb%DX zq;r~L7VO>S_x6UW(BVq~zh!pr@|>9^#J(xoV5;87l8*dVHC@j*n`dVh-cOGEbpNxq z=^Akhi{G0pLvvCeIxk$#`%Izc6(hYxY;8g#Hl26eEFJ~UxFgbZoCP(a#ZAqrp;>q z--4@q)Y|`bPb^-TYWZTZi}uWZG0@$HE$&znix4oR+@v%x4aQeX6!@?P8PIv+p%@%eW1 z;Ct;V>As?>t8N*qgSSVfoVtJZWU}Z7oBj>gKb|^iSN`yMZ;I60xT=5+MmG)@oL;zB z_6hf?Hsw=|+5b!xwrpIxG3?8!Q~L_08Z1jXdt&>^jq^(H+)(Td%w2nLN=~PR@scw| zx_`x1HY~CEc)-b!Lvk#4K8Wq;x2 zheul6tdv^Xd>K#ud_3b__9vy^w`%j+I&{2OAC9S9r*~TWXUg5emAYs5^nQu8weDIw zVJgeNHWBs5Pp&v7`@Gou*uM0gVu>$joL!=hteR7itc9JIa&gVPEi2>i-2EYX`poS- z#entGre-o)yevtdY-ZMcM{~~Qr5jyCYi5*1PSgH=vhK3JaNORrE>H48{B8DXDecmk z^32mQV^6Bwp?#+;f6l9rWBBtTqm^`oR=LEh^^r|ePLDa;)sw52Og)!8M57+o4!M5-Xohi zjGbq@wkf8zX4lW17!t~A=IyCm9w{Ge_H?7+lAfJ2de?1zdX0rQ*6qTBt7nB)yDIvg zY)eWGT@hN~ASJprBi1bDjk4eT-wr!p%{8%W{Sp=R{@OLgdH0!$FDo0y9y9#7eW#J6 z`l1C}M3)_k4n8{lsoT<%#`U)g!-!o z-9=Trm(9vA?9Y6#Bd+$ZN^ivJx_s@+%e#trJ$!lm;yL0sWoNz&xMsFBLqK4T=xbj2 z568Dk?g;aCHuRX+Wy;W^AM{MZz4lPNvxID?h)(^cnM=feN&MNaF#lOgs=yT~uGdY| zB$9I#>!qKDrmb~8$}6Up68kq~MdQBRLCjyI<<-~T%;}Xgnk~Dz<5uWtCWnb)+%Iir z6K-I8eX4-vLm7^XF|iH3JA)J68L3a4 zeyWoxE9rL6vo?uyZ^ABIv}}xwS`p~I`rVxill8ri+b*nGe^4gR zyKY|Hnm4n5e(ciO#ATFWXYuFW`jhwbi<#p5l@h48QRcR7>e(@pO{UzL;ymLD2C$kGB`QP7g%}hBm`ZM3Xq{hjW0c~gN zHdE7B_N@-jj|h@nK_e?cvQuI+T?yKJ%dFQBG zHb+~`sXXBj*A~VY-N%BS8oPpmr^tIfJNxJBgs+pUl7e-tKa14*N(l>ztyLlb?2?y4DTGS{pq%ISKiUIXY(6$9=ZzNUMRC5&Ux*& z&GlI!IhE(Fq-O}4nM*mpF6YV=KF#x;*Z%y*ROZv1^gBF>(-z4{Yd3^Cdt|ylb5OeM>m*k z`DJqCOH|sy33^t{a(-^v_e^_zeI)U_>bLB%B}p> zx}{scE@8eKyKQcpi$wIgG{)A)EB(K4v87MHaA;-X)XmpF{`tZX!lj=av!Lmhq`pb& z#r{R>1#g^9_;JQk=vk$!ir@>`9lVoF629y|$U4PjZOlvg+TD*!O?$=GSFSs}MYF5p zN$*kPCp`iizZmp$yqNe@>hc+#+m~e$boBB*9kBK}Absdz#gaC?H%}ZrKh>XVQ0}=e zF)eoH?}9ZeU*CSnJiBndWbvlsD$lR)v)<_tXBPRy+t=&N#VuL^2{RkzH_hhvoEuqk z$^Fynj%?R!QEC4@EJb{t7Afz%ZXa{ISzdC+A*tmS7d^V}EdADT%x6`9zuW$TodU1! z+ZS{cOgZ&-vq-Y@`h7n`m{NC%9X!HWzw5!&P0nR~%5_dE$F}$w7pvtxT4r_2>u7%E z;pw88DWYqODz|K8efVKd>84lhxly(}Z@iwomig0TzqViJt?!g?GbcSsu{Ty|zVK9N zg;{E?l~wV>-4F9$dpC1Mg|;n=@Smg~zq3Kv)Y9)7&kUKDh91U}ovyh7-=B#;Q(tjc zA>yTLhuONtA5?GD-Fct9#4+W0P>W60N0%FUEBCSc-0N-PGk@@eJ1ey4PMnnRjypVN zJbR`uUn6;F#k>mM!-rx_*IlnreUWb+dHs-1u*b*V$e9z4U(n$>q_h0Ssy#;zWK2>r zkh}Gk-}9;_FUcekBp% zb=Byg>B_S~#t}BLb8Z&<-doGg63)f^YDU?gj!xArQ~w@5qgu~(;gVOp2z3v?s+kS}u&U)J`ypkonsN~wU=g;J{>ckvnXDmC@;p7mn z5w`kJl%jy0c!k~iOHZ_C_9WRlzg#01DWWyQ!Q0HimUHIS$7hY2C$|aszPHa=s(5>~ z_IK;Fj9J}FWAyTDU;W@+dG-C2)SShK&bUmkc`o&H_Z7SBn@^hU-s>Kp&H44H%p#qd zoy^SZ(zZTG+^u?IS6iOq2lw6bR*Ak&enrLZ`})qEuhIMQc;gGH`?@H3}EsL`8{>JF27!G8_E9nR|T_2eFCWcn}s^vCg8 zkH2&M%-cTs=)s*2KQ>o?zPIgJdcb=wt_tVLeGB#-OrLr4;qE)P-e@iOpS?7#$GMp~ z!uPZJ{HsTQ2Aefk|NHSQ|KIM;ot*s+Wm4SFS8+d>!q0UjB%(xBkI~?>cy`dMcKeU) zVn5xvKP@l)_u2i=vg1E9#lQdie(ZO8s^-CSXLY;&h_e5(6JvhS+uX@>&wd)S1>c|3 zN0Wa4S}rDc@$#h2-`s20UBCS3zq&(hX5P2x<83RaiA)zbxA2{{y@kaej`%~r@(YD; z?z#5s*d>uI^A&wOGF!b}~zF+^KLf`3c|0JuudxP(CznJ;{@|6e6U%!6;*S+(lZ7(b5 zIg@W!)~l&))>3+ryylDg+X?$Lm9?|DY7X@OH(&S7|K;`9It~tc^2HwvH*f^&$GBbI za+xcvtZe?hh3VJBN^2bUy}9sNb;IrXSv~L8Th1}N{!!y?&^{B9qV2qE-!bpZ=?!1} z`T2osvwm+9OTFK`u3_F~x4i9VmQFhR?Q{Eqk`o_(M6NuRCw}*(q4&Pv*=nD&SNlgw znt6rW&&er{O`p$qUZ$evIcG=XCo}hd)lnZ$ZAdI;TwQMj-^CE9~+ex#WMdQ<4yOLi#KPIZWv^*xKn#p!T={Fal z3mwG^`Cz?+MACcDDKU2MoN|tuT|UX77Hj@<%Kc+M8a+$Z zrl&a{m>p2>ws)P|{xA3L?Qgv|Evq)yzJ#gVc1EDGj=sXDoL6tI7}X{9s|bcXxS|$t zW-gnYCP#~i-y*HP8LjMJqmKXIDd5cdBqAo*{-9*L*mY*{sN~HF)oYhd{xQiYo^R#M zb(d_CPdhHrdXzr@>R;Alw*PkCcmJlf=kb-#Ml8OL-f@Fl;z(4wXvw>_U$E8*EZiXn7l4z zeYuM533q;>$5$ntI3`uDj(AUxmEh5UcS`e1i21y^H%^>}s2P>FM39=+~>v|I4So z7g6S7F5%pkdmDky-rknGyLw;ct-DYB%bx9xTcx$~iYK2&BxAUID)Z&-|4m&Vxr+CN zf1P;9F;+Rj@`&m|r?t{?FXye)wkR}AmNw>neJJ(I(H}kg|IBny*S!8q-+NuX?EYZC35oF3Ck#PL@47o_S$=vJK$$!Y(jf*uX2kq|+@)h4UqseZnfiow?uMnm&JD{fc+bWS$$Z`qOGxxtaYmlU_OL zFBiM$Z?Uqk!Bg^!ch%jkZoai*>PP02HdCUQkIX#5w>6?JO1y4zMO$o_yjCjbhnL%B zBwS2({gOK#p19uI^rp?*TyG9xjycMXE;aWTS=XNz$n!`KIeX2#Jw?0v`@`ci7|&mq zdo}a8nfa~tdbcIc^Go+hxY!ltf6i48KYt@;Cf70PKbJn~a@CyCUs$uL#CDqZ2kpD% zFBSP%W)}lG=B7_owfm3sq?bH!J1O(keg?a(wB_#_$1e8c$Ae>Mb`)jt7*Esi^jYuI(uYNt#jI4i;YjrwixxDyVjB)dtted zPR@NnZ?Wo$D@@qmOuj0;Yg#nJtGUrnKeoMf_XxVsvE|v+H-#FnolAE&J?6Od{_&%3 zmkoDb6-p{w1n$~9wlSqAmGeS2}I@En!idi_YE4 zbF-{Ho^d{x`#0EY+$cmnL}}33UJ4y6@em2h8rAdG${&a#WWJ&Yd6k z_5GrIq3=DoCotUK?Wnfse8S#KCHwpfuk_DM@0d7s^}U5o{O$60X8kxG7B^Sy<~m1z zxdw;4o((E7;$_QL+qrJZc+jE`?f3fULFyUU&aEa9|X=hQD8BW`-o89eR2iEF|!%^w(OE z=H#U-_Y2;+THF6go`Z*f@t11X%IBHk?^ku4{_`=#vng##qrFf5ydEv~{R#a-@uS(Tcf$eHN(Fs3>GI5T^md&;qhAI;mhUu?dTv`OKj zef-+3%ayd^EN2VpK9r2RuX^7*F8ISu)9AALn9c9_*ee$|PF%conhNWUWf#8v=nv}= z=P$6G`8P9YUi!c0nNhw>=bSHp<hrfX=M#IhastEX$s(!TKG#-zRsd*#o&w+el~uhq*f zTb9Uh;?~41@zOdUHm3{7-?1q5)ZpJaH&W@`-Tv*bHN?BmA1GY;veZ99qB^$mj@s6j z+vZ%UnD|G)F?!lsk0QMchn-3)*itCq}4kI`-758_y2taw(~WUi8? zX?{r_%U5%e*FW-tZm#TZ-kEcOn`OG!_F1}hb9Tk-i4Xl4CCvCk)<VWNHpB_uxQmx(fM)z;d zk39!Yczo{@Rx&m_AZjm>x_**b?}Eq=aToFzEY{eZU%kek{bv3AxothSk6Ly|vu{8A z|Ij+sM!9((;NQX^C#}uIMwm%?Ig{xLwry7MQ-z7c4ga)zKfF%ypm;)(Q5Fp z_0jJ4e(AIL ztoE;E0xM!S1qf=X2G$-8H(^*)f9kIgce?DCMV~r_{Y(!n)(?^Rkd^Rty7lG_TUpay zRrcvD**0Nrr@if)HqU7m&q_4Q?zUI`)v}j89Hy>*;(FWJ=~*n!VbeF17X^GeyW;8O z9r1Uq0)_gzc?~ml%*%H_N_0;V__XTZw}oyx^83|S-;tchar#bt>B93n*DUBbkZ-l8 zv-I|I%7p1W7&o_lgEe*gRnzOLTUhtIB+vvg%})_<ae&^wW*^jjZyQ zo35*KjN8&`F!}cdzN}oe?3$nj6%nBt&kT52kLH9aEn?=tRTc3*zd3FP<`QR*=Ed3BSa&nOBG1 zyTrRVv*cHv$67=ASmpc&hx1jMFMg5gsL^3Oqpy(TB~^I6I2_}r&LCdvWF<7FIgH0Le;Z)oonTlmgGSs`lXD%J46?^ib}l+>hJ zS&78YYyLZ}X;++A<*|t~-Z{^{@~P8gkNAc)P8=qFMgsiP`n3C!j;J1w-We`ea<5f- zQPWiBRX@U5etw#Gl+p2EIB#~+*_is{cH+_B{GPEL`&{QR@%}8sBLP9{SwH)|)k&M? z>oDnj7yq3}E(_Sxw%avvBu@&xpcxyi&nj|5L22RrGjac3Re#kydhibWj~8NxPp*^P zy`x_F(eqa6TyZDqr)G;*KlL-RV2R(kad%Y9)UD6|Jea5btKs)6_4jNVGp?pf-9P=Q z^@z|bfp7_p84Vrjf=*ihD^%A$VQbodf^oZ`<`&=lE73<*85dZs3$72F#;TjsBh}k~ zjL}-Ob+gl?t77F5b+TuE>D_I5?in4sf4!nvQLoCX%dNk&@84;xp0io(cU06hFzy7J2hwtruc|%@1FierZe_L{O1*(a*=Dxyw5W=QVQY>Hhtc5QA6fMujla_$1K9HFllw1-!@S@tGV~eY<33G zyA#!`thD!fN$%pTOuU$pW~P6Ak$J7}uGbIuJohz!cwy;31)*8KS9Mo@2+{6{v1nQQ zB8h2N<>7v*mK)`jnx(IGi|0CTF;rco%U{nFs8jND&Al($irP0N7i8<4Yfk+>ea8m> zEX(QtogOK@+pj$LaIgBDpJl|$GkDcB;c=~qGHD;m8#nf~ebraR9wyKFkWZ+6thKbv-P+3#feQY<95XT`DERZ98F-cNV&EMHW{-_?0D=O8cl+VYSaJ1<_@bpAQF z?%LAq;@|qEi?Z&rXxDCdx8UwVrN1|R&A5K^&*y)M1=HL<`(IY7*s}fkq!7OE^QU~P z^f|s%itVe#Y|VNGA(?wu-uK~5Rz-9K z=UZ)5ULUH;(7SfFtLp01eI-AcgD%B$M)j2jw>gkktFu6HdhhZZ#oOEec3fJ~FRkxor6t4t ze^U5XgXgQnw|v*y#Nd#%NS!xtjsLm+l_fft=d4N&%g*W-yS!+|5#>y8(Al9Z@#>!{490XM*)6G5sy`wW;2@e9;vV^-;SxgUw!2H&xioK>mMrD zOep?y(zwILhx>n2(pAO;rkPK=qx6@4UE#6uf|(o-d*NSG(OBo69D_;RHj=_@!QmyR zcmp4_pUir6BXNJlfvLwfefra~Y0<)6wkOPFw=A!pmLTI@CKvJfrOfe(1qU`yIC|eL z=2*6kspbD2QLhCq-(GuWX~U_78&nU*um7UB=0;HRjG|N4t5&7ouyv|$D3z+NZBf_E z4r*EW>DzpVat`0kvz48vgnTrX*e|?J+@n}8Jbc5u`m*o4SA3Il*ET+SxUGKrt6%1d zTh6{r+GhJp=jYOrOE0t}-l!k^{O!Uy!fS`@#bEh7b`n2U)*&=?fH)Etra$T(?kuAMrd69@4P zmCi4a7Cb9DGsJ!4ZG(+HKQ8Whc>K`}hr+eFX7>dBIQL2SGtO34mwKFeqwAO!TXCIb z#;rpIF3FMGA09Y3f5Bym(ARP50ts1uTc=PTMcGl^#Onj1Nyu|hVTDj!2ZWDFu z4oy>A!qu`G#p(C{zN&r{)ztDxpk#W^t83SazVIq7<(RFUvG?E3BEh*yYBS1h z1%8GbS88qg$jSIrJoc{m;$K;NzJxNpop(RnL6Y0+_yMMGM%kZr%ib2v_>$8v;Vqre zXWwUHcTQ@h+>CIiaMz9;LlLQ2C%#XqS1MSf($y$7i?(H>0kVp zw`S*q<9eJEBKOw`^QS(H-Z|toXFwy13n zYPi2tCDiSVQS(nX#iojeirDy_S;^kqvj09+bGctS?^JL&-BtCBu%*jGPuER6&&q}V zN^_nKp3b=S(QejTvo^NGUt%b_tp6(bXE%3c`m}9~Yi{qEI4M7mU)lQ2Z%&y2klL((SsRGPw3%IJS#(ZluC%{tNbDpQIMLp2}LjkH`1j<|*DQoEn!N zdUUg1U|}S~RW9pi>)+k^IPvrorsmj=zHi1UU*t}9r|=&!Uw=X-ZhpzTAHQAtlCJSvuVAk5tnSjMAHr|9x8Henb<^v^uMY2x zp6{IXyd%)G-)5W4&zOY2wrhKiujHA>K2bhS&pxjw+wZrElg_<3bM}I1DvaviN}Hx- zH5;{j+qCrdF5bOUW~^D1E2PrXR#F^uFLb-D+6l+cCs+#e^Y>)&2fT4v#87`oVXk0I zL19JThtu15+~l`?VywS-WZkiedXu}f#P+o7tMe$ApWUT5p)-za;rH{Q5t`*Mqokjo z_grdJ8T=_i>|H6l++v%C2j8;T*T0nzJ+<~>>mr_QkA(IuPX4@}FXYx{twx6W(t_+b zulItR-))XmoX>b!!~K)%S%Ir^OhgMY1d>``9D0F-*UKQ>EW}-;(q9EFulio-dQdE zU!`Jshc~NHoMzA_u3JHC?Yh?5R(vb|e6})f_P2tM<*WkJQvTnX{_=fxe+AD1+1D-` zk{c?vt@~wpd;Z&|j|S)W-Rn72`TyweCF;VK$9|t}cDnQ7%)hn9&reShx*l%1=zy-g zaQ}&uk^YGvWz`KbL#E8H)D`~PaW zJm*jMF1_RCTD`jHq+PqE`5`I2*}|@-+rqv&FlzohbVOFh&+3iLtnMAw^LG5^UK8}S zLMZS%Pm_69e*YSm#M=8}3#aw*U%bbsQg3{A+4_R^OVb3HH~tf-tW7u1lRxq4&C9h7 zdRDS}55hh#skr=a-SNyR>nmR@W`4P7;jtu}Ba_k>9kei&EZXKZUCSi5*ro69+^Qd` zu6^Ot*#lKRtXpwo$^@Z}la5bwJ~e$2_sunX&aS>S?e$sR<2}E3aGh4Uv(ja~ticPWgqkxwPla;RJS2I!R`V`9cOvh?^FNPG(;JQyPw3GhsZ{SY$dwZ2y%_n|aH)(p%Z81Qfk0^-l1JR%RSL zVrEyPxWYTVwrBYb*M#_UD&Ixcf3UWRy4mQoeEOC2XV>JPzn!%9XXZwOugcB7g`Yg< zYZm)1DoRcKp8Wi*K=S;mzUy-Do0+%E^&Z#ao@(pcI)yXYi}!-`Ii1ARrl)ESSE{ac z^~5iX{=MX_USomltsC=nlUVl1t_e;36dd?)8_R0e#n~^W@40(y>Het!nPw&n(~oHJ zGX6SLb9^=1yX`S&re9nvEH%Y(XZDWsvM=^;U~CeZ;vTawzEMKP`Ec;LQ_3#eXP)*x zUmhF#k-=-iV%~|de>2a%Y=4~>5p8V6r5_N#sKV-1v%_55AC5Ja4|`5tVq3kbohKzK zvV!;T_nWniCw}j$>wdhkv7aL%Bq^9p!S1!s8dL3xFN`1FKeTpnog`Au#>Z|{^C&aq zQgP|oj1S#c_4?MlUOg#ea$htzYmRNo*G&2O z{IBKuF1AblEk0NLrJ0YHZnS2~ zahqtTebL z>*|qovr|}ag{A(^(uz~p-W)6TFMQm-?^>n$Y3pOBC)oQh6m8y;%5;CqwBXk@bJlDs zYV*>+5&N9sPNVQd10#jP1@-+uKfb3L}@yO!ggy$-Lw$=FC-N5wZX4XD))R1IBq&+ql=T$rLSMM^EaJ)UE#Q^B;#Z7JAQ|9)}|9@BiYm!xwKV= z2YDL%Z8_p`VZU}>yr=cKTTw5vfASUSCbe%CkuO`m^W@47ztd-nRM}kk_9jnIyzV|( z;rF{w?jhZu-J;GZ34Ym}@@ZwA$Cdv2t2^f1UDo|w!nELViPye$9#V?4XU6|-Qk9y~ z;Pb@o?Bes&UTsXSR$486YunmL&b^lBzyD^9$mi&1xaN57@*%&o`jn@w|L?8$V99}Fnyf?P^3`h;{;oW>_FC+1#!HKrji%j3;a3Zio93q9O)|R3cjMHF%{@4Y65e-Gd=(z4ZYf8Ta5 z$!k)}(&*{4>kEo&9?!k(6!k1!VfJrR%?$-lk4%UXHdr0v*5hl3npJxjp^mXPo2be2DUuI{v$Q zg>u6SE~ft>JCb9JY_ccc)!g>amz#5|spEx-(*Jr`YD4Z+?)|o?hV!e0150p&Sbf%( zNLOCvdcI%k4ch-^%)b$*J^y1%0?)6U*dxmx$_JWEnfQ}Gt*d5^@GL#4;Nt5?pJ|25 z2wwfuaA}Uon@FzC&C}Z#z6mfpl0(Fc1jp--Fq!SK2PZU^O}dppW4NX_g%$i?Yx&bIeta`nOwiWj#er88`t8I+~Cr_&-$;>%3g1B)M&F4|Xh_-Ciwzr>p% z(oCEaH%65|n$*^mk=9tWP)tX=VAhwzvnO&_pAFnINhWiO;d62M6J8l!Zo6`UeJ?y>Sr+#mTy_jG9BcY9z_lvLY-`ltCzxT|GQoELO z|Nh0M{q<+0wD*MmWh!q2x2i-es#8quey|4ETyC?9KUH%ti&@LVe*NUn)DP|_kH2^2=WK|s z8k9lUd=e6Q?y-{1^W;ZguoTCGYiFg#+fMvj*8Fnc zd+}-f9ho}WXLs$iINm4eC9zaq@Uf6$`k|j+On9rd)_p4Y#<(v_?3Xt4wXd;TcB}pJ zPCGuqP_%r=^?Gz5h3)5~)Sb8jQS3J*)`)g9J?Yn0ybmaFT z{-YPa9e8k8G&Y07Gt$Vg>|FSY*64X(8Fv@5RL-#fH0wvz-_sq7jC5}Jc|Bj&m$YAa z*;OM2^QBIcCx`CQ`Mcq%hLP_2x3_|u=RSY#!yJ9Ta`xAGk7k|t6MG@;_udaNmzFJ_ zpuDes{)}0d8~fho?<&}8+_>`Gk{^kyitYuoUNn7iCi7h%ccq{<>+#tY@1heQ%&D61 zy4mLI^U3zRf_^r?oz%tZ-u>Y3(RYa+GtO@H|5B28wer}4ORo;MF4gF~&#lz2-(FFE zy45(f+1322%d_j<-(`LZPh0!cXD^q~u6yiU`%M0NwkXyw$$WO{{(Fk;@5#fajr=!yPS&mZ#NC~#e)0{w=Z+^AUhn&Mxo@tOfMQq3 zo{7siU*5SjC(Scgj`5Z4>Ypx=QN6l50;j&N&DdY_m}BFlQ+{`59J>9z#>_oWcyqo$ zr>5dM<$G#YG0TloPOWZ>lk{QgdAnrF1}}N9r?)>|*v|UGx6(>eOxHo{k*E43qf=A7 z)$7Ic>ecUiY5R0EWdE!@loEX>G9l^#&#yBa((V^uofm$h6!~Fh%<|IXGBbBpK78tT zCgA5R)6FN9#B2Mfg|iwh3Fg_|b+SsH#I1?C^T4|y_M9Z^(mk* zeX6R3j?}89YZn||_^NK*N))lQsfs0*)eyi)p^ z?Mh|O&5PkzCHy%B@aL4n=C#kcskT*uKWK~%Ynz=g5f>Nx@zs|; zR1x^=y`U*Ua>;zn69p;;FAVy^{%qLGEp%xXdgYl0^eifNajjJ9U zPtH_c_3y64trbC6`bAj29NKv$*ztkQyeV8t?sY7$K4=`evF}sdlKl6c{Bd11lS2!> ziT<1)8>p9fx_!rjCBD2)^-aH|R(9&}KWC0Oa`Uri%1sMnej|a{R4M--vSI9grb5L< zCI26Aoqw+R=VYFd>#O2^zXy}9nI|o{V8fjiSnY1`J1=f!$+?N^W)xnPj>^9h@L$W; z>vPwh4`)jYrROo+5`K2zdwTzN(~{Lu-V;B6?as0LsLSX5U*L(XSbqff>R4A@jrUwz zmSo(RqtCRqdc*C!>>o2a?4lNY*Dh^Y8e3A`sP@nBrwgmW?EJi(=b2gy-rua?cf9rf zQpWP1_c-{x^<{*Or<~-ps(P}b#czwVeb}FK-KS1^yPgfcoAO^^{f&+cuVYK=PV<@y z9W^@m%0FfM1(#_-KOzELMTITZm81gnls0%}d@@!3@Mg=c>1qoqE<811`Y!*eS436sRXO~bEbva!`Amh_>Sudaq&MpQ2sYv2 ztoo+NF1lAE^LK@M-i^zqqLF_z&OS5J%lu_x_+p~m*Ymxb<}#mLP{7%<@1{CqA7|M2 zQjUWyj@o>}j&lTbHb32}baT?Q1J8rs=e>90J)eBcYvnGN!=8!FN5mu6y+5Y*^-^?t zWjsq};ue$M?G+8$ya|8Ta-GwaxOC3E!Fcbw1>a9APo0-p7*$(jArzcHF*=_`$KPuE zWuJ4qCAaK7xo~s$&IfZP^%u!3I=-gS{KK3HrS59xpW8$Z>6`9I6kGR2`Q6d!!aQFe z=u8#f70OevXHR%lt?cFmllMZ0pY43OQTS7r`qN9^>4Lji^^X(=7{*QykiD{=%~y|G z@!*^nqIPmKFR-y*H_}l0Depc*>W)&AKo9-=aAG`M9-)kGB z6l%HZtG77m%ijL7|GlQc%4o-9$ybW=W!c*sxa%IL99}81qtfe!Xm;I!a6j!oL5~g} zH&vaIc}k{$u~_QK!QJ9+mfISYnsxg$eH&)670yw9aT{HTTEXcKKZ*3wMUOce%|mH9cs4=PiSRR9?1xDz|56S>>xg9+zjl zDScTadAqIl!$g0jB(C;%uC3>~Uo?uZ;q*|uv)Fajsg%np3*s3Z`h@!QU+JX?hGu%N z&VT=z`R3%!&$q1JWAx_d)Up)Uy_&I19DQ8X_roO9RF_t+lAmFIO6Nd)?!{S^)v5hI z7fm$c6byO)p*Zq9*Vh7OrIrvA(f7OAC)ze|k?`y0T2<@Z!@P_1c;-cv?h?Kn>=k#?Y}rov`8%Kd z$}Ol{b??|xwUE;$KaKC4sJxKjyJq(C2dPJ;c#kh%zQKU6D4uV>ZIA1rDbpu$YbUFV zU(UW6++ZmpTw(X-B_`M)BDthWG$nQ-VK?zMB1vpPF!W=a*rj>-J?3{tm?g&73-V zBkfLmqlDk-+}*ME<}&ML6Q=V%tNqM(P_#%+Y>m0wu@B813sQ9*K5jKybK$sE>vI$C zf5EBy-k7UDd9dmTOPO7^vB1kSQf`y z=d+Kh-Yxg)vJKZRvFCEHgg2S&JoM3MCg;WlPv$Lq_VMJ5S6a*ODZI!kIex_R+4nOg zQ~o~knc)<+=8l@sya`IBo>9yj_iwm(%YN6yhg(j5_u4+m-occ0%HR6=X)Q+g6!N}w z?3HeIjfjwU@#dd0PxsUWy*AbU6YO)J=pD4J5y_viA@R=^8GfOdd>-|;Ve&7{bdQzz zU76|oZJMls_Jg-4lAcabX)lmyuTcCNY3TbibI(nOb#o{0ob*BV4*%b|)+TIn4_Q0X z_E;#*d7)&b^fojnGx(9*7s23Q{x=0LwpRT6e=9RZG)gW$R{58yk?E@|$^NGbTh>{q zeK|crB6Yv|b;*p}spn>OB&>a$TwrX;A+TCTS7dsn3Cm5#x4QdnO)8?$aDKkZ7mrT*W#G)!eOPgUT|l0SDh%RiM3J^e*S?}vNl-52|>|GfE5Pk!$7 z|JR;=j}W{3$LIbH_Uj+#OulKIxa`_=cRxPc70tRE3`G=A=nL`5sq~0E>6#+3s?y|u z$HnI3>WYnT#HGF&c~_g)*gH9d-guny>zl~L(-Fo-THNfyCoiqpdV7_C-+~~{n)2-n zgiYi3zI3XZEO4r{;>F{Z7Qw0&$3>dkS1?D4*(`mt;DX4a-UnRQr}-QU-fGCH-n&6U zp3Qi&f5JMcOfA_*Zt4Bk7m0ijJg`#oxxx8=k-75~mToTm+g<6{zG>E40TcP_$65Vu zzA9dL(5~-9)TSxZ{5KR^?okf-n4W!W?xUq5lN_I4)c>)d<|xb8Gs3S#Io>DlvD-f3 z#*T-}j4vjh(@rgap17{8sa(k9b5QK;sm49;woUNse7E?w49BjV-Ii7lmwf+rNjD|# z@`B$|lfLrXxhpsOY+7=mA#a6$=K96%x^B^R6<^=!9`{QRSzrAvhwICnd2^+{&3pA_ zMX5!e#L-R4|7)+jdj8Gv``>Hb$y@(97izKUztc4Q{xRf-`*oha@Ly@~W|~KzxbJ5h ztGuXrlLWh9*VfKWvQK~4Jo#EC@}FHs`}KuS_9wd{{<}vCp8jwBVZ!9c^(F349{kwP zVN+6gHDX)t^4p3HzCvZo+c>-mCpM|3v@o_MvbNn+RJl5}>7V*Ty@`GsHamNGI=tTU z;o0WvvHz!iHr~Ix{rsM?N^=e0GB2QR&fbjmL1dN7kwMn!JII{sjW>!;qm z+aa|j&{k*BtDQa#%N)3j7|Z1kSZ8I-cp)Xyuwa6rPA`KC3!8!qvx9$zK!AgS!h%Ij zLVR8fvTx2RMnpGrJXq%K&Cu8PZ`<^3?(7d_-urXRw^;7L%U573<7dmneogM2V}tug zYq=er42%gJ+$$7IoEa8yYIFO%;^Mj>d&O0qp@QSVi&VueCcAjqS;G`fIvDc!80{KL zxGsGtWo0nvaSpz){%y^x-SeNYi7^;FXK4J`$?%LrZ_j=I4EBcN45s(5o_*(2o4~z7 z&7Hx{sK+~jA%Jm@oq5#@K92Wld*{h-(Z9~X_n);+R-?H_>M_GH-3kUng*9fg|Gn5R zbd$mDMfo$aW9AGK3WZ|$xQhSYh&{ER&xTuuRiR@xGl$^8+82J$c?=m!I4|?PIa&P1 zUEqxFkLg7P9FK2(xXGI$-eAL2nv=xw?!~k42Rr}2KK=GT+fTp!!h7BykUhWu#)0+U z!`UUC3T#{Vvx0;1U^$Od&+{d^9j`yUGnbz$;=|=^@L~EsW0qgu_RUp4YQ(m@v*$O~ z>+xWiD>#SSjv+59aHOei_UE?4AGNoPWuC{Y}58-~PD0=HB_@ALWn# zdf&SxJa_hK(~sF4A9kOV5zym$!*ZawSJYwa|7%ZfaQxeQdR@W)cAlFe`(FNhd+*10 z9{wdV^zE9_j<9+vvang5=ugOx!Om+7-cT8K#u&FPV;pUUO7Z1K)#?2=? zv1d2W508TR_uq0CR(xZROXK0*b@c1nvWkWM21XS#_)jN)jCyz2Jxgl!xg|?Kn@4{u z4*7hrfuoW8JY&)O^E^9}8onL>9y@J{#0}0nj~ScvOB*_#Ft;>xafvY={r}-(`X^(b zn*YlT6ci&@v|3C zT0fZjKS}(!w*J_E7Wo^BHU}Q=Ia2UHWy0SyPf146(9O~Q@~5}5u6nT7oFVqdo3ByRvVA=LT75uw=eMmz=WcM_+rPAES8b;My}TS<*|y|eU(P*vQPksb`-Irr z1nyrmIyc4F@%r46c3-z@AA|6(kC(RHy8gXC^OJtigzDMPERI}F|CI30;bfv%gWH4^@AfXPwOf7gc5%ViZ;EyhV5ca7!=d_3^s z%T9^c(!bJuN}oImOc%a?hw}+}89-eOVsk$I`2hzok|2 zM9=)3oZBNi;|hcQ5~IlnZ1Zm>e{Ae}_uHd&`t7%@jLUA%T6W8o;bkn(r@rd%+E;20 zy=(9L?lx6B?q<_LFMzKJg?sylDX(**2Is=!55ze^u%sIyC=$mJzHP5m@EA7 z+|Z4;ZWr*D9zseWP__B%HXtw-{Z_|D)tGN1M?C$uKt$r@z+N??bdI{ql5GB9n@$nzO55>a(NVo zeuk6fRi`=k-tTxC@@?JuR&VEojxM?ToloSxUq7{9-6+yCQszfudHSCz-LY}1MrNF* z4>I>x9eCDszQvpG`6n8M&24^oCrNrY&+Jtf z@2~Tgo0Xwjcq{qgzGSyop*;!@PVIRsIyawl*OIj-795J}RTpHt{p|{K-?9x?rRJ{h zD)L=cT#-CCc}J}M2ER>V9KEu)m&|UF{-pEx@y_V%pgyP2#OnWFxWAN5y1P<4@b7`R zpn1xzU+)!spY~t0cxPyCR`b6X0bdiv_I+{=u=RR-g~zvh=Y?lKw3a0pJ8j(+z`?ft z+O_Y-Mp_Tde%j>)c?rCcH0|GXGUkTm)w3llLkpIw3AJsj+rQ@Q8l9l>(vun|1p2P~ zn_10ymA8^x!9IP@(gGc|`}1S}6<_kHU1g&Gv|{Gv%>~sK9p6(nR`57}DmPT0`1zTS z{c5>nbIpc@g^Mk{lfFsje%hpb>PvWk2bNB1DnTL2> zj@^w?)8uOScyVQcS@0ZnV>-!*+=X`OV^5zAnCIsI5YxzX{+~ylA-<2g7-f#GC;9#ZIE&S!s zp4G<}U6~-fY4y(iMlT;NaGtYW(xmqK;h9OUoEs)MKU(v$VA9#xFWl=Ms_%Nc`klVZ zr#JS~|J1QwxF`7O-VLu!n}wuO)`iSFQqS~t!IQm}F;-@iesrq6K72y=Nc6RE?b@JA zI)Q6HaUZ$JeD}+O_frl|kbnDkQM&jZUB6xaJO7r5$ZSzKzW2A$xkgYNO*{C@Vsd#A_UH*PgNxi`#lJ+JQlqYs)}mKY=lAG>ipl)liITS`3m2uA-`=npX$WUaL=zf;Y%dD&yv9 zcgxe2M-KZqi>2PXka+7{#%sn}FM(16&!C&TFXRVYwc7Xk;o9vgi^_U;-V->S@08|$ z^Rw>O+;q(c<=u|6I*+}JRT3|lb#J-cp<-dK>zgm=zKLeNd+kU{#PVC7wk{0^7oS*c zB6s%U`sZx|YtByVeb*7bz&^1yc*`Nj+}MZ=_2$NfT@$SCUXfoU%gnM;mr;jpzR>z<@2fw?$35D+DtNU{;`i<5 z!bh*AdT%_&$6)v;^PudM(+gx)dVX^~vo=p4?ndR~xiZWL=6zcG$^YqnlaJ4>eZFt| zb>PLVcFqHu*3*{vR!Fxk3vsw|{=v zrIW7Jv8=tbPxvIy{DSfrrR=%$&$sfeWz21#;Qg_84Z9oT)3<4d)w$*;cYeDa>_2C= z_x^CjjcfeR+uwb<=lvnI5Sy)p~`dvZRh@(KAZep{%c@w3zkb`kaZjnW6pru?@_ zn|SY}Os;P9caE|uuG9}-m)c0K4Sn&!n@Lpu<=-0F^j-I&Y8r)f+)HysLPE6jzVhpQ z>iV_Ym?ffQ*_Y#g7tUM}%Jl1LlAVi@9e=(-*n8f!yVu$tIC4cOMPsp?rQ#hGQ=1Pr z+>47UlAAr!rY5bn`P3md*a~i|-qwhJ0 zGMOAQ)1dptr{dPf>_5Y5QkA|3Oybb~{yA%xM&^w2SK&>k+_sDR9rj3?*Oru8JU=(g z>Pv{Uk%g?=l6$AlT}<3;<+|?4N5=Wrlvw#SH`z~ruw&1qzY=oKW124UbG0_UdHpiy zVE)bna~I{O__n8=c<$3GEL<$}A>&!2e3w?!Q?&`pZy%r2*d4EfwE# zA2*}A+#AnLz8RL^Sason`%yuz1ZQ8jBWJlU{}OV2wpOZFv`Knh6Vv0ez+cm%%I3LV zd&exU7CuKQqsF$Ff$`OcJwj4;%d^i3ZkCd9-+99M?ateap1j?8D45^NdDX{T9qzF; ztG&YIb)Gg~+ET+lNxpR2lzms8-CpUh1ui4-ikZ-!QKFvZwWTw*8 zhLr9DY>BtK%$jVUDJOoC`Tlf@P>}1T!|_iloLm)hSr^x@TXDNBLH>Z|E5^BzeMzj` zTeiPmpjueS`Yv6kKUj>dTHso@QQY-#HG_nif8!T9i3?uyG!$CV^S|y?%8q8H6!CRs z52b$}S~^K3ez{QcI+182v*(s;{s*xHq|bi-V`;|6-+Om@tG`T|R<@T-JnmZW&fmYk zR@;4h#e6DVz-_aJ%iYs1-`kDkzS_m++pz;{V&1{XM0=>C)Mc7mSk+rvG@} z^Rws23+vO7KR2hT_VND8tw`_ch*XxAdr+BVUf+`Ov9jc*ZsCjeRF@61hELc6f_P>z z-&`xDcHibS-?tl2wV#`_bFWz$Eh!t9-?G5L>H3>9_UD2Xr?#97ET}0|Z>=|8xbM!I z?>i&>Hk5FA=)^XE`E*+C9DBfAy)8zT2W}dv82J3GGv_YmRO-19=k>6&di%PxnMdsx zoU^W*{MP&OiyYfOv0*_M!?v9-y&Aakk-BqjsMW00`5jmOijMLj^ zPYdUv>svNH-Wwt`%_?pA!g=$zIR+R#{{Q7{!#PV$C&OJU^&g&6d*BcvptxIpfyuG> zE9WMZ{*I6rKF9E;?1){}rTD@L{Y)GDjb7=i9^GU7Xl?Z)Ryo;&j@qAm8Ipf|{Il8J zM|;b}o0}#cxlpw@=u}hCjpH?6cE}Wch>X8vbMsYRl)Ge**g0mKV7{eu@1I%oW;a_y zd0ymW*N{h?Ez@7k+yD41Cr1MRE1g3oGkw#)End6(gYoAJa&rn*4_}E)@L5~ZpvL)m z-iEyToYt4>*Q6)*JPGvMv(#k5_JwzHcDHfvPktoVz4X=Em-nr!U$$+TscVctu(B`VV)b zS7daDMgI;t^w<06q+ApEmj}(ua_cq3A5|}n^<5%ctX&svkuU66W|7Wyzh!CNtQz_M zAA%+~t1VsFaqP|dvzeP#Pf{uS;`=rA+f`fUa7{J^g}aJR_B&KRS+x0}yYR&~kM=xE zK5+K?hD-CeUgH#wc{Ee%en}4BpTE<72uYkYJ#KqaRgqo&@v1*J9V9{zU45mwpDTUy zeDS>LUV?w`UF8+-u`z#G`Df3a8MaqrtX|15pH`MQl5V8@X5NOlOqqFW7U}-fakE*F z>GEpAiE52AJ*VeSv*=v9ah)@lf_#oTbAIlnkgHQZolQT>=Hd1};ZFZguDw#ci)KAv z7AbQ7nx;(PHUEZy1kEJ=`I+s11fygQf5^7rZK+5bPSHB0%_n!l#`=i7hhemni%75)Eu0^8x8M<#j2gmSPg44Ln1 z!qOS`cvDHHw$SbFZA+D$_=H|M{=8Mxotb`X-4bbUX^smfzS$ZXr@S+M6)pU<>{wD- z!o(M*+zCGUHrmxwH~kRE*57%1ubJ%q#L32orXN*%35=>c(zQN z|7i2QZ-=j~XSNS`9mDeeXq1=65qp7)jr&(VTy%A(@x@iAmuUU|%bj`p^-az%lXWKi z{P@;J;;Cut^@0y~7v=cJ$_RzuJ66}Mc!DEl-_j4EDYKY8dpd%@|Cz_9y2WMwio-8r z<-a}nc{U)>E@4-NU%;O>(@^g|lSi%n7H7@Mw5ISbPVRcir!0NgWL8O%i(ks-#d|yc zX@%IDT+zyne;U7hXVc1(`#-lVlZr4)TWY)X)0v0QlqbFyV4L`3X8Wr8+sA5(jHU>N zhX!4dUGVG6gyefK3)tmaYnBGDGidX_o32{C+xoMb{C_3e75x$GC6_FnD_L=9b=Lio z`_Dfj5D>QTWtf;jY0w=R9c*=3+)u*iy!mGo1S1ij-`I1w*`{RZ7>ceN4 zqe?#9GrcD0H#NCthTk^pkY{@LtB>`zEpu#I7}~ioFJYf|yrF8)mDwq~OSGd;f+!U>gDTFJYYCmeZDpni3` zO5hDa`PWC+U7Ieylc)1S=H-XAQ@{V5>E~U%ex28s`p|xOc$<7w<-G*5O z{a-IN-}(CU#mrgHd!~lkcWC&3OP$(gK1t!9Rfc_58M{qj(=htUiM+-tlW?7oWi*aKYkBhv_kj9w#DD(u6}+b=#c+>?Nir7-S7Dr z7BUy?&E6<{&nd{P)NP~cQ&TCc4xf3`PuEmk+;TEM?jd*3w5`GiB_mvx^91#z?P99t zpO^c2m-AZh+be^Us?+c0)n31EQuB6>eNN(JABXUwz0>9Q8dttrJndlF)Rf!W-+#$0 z`2Rg~El8`*dVCrQNd5kb3aAeuDl!x8J_Q0R%!5cY^ds=6$J$p2vENGuh z#M)_F71kB<-@m4NaL$8;ZZCS)u2|L>F)wcCRE9UTyQVHJt6H?)Rz`YNzTXp$uMhi{ z{^$Go;A-)^*pTig`|jL1v@JEv+tJ+P>WPQDb-r?U{A5+zow@IpMr8(THdn@5S^J0A z`vQCfMGYh0%#XCJpMUxP#*%{%);{|Axil^A$kBxoKeF{M*jlYz6Ovr4t^V$5!6gBi z^Z!ru=-qLicmL4lfcMOsBnzaTbK1O*wDj*=vq)}}=y}(5Oro`{(=V7;E&QHQdHect z0iW-pmM_y+RlJ(9O{w&kjk3nfWZRq0ZbxrL-Q-?S#PmM<^lm%D*&E#@6bxSh4ic~KI8V@K_}*Q_r4++4|67}C_tR&ZYd5(V z@37ERo;SrLz+2GLKWmNU4Uv*EbN4Jk$G7eoCT+7!!za)Ez4=Aqon^bd#WpbZ{pY;; zcFX=U(}1?v4*Tn75>+)vw;zeyGilP*uML+hbNUqjbAAjKzhhmo)2pF%>g$xZk-C9x zDmD);U0*I9_2f&{Q_H*8)grdP|7*;j#InZzP}cWnb6+S=P`NBSDR<3Bu0@-LMLzj1 zZ?1b3h4l_u+FNcK!RhGNNE^<64V7H+8D54^ML6*R}pnlNfKNWbW&I1>!SA zm#*J^e421!P=NP`CElAW1;t#;5APG-qi-#v$ZqU(fBCH#;g($jE;|`LcGW0(tF?XG zE9+TlE_O8f4`1nY4a*&O+3e&l8chxmnm^Pc&QrJBuw{zl4wY>E z&ogCW8x?%ir>N?bJ_^~ZC41Gg+E-5WX;xL%gTg1tq9QMT-U~Y?t}SiiS?0iY!jXB( z?sCc6i*FhJ8THw|zwkYydXaile$AHN?cV7g-&Y^;v0b=4bEn&J+38aDvlK6c`NnMy zUU+8HcWsS-k5`M|eDC+^{jAW$J@zkzB2GmpzA(6WoQvnzpZRvO8#A2G2R5$#RvWRb zVZY{)TYG)O&+CT;|C@1XdFH$Q9EVzDC1(ci>7AV8bG|oYsru9BK?;I}N?SjDd|~8c&v#D{unRqYO}cQ( zW|oOle@1!Ce3d(o;TfmlyW4x`w*_oF$zj?%sbPDg#1>`6J3nLBmgh;iI<`JjReOEq zmbFE#`nju7{ff%3{m&eKai=-*`<}ViV|(*Ta8T z^xhh9zlO21IOou^Pu(l>YlGAGKjc_;E$eOYI_}vrtX_3lFIYrYBnA5)KES&2kH@Up zn`E_juvUcDK3i@0YWwfQI{YijxYU=w$rToSc4a-+-?q*kn>Cd}t%)a1eQw`dU+ioD zPxHL<h(9wA)1P=5S8ES9HF!hg(nm`^IDDj3+-tUf#eaaFX}6roX|7W7iX= zWkm$qnTxIBzAfIpQT)hilZmJHsXI;o{wV0R=A>iAO_d+N%FQ!T`FA{^J$*)4iFn+x zfBN}t;R|?mf>*7a__)>7;-LVq=&=b)w;5bM#WI;AfA^D1mxPv7Cn_pTo2g_XGRwAJ zZthv}l?%_7SiW6#ByX;6#~P7sMjG3d1i$^h9hv9Gd8vP$@Pnq6f>(NrcduLJKGS(- z`PaF2DWXWUBY>7bwgB$=0KM<>IO?#p0q} z2VPyjvLfYG$A#n*nYZU1Q$BUEFJ}Mts>0)`aZfnkaA~XE;g(Gz8|p)vPbvy(etr#BVcZUY}99GIfUV68%U1g7ic^_4!)4t=-8*z>vu z$GK z^@&>3E#ivzI!Ic-z1V8F<>18+cbj-G?9j8(a&5DH`hiJh?cHpjR#)-w*7-W~6K1w9 zWhq-9^?1SmkgGF7(!I?d*k3W|h&gdPmiy$5Ee}#kY-5ikOTV3V$9wH=)&TL1qOKP? zVy>81YAMgz=Pd7*>^HZj(b14OST5wnk-f38u}v~1f5UV7k5;q&ytD7}gsEp1oiUSk ziEi&|+`7(Bg4vX^EWJ3jh2LGP(s{LN(hov9NZp6PGQ6ychr;=fFAVr#B`?81vB1V~&ZReA^)`;Lv=)1Nr-USYx_0P6#aZ?E6n7?jv5S8bG_LGf zW&Rp7Fgu1-94vOI>*Cd#hEE?la3tp7yI<( z{lBeIL8mO0Ui$w${_k?)tMf-M963BUaz<2ZM9$uy)q<<$^ZZj|_^_-x>t9Lpp$z$J zLhci0FN};an^2?tRAO3xT)p&l$$oe=*c|cozls(zNdaG^iX#)+~j}kaeIlF!LztOy;W*U zHMylser4qzPkOQHzG2FY>fQH#8BJh*{C-LHy@f6*CZdv`XI{Se)Z^Xr-AwMUysvE0 zeE#l5GuIc!BbTOK+wT`tbVEbrv-N|%BHo)o@?v5 zo6&2RWjl4#?KKAt>?0z(E{RQEH&elSgQL0J9)CZ-+4;*QWfrxSGJe_UXC(1K=C1V5 z*>ft7Uyf;U`6D2>ZD*ay?d=jG-Uh3u{0oRW>XVu`Y3=qe*1cI9ADwt)8GXFq<~}u6 zzd2h~zFV)`Aic@N=^JWRO!{wpbZ!5XE;9vV&#yaf%gtQ4_sy&v+1ZD#SYCc6UfwYA8+*^C?cXll@{owC zXbch9SO0_g$Hn#GzvgS`zxn^aae>U5|NdP!{vY?8KDl+`=l>Hv2VKs5lazJaZ(4BD zmaX?Px_ejkdYy}H-F-Do+BJ0Ry|mSF!l|$SUrL^T{r?|IHS>Xzf4 z4f_mDmz!umAA))uAI-1a>|6{91r3B{`Y&BG(+u*YD_J`UzbkG^pJZTUB~{&(&?=?~$rQs2CtYjE#=@#pMchu+_L@Ptjo zWb)4SJ3m? zkm29Zps{h=zCz|d?+w_#dGzKkxWD@>qa5>}iwWx2s|S@4u(l z{a~(%y;-;Yg2>jzzo$z}NbTRM>*wL){~%(@?KwB19E~#kX>zAo7~q}y~|fleardJ!94%l3a%{kKiS`3mi}M%$#kh|t4gX;{omQV|9rIf z-4!eft62ZvFaGCh5$PHGKOO$d>*ls@JLA`+tda_bBR4*T{l5S1O>0$7!H<8Ng#R`4 z)IFQsEH%43c<1-+-*%ap{tK!9XHz%d>)#h%kDS!}v^vAW$g{m$XaAla_tWveR!V7M z!T(A7UOT?Ot^eQR-&;ITKR;aC)gR$5pK96pB<7yP zoZa4$|Cns&o{P~ksTa$>>J)UE&wq*Bu5&D{Zwsv-vu&P}mXbSv#e&_(IA)!hc+&6g zgn&g8)k2Ikj|MOJf&8wtnijy+a)2EK}tz!-BqXQpIj^0eys|cb8KPWg7OxxoExRe zm!E`&q(97JZCluV<5*0$sI_{@`zhH~{Lb8JIc5<;^IdDxy?)14r_NaOt}c9gP^P-U zqR5P#$UouNIIrwxT%Y=*n{)b|2lJOCJkhv1bGdM*Yg~MxZJU>kG+o6{&w5h3}VfvyuaJ>->yPj>TOU& z>4)0iTW>6sH{QElq{hoT!R7O^Wy+uIxA|E-ieGVv`-98e+uQb-YS#n?p04|_dG_fw zVLg9J-g;czXL@p8`JUJH-p^M$6dpZuOZC~WpKX6@%meI?ZCSJ1m-~3U;ItK;Ss^Mi ziSt#to(3H?X_|Vk^y=OD`I{fe{|IrW9vkO^7N`*{^7QJ#%@f;`9=c-2aO@ zo}Z2P-k`20FTrzJ(ma0tJhQ^h(o?h6?9XXWdu>|q5;9kd2JRao?mz(v%YCnc95fFJWuw8^(kjd_}0ffYxgd3PCWS~%I-=>QfbPE z->J@1?|jkM*ZMMv_0W0?*R8zOq4(R5Kb|wYLThqLbMWTH|IdZ(*|tl4$@ayY=j&eW z5cjmmV0}Ds=f!nq_R3F-YyB=Niz%*YJ!DY1FIY3qc;k~jPei8ddbdjAChw*{uflV+ zq?i`)Ka#j`vN)_STx+Qd|DnrHhx1++<$#{R?~(>pWH34m-PSUK}vtBg32dMyK5#ylq{k)e`@1b9J7(AV2$4 zEuokVt~IKc+50qv&+5FEz9juM^wjl#PougyjAc@|4}VQEGgdp?qNWuY%JlWHz(fg| zS|Iwtjlc0y_~PI>p;u=Fe02P}f4jF#o ztZv`o71`9io;$fptEAE5>~5P$tEXnHopbH={FkjkjmswQta_iSpnR|S>w&x9_AlHl zba}>Ut3zME@x>iw<#My%Ys)OzqOo!Ik$7RBBX2(GS}bI*s9o(`qx-LUf(DO%q~W;* zAKqW$*_LVfWw-J3YaBPG6`R}Vl*~Wm%grwIIjQnt_BqdFHi?(#(&Cea6U6+@^yM0! z_PX5H{W(E7>e*?>d8VHaXKx8OA8)wWQ+f&Ct%oLZM(N+q-1=naI`?Dfyu&{xt<}%z zp1x)A@er|+69;ZR-10_A^}ye!iks{`BX=rXHs5>m{x0hnzvYZ7F=U^MS04qIvtjB!@={80^aI*nfO^8_%hC zfBbGd&-Y&bnkfWE89mo`wiF0R0-)E8mTP$z)Gh}v6>3_s zqvY{Buleo!ZkOJFdnnf2;a2TQgYE8#`)?JWw`jY2R4CCa_1KOV=F9h%dMf-5SyL)2 z`cD1yI|lm?JND;?{{2w*Vf&Sf+X_@?nW{=!P3np-zv1_M(me}?>fKGRdBU1sRa^+3 zCbdJOt0R)d_t2W3#*I#&Iv2-GTd4nV&3{$bU+VVLb6Y}|_O?9?J?g(G(Q@Zh!!(}Q zQ_}mqZe$AOe&(6mB)Vl8%l%z-yG&OUZ)A21i}W#1ZxOF9zcelVn}4pl!W`9r`yv5S z8<`IIPI#|_dZ%Y^QiC4=c!(4HnW3+-`7mO_^DW6VaQb96Mr9V;SF<$=nHU^X61e8UMX-T z&;E(ZL1%`b_Dk8VzrI>(U)wCmJG(8U*+R1ZRIu&xw?Vq~rD-8=nmJxR@%59U%XC2v?Y33VNjxOwnU$>&gO>8s>kepo{m$Ny(j6IdnNYe z?>pv;XBp@6Do0e9tF^MP3he*v%CcTMB4=I8^Q4`#=iRsvW&1HeL^}MmkbeJ?%Kru> zHu+JLEwAUlh+#aOkW=zmwriO)2j745UsqQ&KEHAM&aAa-yv)9DI^kZNpRE;nE3MIL zX1`^=iHSkgIv#V7d;<4@$vuMGx>nr^Nwrg@&UV(C4ZznxS1_{x>Kn-WO?zg z5|sM6KUj3~#A5>R2$}m*c z7zX{|by%4<`C^WIv)um%8Ihoq2cO@oecZQR$N1THsgkD43*%Z&2QG@R{B`}Xj61he z+3RcCS3089uhbpZih6wT$dtJr>&%@u^qT6Wifjn~Wg%1Vd^)5L~Ydtnaq!)4=K34 zQ4`YsGTThW;2c*npV}_3CsCE&ik7N^UmksJVtw-{Lx^SLQlUS2&MB#<7QOPCtrvL0 zW0SA)q4&b`Ht9ced-X&q`(Qr*&7RMbPFVN0XD^+%f>U*A&T5%TW5(zG-?wh9XG(ap zto7Smj=2wiXErG>GTO86!2fI0Ums5Tvh!2nuczzPkMvA?b$bf0<*F!G-F~HydcjFH z-!nxt0u+|KH9GkG^<2UI58tRS>zyg4_AA>&RQLMve5oTRd}7lV%~i>+eY$ej(Ot6h z57lQsT=r$**U}}ID-Rx-Abs^mQCfcopRM4bzTEUx`?Bm?_6EEu*8MY~%U4k_?$G^h zJ1;EhI<34Tc=J0kP@BB+kL-mDt3{tDle=wSX|>~+O4aMq7yCu8S?GcR4kEL-Ch>`JGXeU z?5vhGKkj`^ogDad>J{%i>8)?sRvX^<7?=KZk(R1If5+b(3H5i5*83lQn%j41;tBsE z`MBb9;yYgzE3STEGU@SugMK}|$6Yd?e)h?&@H!)Qkulyr>Ve^&dku=mKMF24{jGbv z!o)0HYR?`s>s*zIS1!tk9rAhlSc~&gN2ZZpLXO$9bBEttuy|1}*c?;XT0iSd?HJzRHWwDaHaO7XTgUjCT2%m6lv6*VX*T?+wGS0JRy3AU? z$aRO)v!)4i@)J$ZUCvj?Zj0eAjGGb}#Y+`uvpSL;B>DO=WqMZkRUa6`O9ZqyH2%Rr}3?bJ}YaqbXC{eb*#40u@-9g7B6Gtx^CWj zDDm?2XEBF|uVj>X)}46ih~6#R6kFVG-QD$7<$n98#hI_aNf|%rlp7Xy(>u&0 zH5AtGpJ^1=vZ$oVQLs@K zKb-W^*tSWyVbXHH;s?1BQ@X$QJ#p=t)0Q!9m#EA0iR|CZV!5UneExnS<=~y~?LD(j zALiVfyQfku{>+vGu`_yqnQnQySg%m=$8BL2>w{WlFI0{TII|_csL=T7RNf$XZRT3} z2OW!aPOnJ4IL9_8yJMQJX~K<~)rG!{vAkV#tWQq*f4G=6TY0DdRCR^L8j}uPEobPO zs~-ArNn_a&^@uY+E;T(ksK~*5*}B-jZ}HcCRd@Ac3sVoL)ozP2*g8r4xm~+owYsc> z)RN{Iks2j$za3oO_50uht6ejapD$U$wvFp$M*Z%IzI+YGr{6jIf9t9JEFe zQ`J>Emg~eV>oPFgKdCG7rUdu3!*g5DS2`Wq?Z!HH30La>q&45GI`+lSE@3r|c6vDJ zLBMSN`>%`n6NP2$Yv;a;ovh=o5oE-0Z~iOxVs3M_#W&4jqiqE~7;JdcWNZHL%_;eA zr>%CAr85?BZrF6{pVPXq_{44xjpphw&)3qy)%TLtc`Xs{D|;gSK5=e^ePF`Ry5?>D zCwH^HU%E`9{e6EyRg|sT5}*4WTdz&alRF?FbBJ(gi19RhbYD9j1sO76QbW7dq6{sSvM2>IJ)FZmi2|MK^m*PGjZ-r{MJ zQvY&JTHg0dv*xjDpBaM$LbcvFlr%}&nK=Z0Di77In;gfd`|Z{W>4W_L(&u24}Nor zIFjhKYwx!0d`@ghH$zW8UR&vyVV7|5&%7;+WsfbKy#6m#ar2buG7$Hk_22Nm(m|a) z8^zXIr?ub7O%qu;f5oKDZ+{xROMh^`@_k>SzL8bl^-G6rXZ?H3cWJ57Q(4yKi+Vpu zX!_T)KRyvOwchCc*?nD`yVf`)O8oSmmAFIxM6;J)z4Fzd=gB8@dSsdfS^Ok(Bo{iG z%9>P4@gQ(PsLyU6e58Uz2BnMDfIGQO0H2!>Q2KK)0x z^vdDI?4cV17jM2h|Jjz~?F!aKE*k^$rv((eTCB3o+iJq{?3~6K2Kh2+6;AiM#ceuS z|4qCjD0A3GGnTja@3nbb{_(!K%KO|~sIyB^-k@~PtdP*nZ&LM|udF%Ze>?r-)Sat* z9Q1j1oOqwGa+ZtGu1b}F_@^Cb-madM8I^0jQBbsxb&1fNAgi>emvV3UJiU}<7qD`! zZ`#UGqTw1nkzwdj6KSy~Droubt${32my2mp|YN zHFDle5~o=BPCT}s@?&#$eYuZC8o%sjfhH++LYcj2l1ssYmH)tc5%JL6k6fg>!ljQzzDx2Hj$S3fsu zF#K_H;q1+9Nol+S{Y_Eql`_BWx_2j>6!Q--51pyBKaPd9;obiJxp%CCE`^*rvpM2V zh}`!{nRnj4z5i*0^K9oV$sYaeDeEQ*#Icwz_1b#bW!^vb1&5YCh>hhq>m9|%tW@r% zdbc-XLe;S+zTGT`X4%g3%M8uFZWQiW5VsD5$|VhIAFE+ocyn8CpXQXu`27!!#6>7>F@a7KNqy$nl@LYd;S*j;~&H_ zFZt##UmC2Gc=M8RL)OB#^{#C5SM}d%xV7%}52I3-TYBw&FE;<=RI!;cN%8K2trlml z1*h!dl*&%?oF ztCQya$x2=_Q(?8>lBESdwb`!~hyC8V2MMxVem;j|)Yvwh))iJ!yzQ~~-#y&|)dJb| zQ^G%OI{WO#r%UH&PP@EYcWv<_zHZlyfS=}8YW50`z3;1W-FhXfc&+HOwS>z8J6on{ zT_>kruKV@VXUh%YZPtUd2f;5>N=NwsXVbiih7m1IjuME$ua=K!Z@cgOQq~0lldO{bPpZqb`;CNvr?r#=%roAB~>#zHTntj`BUfvGUx_mCF z|6ggE=%wv#Vh_7ses9RRv^ZvW>1el z_1f~m2?rj9+PLi%j@NZ1)l8qXp2!oK7e7_Af9kJ?w-$d7ck|^A$Vy0#Q*z%UWY%oC zSWYT=?qhxayHlj+n#trJYE@qoC$i%gUzl2?!oAmltM2H>zB;qDeS^gcxAzOJ7^>z+ z=Co}$I(1D=w8tu>qW!Tz?xAP;h31pz&tLd!{_~l3E$6mv?s`}yMAW_mU^ z&+Ot%*xS^)ZrAjZ+5109-u96)vO^+97#3CBEaqA&JD?lLymm`~Otzy}we! zJ1_0Jq1!hyy{;^F z&MxYLzw#O8dVyw%&X5T&!`AJd9dyjR=2Gf^s|wxNC;Yy8cXZqp%}>8ubd~j?=&f}Z z`c&L4^d1H<%U$-{o%!r^)9J4_ZITuw=Oq{CKX?EB^ILik$DGuFZ-)KB0go?FW_LAt zEWxgj_`YrX)>{pywfi<*J{FsrB>Pu$W9a!Q8sTx5r^s~GJ_^4T(SE4mh)MX#xkWbu zb}sT3+UB6dyNEMMv1TKyT#VpT1MV8_tX&cBR@X$_kuTfzbJuB$2Xj78s{gX?W|GP~ z_h!AtnyTR+`pZwQox5K!yS%4Zckk1#72KhV`TrgKbMckp;yL%?=CCICzI7B9EnND{ zbXj1)aoZOzr{-*z3Dpg>W4`8>`!`_!yQHd#%VSSmH_vnAJan$IMa}q{@7bEdOKrkS zvsIllZ@0&H?>B1S!0M=3^*efoVBHQj`{{0`&Wkop-W#&;vr>l3k9zT4kB_h3egATP z;4gvvzbuU&P3 z|81DG!v6UAor`SdOxar=eD?EG!7L%|{c|oKja6sO4>oN7bp1e`#xyk#@r88@k2Ze4 z=^3+^dBVJ}rA<*|eQ_wuiZ@kEuS~Ug{mxiFSBQDkzmdOV>tC5Iv+vGU%Th`)7qdxoKIECC zRWV@#U)}j~)qT>@OfhGK+RUUA8d%=DG2L;kvC@pST(WXw)AyqjliqmfEn}}dy3?DzKUK*x zd4=h=>?0eeolB~0$$Ed|`or4yTaSNg$TP9ID)fNYdeUMy`+#=k`HmYcGcz8B6*hC5 z?1_H;dPew^Tr&aHhL4Z;Mg}Nu-_I72anUIPg)dkmZo}Nss07Prl85Z(^ow&+E&+$I)iPi9ZuupK2}pmo?MTc-orGZDCvM zPj_#=Z66udy@hA{W$l1}*48H;Fs{^dIVSjMuIl8cT?;Qwe5*R^q~YQ!j@4GnSZ5Xm zZ8**D$@=nArjdl>s{a@M?KyH`9ozS`1E$u@ndcVIZwNcGwOBt(iF3&`Wv7zWFOtRW zbyx3{)ZtMs5mdY=ah1heq(v$nh0g2V zT=n38aQfVa4@;C@-h1$Pal>uJslk#rYZl9QR36)t{J1#(-7Rg2iY-mfGd@&gaGhCT zEhxihu6EPriz4smyKB}Sdl;A%E_!WJv8Nqhd1>fc*@yr3%=>_3=O8T&&eCcW~TG2zY6=d8LZETL%u_a>ZccI&A5kf`+eScHyp{&K|~vcG4{Q@C=_ z{Kc6YiOf$=28mf3{V=?daVt}TUo9q-ll6@3x47H8H?%eS&eGyTn(Srdw;aEs$w0|3A;?_dm6?$m$KRvrb!Qhd#aTm0@m` z(XqLAyWxvtHk0gktgnB(t7Y9jrt0kcPhM8hCfnLm=ULDC{kYMqLm$^zDmEoDR=P~P-QsymCiFAM)vB$}H199iS+r94;qj|KJRdjL4pPyE)kN7)oS-3@SzObGBR8OB{yrkx7zS&Wi=CWI_x#Ru7 zxrgUkS>yC@PdEcdys$KCt=btW%Lk)m4-aUd%qDWZpDY<6OiCUv0)?B1X^Szxf@I=5&e< zT|Biaqon`?1Dkv{e@2F687Z@9=mrh*H`&VJlvmF=C9*9reJUGarN<&>d%Q{ z(-)VYKIHLyVfN(%Z3REVk1cd?+t?|7c-AcS&3i5d-fQuA^)+|BrYod zKwwwm^UZk<3)Dp{Cg@z9m3e-?`7I00dD`>Zq`G4CH=T1bNzgDj@7UpI+kZ*$Mf$C` zb>cM(oYxo4@~P!+P;yms4-=C9UmhZDXWFg7fBDr(_SN4{{A=fy@bM7h`s46A%|}yd zL9Jq;($%R4r+nPHr7}*kv`0hX)Q20l?$+sEU;T4R#%oqq#na`_6&V|q&@3U;kh$=9>(rBGBHwas;K-IyJuo{_)Nd@px1Z8 zDx&W1<|@ihH0$!%b+-G}I>v|ZrYX3pv61Pr9L(+-SUxJ4{zyTZ1VTizn&#~zRmL8t9Hq{N!r}A;XM=o&RX3&|K9w$ zATWbt{dti??1huFf(0IAd|hhzdSd#DC6eE!EI9x3tf6+@Iqjtp3#)y??slgA@Y^n} zXL!}uzxSg=Cqtfi?u(NuubXbx?8+}YqLcsqqEGn7ZTHtM*?H)&et~h{?u~aG`)6)` zw2%2lK-JGKiRs%GWQHtcjWX&8J!DtjzcG|^W=z#n5f_suI4BH$Sc$Ei2sdaqdk^A77iRYgQ~ebG+W{+PzX;?dygW#wu%O?z?OL zS-_-Vag*gv@kLLz9OXT0=g#M$x#0ZGM|Nq|fBlwRJN_%7X#Lyki>F=63x1uYFqvuP zgpU*D+d`gAza1p!#qc@*-U0P%fycu9AM=O)=I76v?jmaNDov<{|L^zxElYnqI(5>D z?a{@F@gXO@We)9@u)H`eN$^H-+a#@X&N@ssmwu%gYccMNxG_UaP)_dh-y;$Sr%BAn zVpE+ZbnnaKO&7Yt4~n=1sJq-x<%zS@Zns9W1?)_fLFej5?j$yP-O@oF1)apmO4u31TS0)f*<^C-F%;gEfe`lu|vY!yV za_62wa00LWbM8j(O%dGc3Y)yMDojt@={h@Kbg$_R#cUUoN2<<`J-hWz$9!AB!~H~m zrs7JutNS9^XJ-~{&knYh3je?~)%L@gZ8lRy0vs18Oj$iWCVK|Q4Q0+Nx*p1TTBjJ> z6WuojeqFB{ed-Z!aF3X|?2@%JADuE?(P-E?MdoMzU)61&%{*8RF@+a+9FVW=_*-MQ zVOg#1-(ugt_jecmy|_QA{kG}6q%y%A`}rH}cPZ}b6OGgiQJ8l7C=VZ-;@2pTT^(IN zKjqBwdUv-WQZJlA^1%$NPKWvXuPV=canY!>{ATq(E~wkYhFg#{aki2Y14r}5Bj}?es6#BZ`F~>`!3Jx-+C{(ko(P2 z?h_l9c1Fv!$SyNHc}S;|W6GM#JTC;kIhw}nn{4~=E%1BU)|9{tQ#^ik-F+pi$u^~3 zK1*)C)9f18qoPyy-~IgR<>DQCTh}B8S{p?EkiU|DrfIgKh=$fihE2zI8*TbHUG?hY z^rr=lS6fB?ys4JwQ~Ruyuziu4p;h{lSC1E-|H1viSO3lW(B%F(TSAK`9bV_t7C!I+E(D_{kG7&A9LG!n*4Ws zig^(KAbnw5VZ}R3%QHP`8z#=RKA_pZS26L`!`TmSTOX*qoU-`9%EMokbT#MAeJtSD zYP5A_+`n1>&jp7rQTVuO^{Qz>m&MfkH~e<$n5}AhaH;mYlUF@&(tUE}>vWOl*4|c!XPjY(ULBM5>n`tsOs^a9EwQ)Wh>2e=?NnvA zxxc7p(~>fSvn`7cNAdm>U6u32mRy?N!(O=$%$BwRY zmuHq<`6>C-DRzb2s^;V?PqiMGA6aEvx?;+A_1b!uHQ(EL-t~H(f10h_E}UJe@M!v_ z>pNe4ygzx?iJVW1?;eVp>Gk2tqgT5kzU)5blC#G4zcBZ~n@Xulhksa`u4oThclN&4 z(uTw8s`iCm8%|F;chHvi|C1ljWz6{e^KI@03LUt2K*g`a)CX-jdaNTBizrpJuK|@+i7pRk7!?dGcDyRfM3{7$_O zH)nqI*=Bl{ZGz_9XA49gw?>@yU-_%z?HqBp*YdJKd@FOpCoPgaX7H|=&B83%KPYcW z`q_*irOvv1-P~_$m#>gM$h7zNjBReR=O*9N+J7-`g~CH8&-mklT`!V+wk9rppIxlg zUKb?&<@)ixVbddR$}40S{Rz4_|6EJ^g$;Ml1S*w3NnUlCyXM)+VrBjbe-r%M%L7`r z7(Z|pZ7Ww@)&F>D#?g4~y~Zw%e9=F*=?0`P`hWiT8?K_=x88nd*!O!!^psad4hOE> zxNjv|`=aIf((YebGMsx;y@fT!ylp>4iRyk;h!1)2o-*8M9q!B?)Kzdl=;SGvPp3jBDTT_0_cjl?LF3m}g zZb#^++=>tSsI8K7DCT6e(qb7S2XXVd#y3ajiXY}b)E?}Rakb>;o@D|b6;0auzn;)4 zd$gqZaOd+wyTz7EHy5le4?WrMBvHfiv)Ei^&D8w!lg>`@fBQ0Ls>-~nTNkTxseWUz zIjpvk$7vVm$K07cKR%vWeZ9o2U3rUPAJ7z z`IWU@w)XeGb%K8$m_~gUzpQkeQ`S!VTV>Ad10r2t-|@Um(kOlWd3RrreccXSRpCeJ^+b?xDbBkg4c zw|Bavma}Cjg%)nP*Xm!lF0t$7%T+J;zWi6wG_ikKe~!K9toe(BGj?dDxkuaE8+xtL zoG!2MY*yHzx|XKZx-*}CO}-*$b1(9MFWE193x=xp78#{JsPgZmfHT-ld8F)Zop+Tz9KHGjTt*|pRx+3HrW zINNKh&VYkT6`G5KIi9KYPWyAkbmO1YSn-2gr*&Un>TL;)8xPB*lbrb>1|m( zN1|$*QPPZ4rMnkuUwrIak^HFrt&^*~mhIae)BIk2zUeo0Vnsq!z1ZjdZSL13rOE+v?WA*_HD+=TikRN!w>15&QY!blhkDh&FHM%tN;c7bj-(i@>a8yfI z?90rB8x2=>)hBnvcF(FXiZ*WXSpPR;uJHNY3}4MoUo@}K-1$>XukDkV4BE_wcZ6ncPf?pm`){ao&vTa%kK)#r)a<}|kD zNT|FR`6%i0A0D;MtWs*ZyV%0KpD6745Umva?d?9R^$Z86PyEdJLG^do_q7W)r0RcK zC}47a@4Vy}vySyF@Lig?;e4g^Wd0+4uFCBVKc(2_`Mne_d-^<4YjTnJ=lx9w^!@Ko zS+&Ap2b=w*eX{;bS4ME1y>wJ@$L!M{x?WQ_8Jfjj*U41uTIBJLp$9dOsT z5N><*U_!u}oXV{~CDfCmRi<$6zJ2f5ntAbjGtK_2I*EwiD zUh*~Y9ABu8ez3=iM{Um;u?>%zO zfqzvY_8MA;7O{DL zzxfY?$AU|<(vJQ9WF7xMj{j5XWd6gYe1F*VTWd47Bo=hU)Cxy_HsCn9B0Xr{X3Z}j zv(Eh6ndHFAZ#;W>z|BQxGLA&2mw0`=Ha(<#)Bk{=ccFKWgsgQ}4UI{$S=dl>c2!*Y zI_W0gSG+%dC-HNfZ(RGYLTRPKQ2osVA)cUd&i`UnXGzv;EFUx!Qf2 zcUg5qf>wB}EaX4~h&W zFZei3UU}-D&h`r&f;@91^Xv! zU3eXJQX*t)g~F5YFJI?ot^4JF%H^}*#XEPKt7~s9->_BTD^FV|S0Y#UiybM&R$OiM zfjtbp#g%WAn+nV1^tSq2>{)JjCYqJ=L(J-}cYiPaf2elzn@eXk9q&KX?>$l*U{v;* zv-RcLn3Tv90ws6$ZV$2Ce){^_%Q^11lf`d^G`(?}{_KEk)a>i2rZ3iJ`?U5SzGMH= ztjuMDwO>NP`)~2>Q{NTNXb$4pX1=vKHacnJ#E%zPbsh%q$+wWqeermW!|l|t8o%ue z56zjLdRfdtrX)!9+^Am>PIqWO@IfD>(bUZ{ywB=l>etD&TJ@$SH~4*>XPb zn(vmgpP1TbaHY@r8l6!xMbPV$p1jbxD9Pg$Q;cR>tzPS}@zC9N9hHZ^itJx6?nrKQ zn6Yq5NLgQ7l<|w)7>V0Q=lPdUuBa`JC^X;xuQ2lOkKU}-IigFes{SA;{ceTuV*#GX8=L4P+CV|}F-<{^4KNMH6aI)n=zLwk9T{ilhxUfBYl9gy==%f#h zR_P71KFG&>*Zm>S9O=Ea&9yqLSn%?@sCx%`X880z|CW`I)h6rayq&@BY1UT{n_iE0 z72j1|heBRjC1hMYP`>iGNssRRxsu0qg8gN~v`)|by2Gt~W{M`e_7RIa5A@hIyw?i4 zm$9^Mi*%}6aJX*Xldheo-d=Kk$oV?0s-!o2yTD0*A(M~Y_lvT`Qa#dDoGhpQmTgt( z&A#&e`g6UvyADsvS9^N;?~WJi3f$)=PH`%fu1-i(Sn|8e*sk;bwQXe&7oX!uo_DG{ z-h12p_vI-H8#K+c?{wFgu)O@{u|(PUjeXd~Ra1WUTE^Ub(syZZi9prmB}*mNUnxj^ z&2`%1;i)Bcm&2Y3vESb$m$R)cy8Go1SH~snU;EjYR=iuHBfIdTy2Ra@o|i{*U&MUV zT6n>p|MAS}8zcnZ&pqa}bm7%Ho9xhw)mIz$DBM`V@YnN^VqE7@6NjqhH&<7*nd@(I zUKNpgsQ$0G_W3Mu3769TF-0`|5Gd z`qB@^HQJ@I8@>yz7ua&}#0M^WaZO|QFwO5<4ESGfcsjko)we(0WTvC!v6Uy)_Sn|; z7G!feD;-N`pYvZ+{K%SV5if1S#pkW}m+3#m5@Hu3m9Mp8;pSC-EGB-B=ASo8?0H+T zQZnv|2YXoE^XuWZ-k#gfKCZYuL$+u3d#g~# zcGNzspRkzme#4EWb1UkW^UEc&h{iC#Ge~!ko^bepVQvI3U)#w)39XF5m);sNWLMwZ z{i)shLI8WwKEZF>e&;HdS+EQLDqsu0v1ij6mGxo9oA)`2wIuxgoe-1TbE>&oc}8OG zed%j~f6d-)=oI<(c3R2*tE(2TIndudss1ki1omFzYTtiLzt5E7^w<@6YIVx%mIaZ? zv#(E_pqjYePsNEzJz~v?30D?H?O4t^Nuw}i-r9F+?;j*h>{zLGrb2#gx|@Vn%-V)e zo?FgT?PXB1%93xYT$?Ma5;U!zf0=~S)vZ4+EYtnC(q;X%9~~d$3#s4j0Pv<)`iXN{V~8E_&_#$+?c@dikC!M;XPlZYXYF(RAszvxSLM z-|U+_9!4$p`r4^xhdmPPOH5RkY1NtPzKpnb*tP1U%gHY71064~Ptm?8{lNI^Q8$Z| z4>mmUJF~!i7t62ZEiH?dc@+h+@p-S?dG?a|1J?}Sl(wAX*>>``1qBqeB&_NMUY6)F zpJ$)hDkH6={cUG>ctF78GIo!mZBL`Ts#f;?eiB(Q<$}Ouof%UVIDb~3PqN6L7$JQ3 zpyX1a8GDL(yz)~Dl^er-6Z?uRz284N{dgnq@%Iak%FuO*BrEGZd>we`FV-0d*{wplgVF!_Qx}CQ`zEwv9>YvUa;T%p6jo+8aLj!QnJfYi0`tl3Hve2 zXa!x-k9NlKj2rZhKDj7+ad0*}Jq^9&9l(n|5M#n3TiAJ$>Ba- z#luwYzlbfo)xOAG#{Xky{01Yn3HP7wKDciEkN2-mJXkOz{<7AZfIBVrtS_VvoPO3V z{`04n<;G0OsZU-_GI}TJIpxgn#oo2N;h{XG6Uv^hdCfRZ>{{HHC>o)4izQeQREU*S%Yjg8x~JZ$~!2+tKT= z)r2+gb1A3X0Hb%k8|XGaBWSfk;G}!xy|PuMkiNhic8#;jCj}aNNV05 zeLL2FTDjd%*UIS`eQN#h;IO@u&DLAnT7OfUq}T1W9!!eaoX(C{ufEW4UcLTk{e>mJ z^zJo&;NESP?VPq_nkQFi&6!I!(O$XR9=5((So*m<`)R1lLxHDT-#Z=6vMHacz+5$9 zyM9&rNB>9q@4OZ+Q=N2m(&Gh=0gYYvH}C86`n_)L7V)P3#}fCWIp@te^)x^IV_?)) zyN9}O%-)sPZe3MgA;fX{^=|8=jhCme(8+FIL!sEH9{27U(V)OfXFBs~#`B_hu`)Cz(?DQJFnzJ6^0jhN;qa&34uP5>Q zMS0rKWq&N-@>h4k{v$V}f@~tU?s;n4c1z&seSh;9%_-V9&%73?W7(5`>r>U1ue+C3 zpIEc=mtf6$wl7YSolHheA#1n4?d|_MO z!sjlher3qB?OS-`u>EoQpBEeU?`HV^=-@*BmSbGYn^KFfYwVto%J<7V=vdCJ_p@Uk zhVtCKvWxZqzuilwB-mZq9T|1<{!OuU$t)#5A9N?Ic)cmOj@bR|(NGQ~z^+*(lxCKI!|T zW&7UV-P&HDI_uhMyN_qJN&@nYK)-@21(N?|J8Hu31$jv3(Wu1W7}Qw#eki zj|6lN&YyCtM_MUt{u!5#lUq+`G5z_z<@Vf;rEfVZEwz%_EW;&i(@prIjkgzbrv`K# zzq7mNc3Rc-l-D!Vf;m{@91Lz<IB0Oy~|7Ijf1bk`^t2{6_O29cX^hUSobo0JA%hSs& zjVku~o66j_+VJXbp`FTgwL_L3?Qd*%$j%D5kuEE~geQLgbjf|^-EIGfU(02dl|CV; z5gosKJ41oB&(^Q|*R5N$c=8jzx&`73R?M3ux@reozFkPn@o49DBJy|V`!+g8uFU@b zV9umzCm!f;{p4_2M?bdahbY%o(d}|`8+XnSFJn5)Y@GD4QO5sJ@vb|Y`Rt-LoLso} zNkG8?)y1YR>qO*VUH;~KC|V|`_*so0PzkYwkmlxCbvO46oZU1)rkIE%C z7riw)-9hz!CXbYE#rwC0UfauE`QzxB$$|>9DTf|#7&e^}Em>Ri$vHK(_X$T)x$&6` zmgbtDtF*VgI2f_CT2x)V=!2Ha!$((Jq&m_}6l<@aoj9Lyzp4h`mq=fuAGyb(O{em> z);8JQZ;o4R{H4!nYximOd8dD^kg@usCpDAt{2ZkKj=Qa$Cz~E>UVd5sE^BkoqS+GP z8^jwW*n{l?Di?C49~USs^4N5AV%^t9iFrv*N@f90@6SFupXXta+1Y(F_T-1N_dXT6 z+5bMZDRNU!Zn9~L*+q_1%0>R~uIZ(I`LU&v?HtF~SK%+ZKYe$%`5PM0oicaXIvL4| zr|T>RUN?!udZekvAfnn4N!XwQXw;vc5b0vg8U5x1}d<_Gl@tOtaW) zGs*tS&Z(tZ+B^3D7hU%VR^$^>x=1C z@nQCV4^$n0zo%WHd1k|2-W9SZqLdq|Z>%d{H|2H#&s44xIZuC>AGi^&w)x8l`P(HV2trzslwQ{^^b2 z{SoLvuyacO1xWSl8f~D13y_&z-z6xO8%>N}dR3JLQMDUrwf`yFSi68j-CvSMa# z%K@de)4d%}_?^7`(YoC5@<*N5H7cFPB3Ej@EQ@$uUt_1b?&_osGwpLfy^da#_;FK> z+}jsx54Y$!^y+392^>7O#N@2Z?b==Qebt|@Nr=g03p^|L`)ir*DF?}dsh=&6Ov()xsSFlocW9AxqQj>?`kHqa%a@_<+?n) zq_8g~e6m;W)`S}Z1_j)j_m|~oO-a7c-?Ka0pef#5z`{IWx%Hz}%>S)a%BKk2V%(># zQ=G$aX#KrMPgTS-)NKBVxOiUSIl} z^T(%sX9-NZ6mfIq+`>r$TxGwLDyJ|Wdf&U^jp@HRj}AtDt2=4PJw58o6J3r?=K4Ng z-JVFCGPLEa_vkC8w|ony?_%zDqy?;c=()| z!tSN;`Y*dW%jM#z558Uo`~}v+k<7+MITq?HsSHc%eUz59{=fa>)9LWS70iu~?ta&- zYq}Tm(NS>jj8{(&WCpLbzxhBs^_TVSe}1zIWz!qCPkk=XAvM!Gw`Y3Jk)F;64UHQG zIo>I_$UdK3H+j|3RTqD%m+jjo`QWpwNz=VZk7?^qNyJ$&p5G|x^88fRb(_@>=yK@fZOgip6!6*6APM1$>e8jrbPP9GLToigV zR44qqc4|h!`$NBKBIDRE?>oTixL|AQlzSg_L0wIy|dx=dG`f6D|UY>4xi|_ zzFequ(oSVBIr*>Ba@YK4zMOHSVsE6Idzm}GyVsMbFNz_H&!1QG{MGEnv5d_jvv~X3 z*!c_P-uzbleR_xE8F_IAhCPAy!OJE_>N#w)V6c72UoFgjcT@j8r7O#iiAkCzFnje* zv3cv}*Sv+}8jrzh$$ge=9~TKm-OiWDx32!Y^7f7;wx-|a^WBuy*?sEU>&72~zVbl_ z=KGs26L4J>zwC?5#)G|ESFg%TsH=?LvE`vw^pt7tA=BTknyuwkK#2p z#;;vfxL0P~vt_HYRfB5;_dor|p~1CO!TXfUyk|ali?{sR9dK#Z2|Fv%H6ZJ>cs2DHz5k)vo5`8 z*|{-nj#{hd|4T_$xr@Xm|2i1JynL6{%)S*YJ_~B&6#Uj$)k}EaS}ebgah9v>zaMY; zR@NTplG>(z+EkIv>2&_1XEkrX?-scbX?pGG^(s44L*5QuT_azM9Wu?}pTVE@ zpe)JY%!)0?ReH~LSReUo@zP9aUphW)aYii%crtQD<&^+VwjF|q~i`VY-&(D7`=VX`Z z-NjRMx1ICjv^w@L@|S?-k{At*f1g}({~r*4A~#`1t5l&*YUOm#;TL=ho1IN_LQY=JJ>t&aSMVvZKlpt)L+XppnJ+DP_eQ*5;bdd% z?|-FQcB-+;gb4oIbMkns&#vp|*{=BJ(Bbo&+d{Nu+dg^dEi$^2`-LhTqV0j z+RHw?6Y}<&z5a?|_1iAHxHG9!4s89pWybVG=d7<5cUCT}@NM{+Wj%3W?eD4$kuhGj zG3ySVxPMT%;AIBqDy!Y1;_b7UTxKR$n}@C#cboED|foo)r|e*Zn>tV@JP&>Geul{dHSE<%k3;J zS9;HPSesV${Z(La;5wtPGbaC)yIv;yY^lD{j->J3 z%DrdbshwOUOMmMA|9&mWp^hO#=*Qk0Z3h(Qadmw@d1|A=CLxif2VCmT)u`G!rR2U` zy>C*(w;xjzC=>Ff9Z~p}D)&E!6`z6BWTgKb}U-sy{h>3*$+nJnx9(|^L|7Z{XOCHzhdizJMUKfz2Nu%z~2J4wlvaS)%Pt=&612<-@|jHn65L|FW&QVPR*K@rF*}= zn5q6)JEG)=&bxh^noNx9?ikeT#lBo{q1Q7aU`o)r+J~a?UpEBQ#X2rDJl*j4{V$HQ z>f1Kdo#FYY_3XL*W2PGo3%wpQF$6ENedDudU%{R0*XnD2v(znA^!X7Y>zbMR=^;~w zB)7Em;&1Qn{Ml2tuH*lgGp%_`)~46!c1*dZs_EEd(-c!2hQi! z$E3*o{1md^b25kfErXixcO&G_?Qdf>PVb!7xaDVy3hRVrir2f#^qKn3?EX+uynI)x z)zWT0>y~MgEYg&O7h5!>1US67I+f9iD-SzyA#inc}s;4S$9)9C@_A-Oo>q%Rft%~Ks&Ya9zdg{=Ng`%6+KJ0Dbm+26> zlbiCLP3fG7^%Su^TjzE&SD&AIx*?>-);cWf)0Hf?Q%6HWKmB%|;&ibABL_N-M>*E=X(Q|Xz-!6W+`|%|Ig*x57ne}Ix z0*mq{Ec>bKYpDCoxKx%+dUY%plSzc@|LUf{Zxl2ahS;p0W1ATMLZR)!j(dBQv_cmz zd#V;0d~bK7)A6}-v*gZlo9#HU=z8{z*%NoKTvsTms+0R!^K|v&HS4pA9vcYnd!_Ng zRI}Kn?UV7|JC~0Ouj61o>+HBx(r%e#M%W|4t7==-mnO-~Jasr>!`srC$3p6~4H6nx zvTofhBH9z;dLm?ok-C+u_+p(;ms&EddvaFtwe7zvU=r2-aQ2Q`LI1_9V!DU8d+QG? z|Cn+&`el%|*jj57@eQeIg={V!wf%|#?gvwu5HLxu-yTX|6y+UlIt>#Qao!`t89!*>G@?S`9^S-?E>+jCa zJ+9mmDX~dDA?^4Q4%^@Vs;0dDdi}^E-=?4+4$c3&n5{~Gww~SfYmP+G`%1e9XMCfb zodrMbZ9VWzhOgPYuz#vf$Vxlikn=X@ju~;Uetz`u>s|E%Ykj`0@_MZDf#X+m(mO7{ z{|(1($P36y&M1#iV3;m7O|rydEr({+^7)-C#9c=qEEpYwXgcRruo ze*c@z%Dw`VV^d}ceCSDZX*+42mOVc==V?H_-SWeq_x}yv;OX9XXXBJ&=BCP+ni+Gv zuWdJ|o7?%zljZKAoY^xDB|S4P6q4(n_O|loIR(~DlV&_z)4Jo_T1Hk2ljGUDXFWBZ z`8)CXszly}F`bdo@6X&hF2vlsYk@%XizB=blEc@fHa*|G;##ot`>y0^r7!%Rc5Igm z-zI8&Fzr$6O*X$rn|Jb<`j)2}UdeTLc$eNE9bhz7){)~z!Rl(8N?yC?ts>ga+-vW? zY8NU{`=TkEeQnd@_f}tD+%?lZXm(+G(6j#`dN-{6S8z>F+`<2f&7}E#WznA_=T9&0 zJ@MW4=+Db%H*_lRI(NWi=S|BmKi!45H`dLV`(F6vL*Fawr?I{;uRo}yBp+7@>v_|r@U9(>~rAf(rm6PtbG^LUU!)bJ*}=Ny8j^LN3!j_xs|5M9k);1^1X4; z+;#c)Ca$jqp=DD~NG^L4dR3^h_wb{Roc%l3w}kFHRe9x6j;PGTZ>v8n*%_ki}{5#v7lh@hKUo+MGgdt>vhY1kxf^#p_h-e&=*_om*X8XMT5qe5BXaZdgLAWKXh%|HR<$~tzjo;*3_Lb*dJCl z^ET7nB}|2piB;YIw`@#QiaOsRb7OnV6Pb(K&DIvJbC=b8@238Wf4j(wS28LOm^PLk zR*0XvYgS*v>zn6oB}~GsU;B45ZGM;aDgVBF$SpplA8H@t?%tF-zFMnaEpzF*1w46& z`X%0NUlqSdPi*g+sx&JR?p(c~ynT~4pSsU6wWWO#e-LxcbmO3!7`Fv2PNBXFrMQfq zdW48+*xXXnpFEM3b=$X)%<1}(E?!3jL=Vpv-Lc;3W~%qk6YTYO7VWzc{Iu+Vj={A% z^Vlo)-#>8VjBLinR|{CDH*}Smd(40G{E00457~D!e3(BU5VQBFsAJ|d5wz@1Jg@j^ z(}tEu{Jn23KVD^gqs~2Qov_oZRj0T8@Yrs^&VR+v*vfUMW#h@LJ7*7xY+YsT$>*=9 zxzkJSZr*{?y!YSoKTO{bI+gx6kL3HUwvy=I_apA%$?a$Q7#Qpm3cgz& z?t9o`mhd<1^D=XuRnhxr3s28IxPAK4g>ud}Ipd;ik~mugcgyhhZ1LK;Wa-=wj?uX< zFZMs{e)92F!kOv?<+d|hb|jQ~KD{E=y7WrAZ;I5>F9%;7=@DXI?_%b;Fh7N3lf)$ZoI3(tym?OLZbq7bktuYEJz0JkkBedF3mg3txmjyJqs?x|fl4t@&S0 z`w1Hzm4fC^Sr%lZxa^7f&Pb-r-WR!wo2zZUO*y*c2j>jk)W~aVa@a1&Cx>es3C}t8 z)2{V{O~mWw;FbponRREyDtEt~`jdhC=-Q(}ahGOiyuWZR@cg!`!kJT6mHj=OdC2|J z?(IJ{7h68vz2?Kgj=DLo{)l^cJI@im#wfUc;iOx)Tc6c&KgzePT<(!|Iq7lks?hzN z25tslnayjLRPNB3|G%$}|4_=x#cScS< z<&|{yidJ`|b&Kj@aX!Z7Z+a{LT$y5-$|3&J?U{D-%<_{7w<6B&n9aSmM|9x=&fkg) zGhRt09P9tc#yOjJ!iw$?#ww3p{%NthgxXzR>I?1JS~5F4n#kfHeamkNKozRiV9Ee#`Cz=<>N|=Or|}*YZ!FII&IXz;^LTE?ZWzm9JGT`xbS( z|K4uTLxJ7frEgk?gub3Gv`JzS-;KM~r^2SM=S}+Lx0i`gqp+IcdH5M&uf|7mshRY_yj573eZLqy+ba>lxi(ZZoVqXmoyuWti*^Z#8&O?%2P1 zDsiSi+s4&?u3$ZyeMmyfA%zY9(c}?ZN3-YUlIrcD==e1d~#jc+fck#Z? z`XbF#DQlgW{V%u+r){)lX;}6rqCoC)-|2$~!(GmOc`a<#Z;+GfchAR;>t#*rDu*lV z?-xH}?$9!`3jDj7M>3D~?Az$-P&MhUl2D%KTnqBWFBd626sVK_QXQ_iXX}FSNwZR( zJ}tZcbi&l`qo>;SHFwD8a^5ld$NX5R*--R~%0tV{b7%7Fd;|gl-Uu)}-B$bI@R#Sa z=LSsjTkln^zZUw5=gzVpvrp#*F8q~U(qfXf-QOdmwe4Xf&*AGOU%5<y z`^2A~^_vwB#xI_nTdMyiGS8vq&R3sRdiU<;ng^-pOb}`F6kg}?=$h`*dveX(TW9?6 z+}Dv5^W3MxB{J6al_z_T*~Ty1f}UK+k9InFJiczndj30G6*h9dy69`SP452 z*{r>7p6xGf_jOssx{vS9PjLUR;Fz>-j`MU|VM&`AoHv;!yLeT1_1rI5QSCX$>Dx=T zqzcEDWpi8BRM)&zcUtXYv4P#-WIOZxmGhIi|D3$)Ruy#3Tc%RH*(s1?3+L`aZnI*G zs*Q4srrdCGsy$%xT59f!t5dUNFFttw{VZR+fZ&8FCDnGzp6?7@Ze3E>sHn@jE_dFe zYd#rPpXQuer4d&5`_-Xi%-LSYCFj0$_}b@v)407}PBts*d~S(AVwzk+S*Goq`%cf+ zvi>|3I3ruaT*Thvm`iU~u#9;5?T=?|H^-#e7uw0_O|PCM^phh%Q@g%h!Yx^8RT{I+ zC^0XWn5; zBYzd;x`2HS)raHPMqX@7DUUVIzTUHYdaURS;S+gZHal}WKe@FfRwpCPs`~lV&t3QV zr`q&QnRLVU<-sTK?q$3F@;x{4`Xvp`pq8(DUUq-IXyDrLHPpS`v|ilnuZMzsXY73s z$B^azl49C*(yggc9S_5-IOe8Hzk8*WP`CKB*1IzTO(HEZU)Qo+-MDgQ#I3ClZi}=k zim0YvIK8aonGiHKD|L&lZXNO-!EEkN8{- zqW*ZKR{!+0d%ETMR=3rk)=ZtR(SP}0Wk|)_N=IXDlSz|&PcJYqa}rD3{^W(SyS|6t z%9zBMH5vUW%$niKlFuR!)LYE(h`bSFHvL6??R%lm-BQk?w+iH3dTZi0Ikr?!@u~Qp z-Jg_`GRyF^WWd{U^9TM%-x`XVJ#$+Z_1x{9^{nugYff2<@4lbbrP%T9;Iv6CN3t?H zHigVP_SaFYsrTVmtvTO!q^&9M*6*58=QrPU+aV@_%7Q%?6P~Pl{r$eR^LEYNCi%bF zkGUW72EPB0{$4})!OW-pA_xBQPWV0b#0LdaxiJ20t7X=HylqRr%O1M#x@8^zRH<_r8gCw_D)7vi)LisH=)-$2qZhM{Oe7**Rf|4~zgx!KUd_Io zEi0}`T%&sSOGVMwFCX%LIvslQS8_Ys4z2`wi_rfW6F12%ekpRLC_X5mpidP++_Mgi0 zFLHRMw4~q4F68A&^iZh-`@*z zoopViJn^hx!X+-P{YJYYJ?q~zx2LVCP1W8LT%_}I+2cLtzZUC1G;`gs!eRZJ4;Jg0 zihtpJTfmN7?d$JvXBpO5**!YxI`evA-M8H}A7?NIU+w1g z`Mhre2aEBWl}0N!Y|GtW^Z0i_!%Y4iNv-#o^(PnX4L6)6GxL@G+t*^ePb$~We6{;o z_2RE*1Vuy6-*{K`^YflcjWq`6F7-sL*C~7RB63C3r4%>6s9B;u=T=B0tLNs{-_euJ9i#!Z_az#s4bik=HTDSpA^K{Blb$PTu9@R*M+3>r^0fg?f4_V z?0N3=#WnTDmz`bTqwfjl)}0nRE>=E`k?&P}#blWk4$=jye#n2)d&!~u-5@($BT`|L zM)ltAa*5juHz{rU;TB-V-O5*e?q^5EO`H8?rH<~?CzN^?AD!EG>x;N$NUlVI@Jjtf z1#W+`WD8ToPpBT(j4xjOuJ*o~{^7`HAr%`ND(Bym`x=pMZW-MAueX&^mH+XyNh-4D zd%177oGY*^tf-SYy!#GU>6N_?=XgxFm96A8DmlYAce*A|-Xo1i-t1PnT?>;mPoJLK zW-81V7F)DZQjbCP?U$f$>CzKB)DJFGd*U7%ZBY6zyk~QbWs^w0q#?&tgP4kJX^-AZ z^A0OJO1btfwJJ_Z?B#v+Lrf;98Ho9FiDRGJ|<~A#A!OFnh}8+9eiv3+ zPGq_IOh?exXg9ZL!XNhB=4mzu%dJgci$rE6%ubbmo*6Ezklo8#7Is&!K5FL#mPMvg zYzsbKotbb^+UCT2u^T0U%bhl5%-IvVIN#xKs1sY4gc5Q=YxsqNl&bdz0F~%L^hM=H7g@HDmY6b(h-b zG|!697mE5b?}(wlxbj_7ZH7y)m#kd+LP*vBxc5ojuSQaDXImKlleu6Yelom&%9Fs{ zY2S>Gb5|ZeFH~fhs?2is&MT$pQ(^(_{_9R06iD3v-8fasboa@Y)7w9KO$^{J*zO<@ zk@fOZ^)lVpDeI?O)W*cE&?u9fwJK)+ug}W7bDqW=eK#X8w^^jm?y3LF84-W?-#ca0 zc98ef_miRz-HddyKlAR+Z`8`aSmm(p#M@W(@_SyM@C~^o8E4FRIV{=qaI#isbFx-T)3*h(Cl{}etJxKh`t_rR z%2O8>jeyrR_0BT4?oD+3-&vgIrXW3CGU&_BMvKZb`kG5-1x)8Zy}8Yw^T3oDAH+6H z=n{Vt{4wW-{lY^N0@lass8nuM&biHH-@LWQ^s&mcypwL?T=E(-R=z&K_dfGqlAf^7 zkt4zL7EWJtaPy8?Z$#4n?$Q-JIXAZNdsp=2Ht_`tpW?+Y2f4{c-shj^^utQbXtvB= zqn~`0O2+5QFZY#y{cOOo!>UX0=cjxBG%Pj={N-S_P37iHTED^Z;nnqtA(P+i+#LRR zuV<;fw%d!H^7H!61fB`re%wPuYPx-J!L=@H)>^l)W2%fBOWyS`mMSd9fn!tnLf^z)_7Og;OZ`0N zf4=Gvnh>$+EmJy|+~+5|-+I2Ex_!05OV_1mibYN?-}cRDsWRs=@t$D>Hg#ObLBqXa4OidZmo^OB9Xa{Q+uA?d{zE)^Op;nFN2Qk zoAcUk`QGy<`P{xv`5yE1-*QX6_7!{j_w7aKm+!q3fgJT&;Xw({on4|c_>C%e=s z&DiE|p5gmqfyiscM<@97Zf$(BY{T8S9eT?j2JN=yZ(UdYpk&3veg94x=}w;G7?AeM zz-IElmK?WVec(dmu(}y^bsT@Xo z)I@nP>hi+uC7H+`KqW`&%W~ARzs1?@Ijc! zx_M{WUd?IYWiah{{dc#}uEJxB4wUG1_Ax&;`sa7zUQJ{8stsSKo!@@u|ZP7C!NvmRq8ICsmn-|REKE1Za`sC!A z75WB$xKzUBg;M6J>u|~aweNo`vVNa$sNu5o(rEz`?QZ6{Y<-}cUcX|_o|uv^3xn#; z?on(lpUA%R&_N~MxMhyD+y|@X6_)oeI%VVWRhHL%c6uDgsW8E`U;n>F9x*YR_u#fY zW2u`O8*8A}&clnAy4J4v62-d9C-b6Yso0X6Cf}YhMRmlf$#-(ibv<~&zd@iXx>u`v zMG?oJBR+B!O@ZF~f9!ZH^J1H}Z(eEb@dFV#E2h8OdAY{<*4@>fs;~Aun9$m$ReSoK zWVl{NtAqCIx1J9_zVj=ME<5?S{L=Z&kEhk`-p%*GBGoNcN$rey{JE3i-+dNre7itE zdvj97or6~{DMWpnz~{lR?W03w+ajg(GpS}#Weq938ryXycqhM_vO31G_Iy$1$`y&$ zi@774OT_*@d8y)>qH;9R%Hvr5ji$Z!YHVj0wWn!T`86}FD(cg_c6R%mf(ZG$9S5GS zu|9gMzs5`Qeu#aru?^p}FE`Q}xaPVqf8}}o*5@O^Rqf6fh1MUL%JYoZ&hmGSSY6t& zO&gsS`W=oJ*m6#Ns!qh#pJ$X;PHNop`?2Y7$6B3}9~b;xyztwp7gYyBHD~F0ByGJi z_0KoI#d@x(=L09bCId@(p_uq(&k_ohTD*kO!<~i#}Y_Vm;Ia{ICT5~oZd8FX+&raq; zjQKH-uo>28{%#6dGVS=9y%%Msc%5Xj-Vv0&eEFA-zR50G%vZk7tkEmHcQr$2qfCRe zM8x%LXOGKUzv#Zr82V_=u}I;nl<3}Lz83$cc$K>x^Stz-P)bPXr;f$(%iJ3EO_%sj zvPR5R?a)}zH#hp)3YJ5??Dr%t*)2`D`F}#=6^W3g{FOIqgp7-SDn7Bwh|W4AvS{9c zMc<4rguh%F-Y8+bdv}GT)C66t2RmG5+89eHL_9)uf*qmu=9<0 zv2NDAHTP8lIM|pEZRwP#ID6~;YXzsS`aM>$nP1-=zrH7(TOwn!W7O~eH{2e-_-Dq- z&-v4@rgipQ&u7aOEiScR;P0#Ow%ffbefi<2-NvUhpS%)%dg$NA&0L=z{Yv0s3cp@GQNK~ z@2a7oF?Y-1h_~Ex{EmsqZa!wUG2-?0);}57`a-l9OVvB3pA2_gYxE@X@y&-Oy+7K& zP1EPmI5tWB$|atOpA2d=PDH;edc>%FSxP8Byg=7~xnk+2Zw2kA{#_5sNGlO_liQoB zmV70F&8JOWo?E&eqG-Ea`?l8RI&D+n{IqB565%qR z!UOCxOO0X@gj*`^HJ3gxmW>kk=s#3$e|>|fCezJ;Nt*n=f}yjMs$AN32PLrQpIE(y zSGOYVtewZ9C&xY9Z$3U#cU;|>?c&R%D}EVXH#>6_rLrEfB^+(~ZuUi2dvWI8JEg6% zuSLG-9evUKJU}7te#sH-wCaza?pW;!$z+l6^eB3|sW01-t0l5t<$(PD-=}0_l2jyi zFPxlKaQB6M;<{sfp7SSPyd1XnPQTZ^nuY6AS=TyF)5`A)pDTX9^|7yU=GT z&*Y2S?)VztT_olpGGWijK8d5JymTjRo9`K;AE2c3^Tsv*Mj54V zce(#qa_eeX3a_!|2}tL0{a3)yzforA_4-z)ml2-@=KQ>+@ln4ki*0)T?aSLb58P7R zv+2&-bq8Dot+z|qFlOy4(|mS=<-(izKePJWO`fgIdC#`2Zt3>oh~3Y3ES$7y0sGpo zV*V`k*XoYVQI`4p%g7~dKjVrF?JYjvqT)WkSywF)WU_kd-5;?YYU??+p89k|)&Jqm zlP}_4{;R0qR$}{6$T3NV-+av}5upi358h$={!g;6z$w%(zG`>9uX*OVx}@#vwEQyD zPbyjZ?fS5M%i`b`%h{ICC3Y#FcHZ`%mxt>q@8=lrr&W)p1X&oXe>>~ht?RjW+g$#i zMJb=^4%D1evR8cXaC+nU-yFsg-tVPCQyxuJ{B-Z3x3^?jK&V6)foy@5N=Ku8c9~{{9Z0byDj|tlB zA0BuATxk=^c!Kl06vy7PmQ54fCOb2$K3+PzF;gKuFXUy>ZOPiy^2P7iEfuXdZWije zyyejLTQ^koW8SIm&}RL5)pfg1eA#YQZVg6$E+dVGGfi$0d&~rs4ozC@^336{=B%yx zecBtPRX66vFbnQxId5`!?>W^%!yh~OBU+X@zYdF>6qOhBEQ9xv)dSt7XD=5Q-~Tb2 zHQr*@%=sG+m+Zgth2?hMr@QkQZ~mN|aU{`nSMOmLCxdgY`|gT!mfuqL2~T~qJll`Y zJ4Nz!U&w@isWa-?j+Oq6b>f@G)c&?cvZ})QbTl(}^^Tt$DmShETzJW-d~Tj;vUZg~ ztJC7iUy@B!7Y7B}RV^^ciV1d5*|28pnsFu}%2j&DrYSz|WkW3{$g`_k{5?k$Zd`x?57&r~Sl zI8(Fo#l*)Q z56ZllU$gu)HM&|+#t)Ig+ z_VSO3`e)879iB3K%4vzt_pcmtKJQqmz3t8>IsPP<=kEfK7_{BD$O~oFQDW*ySIXga zIGK9=q_CEg-)knmG2d}kiPMVgI8hUqAPOq-RG|8l*n;`{-{jM7p z_C(3n?o~g$v*hm)Pk*(>jR)g39jB?B`Lw=2VB6D0hKIXX9iDmW<*JPyk5{rO=cF0@ z%Ii3KQKf@p@!s&ZdbI=7xjMfy*S6UyUefJayu;qKx;po6)V5k)9_zHlcUG_*WRQ{7 zV^VS#4Vn9EnS|rtJ$}BnYFd}f_u|7+{_^|n?xQ^|T>61w*1x!_9zR+Ct;YY8bJM|Ytu(jalXUh>cQ~+nQ}dE4 z=l2^jQeLW>O>|zou=%=aU#Z#Zl*=D=DH(fuUT;}3;{=QQ!ZTVhzy^VQCtK0OC8nzYXnJ#N7VBB`wMC;n7 zNTV>zQ`NWS3vOMQnR+Z{+QK$pJ!uISAz#bKM%Pjni7)*6YJ=g|Ol23QXixRNS?tkf zv%0l!Ge4?5>~(tW6Q`w{?KJ%NsQq4gYhKX&&pnd4atnU7KB}CzVd=U?Dep7qral+> zHrew}pWo+(TYd))^7|Ea1l>)1aKbacq>@u^<%25q*bR>}q`Qr8ho1=y*15FKQnSgZAYl-tG-hc-ab&3?6b)E!C z{@$qF^yyQesxi}CBW}ar{6Qa1ANlO?=J?%eR+FpqqW`CMW(M=EV-MRt*}_}%XwPdE zg<_@}iNdFun}u3pJMXS4-LBfYWkRm6UBjxxv)Z=ocfRmG`=@owR^Wx9ed_&nEH7dm z7#@5HeE55Xww&`J_alZ+pMJmT@P2Xk=dawBn=%Y1_e~>N7?j#EbNP+VwVUF&)BfG#ioPv3dxvA# zfw6{0y?X&|N3X{ zadwi<%%`8X#=etWWV^S}A|pq;&SwMb`ZwaYk8cdp@1LzE&9p91BDi`wo7109Z+ES= zl>a$p#jEp9lhS?qx99CS{A5d3X6&T(r8y!$INPO~T`RVQCe2#;;iPfD-RBnjuKJiG z9v@OB_dI;2lOV9>-=5j~K5o@aZq@aQICCpwi=@wLyE#)IJN*i9{jsp_z!JA#k*-No z-+yJg7u7aQYkWO;8{dZ}Ony4!0&(kZnJ4>>LU4@Pi$+JDGk@636AV2aSXLdC`xbHYv; zZok^FIO&9^hJjeom0wDMDO=*(5Bo^p+I;jOPQXB$|KrzgnG-KX-R;n1qzuMhIwV16Ea_xb+LL$_x=lsnV%Ch4_F zmWb!F>VmUftIxj=|KRP`HQ8Z7{iDdP0fDzYlOr|D4_?-kb6fs=>(R3NT4&|mwG{s@`Q-P?$T-4ZEtoTz!515#Kux40bskyB{z8 z!qdRpQ2k)R`%=|#*^8EKPfu(SH1IAuVqb|Am{2VXX;hoMXIinMg&c8Qtm)XVeS z^=fTB@Y;O!Z4s49 z>{j&0uiVJWdCk`H*!lJ6@~eJl3Fx}0Z&1)X{Qmpd{H(JlV~((2kglDP1*?uqvO;JEPC^RxfCy3JFKrmtGER5773ZT*mH$z?boXX z|14*RA6$DmEj4^%bMdx~b;$y^Gxu-a`+fb2Ya-EeT&e=&cguMnG`%SwG2QLwLHl_# zv!gtCQk_&};))e`=l;K(CDgIfHoY;`xuv`HUBgs)@uPG2mOj2MCHv#`*LelfPVwtK zpJ)1Bus$5VrS*fV&N|WnTf1LmI zEpmc>z%ehQoBu2$pT2y(Q?>k6vtq-%UEy^eizIlWC;t9+?3J>_ii=tH&no8&>YFRv zcWZg`#OHeR1HoHn8e)Iu+U$8a!(Vs9+W)JS9pCJ2H8?f*^A^nyxjvf%AA~)(nzz(U zxuVX~cqQYZ$I0FAUd{Fv zDM&f!$NeH#_cB|;!vi^oI%H)^6IZy-t(m&L;KJ+E9gV3?hblSQ<}AD9&M5kJ9jm@! zb%{iG$1iK1<1BMGRZ4goT&ikcn6H!TU%|!l38=$%<3{lR)6k!E~O`2k1W=> zzQ|CCS2X^eywd80r57EKIL^@OV-GxY`Dm-<34QkY!g61Grs@Tqo~#i+(~|FfkD1-P zy1b6BQ@;1CsW|hF>9^}^7xl0RbCFB0Z$#Ab9n>rA`?F>bN6XWPEKPd%&q}L3Hj1`5 z7u~*~!_C`1mAmlN!|SPc<^0kTP9_~o*IC}X|I8l7y?;6tE3W}pYZ7__>Dv-=nHp^17%+Dx2?Z)PGvHiv_fxy)U z$~AX)oSnCUOIBU6|4Q0)t8Y7FZtb0O`B2r}*j2yR99_AA#nYh2XS?;>zsk=IoEi?; z&-9#-%^_bTUjCio*FClgDUo8XxECcHQa;f%_Fvf2n7Kxb2c0IaeXk-} zeP)_@%IR>8A0=)gx)WARu&℘pnsQ&Cw6`O;@fBxxsX2yZof0x1}3iZ(g+e<>XQy zE2AGDz6tzZH*x9>LANQZ%&*=!emUPo45*c4AUv z^ud+xlM7zuO{ko9>=wIcX6+TDV$%%=i;7K`b|n~uw>*9L^WDqS{0}DeoH^>XZtwl` z>t(nmC$+u!{G&7ZeDB$()?!vEUmI@tU%jvM*LQ6k*YD4pBPPz|>h?aLX|v&HVW(uq zTTACX3?J2YF`XB_%>4gIUHpQW60@rFq2FK6o_woTt$NLybL9`slRlhyxy`cSWNjAL zgvZA>9(r-%$SGql*Oi{_7v|2G=+fa8BQf(?8%OcK2kmmR%zVu@_k2iYXI^#nz?KUi z|FVheZdF_u`b((Ta#8yWvF#pi4BOlt($rVlc$}>;@1IiDP?8-#rOP0DiN|X1_v@x6 zb9VB_ZOjP@{rYvv>DS+qJym4_zZ7ua%r_K#IDe8fxADb4Klo3bPG70MD^&1fX{glB zvRxlpf|h2R)J`j16JxgL^>SJBBT~^4D%(rWNWb_|BXc2e%7O2j62)}RZ|r2QIHM}M zw7kapg8%jtAK3p2>oV-qeO;hBt62P?>ZS>16OPJAORfw3JURBWkXTaO(v}JXk2#Ik z?e!Oz?%(D0{m@$0$!1$VlrFWLoOkqA*-^7#k%?`4xXwDy-Bo)d;Non_%C>#y)`ivH z@3B1ky7lrNt5lIs0(R3ES>K$$>uGExOp7oC=6}ftZoA`^fr@8EvpMGEQ=PP%?3BBQ2k43V$ z^47hN(QEG6%%k{c{cD-JK8;=1HE!iRQ`W3u^dwVy?Z+dMc>< z+}$Uc7K|;izuoQxm`!v%eE+Qe!Ra9tv9^;JewlXX(7ku7q$9F6oaK8ExcpObQpkzV zWk&pEI|XA874_XVDSN$Bva?KRX0nfrk(&yuj?+}H>OFkLDev?y-hFtZDkd+n^^vmQ zRHGBmH~zih@GWv>$c(p#>`pJgsNegO`NHzG@!KCV9B4jS;-gfYf2rN{-MZxEErGi( zFSl$td)8rlJHvdpauM$e-TsEAnVw>)hf>t7g+5&Le$0|If0wlc+ZE=#rd^wje)_1K z=bM~Xx^U6Ty=)GVR;JG$W$wIt=f{#A%{H|rIdOA7ojJ3RS4)|N|H!#4OLN~fOD&4~ z#C<}|yn2MKu8M9vVX(L^z2!CAgD1utGZc>q1-$=I5yZt)IkRFyhK2jvSA630jwBzI z-LEwLV8`w5E6E#JN=-NMS2x)9PP&jeciY~Nx)L(kU!pRXo_ZYh_*kCprI;g=4)4xB z8ntm&tydM>&i}VAy1d(B!TLgwv+cn)opd4x-)_arh+a-+) z^DJ+sdb4k1P+VT385p7^#eIJB?#ByNUFA)WO~2^2-mOVBE^~_E(J$L=o~N&CkJcCA zl2w_-pYuxfUHJ%?^muJJ@7q9Xp8Qfq<1O5 z8NGa_g&kFy^`z=UtH&0;h3-7kUox!~p6!bJt$EqYsm$wRSfBo(&uh#UuDkrWij_lB z_`tKikL&G9bFO)&c}i~0Pq|U>xwQNP@8{Iu+Cxj8nRa~P63Y9@wWOq=rZ~7p;^q2g zHY261y?P1I7rYBsS^3TojOBP$fm50YO z)TabVWt27EZMT(SsnW`p7LE+QC38pS?Y_jf;s0NK`y9|Ud+(9MMD2i;`uV$rx~hj^X5*`&8ok@zF|pQz%u)l8vf5_1b;iL?)WDp z_1slfp(g$PYwlSUe|Ido!S#hF?ALWpc5Rl~&-TiMu0O2GR4%cP!+n84rmT@ATiy8` zW{vZ!I&8#O6!+Qfm}79bEA85*oT?Y=xs|=MCNY-IpRL}Od2VK3l^*BC>1(2XxYSFi z+|29UTHtVpZ?UK4)C3LvkM|e5T)1Zc&MVNcX?k^KuKB_@9?P63{tkazytvraX?gnj3^XbnQvHa_Co%TX++uA@G?ZU4|wndgcRSU~9JD%{2 zFM?-diOYhrYb{E9=T5z#<+4NTZq#~HBk2-dm%Xd!*~I^Ijhnct$>{TkYqNhas5rT4 zJDhoTTGVUKkppRN8hgZ|T#N7h?X&K@Z_RvXzmcDT$=i7rub(kaEOGt*&aUQ5x7?&E zfv2C@6Ljwfyt1FZ?DFOde{WwZaW#)tu8ESYEoODs)`-fisj}L&UwrOuYl}ylFB|^Z ztTOlId)BxAr+Z(TZek*177?&FKC6t^!qW4QMf!0)<;`r1tzK=qc2rEq^TBKN@Uy(f zr*#~S3(Jf7QPX%zsl(h#%0f|9a3{mEev6AK+)uAwdeJF)TB579jhX#X&xXZkCLMdi zKZ||Mr02iRC5Rk-zID?{WvecA>6P(8k(YXcRL#|ns`19QALV@eXJNbP!G;#y3yFQ* z4xQ7#A9j7Yxb83Kbv5&;*G1-5__1E$)R%DNIZ$__gMD(V{kFqp0cW=f_l5Lt?tV7c zr+>qG1a-Yq~!UE=M)6U(Icpz=d>zcPvigR(w9UE{z_L3U%HWpGIli6h!F3jueaFWukQS0pMn8vAjLLuXF zzW&>L{G63R(OM_0n(p)qPGs96YTlowvUZ1&^hBw9X z-)PU36Aw10YucU1Jb zv^d{5UGFm8;DzSxkcsY$7mn-B=@aP@2z8nCI+>d-)bh+S@niiKIcmDHuj}W{;%GW8 zu22@Ddaogs|B?Iy3ywY>)@()r@tOB$T5#;uNL{pwDU$2F5zk51AFs}z;@^K~BFmqQ zuD`ecPrknmokNp(clJ}~!tDA#v3-rt1Y0FltY5#7VXc*@_X+@Dt>U2X{JC)}@ zf8TaJHkq@0)xDHub@e7qk7E3n{FxDbdCIlB-S%@|CH2O=I5*>Al>5eqmmGFpKC35q zblIb23yt2s_Bzgb^w-8+i?Zj(?u^-S(8r?U!M5!E#FKP<$J9S=P|Dj;M`(!KI9TV?P z*HC0n_BvBOrPK1EmUCJ8{1*Oe*?YiQ2X|ckiZw;vp>a(USczeLKS8(e3 zy!q#5{!!mENnNwQg8cz|(Ph4q{1r(~b^Bi*4m>?YD*DjV9WgJ?sB3Kbl4-K~_7C=% zxBhr-JjAtY&apSnDX#-waH=eQ@3SGNI{w&`N%`r2m$Ur-5+-@WjQ7`<9V$Ypo9hJ~ zeKs{;`u_4`_Zm@OqupG!{cmf7J{iYk91P76`?f1dx%Jm3;nk@LyiA8wmDwe;-^|~1 zBiVy%z1kFQtXQffes1L1ptE6y)`l%Dw>w;ZrCIlwu*+zRoC$n-c52&`OX?@@ zKAEq&t}jXX$2IPYKC%j@lb=r%QL$SXzp_m9QNW|Qp(fnSI+AurTSeBqD+{S<`Y}7= z-NdBo-@%-9r++Im9($qrtSc>mE4Xo;P0H$o;!2s-6Ao5xx_GH&_naP`s_n~sW2=K( zZoes!uYDW%HD$iel<(_mql+F^CHquWZ=0pi+cI-Wi(P5D^hWNgzj=FaGZzbO+$R*j zv&}s0)4cr;_D(d?vsmwW!z|V5x>iT}qq9|Jbpo3+pB}x|SpWZor00)A4G(uU9(Cr5 zZ*P28ydd)Hb>`4X70>3bF)h<}=2BOWL=KC*+GI#3vvT_+Wb-R}L>D>v` zb^60}T*#8GiZ86!@1SsvYvgJ9Wi=7?6@lsO+dn+w{9OOy2Ih1@L|;*i@NnE z!`g$l-q`l~%t||rL)X^d*%4KjG^6{l)trgt+RL{qN#f)~3318Ma%Nn40%nFTd6C;k*F<@g4dLVm^GF{HkfgvjxW&olLU( zy!qIiXKRAG1FjjY3N5#6@;h36P;_w9fgd*Oio18Rxuw(fW7q zo~M>hlN9gVT+g%X?FV08mUkDTzA3KyGpX<9v1Ml6>(w8-&%fcp9_zszzbf16meS>u zfh^)}MpM*z1?TUY>7cpq{?>x)Usf#lx%23#=Y~6*pQIIRKP2FMHRAj8nKv(ed9JF) zAmQCR@#gB!A@vG|OfxED_t{~ea^N8sxx;!w22XL zi4dFFJmU}d(|y@&dmVM(h(3*M@iy)BX)8aK=Vc&2eQDmEbL~6KA~vZ%t(zzHsFl0) zgM~xIrFYYvJK9vcqP;r|&RE{bJ(}M3=*8@yNprqlp2M^Kg;1CL9oxNYZk{`GR_E}y zg)_SA^foLPnpYp&f2jEN;@5%c>M3*WO}gfs-_E01x%13Ym*<(`?N0tBi;7+wWE(y( zb$%99F33LZ&!yxd?*4`UGCOA-wJwm7T{^uWWySZGwi*?g$2>l(we|$>*?+%p&7K3^ z2YkDXyW@24?p)39Jzc0RdZB*#|7-kwA7riw9`9OsU4GjEE&sr|(mf)=mFi}J0@KX8 z91`l!Ehye5)K>gM)cO9ugMXGr+T}{VKXO80T8)LG3PZaZ<4L)`rWw51Zyw2r-+dyy zVrPJ^*`@E@&o%ccb3`)f-07BkzIZlgI%D+a!p1md#a#-0o4uNszVJwlwO`x$@YH^_ zlRe58O%9v$e$KhQakH#Qucgzs)mzjb`KMQR2W=0IXk)!Q=~39+|7mug7aRHhs_pmP zSuDA&rL*?E-ljP|kp~O@R`G0k9J2bY+0lso#f`GZr~cevU+!izGfvyu=KYyXf+tV6 za%ZHxo;X8_@7r&uA0jr}cSway7Pj__Ieh42hx0=#Z)Lxi{+-6_OBS_!Rcem=>n_3h zkV&|6$&;yKsZpLA^qOZLZEuu%o@KC=WqL99`p7-4sjsr0-?F>tUGwg_|GCHf(=JT- z)b@PhdFPGC*&L^tw?tO__)~WN%BfoU`Mvc)n?w}(`#M{WwQIR7oN(dU#^BSlMGoD$ zwXuoS%yCJ}-K~v5>u2v$nR>PP(6^?m=B*ti6&82Cv@W|)z0ujdQnT*ImA2=ueF|^Q zjaRgIyZIS)#dh({bCP`)`{#1a-u+LMOqVYA^Gsd;?P=Lw2G5U~o3B+=1h=P8|8Bl( zbCJ-UYrlNwU%XH!EBbv>`X6@aprYiL=L2C?_Wk?iktc|DWW&gQ)`3geC5BN4K~`IFFfS^`&&BD(hwb+*&hZ#_afMCzkg2dqAV@=GSr%m9QeqY^KDthBG@3tbjcUre^Z@j;H^1^ea0#Q?b>2U>R zWo-HBc=5xu&*8mx1?;&??=-&s)NqpTYk;R*_A{0o34igC`vlDq#zwQpR_Jzw)wwz45R#Wyff4lo;fl=ulqlbqp z4`;ToNUz*-IA)iqo2A9x`g8l$sy01Xlj$!e^v-YozPodFl&+Y`SsmcMRPOLf-a~1o z-7FftPd=Y$UHxFoN`XsylaBi&&6nWb&t^9-Dq3@WeJTIy5AwS*Wzq!K+`4e=$DgB1 z_rzOoS{u53j?wz=u5QNzR@)gIH#6ua{?_s;XKuHDDgCNy>#AbT?Jm|U8=L2Ui+6oJ z%PY-O=iizPrFkb@c(^?r+RyzqQc5wp*uQF35dYd7Q`4K@+6qEmTBpj+x>T4L+Z6DZ z@z;%oidUZQn6jynK|br|_X!Hu^#e;ke*3boe%d72`s&)UJy-TcHpp+OII}%#neEYo zTFXyvO8fq7Pj2$3>KW@7i3D$-ys-9n*A4Sc!GEqCaa-N#AoZox;7x|)rwc3VcwRhj zv)Wr zi>0d^)4Nlv?1HO)UEX#lCSYIaj+dc5KTGDndDr&zQYfQ^{TmN;m43m<-ZDRxt7~@r z%HFND$#=iX*T=t$GIITWTO_rO`|^))vA93;tiKz(?vutP*;^_T-TO_Z1_y;LS@u5o zU-5wl%O>*vxGgPqNLc1s^ljm$wMDC2x9@&^s`tlUokxEx_iPsY>}!y<(0}Qbt)eTA zwZD`R7fT5JsKOkuDPE%f=u2_ec|UjZC8`w4+$*X)Q+f2aQpKa4o7b?^hHkIFcXJ*4 zq=iPaKg9N0Hg8>!$GL6s-{;>Shq0Z~zbZY){cE~hnCtZ_DG7I-4PT!X?AVo>=UM80 zF>QuJiGRLfP2`6=U&D1PN>3!@%FpADtzCJu%x1ze9h>0V*`b$R`%juRP0M?;eBaFA zGleqe^JnBebbo6(FjNiSA~9Ae&%@G zVs`EeUE<#2Qyg+?-f;h_T+-DgC4cT%P+0Zk(q5M2naebeWcGyCi#RW!7IUbnxc#s6^8MUfQxDcGRg3v>K{hyQTi>Y=-O2tQ zSGKI%eK%I4{K}@FZPV6V6WH#lrnD_6PiMB3mfX7YtQ}e+U1BR&#g(pOn*9%30Uv>B&pM2lTbB$R0=D*TQ%z`pyRNVSkZhy)v?^U*b z*Ww>R6}t~rWQsZ2ci62x)oyKdebpVFcPC@5vsCo+J=NFE@tgHMY1`?|&vmECoRTz( z;kuRJwco95p+oY*;s?{t9jaWnDoLV%{X)ZhmsiCFum9Ju8CP6i^i8Mb`3s(PXLw?G z(siCUEq-;@xMKR0RR;=E&ah0LD*icr<;96p4UL$@>|C!UZ}_-Wb=}i->;aY67f7^; z=Xg)Mz9e#D+%EB1-1iR)v8kM#lRGnFg$LgoW8Uy|vB%qf{@%OqAxFP{_rBM=zW?;R zt$Sb2KzXmzvh@p7_i`HkTC?=^l|Mo$rSV%H$=PkXFt1$noS}N?z2(=!Oe@9Xyw{(+ zv(4aj^jpT1bcWEM@!Osyr~TdjlfO>gJy^Qh$k#1w+J3(l)vwv{a^lR{iWaahvIXV?LYm0)Ax9$|0*BuFTb&$<8{4Y-+!ey|6OnV z={EQy{_ur>VUZSAf{>y&anVdEMUsy^#oc#A;!h*&Be>9)s8T6``x>1plPVl-x)J(uAm z*5;wt*T5Fol=(bfTH5R1@(_hj<#sFVD(xCfYeVF zrp^pbk;;epcN*fR#m_G}+Hq-@gX)P(HC%NiRr`*nI@M(G`Tm&HQy7l%SU0#9M0!v@+~fCx*_nW&NgR`RLCCn;LAViDi_N;e|IQzH@^P$@rez~ zK3;#zV>`|3`tQ?oeHI1Sm1S!AF)HwDX=lbRKOQQ);+IQX*}WYL>pWs#LOTpR!ji6=1G^^_l6B zP%B$Zui@7REzhGLZ?hDf8=dMlCup&Sdi(cdB`*bXR(J&Z9+u&5ZCJIcc~`(@pTw2* z@+z;DLh{?3q~ctZGr6zyS_GG*}H6$#D>7rQg>GVm>$2?=yl+sTelXt9`>=A(eSk5-;KR?dp0q+ z^k*MmFK*?O;Pck>EU!@a@2UoE$vI*M_0O~9?oTwAlNOqnzxs-Raa7{Eb!7`Ci0|WN z;EwKB@m0FE`jw&fyW9r3c{`8f_msFV-*UF6>@?SnGknpizjfkLx2k_Heyilx^ic5l z?4oLJ!F^K;{z~RK_p{W35Jgf`_9(rc8c+qin>>*O+DVS`B&e> z)!*0?>!y{6oqV-N;o7!47bo0Xd~0pojo#3=6Zf9po!|HSqcg{i<8pk=os4})dDT-D z*>&u5WqhCiJG5<62EWM4DVLPCtu$Sx@F40;&%Kw~ogG))+DgUbcE4V{%vR;%hS#n& zY>dr{uJc#_C`q-^5pY|t+TXi5>vqxiibrQTcg22@;8eZamYrYRW;n-wZ?#ChS)*9} z>)SUvIr;MBkCbO}F8BGe==A>$zkaOey~U8T_s7S!_{pUrbKLibZ{)isc)oRSlxc0s zzMykQ1mbtN#0$&0NlL}<6JhUWJ+>v|S_8XEd`RD0q3CUYu34yBWzRf%o8k1lHtTA| zb#YuZAMUM4uS)6+23S_RBG1D(^=c|8y@8xexB`;<8Ym?)6@0_NkWg)NI z6X|BnPjin;up1=#u*jKfvIfkV(yDXzO!K5vv6OSA*ZF=;+Ms0qd5#a4wLwN4tGVnB z`xnk`tLt{zMyJ~*hBEz`@$>$@oSXlWUj$DzH)>lXy4lR6=;-wYhtm_%t~V_TH7GX! zHM?a|=)vm?j;9}4{=Zu@Kl$_Z6(`Pon$G!iziChIhyUkSf4aZb{)beI4^#b%e;c?t zHW_~UY|LqFwBfVyg^!y#H+(YY;{KnQn*8M8|9bI@ztYd7CN4Stf4^*Tr?9Gw($hND z@&nGd5A8Lqg)?Z^x8# z$7u$O^gUWOH*iyJ?c+I?NrGkr7q7IA6YWF0;J zCOv2NwwL=lBD+`p+|8QDx#EIV+`^I-ckGmktHWk2=5Mp@JXD@Fz4dRF{(tX6spdamU=JY)g{2ob#|eV%cy^ZuTslZ#TDV z3(V#ge<)Ri|Qk9R3StVPf6V^H0SaOla~uCMx^8eBlo@P4Ow!@_Tj5 z)EF}5cj~68J(!;NUL@pq$E@5fd%X37-#JR!7+cKVrBkh0wo`q9numiPPpe+hqqM57 zMdcdVt9GhYH0Q^kFcH5|An&nq{tVqWYYVIsw$|@F7U#XA%#LBt{>kyP?G0^TJj$Qd z^2nF(vHJ$mkDr%%^@?9x9LD=ohR5#mPxjY(`rnJ{e%W3AeJrwOONdak@SLt z@2+^ilSE7QEi{VDf`|C_L5(TDGDyl1d~<)4+S@{e*T zdur~PwZLx@>v6MpTUcErOxU($bgbBQ`B_l+g0qe$KH-O=AKqONr(++cFwxqq5Yb3 zljF0Jp3ROAD|+@fo;xD-rMzLrC(fJi?mkL(m=|57-~aZfndgTPZu!YZ`^Cdl-6aas z>=-3hESJ71_Dxk;V(0Qro3_qW7k_emAERkYvBtm8KZ^>kY%VYP`}!-_tM%Vm#njj| zl9Ci96IcA_5AbGY5n*6p;9xK;w{}oB?A<@}AOnNfKMn?A1{sE=(#)I`eYc`S=fq&A z#Jp_1f}GG0P6lS*wMzcpYnA*GU}|hl zEaL~UE$h~CdB*S+{CqzD_pTkk?f+;-9R2A$OXOqK{CA%hoLKbYztlgGCxJnK;uqWh zpZ@>xe}(GPZZKfixr{Xgx0(*I_B*j~>$`Kw)w`-}Nk-~WGI zuW0n?>DjYyKb8Ib6CChoe)FsT=J`$a?)Lv|`|Iva`@fI-Gt>Xi_W!kiKDiq^YqNdY z#aEwWe_q`0a`e3X?E3$?@@lR>AFn^DRrP1W#z}VX%I9DE^8Azei;Yh|?BLj5I77#N zTD_kAhvHq;_v&u7{S4Ne_UHF!gC+L&-1%SXMb*h|a#}e3*Y%vxf6wMGdb0TF>;Ffe zK8?SevpXp+R?ex;P5)!&f0@*$F6%dI=uDIUp?`hYoOMe#ODw45EDsE@ab>LB{$Jt=V`a<~aYjKKh9gTN_w-FJxZS$ukEmmTfGT5P z&Xkr&kvsW|r$2c5S6fI(wQ|E@Cb`W8)5YK4S7Mp&Ce?l8;ivzq#-F#_{;HXy#+&p% zjWg0{)4w$aQ{+MMFzUuGYPrVbb+&Wel`?v1+pO;yJlU!HiG%K{< zI+i^nnMGN^=tNzu*WHW0Ek@HWZA{5B?@w&vNf8xg%y+EZ^?A#pi=S4?zK=iqEa+^T zyCNf(sT5Z>&xdUn)SM(2zl<<4mCDh(Qn1T#*22&YQ(S-K-g&(Ah3ct$(_V<5b+=!$ z?}~<#)1ybs`C{@37vAjH(0TOt^Yf}}1Z1Yqw>S4cbf2MiL5+>0Ki%NBQ0R`6<}PQv_uOTB!LQgh zMNnY+2ana?~_IGCMqgMq33s9Sf&v5jAicAaKF5WvP3_ju)}$=~y{mpqO7 zow%X;|16dc1BR{clODO78LsmDJhyFSdGyl#Z&^$mvdwDkCzqEctUmW>!nvD%yk7!^ zdy`^<#7`^|{cZo}u5L!Q3d_Q~96HJ8cXZjhW*_LgGEwljSmJU{^KfsAV($kF&BU0` zT#((?HF3|+Yfd~z^(HB>8~06EdNEK`<759PzFTg(&D#Rg9dEDrQaSbatw^VD^R{JS2Nm5&Y>ZeQho zfAuxxO7lEJKNY@)i*JhV1+(nwTh1hPc5{}vXq_5&MeC_(t*P?^MUMstvR>pjk{MIl26psd-Z>Zw}AVz07k#pMcz+1>=>CQ-n?yf>XOARuE~3{FE0G7 zbp5b6qkG)vTLs7E9G-a`51giUqLB6RlItIiJ(KX+{NT@qRaZLFl6KcdFN!zdPc@N# z_b&O!=ihgpGMr(xQu>j2!smtrhkX3S?|iSWC(n&v`G--VfxUbE6fU)c-cxe7ecW{* z&-m89r>;TFtbe(GUt)7qvRR`SH)oOhTTz?4lcKYER$Z`Y*|U<%cSh}%4xxOT5+(mH ztE3hPxm|X?`mF45=8miKg0uJhTFT9~(0tN^Y*yW;oqF4Njh456+32}T#lG}?@?8BH zJ07G@UpJxKV8?aM*Kw1#T+-j|@A1W}mA7FbkI$ZC!4XGJTIC2ZzBLlExs!kYTIG)0 zo&`S`YgQ>o^c{-yIF{jVWK2^evj=C&H5E8s=3Hw@7?1hsmc^*DV98 z86<0$FVrqF}MHpE|Zv# zT&%T|m=&(vI}zIPqWw;w>HDic-yAyf=~j9Fx^&r8>&Mfc&G~BcV{7XBkNz&_7$lCq zxKyff^})Np(s9|EfBinPX}o(?%6Ev*>&J?Ql=meL5f;B>w(_V?XI6Uis-TZWGj8^` ze{3wxi+2Z}F8E}|ut4muUP(ccPsN|9=W4~opG`g26#eo-`1HTW?1Lhi6I6EJ_$U!K z>9E-)-SQ9Nj!Y@Gak1weE1Y;$MOVD359F-Mu#v7ao;ny+51aV^L+? zE1;ggjA>fzLhbvdp*w1N;(kYmN@h)cQn*P>Yw91dXO+1Oy?>s6soc-I`Dxz#dilySbO>3IvwWnE~Uot_SbGi-7fhPjxDk~>D+oVRi`-!c1v;9Zt`iGNK zTmH;hcJq&=*CYwu$;F4W=4r>M9yN_fkGR7iaY*AvW{jud`}Ww_Q>Zn0xh{Lp=wo6LHbBw6=t)zkE;k{5(Y-N33+eJL%99e*eH9d;ZiM|I<5HV;xiQPp>~A>=8b40+!4P8nfkI8t?P# zKO%Z3?n>6K{_PXGtoViO*2LXNW&NE$U8t$|#V)0X#WN;$^PE3B;oYmaEl%BSyf^l) z-<|bYyM}YK$k7L0I+}uO|!==N-<(dlXwNah6nXIvRQZ zUX1--uBTUS*?&C|;_909z+fZe>YEB8H(1%Lvf2clTedBl<*`t(xuW}UP;p|H!8DE~ z=bBsPWi9v2nsH%qpkUDM*_)1XELp43HQSA=tz9^8O_tu@()c%rud!K@aqc4X z7ruV&XCh*ZGcPyPysS#?($0A(&i8?PvBWfs%|U+{1dgpM*flZYndec?X;Tbe-{Iw( zyxmpe$U!yVA`=@g7nyli6&txCj9h2t9RDBiam9m>gCaIw3E%u;43^qOW+(^PWIX6o z%x$Q;wVWqBrD+Gtc_o{~C3dqwGAj#?EDcRuUe>o~Huq;X`+u{_o*s3d?`|5_rL*t8 z_{B{g)91UNeXXIFXk*hF8MEgk|D~EplZiiL!*=Q}dA1 z%;UPQ@#OdcJASp*2FC;!e0$i_pAa1JxT|KjQ;d72#Jr#1qSNmcl^!U#e&y3|_Vt>)W%iHS*`GW-m^_QM z_Y0$f`-`u4{UR>EvA(^p-ZxC*tbXDomK3K6Q)I56J?`YCsdQr3yN|WUW)#<`@)a?3 zROA}2s}Wt#>|d!GiGb{evAAiW10O^vu5K<^}P3)AH>;}?3Q#aZ|eV1ck}LN z^@nd1FF!x^{lWEQ_l@ayI2QilG%vPtea>uU+?H@mRB&!|L4>a=D zY3?a^wl`#W;^900Hb?Sr*NORG|LvbRL+8Z3{Yvhw6M8;W%vU<@>e8a5^n1^Z7p)#= ze=1D=B$QgIwJl@HR73QO<3R6UDC3@ILTMp! zC0}Q}`og@K$J#NpdI5WiNKU!Jx3v$iWMbOO_{-+ZiN}ZUUj521c}`-rQq=LYMNEqwA5>Qt^t5hutxgoll(5|6 zyz%hGCC6tUuvaOl;Psu=+P)yw+;1j__QY?87DybKR#&C*^hW*UeBCeW6gv((wXcrr zw5|xZIKyn?d@Wme=d{%7M4#XfLRSOR_Fsy;vi3mcigWe{Y8P(!5UZh6BhJ-r^k;>V zVBCv^N$ZX#Ca*iHn6%FIz2SAv!UvMp2@_YhoakLHQQhL$7_A-Ydq-`bc@Z$Z~HaX~LdbS*vd$oL1ciV@DFL&ABb-rQt&%AHD$ zjy|2W+1hqb;PITR_hXW_W%U%F3ESV1eZ~wT^sE2oDs@?nwAK4d<{L^^olyLKvS#M% zp1X5T7(6nQJkIm&0z>)9TPLzMdbYWI+2#3-c~M)qz;5?rFK_hvEz#YyZBx{n3B12` zPraU4c{cW*)A`=;7bh*coA&Ox8r!hHJK(`&-OoxoM{Y}A?>K9f^q5Oj_;|FI-f_*R zC4J0B$Ma^VI`3>LuQYRCS+X*o@%$S=`*8(d&J#s!pC&-wSTw@{qpcF)lxs@vS;p* zTy6*P>(U@JukqU2J(F@6uKoPo>v}c0&6^wS#1Ds`keB{sQ>GRZHiNG}&qa6L)!pKGF*P@W_QjU| z&?_>URN`58$u)piApD|P)Mte$25BAdYgg6{=t!u4f- zMTi!OzL;#XVqca+yhYU1Cmr$v4|McY3K%#Nxc~n2PCWg0s!>zTZvBGXtD-^zcFCL; z$C*1LIv-dD?Fu)KurmB}AVN@RZ;G#Rl^la}tBd~gk0SCsN);=v{1BK}xFTddcN^1s zUbT~_6W%c=EU=AqSe)zG#NHUoTA?rCpu79r@yaK^->6Rd{4{qCd$`BEFHctO%Q>e# z*^W7-Zs(#JYsZ-G^C!pWv3!ZArlsx4v!aS%VQ?I`dOJir}^eI_5%^>Mhz?$lNr{R?7np`&g*__r;+br z->0RWQ@-ruxG40+(7QaQamqYdm)EWPRxQZsS!Q#1&1yZZ?tgpk&teW+S7$k|lFhT^ zn!uzP$5})4@(h~8R&aHkoO;%JT8!8Om+qIQ-1ju9tN!o1o3zp+qEF3QXKCAxi$cG4 za9(Nulo{T$y>ZP0Gsl9+L!6%$u6;VSRLsl7%b>J5CI8&lE=O^mPg!Yyws+ln^Fhh# zGv5-)6Bk))!$LRPI$PH;h=1Fu664+~@Z|2@)|sKQ7TvvdyeS{<&;R~CTJO{rOW}9g zF*jP{FZJ+?gvk3kz4`&spA=^_3zoaQ%XuC-h8 z+$PSve0#*zLesULPhYB~^Tl(lx#wKi9jce`R(G*hXqTm${*5`-muywf9&QRrXg@c9 z`SXhJSNSdHsqR^&+4M=rll{I%?Y*w5M!mVW_?S1VZ&X{&vdl!d^v2KHOaDqMTDTI_ z-PHC3@15Xn8~ja5!_D?+<=y(QG?V48&4XXwOV2-_aAt$yo@MG&53IT-Ubl>W-RA<6 z>$UGzh!yJIIVZAbtL=^jw`aUm8zR( z{rvTXvFiPTx`UsdY4Iway!TOEsg!{uVeXRsQ3s2wmi7Reyj!VwCaPenUvf4V+gt?5}?UFm5708}rvE{N|EvC5nwbGGt!ApkI zOMIhGNUsrC68Gpr+wLz9?VZieoIfkf)?iS(;k|O8{HLBVCxZsj2G*sSTV2|Xyq#|wK-Dx zf7x|y?WU`lp=mvBNqcJUF9>+2^3eE>y~dk`>yMafd@-4`Zl=}U$8FUoFO_{y$`h6f zJ9hEUvMRnU-xa>cy$D(7J0pTSuWsu8`uJ4E9mg+vC$pxS`*fb1IFB(!J2LjxiB}AQ zN@^_){oe|%97(O(>i98ET)-LW;H=%WS9OYA{o%9LwEnJ@QxBZ? z-YMg`_YwB+pYrvG8~$olHry+3UA^OuyW`J03+fs+RBMX=fA1padJNQikyx_(x9z>s z9p}GE*O-1#buqZ%rY*8fS-{RtseeN9e#N9m0n?fIc?Ij&a)Ym`$WPweCe6M{h}u)YaIJ`!hI><^yidB}Wy+efRKrpHeWPIS1(bA69nena-=2ksAj zt#qmwI+BcE?w)Y{$u)7uA3@H{-#_m=e`4*sgzw)r9K2p9INv7my8fZVT^Dz+yj5zm zMI$QTTG9CkoA;m0DePITudZl(tn&^O5!7K|DA8Du;Qagfago>;^X6x4o7Hx#%XHPG zQ(0RCk`FR+^?ncNyjlDDUf%52&kdrd$~)LE{Qp4u^;P|8M}>cRF*{CAE1BD`{%Do# zb?e_xvbhaeQ#m&?PdqJCt~t%t*r8zYf|3I7?R$4Gl^0lX*ZN@eJx(?;flCVRWv#Is zQ)CzMc(bxue{T=JPtxbsax5qUw8c)b;mim_xG!5*C_lDQsdlNHTA*9j10ZH z$;wkNg-Wz;O7V;FYfVo3mp!K>O0j=+x8Ji8&o2kBx`sjRDgN8%oeJ~J-jJ|~ z%q~9JH;pH7$X(XSm}kh4!rAWfmNhI^(cpx|ovQ`TflfWGQ-WN+1Ujpfm7Ko&Ppa@J zt7~*YRdAGTEu#PE!mtc&LSCufAjW$RU~HN0LPTod?O?A%lt z)4i1(*_ZjNOfqY(Iem$YsWf@7_eyyuTU2&ruGOY~HL2;Q9}6OdrHCy1(B1Tm+zBZIp@OFk2fv%alZe-G;imem@6zFs$@@O$INqRpY|pG_ny`l zpVeaQqGpRv6}lM3%`Drn_44d%e*IB3pMtFLn9Ub9#oeKE3dYw50RZp%sD?@ILdte!V{ zapc?E8ScgZBIkaIl|T42;}&Q3&GOnS&Ye!jv**1X-#cVYihZH~#?!{%C?(_DiMtx1D@^W8dz* z>z7)5+nN7W;_<7)x0Zimv&;|6cK*mE8Gird!rV_D>s~)GytVq}r;NG{-6 z)g+m*tJi*E*1z$Jn@3MRrWih+!+vxVz;q%jrd+tx$ZO`LV zv3JF+Pfjcg0@iLbU%z_JGS~c7=^`9T-EHdbO8!Nq!FO)4_djvctYf~TK&Y$ga&=v zeVGx7IvWnn(B6A-5&z2wy*(Ejx4hdmt527^Am+BsX70V)yie6d%`C1l-6!~y>)n$# zH%e-FLU>+AZCjYUCEfY+N8iJR$&HVX#rXF2{o36B)JR&^``z--zkh6dc(n6GcZ?#( z`D4AwJHI)5d%lfw=+j+oE3^Lko2?f&v(J>)B%EbZMF+{0gQjOkx^{`i+$Hq|yc5;alma{Cadh#5^y*&G)$6bY` zzh+lAPsv)6-aO^k(i-U{J?_1`=XAa+x{|2B)hnWW@0C~K@3&2t5~_Z?lx=h4wx{yz zCHI?U1@T|-niS7&y3}I*vrLENK$Z8m%+K=h#WC0EURH?R_F~#Hk>^)6c$<#>*i^k_ z=e9V>;-?`zuP&B&NS=Nga*KO&&YWd=Ta4tgo0>P47br{*`zZNNUdE&~tSyP{enpP3 zj78~QsnepNR#R_Rny)R?e;VYsbmyd%Go|ehugl%Cz^*NM=NXUeNWb3A2hMdo{^1Teqbr&Oa0y_%Z9J(KPK9TP8ieYn5iR z^G2TkUQ?FGYZD$_lR0(a*lMBYS5!^~E!!A5Wu@tjic2zbom*8`?JvC`wN~hAX!e$0 zTW@c3lQs`k%ZTUurWiAobAFh7^3DS;(uVhBosV61-p0La$GspMYoDcjPOsM4AKP?) zs)=Uv{=FVMdyIFoo^f=K_NuXYyKj#1tSB>ur2lV&=8JJO&O5wj!+ynwCF#zQAAW90 zJe}OMu;_~|N5i}WX`EuYXS51=vaBcHd~^4=iJP=}t3*aV`!~)Q#Wt~6i{5s$AbIY|^^QReqce6=zo>f`)WaG4)ytB!hE^0knQoHIeTK&Uxo(pW0pa|AtZE$6Irr9I43C`y8^n%sg2^bd&Q& zF@w8-Eq0ZUfwbO>AK$1)$3F5O8t`+j{FmM#eBbct%3dOs+)o-Zf4Dlzl4^?CNr(}?>RI6h%VJ@-j}oEP*=Em>ZRXT3toOct)j;vqGwo*j+WPy^Q-{0V!cYh1+_x-T2X7+-*Hw*&#j5n{HH(=huvvXFw z&Hj4s4`#-*ZivndGvO0|e=p>`pdOEZ-kU?4?#)u0YxqO2>7MKDL?-th|E}C<0c(RT z5=r0w8)W&;__Vrf8J}D7OSPP&>wI^QT&?iaG)r2P?XI$$)jUb(-v7ftoDS%vB}*sX z{dTW*U;8=txo(-_8A35D1!|yZj_LrG5$L-f# zzwzZ8!^W3yA0}PCeJ}a)Kg&lwv0qvZCY|tfYSA{m_Cn>^9#-Z%ar3Vp+3wWezwXfO z+wTtFUi~+A-`|e`soNLKU32j4a_`?)Ywfw;th=1rV)Le4JLc8ovb&tu8E39u=pt3N z_4cM|*_x&5TXxreSg5u|_M7yrQ>`QVfJ9dA6PbK>5=9Nm`d(q`SU=@fC+P1jyf$LA_k}0(nXu~ao1U}k*1jWL(n;KbllZ;l zB^mfHn(4m#;@Q=AOl|Q}+rHW7we8fSJ}`>sJbz|qJMq?@A2YZ5{Mo(BHz~f?OPgVp z^wd*fOJ78+C~CU2_WeD%MH&99j3Q?5`#L#rJ@>)Yu5r3STinw=-rPI4!~5L4c??JP zXlb)pO*u3zBiv?Fw@9B#?4Q}&qA|hT2>1~cLyF2{wgIGFFjvw=||1( z^mTfvS8YG93#(t=YocEC_7t=2#N4}{8)ct2IloxZ|2*ZIMO*Ym!!s_&FStLx&Kc0W z@wxlgTghdYrsPbiI^(xvQg5wE{oE6(GQVql*4w73f8JMYR-L)wXZ03VKItWCvqgFT z<^A`a@Z?wbpIyKH_Whh(5VG*qy_Iio-27O1>}ag}qpTh-UDMq!K09QJuGZIQC&>O-=bt&NFDn`J*&wtuNnm#tD82Tabb&W zaNS?Kn<4zspIa`kQmejpg`7RP<-Swx^J6-FZ&jDa#M)Y`UD(1i=TzudtH~!#W^Y+6 zR?2+nSpo%lo>0+uty4%eh~o z*T(P2-G6mu>_+AFwUImfW4Tv_g#9XiQ^h{Jd&{%mx@SK3pHbTU%PaM<$!y*en&Cwq zCTYo;{IAZpHNAVq$?P!c#`CpHEw-JN?s_UM#9F=YXz2Fs(=~2CdH7CK%S9zNqWQ?Y zg-T6FS6VNM+WIb5katthT>;$*iI+dFQSP&J*Z8nG@2*_XT8r)5Ca_r^E1TfP@FiMb zr7=qR+ruosEh~9e8?6)bxGF0ALHHW)lVwGw6ZDR9oi%qfPq`bBYL(-+V%Z_i(68I` zq+f+?ytGcHu-X*@EO0>*W0e%w|W&3(fN8)a^l}#Ypulms!wRzFRiPUy&P@M zvb>=FUdl1mQtr1;58Md9pOLGzyr5h?v-4B&bSrVL7Sp0PF)J!P``cR8GWXqeU0zn{`S!)j2-{zE9C=dQcS5#L`}|PA zGI6DHXV7XZ{-~s&sclNSy{S>3UNu^>ewupAd-IF%6@Sk8EOu&~c#KK;=e|YR^-hyD z-v3*8S<7^3R{s&M`5)SQzs;Sttmt3Q`GW6mzLz~?B`275JYM?CWaa9%pC&6;#~~0 z_O1V_{$6*S>(_s$?p4&&i2cTPtGd6DzEPcNGTF}v=#Rge#b@n9H-SVAKKjX^F z<)L$*c_nO*6?nb=Lg?4$FV}oj-@eHHp^$x*_BOkz!FE;kVfS0_E;sHqp855)Pa1oH z+UCQSlW($q>E8KmiqXy`l2;D0W-z7ZKVKE5`?i(KHd18n(l-%{$~?9&a-P*0YkF(z zkyTGhZ>6vP#}xbZ=B#tlGizjMa)U&g)l_Os*<$e-nZ z-v8`)?x%v-+b?8K%H-^Ru%Bb*>fhR1#BSX^m3Gf!(!v)W&w?EPmU&OGjIrD=yzuVY z>|bZQe?8P{pJ!;l!QipcKAlzhyBs3?7+ybTte6#FcgH)IHO3CRLXD>O|Ix)S7FP~d8 zhcoy1t5e3Ob?)YM-K~qdotyY)!qMB7(Q^w=9t@3)jy+gv92Ro4$a=!6RjGVpCFTz{ zZa-ocqxQYaftRWBXxG%P=+NKuPp-Umm-FeV)7xJv8tl%sh+lKp=5bN~UoXA$Pu4sx zYudHqu8nofG{b=Rf1>i@x7lhIN^UlZQMunEEc$x;q~%&u_`>dQZ%Qb&tWgTfopaaA z=gCd|1U2=KWs2(_e`DU9c-S%NVUOhW?puLVAI+T8cWdL5x>xe&+t?qk&F1{IuAJ@G z)CJF97HM2sy3J<~d&ktNS9aI2MFh%fdA!dzGCl8?nkSgOx;#9yUM=19`pH#e?cz`Gea>xv``K`>n8dtZzGL^V7k#^4^liawiOzM-@k#qidA~?b(5Tz7 z+-vG}(W`H*H@>}f@l47zmQx$Phg_~#d%i;cMQ8hKB?D=5JaB{F9nj z-ws7xx0%;lz22~LrRrch-L%vp=uu-jQ*{T2gPZ{ECTsp;Psj zZ`9Jw&kq%2y=h%HV_(AVh~stfEu8l_R-U?fd*+U_jR&^!9=*DZzpS$0*wxhqCI;sA znHeS*4j+EAJE-GY&g(5RZ%JHI><*AVyq@hB&#K86{ieiJ-CsT7*O^V*bIL7q#8j{H zUB2abHn7&D{K4C)ug$o($Oc^VGj}+=XtAUA#a+kPcKv#jCi3k~aDB*)k5(byyFTQx z8cp8)zf3pks^y~8^%En5*SlzO*gt+X^~d#s`6s`6+~UrT6{s__%~EgS&RBL(`dUaz zvGMs=SJ!0CzYw+Tg6lz_n^6Lx)>*+DQ;zmzci-M6dBP{JXc%S%tbzxk%)E`#3wvn=NggFat1yQ`R1F!`#Ui_=_|16}vG39R;X z({VObwi@e!Dlr^eelY(EXyX>_VxnMctR~81Fphp#G^v>BG6B`_ex< zAJeg~*v>ewYRA7hIh-}A#SGdJFS=frD@2AT%WrWL{$mxta8YDB|Mi>oyF-q#Y!jV- zc+CcT?d=wO-|xBeIrH)ScHuj|j=Lbsdd}veEP|=6sJF*#Z82F{yMLCQq4p7TgKv> z|F7H#+EbSC;=z=+&ED#151FUL9MbADa>+fIXB znsZlNykJ&S8$7Rku2EWB)xPyY>My<la*(6UQY2w z&nGdbbhj!RS|nddTw?v#v~zB8;pqaqlI2X6v6nOFSc~5HI_>Kcrm9nh-kYDsuQQyN z@HysGR;7%}jnFjtIVWGPjP2ApUGgaC&W=1Lef?WXyUTh1x=C%G{)s8KNBrE|Vu_b| z-;{fA_TM=h=Qpib>UrKb-)FaC_HfzBmv{MC*00r`cvm@i=GAYf2@z)dn-7g;BWtzTO%zoO6XJW5r+?ljx z!b;x8`_q0rnX>iXeAlz0@y%-e55MsgoaJ2FyU2ZKz-FWTUa5~)+kS6;D4)7lf0oYU z_jk{pICuH9WTvhC%YbKAFH;#8nK=GCq4A5k_V?T9_wH`%Up6pKe7fzZW8d`I*E!@p zJRbzyT=4A5nhC7B)AvPWnL1pKd!L`6yzuz`v)@f_H_bVJW9OSs|1Qa&Fll=9^l$X$ z&L&?zdE@)brRTiu%>RA6b>p<1eeAEdtv#M9_y1v%%<^t`!HG$&vw!gCZTD^G*$~$I zx*{WVwtKw^L-6C}+k*~-AJBMs=-M;EkhRMNSDx$p{bJJ^4Q@W`RhdQH&yxbT{oEq& z#}+leTz5CS-!>mt8*V=~<<`rl#`i8P6VUILxTxrI^z1pKkUwVzA84`yCu5oll$h1mtQ}--!1cq)&4j$j+ux1&Lr16qARCt z=~d1sO`5$)Vw;ax;G%SK*Ch+qRaWI0`1#&XM*Q!hgV{44?~aw=dn(Mq*pcu%8S}QMn-gQSX4SobZ;29 zrl}nhgK}2DmuDOG#99A5F^bxl$(IdUQ8+qt8+mVB;kKf zbkZDi_WQ;kA5`DFcI2tcWwD?=J~j8|be=zA{IN3n%c;&5-6a(Zudkb1sJ}3HR;=>! z)`<$2&Rm-Fl;@1!6U{)^_ev20EvZJ!@}H>4_0~jjZ+LZV;$$BC0 z<&t?Z#sA5>q^)QA{zlyVIrmgB^VZuL@4C*sdwJtvze+aE6)SG&HsFzHZc(xK8R zYn-H)#TIaGO6guR=L&a{UxrF zB~LEIDYWKxhVbo`*fyn@v!eHa?Ty4EqATZ4))H3R(lkXvW{dc;<)PIzWpnr6IrsMv zFW0=6x&FS@OmBbh{HkWLbjHvsL9^_^sKe~Crb!Mp4~ zW>}xNxBoe-U7AWP$Ann5{58yiXV+if(Y98v{k>57)EXz#%qHoKC7oT({5`+85AEtG zQ@pn_O`d77WOu-U%Z)Bw@1*uB=Dj_7;1=K6yKL6sKjtxoc2}!%&4}EfvBUjRP|VC1 zY74G*w(LIlLtINgce`Hri}it%s;87}Ja+u5or43{uC9zHS{$|>={}n;FIcJByFs9M ziFi-(PrW2#J6<=eJ+6NAT1)k+*Up8XMD88`a_H}b*qdp`eYw|f1>lT{Q@r!=9e=&OgrHAmNo3IW8A&{s*20z z&zPumu(#{iWwWT(-CG16mL2iFX3w$9rN+_aT!YiG7Dgd2y?ot}1;tfiK?n671*EfY zbB??B&+)?1)xNvdE^cn<%zn^qwN`agc}aqSWnjehsq(ktx*H!qGpJOUeo$oNXQ|rR zy=Q$lM(r?iIGzcd(5)YO*m4tcCT2` z!{)N4SI@5Ph`FxDb74#FiMbL*!XN*>E^BW3B-*vDbH;HE;e|ym`Q`Uc2yA4G3x6uo z{WvvnC9?xZh4WSKNfnw?8(I=riamJyxnz~h_+HLAC(ZNcj<;QVxZKVinIQ^qviGQN zv}efd+a>kF|it#gLn}l`5ZLM$>{PxN4PX5v; z&YWV2FI7LEC;HXzy5F|@MOeh8g4%-@o0iYl{rpGwxVfDC;fmeol@_xY zu5yIFQ0`!!po);DD1KILzx^?gl$_x~>a@SoG|u>Hd8JV`R^C%SV+$S^#X z%>Bi^Q0mFC{q<)#ItmYjOFXc)3Sicns&?L_N%*6|qrbY#`NS8?Fv@M4YtY4iY>8!| z*f-mEt2bY5b!?jdyYR8hPR{h2=~MZRH(BTC^C<9$A9}x$spEQ(pr4iSr0c3nzLX_q ziN3w0qQ6OC^2!$Be&03xF`qBh6r^ z8qOJaTRE)4URK6j6kc`1YUaGz@6zJe%$xV%U$0^Je~ASg>nndTRB$C{)!KJSDfzzW zfAMtnvJQr>tjTHhe6}p+Hmchv#hp@jd2#g{YYl&TqUhAhjoTKbH(SYAD}Qdec>GA! z7G8$CQy;JHEofqIU|17uQ5Bf9uLuc_)yvDQNY4^vQF#vY!g`Qwkk~DsqxXV zZI5R0eu)xNRgC6)rCYQ|=}cPariA7TZN+;S6x$ZYb_nl0!x_KboL#55cwysHwmtjsvQ~L!+?IUbl5^XtwubfY-NYVyBg`O% zX{~2v zv+YH7&i#ty->K#2LmliyoFkrfM;jiw}sskNMQx-nwn!Wcx-Ofi`0o)CrI3|4K7hG0zk>$O@ zHc^dF%jIoWTbWI5Pmwoyb7}GErxjL{ZgjfKPqSND6BU%^yCnYI zl^IsZ_EfV&Rg_00yW>XalA^BEC{dx3m=*2kIea|oJ$Hziq&FX5{$c6stCpLmw$GDQ z%Rk*N&?K_jc^#ARzShqV-#xGYtE;g;RPMob9tek zKl)qUcIRF24A!I5zpwX(32G(L%Wtu_cJnVo?zO-Xwb9v z{v)ett3;%^Wm`i|Mf9#XXLo(#^QHE6T9WM1zIE&7R$rWL)sxiwp)<}YI4kFl&RVxe zm$L439ew&KWS`Ql4L^278uuPCy?kS?-0^u|EWRy1{*m9I-)H(ae(f*Ck`a%6b}+eC zcz^MJ_c=+v{L3}wb3dXsyoorzNu`;0zmR8U@XZG|PVDe2a{1WpRffu`Gi0;?>wdwt%AjZY%o5hZ9y?oetmw$$=+40ukhy_0* zw!Th$9=LRRs7|;Lx4&AWFbxB z&b?Muaeu7;k?TcKN2|=rB@UDHPWqQ+M+q3I^GFC9Iqf{Il4>${`l@RhQmfv*P;G8% zJ;?ei=7f`5?_}pt#vM5cAFLAJeQ0=fC2D_#@$q1%Q1@xa8(B+zW}BXLiJ9yZJ$XsY z!Iix;%2X_EH7A99e`ReP{a|h4DpgP6{U=M;*SI=}oK$w>oxHf{$I`w>mP9mv%Q7-c8+EF87Ih;u{gZsKwqL?`)QC;dn0= z8u;8O>A}+NT}fiHE{5IP0?)kdy|pPn|5ntuwR3jebMw(Yz3;6h>))hU$@H7s&DlQ{ntI))8C#; z-@u<4l=6@{WXaUIWqN{}_dM;sH)jgZvGn^PCm1A@?iy^9IUc8RZ}IxMq8AUV9qdxw z8gcSO?~+^hUTvw2S$tu&na?Gr?}q{m7H*AOVjcMO&$LgW#XR@BizH6RWlZ=gtme7m zTG0BXm+Sl{>&w4yyQ;H(+7IzNBGN*4MYQZitM%f7?W@Hm8b6vVYHDhd=-AxKV7tc6 z(T?F5_qkL49#ivrkUK3{FiXiL4B9J)?&u3yPm}OZf|^5;jsGdXHE`3kKLJ%$}%! zvnOgoZ!B9>ddlIew&#QQeb{L&{BU_{s7BwS|Jzmn1$v7(?31dSTs3X}qPq+~_P7X{ zHD6)*`0p#L`m9TdYs{`ZG05`dbC@-4`-Evv3@%MLyh7CSgr)C3rKm}VckCC)6;I30 zv#XhJy~J(7^b^vHPt9L+fAMkM?C@i2k6$;r{iJo3nw<6Zm~YqfUsSVJ$CUEwKbBNv zPT*LaxV$iAZHmW?JrD9a1e;uhT5i^cJUQbKHuZQ`%<-`A!Au9D6~EZte5NJimr%>; z`}Bj$qfHfOggdm@4rnYi*?Ibck@flz3EA1NOUpLw%U55ZQg>{|*}ROtk9U|q>*N*f z=F8>r4)DoMw_Lx-Q`oNe=!eWl=eUdFx-MJr$89)c_foC!(%diAzTVe@ZTdaz8dY@9 zZa>8n{@T?lyh!HO64ObJ6CG!owLF}Cz9Q__FbV`ityU ziTx|Bt50xB`#rX~ao9+AvH7&r!Kuq3id&@$L4ve?G>CY%wy?e$dizZRuYFW?!4u4{yHS_&s}zN%*(f zy5Clx_<8ThNxk$PYdCJ5-utI5O>N?5#Xl??Y#*%NxNVNf>#Z^qrwTG&?MRt$px9o- zWBwFz9d`bPex|e~fA=JK?no{8oLDBre>LUx8FMC=znr(Dr!t#0$lbb9Bza0-_hrE1 znOAOy2fZ;&-oE}#Qpe0K=}%40DSyi_lFdthBtB#N0|U$B2mKwS`Bq0Mg_oV~-u{eZ zr|sse&vh-6?!Eau=_r@J=NkUx&Ce#@X4}nI8l`tuT6jjs^|#L^alSZQzw_YQzY5Du z4?nzhZP(HraSFF#?;Th%d8g|S+lz!cPaAwo2-{)Vum5qm_?7isdm2HvX|4cYk+`jqJ)XAruLW2438*P+2 z`bj)=x>F$gxt~8bRBe1)xVdZFj<0U{S*I60H(`FIy~$R#JLJX76E%BxbZmQb(|SpX zg5`=oQ7(;NL<`(!#s7ahyh<4Jy^o~pcKj;(d4|y-?8C-)Oj7%I z^Tp4SZjun`f4J;M`a+J@K+aZcIc|&JkNv#wfd!iYuxYyCbKyzXR) z6IEU&Q@M$&=#t`;>q!B27Axdz7+f}(p1gfx;fe$10@^78J|e8Ldlh?~KIiTbJ7{Q^ z)N}3D^b0x50-Mw2&e`sob9N(stu*-^5Nk?{bb`*%7ll_WNxMw)L*%3lk5QT1@G$e!V`pv`JHyx1sP- z;QG@E-)59MAK&}`{VN&$vtbF`UlztzE%~fE)yjwEx&!alqVkP~d5@O}OgS;@-{0Fd zF^>=1&SO~9|LVuu175FBbv@dhQJ$Z7%>2nF)xeal{$(%17uvpm%v8>JaM345gT9Nq zem{6M$CC4#Ym+Af?{UZ6KKHfTF6OC!xh{Fj^kYtO=qHY8eFmY+dGFk9jlBD4Q9R#) z`7fBahUNadP|o(QoO8z1IJTWrWfmU(7dz*bilbKRzkc^k6|T-|_P4&R31P@rSX#*P zQhB9BNWT=rc>(>BFW(kC`_=Ao!bUPYZ1#$Y=C_MdqHyG`_`yH}0&M-!A{$yIc06S=JT+<8 z?D8*P{{3~$_-^-R<@|L;+&k|@iyJwH>7U)473U*--<4s@=XH-gM11nk#NKX?(Pa5^ zl_{pz!1siywN5fa&8)z^Zv|E*27OiFo_Bx$LVk4>(fY|p^}l!QbW!~#@b3R7_c`Wz zvrC_~aqZi{-*Thj>eu9H@9uo7Q4!QD2z;Wzt#V1VXa<9YiY%-0m-|Z$(o(-waGkK@ zZDTi#n&Zcl;L=lUJ<;9pyM#LDKcB!*j&+?Zoz?%R1yo8*a#_GODYj)pIM24j3hUF< zRxHlo+$*T;RxtO(>WK9m8eF#(FRYu_F*#kB;l#h)k0-?mZ2A`Z65h#QRQn zw7BKxJ#vY0TVZ20<@V0*&ocM*E~%CC?UYjA@rLKuD-{=~!0MlTmItFW^B8#2HojDE zTr^Q+jpIj=qE#6xTw8@MT@+0ee7|o0o5?C7iRtnIJJ<7kDHPp)d6w($FRtM~k}Rez zlH6ooB>#|^&8W(h!A}2}aai-Kj%S@ZYqq_Qzg{UMw$q}Lud%1_+aIqJCGivdw@F9m zcK%9A;xKwGam#d`sg?jU+xLTK)5JG++!8TawS}MI&YK55CCB}hURU3&G?(muk};Rv z*d{F7H@n4m=FEjN)>zKjvM_DugP!Fq{#o;`ob;M9wc=!6jK#-?hdQ~%{mxC{UR?1v zM5cjPT}XP8dUU`omS@h#AMz^itJm(j&?Kb(+^O^L$_ew`%cjqqUo%PZv%G5Xcnh!bsiP$}suf0$x16`Wl(6DdoWKJ;pZuS{FU?x(wC9P7e4SvyueJ`o zQ(+Hhe=wJ;3GRF!f0CmS z&hBxRUJ3<)TjI_xS|n-iD01}Xb>i48j#@mNb$yW9QY@5S>^^@;pQF^*}f)$FSl-^OA7H}+8Tw;3PYFQr5( z7)@@xaBu`C&nPp%0Z?@^WCABGmxxuRG zLgP;+tHjugrnBSM%9DixKOT(J4wn{&wCK}Cr zpm;ZLalu~ppf#&ACkR8xwW7 z_Ags?{*!=4(@XuOR)UHS2aP0FvqYKjKX1SN`j_IyL#sPF^+kS#ZhI_uiq*Z=)#S?A zhQ%#BEfZafpBRbv$B4a^ogCw^dFq_9zLlEGJa0~~ZxB6vy49q2zNyilho{n+Cf?G# zC7K@@^weijoo@W0R^zqDJ#AKRm~(H{w7H%0eykM!ao!=kXsXX|M;`7KGjmH8r)|6F zo1G?oQdK$nWaiPF#nPsmd-K-J$W^(XYEpOYNY3I_0tu;6dw9Y(%N_j6vG#c6%&#j} zb%r186@S9=X=2RO^K}zsPrTLoRGGf1jo*Kj%eBxiGHFNkiq;9;bMEcrU#d|e_J64}=U#^m|uX?6eq`k%gA@&0q-}HKybC}&Ws)=;H&EmNH z)V4GC_ow|-yEo}!ypo`*yN8qU8?Q78OBKbIyE9VeJg8M%D-+}I=eAwwdumJ1M^28D zbAKGKmu8qR?s*|A;BZ^Mq@~Wnn<8HhuhH{cTGFzbb$d{3`R%M}X581E6VCK$n5tY` z7O;BRoyOgBF8$sUdX-0t+wGcnP8jEm#iH6fbXq=mO*HzzI`vuA+(Vk*W@EYB3e_wy&4y%u2W=w4Ob;^nJBlE9Q#fOhH+OCR8^x))@eXZHWv326r ziZIi2Ju$bI_wQBme%!e;%0g=1#YYSt)4xqmJ{-wr)4MBvnz2^2{jt2=%`dYT#T7oc zDB;{bt10ySZ>BX5j-R{R(QEPV<@)_>FJ|sw;+`lQ;KRnejfA6MIUB-U!Of^ z-#*vmrqGBbGXvUEuLMhqZ76E&bt_ApBa*1I>S$%-X;B}=&fim04z1kH_#ts)NM9vO zuz-4hLACUreWL0+^26^Qulam*c0th@MJ{tswa}OM7M2LdZ(Uiz)&2B+`PunXL+7Nt zyAZ(or{2cl$clz$5zkwir#k|z`97>>n>v@DAu=iBLR3Pf<^-nc9?F%Ds{Sg9dMgF5 z=qMf9_4&YquE&!P81jp#u?bpS~l{iuWDZWE8~#W@uk-v-IlQ4!SvU8mPq7}gpAZLGtwO9svYKI$q$a1 zICB$2YG?CK=FP3;uz3ttrHt_wl#zO(W!ZhkF*LD zbQk<*PTs||x8o&q+h3z2`mM3iNAr^^>q3=t&o1?5URHU*$qEn0RE9`%?fIa*{ z`}I#nAD6sqG2(qP(LyzNa)Xw;fBSd77%kn>gSW#2+kd=k-g?qB!ur@Wqnri8w>iA_=jvP+$<{qB zVx75diTc;49KyyN`uR4R>bst6Loq zZsOS;aBs`B)rVxCROW1G>QvM^RJyM>EVVTMkHe+r4K*t3)@#dFo^uZtyAzhxd|)|#*Gw@>NV z;&1;v&3^nyRKIKCxo<(gmiAwXQuX%QReeseW+j4sFByuDi`(Cp+*4L8d8p^@6j^J7 zy>n;i9C~z0J$%}S>+|amC(7Gp=UBN1bxfX{CCGm>9&nk+8aeqNjMyzB)z=JT(fX@c*S%f zb5`%pnJczy6+Ye7w_Qxc;i1um+mBc#o-jIESMk%FeO-*soaXk)4=UbQ>)2Erb5ct5 zJeDHYe6%Ss_0Wk^r`49K7_Qu~bVrr`T7{4}p+8!O^pvo6o?=_DEOxWB-a5adKfR@1H77ru=B7E|7j!ps9MG zPTtWwWE0oAsPDIp;CZphw`WiMJ8=ga!-o*#-MRb!XBz$#u9Dij$L%1CS+Ie1ns zvdS&5{Xw)!kEY6^cgNgqIPJG+O+3whSiy7cC$`{O&jaT%uM1E7wo7C8oRW_dr0QcG z&sM}Q*>sRmfyrjpw+YS*4>vEfnU%Jn`Flu&rcRGqyUnbBi3NvOXDQ8-YQD1I;#U?M z-EWhU+|9C%==|FK?AF0sjO)9?3dL*}a0K<7_^{IHZ^XV+em|trv~TlSul1UhcbMm( zU!n6G%bL@VWY#@BlH8^JR&HA1ujqiCesO-`_9E>gU+=u=CsRZ*EH(`82gYcK)l~ zq9c0Y_AJMC+qj+1+tyZ0{m$IPI{)(|y~|(qMJgn{{vNZQa{G;D<_3@R@~`F>6*XRG zIdO627VZ57ET6n&P49^u;ArgA_H%2he;cxH68rp9)sb~Sr074n%?dpLCpO@Vkfkp3P6+JX#wO^StU{>b!41$7M5 zf_H9XGzeJ3@ZM~eChPp<NAl6Z_Tr ziFn%6l>Me&O5eJk@-{REcr*RJnA*5%moDRy`!ONwdf!{r-`;vf&3+}%LFQ}Af?7{J zT<4s-Cgj4S+_{r{edkWCdhKmlbeOUKV%?PD+xAbdu*;p;xvcY!?I(u-)}ABX6?v|Y z7RGl^aKHK6nRR#cgsM5mjh{HLs|)inxxpI3C=ZcDmjR-`a@qV~(4J08om z?#Im3)j!oF_N41#oByrLhgR%AoP6N6#hssp?ArgTBXs01*KYHX-}d6R-o?*TT5OW| zJ5yU9b1_APO!#-afkT?1dFzCYlNKBc*l;lUkV-|(X{W%^hu{* zRe60#nzr#+Xm4)J)EMcjA3UqWLqjL8Inyhi*7MhAa+)|#l;_7qjfJsQ-At3GukPLD zqo2xmc#TSh?Lf0Pn-e zrbgRTxQzB(n=nDnWS&g%-f98$)qx9EI9V56S#hvY#y2SEL}1u6#pxH1Uz4-XOnY|y z%nsGhvsG>w>|bHL+o{X$yH?-6#g>z(${Z3$8uOMD(&k2D8g3Ga$f&&F~_S%HVThE*d*SQXOI_9%rkCd{HAvI;i=6P z?fZV2SZ_4D_hkL=r1`GTch#S|`mX9|aMBI#sjrJId$joXm?Z{W?h?8p_9TDSugCso z_UuZl_s>$}O)1(P$aCUjP4==|>$U|sQr|g(_ooBjd_uf6kaAc2B`jcakB)u@9|VW!R>5XaB0aG;do{z=xFF zLJg(2k-_YVk66zi@erPqx5Z33c+>9>ZL=f)zS3Q<-(}}t`)Ts2f;~AYQKcOz?~P@) zh4h-KpQSf}OH8l~sw_Aatd%((aP zChxoZOeUHK{T*vvyzj97GOawsFhRAAXDzGI#UsDB`#N5(@-Dm~ap8zkU(~z zpZzROUGbY?>vb_lpg-o+gsPv94nKUE^Y(_^&Yo)Zr*@GaPG~eIsOmXx(!p0jC7|V>F*<)5nW?ALoDFHOswu&SCzw zD(nXYW{YZ=oJ*Rk`D$mW?rLHCgU`}E_oT1llX{}WQpS8Fgn4RhXeq~wn=1MoyIS&X z9$yKO-yr+C&hD0o%!2m3Jpr1ICu>TUYnUY1U;29?|5EM#6=B;iROhZ@yCi1aTV%_6 zX|L%N4fjB6$N!nr7Oaws7t-{V$*U~ecl6<6nQeDBb{A<$w!NM|x${VLseA0hPtRQR zrYC%@yq2{hu8V2cGs}%SofneMUVe4z+rwPV)G(KhC z=z5c%Q8|fR9QOYad@j?y{m|3*1vVG<_u|4hm{l>jwyH{~P zmzl6qq;mgVZRxuYzcHlwHa&EgNH}P*N`hg2m`lMf#RQ4%wg1I9UcM1Noh3MZGuNk! zYwm9Co|$*lWs0iwyv&bE%cC~l2-0xd{^$~K;H}k5PFHUJ zHmfsx{m$->Zs043T^^DYnILYnffr!q0*((VL#m zoYRsg@kDjSB*yN)fp=T_qkirT`@z|oR?_EW?vlH4k7r-3%)_>sOulWZu7_ zO!V?>wU{`Lhecn_t&P^$y>)2&dN}uFK~=G;^VF*)Qjx`KVP|)>nI~#Q6)sO(G0Q$Q zV&9~U``l}@CW$U#$i94H=d8r6q6Wu;)r#?!mNCvtyXNG7=BWO(_v(cAYlVN_+co+9 zTJ4|ru5Ev}qVdzA8jVNS<}2m>)p)dRU!nWQqunL0-`2`+%Ktkd_xiMNLj9ZgJo1a& z)_BhD+7f;`Q6Tb#5}h+(zYR-|Dl!ucxSH z-8z5xcbSA{wAPnz$Fszc7A?tWGlA z<|=-Fvyxb2_@$JeGmh5ioBXrnv0vi(A^g)r#t(we?rxpGczsXwOj{)n&$(xowZG=9 zTaq{ZQjIgm^jnReO9Hk|WL|#rjM}q@1{<%$z6e=mt#Vc-F#J!8=1vdmvsF<>{H7&p zt)?m0-~XOt5@Pdq^PMHimcPSiy{OlI%F|Hjru&jj`b)@?3Y7&KzdbG-c^GVXthrEC zT};~kwo8@OiL2>{gg^RJygFM{v~Jb;0{v;T&Df6!e{86D<;qs1wB&VwzR?TCj~6SK z|A!x;2wu#?zPf@Jj3!yS96`fnfJS$&P2HXU$IEc-X?Ebzxad{qu)rr>3ud zA*uVLTrhkk?;};c=1FytOLnLn(3gBr$FRdhQcTiBiM@frto2&FS0-=#x7Q{&7P^)Q zqwvdcr^NYgoS!Eync_DQI@-d8`c-e;BGgo(@#Huq$`VGGbr_|A+!d#g;>l2aYs;weX2yjCuD zE#LRDx^>#@$qB1SOUPRHXmxLOvA*|O`KjnfuPbvd?Pa#U605Cxw#&RZ zErtJFePW`jiwj%Ix(-L427hjDrP+#ScfI(i>wHe~d~T-xqndd$rN3WvH2!P8-ni+hquFmD&;yVi#@GEQ=VmqKv7=ENqrFx^59@idir?!V0 zOC^tHeF&(n=UaEd|MzeG`4+X0?ic)evrnpYdA#%XFHs$HTQvfb7}R-c*cv!8>@T|e z-Tc4TMOM&RjHtrV?y?&D+Z`qr$ z`kvQ}4P^o@_Dq{9eM_J1uuwh!BqwJx^DNCxo8G!x?OJ#9Vbscah31l`KpSISl^wsuXrB`)6&%botGOA&}Zv9{G>X2*i|EaJjFPK`@v0Fn_bMLag zIFkeVSvNZ7temxcyWp_{ua@qymSOY%t#jj{$*KwON*^&DoaOrW&9?i0{Zbd}zcqXI zChX3!DP~IPMcej&D?Zz%y2aOWw{42n>77!s@wew0FdcE3d@CWP+VE}FSrJz;D}hM0 zxe31)Pt%Y{+`2Js+hIFn|8*V4!h0*$dmcP1c7Wl%)mD*orRwN8vdbIV)X#1B{ByQz z_oL!oORL)YPt1=e#?OD$zWnL>C+1S~@2D)PYpIJiyMB3QUyNSMajQzfTc`T|h`-&V z{ilq<<4fPPH}Z_LM1NghmUFxN?8=%<8Eb}m!LzI1x9wYg{?$AOn}8Dir1A_NV~rjj z6Wb}@HEww`H*EBh zt?9nM_^tc4?2^foWcIq;l-66SqNe(P?(3Q*wSWCx+wSxSe^%ZbdGY+T1<^~_1RD0u zsyWs4*=@~!HFou{wtrsTHty~G5Vrb>t^1_rJk@s3hBUqJ?YDDpm{>&Bdm4XXKR0{x zg4L@yyfV9t*G*}&dtIOweqn=j!pvnB(pPsXJzh9L+eo@|r_$3oMknQ%AAAnj9rsv4 zPrrpHaBu!pE+aXvl?uj|Q{&8i6He_ZWa#1fX*>H*d6#C`l^wSCo^JUOR&?ue?U_fh z7rO5(jq$ zSMcN*qfzU-Z?Hhd#ELYc(vuxKr zzQFxlVpEr~E~mY+S|T#%@&o@x$fhdu?xK&%ay#)9=J#|AVjlZnz2` z&FUyyweRT*gE=2Rq-eBBr{*&I%YTY`Eb1urrz4%IrRB^mc7Mj0V@@th-TZ8$E`FP1 zGxJT`%Ab?}NUB_9o8j{3(_{Vre=j^}+35MSW>d-Ulj2_@osTT6e;?eu_O15nXYcnY z@m;i#H0WZ>YN+}wS$pAt&B5b~Y~&tG&Hr#Gfh#0!Y51yX3;uZj&}&P7D|UEuSogz7 z&*@ihbxeP=)o%9Ii1}xu)}Eizs@1ofx!S3x{Ke6r`oN3DAucoD9ct^;n|;zC|KPc& z-ifDFMGpRyt+O^wKKa#tm++~e1!;j{w?(IBE!y`}_5C5OjU`FbRx>R>^*P{b){C-r z<+j@%E8cfLKI_M?No7grd0qD?IfmymGHhMHU6#kPTKbEIcEyH!c6Bj9?eR9QC$B!9 ze=w=ll_R`ErH&^-zcVyDLg~a&Ppb)GX^B(AV^q?+YgXLdl$3Z?{?#N#t*qERkCrJ; zWUV=V*2YO#z4Mjjm9_JYZ@ql1F0$*Ddz|l5#;39NpH~>&P|#W(rKk1fT6E>_&4D8J z^^bVn*G_B*mpQ8(k-yG(_0COQCnv7=&V2uSwP?-$`q#dD3(lY3CVbFj-K2Nz)oYem zZaDkYN~gj}`BFQFuV|CNub`(~-!+-uPd_J`8o7s+b0kb-ww>KX2{s zuAk3U&~?z*{PJ_j*;-$jR=Pxfdu+19u5;1V)Z)FF;Y(OApLTWqP;!XntnO;I1`)wJ zT^GX>d-~_y+rNK}!y)nT45fnpy>BbMG(<%C-&!AHsat(7;|kvciTz#Q7^^IQ*gXPU zRjBNL^1=2G_vXI*?9;G5u_iT@ZQ4iPnD?_!&3^yr(MjLT3|r^+f3I>3u3qZZ0wdS2)-}O@?X{0$e2LK)KqMWk#rR!IE1FKXt(@+I2gfm6u2^XA(d9*9hp zHc?%#ey2U$QO0~yp!u2?fphJx#f{lk@86oXCvbX?`K#8CZuUHnIpy{{ACs1p>|gQP zp3Rcu@kH6DH%|l<%So=?*4nMQS8wY%{~di_cy<|Wns>Is^lfIT?X?g0b|~MQ+|9m4 z{F>qWUjCES?U6Y$HkYKm_o%OMf4%p(!Q0A?hKT;Ii>wTf<2>Idft=)AHOcd}scO-@ z^982tFGO-fix>9mrmC{N;!fkgZE!Dh{fxV=HN#TSt;oQPdBSbxbyfKh&RWSv7s#UNOt5LUX6ZI4lg_xkk}ufBot164!M{ z9!@@~USprv%%c8KYk&Wy@9Sr)=t$|$%#YOfG~ar)?o+{3(J6_K_;YpT!{W0#JzQdH z7T7OYfAUlF^hn1a)B92lWloeZd${(myJ*Gm#KV1CZcE^jaEaxcawf>FoxGuKH^)o4 z^L6Vb>_plsH+ZZzG`*aqz^;GhkL$*46Y+W17L?ywb6@SzuiRUEl_$SuDbe~~(D!Bn zD~sMN7OUGCg@yc!W1-YwE@oky(?BVhmxl$+2toM6$<>Sf22QD$syzt~v z)0&jZ9}2og=~C<_ukSIQyeeijwc3K+WOo7kll>n{SA9Dhy<^Ir^Hn@t3fY%iF8{pE z9a6b4YF7K!_!;uMY-W722-u~V?())h;(Uv##-G?<#60eMc6Yb3rS|^do$bZ$?cUe^ zE55z+m*dz)Sx?EoQSSp~*EMY8O#iWc+ViJ9vzld2Tv@;G#Sz0(hY#Enm;CVLMOV&} z%1R|!tF>OdUrJ_6dc++p5^Q@_e#7?qi;ORtWhzhIw%2JdaGG;9`sCao#frkp|0=D_ zmbV4WJ(TB7`zC#Czv3gd0|AB;kCfU>w*B%kPKlBsdGwrAlv)K3PN7w|5UEel}Et0qq8Q-GR&~nJ(^dZ)}cbbdVi`XreUa0GdiR}rS zk;J{nthm|g=pk;o#hMa78hLwH9Ne%YGwcp`;?cbmf`8@CedRRq9%NM| ztXMSWEi$k5o&87CMgPpTngs8g2YHLGzx-o*=aX&GM{k?(6E5+r|8JbQ!thI9uk!wG z4XsBhx(meWS9n|({IyLoz~lVoC32e$Zd%;DV#~Gv*DA{&0%@~mH7B)pg-HdTao@pv zSL2y!UC)`*ZLHzu&DTyZ5_5bV`$u#&qcH2d*eF)n#a1WgU;0}nx+eIK;+NSAj<^LV zE?m?9(RkL5RaJ=}7;D*excA>;sNh^#_x$3$mX&%A6?*rVWq;EDCDma*f06s9ncKTA za6c@b@b&lh1q#0L_xFnjI{us6-tj^p{F0RX8R-Y-AC^0q%zEp}7CL9vpHJ?M2H&@@ z@;|iv@89X4?tgqN^#6%--2Qj-7VD(j&zbJq&wp^*jDPm`UYad7Ig+Qs&A#mF=GAR? zUFLnXzHTM1%V3hRXoa(u<1@2o4BB-(kCZBSi>HOXTE{m-u_Lp%CPB^zoM#b-Loa%WvvG0h|yjZ!H zy;4b%*M66qEJ%tkui#=_9;5N%M1IkchTzDFFQf|QHA??@$aF4QXKugTNj`qblVLWg zMK(o>YnAs)p3b~};#-d9+e6F#9)D^uPlr#!=(h2Vh0f{OY|@!dFD`1fTv$ArbD_IC z|H7%N@75`nL_d1{K<0(i?D)S?{TqLtP&Qj{x$(V3?7BY{O8F-yJvR;8U-Z0GuwY@z z$;}ggD>?YP$m+2@S+r99QyXt+pJ{i~M@=2BC!5x|*G*Q|qLUEFNdvV zt3cGc*ELVfEt5Fb>hRWXRQz({{QVWOC;4CWoijhQ?c%=f@?R6b&8*mNv625xy;gt8 z?e>fIf#OegeN+)QwLdGKR{4`Xnk^>tXM2=tOy!Q*M^7H9D}3aUHEU^uIrr|hk$qne z@pAk3PsqL-EBrF|$1kyswM(SetP1}2xnk~$&0iN!*QkzO6kia(`A@Q#?efTrW{xv- zzh1c;)ABnsW=Y$!TioluJ4syNpq?GS|AY>@{eJ{u?Ks#Czc$P zP(27b@xpb3`{aq>tvjmk;|{&?7D;(ntQn@EF7?nzS-)^zS_0$5%-Cyh`q*vFmZ#3q ze_xaM@3j1jSo^BSGLfHF{bBgU`B(kap;rgxr)LWB)(K_&{GP!bvP}5QqF+M$qwBa; zwrsl^AHM&-VSSOgZqCm@TlE|H7w(%F$!c@o$rWW=VBoh^)nIE8$HZe5$&A4%E*WBH z%UPdYU%rLOt(-ld#W&6V{I672>EsXb{=`X79Fz4bcM1Ej zo#fZ z4e1*9WM7-9ww!BxzW%|sX0u?%&gF^eI$f$0cL`j-P<8gvz6<~GFvW!~JX|{E&101yQR|qa5A|HRB{)ph_@xD<9#}3Q{z>~N`_eg#25xJnr`t|g z+4o&!(ysdV@#d}`Z4Yh=hSVJByP&?XP+s-a+;=CR>{DP4%5b`P=U$dX=!4+MYdqQk z3wPE1zCOQm-4D(uUF)xhG5c?eiNBlHkQ29{>{bNg3!_pJ7KXLz=(;x*5_Pqjje zubTb(a@$D%n|92U3n`k#o$owu2K}0|Ku}@|6Z?UL4I-;1v+R`6vQ#_v-=xkY7W+}bs}xQ@xiN-4q2PujzW z&pDOZ;M|T){f9X(hVHAc==k)faQ{=y)!|i-O;=^?zp!VfYVgY{!yjDC8T#DiufOM? zv^xK&SDI7LuaCw4&P_+BwN?%PW_@ISu$kfIOLmTs<7f9<>~~MM_|Exszu|%0Q#S(* zXVo<{WIQe5%g;O4uus9NXz8x7FQNXEmF$u`+)rC&K9^1^POZZzZSB z`tv!bbHTqgx`HPB+fnesv*CE4lS<8H>)&S9#Tm zbD3UmW4so_a&4`9Lu`K$|AyJq3wbwuJRwzDELgf-E->5nlx-4SJ62q8y>x9racYSym~!or)U1UPl{Kf|U38aNlQ8GXe%23{Do<3uWO%ssz=cggGnXzm zc@ezimEMt!Ulg4eFA_AhaogMWVfEj4c5jv1-h0fB*}G={gXx=RW$!#R^>f53b*nRO z+U$4OHv|jq$YT{*Jg;hA`pXc5$>t1pXNy-}ozSL#y8p7L*z@h@Ya8~dP5Hl#NB?R@ z$obwAw%eRt?lfJtd^gpl?BijzqKtQ|V(z~GP}^3XvvevyDk1oh0@TSh~w2N4*y*B4?&RUxf+xs3JW7<8%xJ`eP(#H=h%sk1qYZ7M` zaa{9`d(gdRLfo&E*~!{X^JUwnM$E~67M!9sJ#j(hiYo?|?E%ZVb$vtv`-;q-`Xsjp z2Ba(wJ9zS_>E4~Zf$9N278f!&=q>oGVaRc*k~fv>zUE9<@qN`yZ9cb7hPe4Y3!D(S zB4ojt`xjR~0H2PNyRhYWMX8e21EcVNU2)w0X_LfuaZddle1|Q_cYNhH;BMWTk0!*i2mdxfqPiXJ%6bJ$<>$W~*`OOyX998@d0 z{Jv85=Yc0zTA9+aih|B9ugSfUyP#{%m0K3pMX%HvW*vO8M5X?x(T2YY4Rb=yExP~u z!1BjC(hV##(}H~cmN_z5u3T1sZ%$wT(aRrqeva#{5xV>72n-M8kOdM0vxOKV%F z*f}4S`yr*0&yKio^9t+6%*=Rr)P=iTEou(0@WzQN&4qOn)RZ<&b%@L8IFYsFh;!w~ zf3}xz9ylp9ak2owMH2iWWVu5XVP~W7#=}t0%8*V>e#H0}zrrx~AV8Z6BbsMA}R;WepZ#g_u zMauc+QY-JrPa9p9*D{-)p4q;0&ZE2c=9%wzz5PP+W9>!Gqoo^OmR4&A#e8kET&NvZ zZWDWQ`Y~HK)F1O6GWRSxBex=j(^3YX6^3cxq)9)&6Sj zuG)_+&(>E6i}@@&8mXKpy-#oZMdyv@m1PO0vfsERB)?prt^3P-l7`cg&r3fkmU~T!`g~9KqoX8?VB*O` zD<^7&g?wiaP;ffp-^DVKi<`$L;!20W%iC*Z`$OaoA6oaSU0tsxQDg6P)4-D+DSIr! zERP8a@n7Kmxwb9OMgM-|7Bwz~7d1Ux6OPWfzdB>hXOD+mr}P|8zMjX~bA{p12ct$0 zo;g+%j!js~)u(d&BFjn7&A)`+SKaZuQ)2 zG*9L(Yvw=kN7-fe@{`tG+dr3e3ZGED#?QE>DqD zSyC;`d&#eW%!egh%eT!dtJ7=PRNZzncW%>47ho%^Z<=Exko=<^P}F^Vj;xr>zCYkL{lSzh%Eb?A)hc zU-A5ZdAcva=HJTHzK7|w<*H|O3^frKrXA&2H7o6x^wo~87r$d(WRztu6c051Gu82$K|>|m zI^J7785(m9Wde-n&d-~(N$bbVN7fI!zL+rBtx-40XqmOQ!qw!hXWJv!Cl7PI&88Wj z`P2GibK%|UB`liyH5vIL38w{T3vP1@+%B%U^+dPS&Bbo-w2~|jiJ3a{X0_=CDla$t z$^FsYck&mN*GU>ymUqvb>hznY{HC-}&u?A-gXZVg6dycURlzhPy>+s2Z^oOMoQ@7> zd!(!7y26wy7-Mf3v+Qj+%5mEvbIHc%f!@{Af`k9G{wcrH^X%N`3oD*iT4c88 z|2(#Ndymj8ZSf7Bz9I9KjG6DP!%F`Lm?<1SvPh8PG^Yp2NXM2ohSgz+ulj=AhqhMFu_TvoiBV*np>3Rb5 zEuCwgv3=ah_ULn&!1Vmp6{jG{hlPG=;4>6Sn8VkYmtWXZi1%pF(F z>uiN*9bD}=&&gr&`limgH+6pHEc?57VM}=bEVH*)vKRQWE8c3j+%j?E-M4x&Q*JW0 z?3~t-9=v0E$JQNxxA1;m{^{|P`}5ls|9&*}n>N4wO~W_MS$>@gyA3LXV;g-oi%#eF zRL`yd|5W&|wI{-Y{oZx7jX$5ZX&=k#BVp}YS4**Q%(cl*a;L3r5gO4yJ=V&-(W@x$$$9c)@$R>u^mFnyNtJ8)8pUz@8-_a1 zd9Yzo&|wCNgBj;iC9aAD3Q11dQy-nKD66pQ=rQiOOoxBGY@9E1O#e#Tf_YvSxo_|Z zzICzveYSV`M2SEBdC}4PYo4#{oe_4ezS`h*c+n@pv;V_P>aC)!oTuqmSoS7!H1u6e z++faT!5jPG^5Fmn%h^)R)AZLz_AiuLAaB0mK)_+9!`E~a?k8p|FB9eFS*y2i4$GA{ zk8aLCoD*8d@VDikaBAXLTRXkNg}!XPas^NGzMEb+Y`Tu|$;s=#bJ{%;TzPnvufD3g z-^o(w)H^e2XYYq~sjr=ktJb<(%slS?anmRFt_2fA^bX&S`VzSz>8LZiKWCE0&Te6& zH?EGUX5}yY#r)>UDpj=hG=8}1HTluTzT+94Kek#(#G32f%89u#eVxFcc~Z8@?G8x{ zJX`wZ7hDueZ01<-iitP&@+YI%@XN~kuYNgEYHGWRzxYMe1o3B^e#z`yZ|A;l_4z{K z^1dTGir;XH|7==#JR^NakMxc^T?LZ6*Y7(vZ}s|(pI>F)QFs>Sa^^LYkKC2 zYYX#csO?)YG5>94PZ^tU@T4in4({=pej<9EeU|kRvrp?*S%)=B>aTKLpdr5G%ajLV z8h)>=wM`B@V69@aDoSn`mzO!1!*O`Z4cdYrVtA z>#tO4zhrjk65V*Sb5p`j``i;hd<8|7BF=x|S(g9w^XD~Pdc9ni*k+b3b`>+#{1W4r z|LdxP{ltJdxpQh$cjTG}nRxHLH*592D{CSfH~V$C@B4T=EJXUz#x>>@zm6o|`S){! zll}B_0%t!@vM~MP{qFN4w!m2~%zT&Qemfhh77F$Xhb~q(4eYT9IvO+W@KS~iEpDQ@ zof9m=Us>t$eCTReaej@R>i0;#))kIxD|c6QFJJKUk!fAWw8VWXg}UW$POu%*QvJGh zsyVwYOJ!uuMbZ6h5|8S{Ps>+!3;CZ_UoW5Atx*48?9GSJ?E(Aw=4W4fSiHRS$DLYP zyYlGv^XFf&ta;6RHrymTU&pu7a@EeF{Y`cZVUx>dAF>E2@jE*GZ`8sElkE;#iS~X9 z=6QSlMaZH%%MAI1cDk)}-@Rzw^To&IpT1gCCA2+L?&Ic&_!WOEw(q&!R2O{Y)uE?$ zyj4kx_gf}T_KP~XacAJ?AOCD`FN@^3w<De+C6f3)^;-6hA`cdxn2$zM_vU#t^*ecf}LAjd48 z_#4~gJxY&d94#oac=z$yw@!`L`Km8u3Gn!iFu6l%3eMV!zw} zZ=YeZCScE|DRXDDER#C@|Bw8sImx0m=ax3Te|b&+p}{)l?tN7YrX>Ee|9_l8;(f$^ z7O|wr{VfMPSWUt{ZhVK$7Fo>J1*o zPZ^bk3cR?(7+PxLg1)%_2*|nr%g#QdQoyk)s&3C$^HR;E%U#`usdRJUNK1-eaN!|d8ks~$%P=Ci-?`<;C7{KILD>us53bk{SyKGD51;6o;FlI$^?>bMzhl>rOi zsBUu9j_dJUZtB37w0+V_+XU|gMpwT%gjIjCys+bX+2L?+3vTZRjjFPjqCRb9TK+*Y zkKO2PZ6nj~$<6GF9G&xT_O5ci?Wlj_y@5dDR-2b<91|~3iaz~`*GcU-pOc<+-MKH- z;;H=?oz-=6w75?#UXi+_aiR9aMR!t`Wnbjm$o5a*$oBR=({&B@d=DzWRIrP1nQZIU zC~=Z?;*xk&wvgoa)X87QeG)9rn%fJp9LH)%&oJZ!0e}JdA5SoAJTVbxOvU(7S7-z0F@Q zV2jjC|8{C#q@2?q{(rNNMJ2ynH}^`!>5o?=-)()We&qj)s&C9fM*F1xX5JN5etm1& zMlBWbO;^n_a^j!qo$lePxoaINU2*wzPY}z09{*KMzh_zYl`UO0vu)J^w{$(7#cyh# zDIS@>DotwDB&j8qn|SURpY`vs554*HO1xNT>&fVHpQW$uj%Nv|A6>0`;YQ23$dK%L zv$89)-klCEnz#3OMmU&vZ_@H7UyAA#|Jj&c|8QlGs{cvP>;IhoRG!k){>@bJ>N)5{ z>bwZUt681(jF%$#v)B7A-5(j7cFputumbnQBV9j#{x@fMVtM$g+Y0WQ<}VLdPGVh9 zxgtd+cCnRou(8>yVu45JJ$$EaJL9p-EW1qq`Q^DnVvo*x2=5llo_@?Dv+QAu$g?0gp`Cu-aFJ#r6cQlbKPH**{VL*S>Kzn&bnJAJ`kGrX>5P1F|n!L9i@XOSpZ!igWV+$NMgc3OQ=@7(J8ySDC;arN^O zTUo@J6Mi}@Ua?){j6u;d)1oWI=W{w9y`Rqh!tuvyfA#~B!xGRDF#W$Dtor1`St0i7 zt3+67`xzr^-q??m)k3d38s{0`EGU$nelR9??wKW;yIa1zv+Z;~u&FCo|7Tvuf>$27O4nAe`L&Ut-Nrs13yO;EEU27`ku5vHu zB}aVJD3!!y}5e75_=lWVueUo=k1 zcaL%3abEL(sOz%Txh(S}C*00CX5e7!bQ#xlCzt@(mxvzJ}<#Xt*+v}d1oqbr< z_9n;Q$2!p3=Cz`p_i53uGfq@amRo$a+W)nFrrV*?pa*61#TQ+=%3`%qC1B^m)jto5 zu~=D(GTEB`xcS-a&Kt4)1)ZuBEKFkablZd8CcQA+Sjy@!p~}x>jh*J*Pr|yt_}dgk zRx!qQJT*AhJtgaE_7zq8_a4&j?ibglvgny#5uMYZH7V@Ng;HtVBM&EW2ev&9?lqqo zRV8f6eD+TwcmAa(GXf_)TKeO{k~xvjtgcK|o2_G%HEoYaxYLBs$70%c3OQXqTB=l5 zIQK+sjPA!(8FyZp-I9K5%zG<+TE_IrGtS6wbNKDk{B5TAt*1{^t}k4dF+cNyU9sEl zIaN=L&WOG}C9*h8w{_1Sy)$z2D&qC^m-B^Yel@)Nxb#gxK^ouG6t$Q*fmvtofB3Gv zIk?p8;Q5ZQpo7yp=WstUo|C2N=5@BnDsS#WLEq*DSqiIHD4Ruxz128U$(W;YLa^E5 zcffBWrL`^J3K(kS?kzUt(ULZ3^_+Blwy|?z8vo7BJKlzTx*xd5!sW@8+d7YW8p2z2 z+6l|Dbclu3!Fn{6!22P&3L&27E3`#A(Pu(k8@y_gN!I$d~XJj4wFTna@_0g{p zVRP4JXLE0_@%cNiAkKNcYDs(Z{2!ux&67eomdbzFe6rp1N9{zuHb$vg{0;t}8Yg{x z?7N~R|Aykz2mR{~`-FI}xAtW>x4J4i{fp`;3+rUw!gWS2fysw-l@IoOFwT;mwK|7m zSK$-=6+3H>NTuw%D}FF0z2|P8)!d!4epZTpN|)T55PI_^+o^?L#Z`>;!ge^G3{E{3 zCET&!)gq9!`0B^z4>obuCiZ2mp%YvATVJXqpHgkUIyuqjI8@`L9EUG^Ngbr@3$*+Pvx#Q?mb%|Cj4h=$B`1tNg*7$S1L|x zuJ_8+HK=gemG!~!SGxy`d;W22@iw+N#vb9YqUB-Di`erNTi4z=vG|}Id)dudaTX`a z4QKhywr$LHF`9FO-{`CD`^Cpix=Tdu_Qt*Up5?N0jxO`QNw@a!JKc~#bm(? z)A{~M+PC~kW9UgrcwjZ<)x5r_-GowEnUa|v{<3H^W6PpldI*6?*-leYT@y;z39Js-ix&Y3P}zftXi9oTCNpa)pCeI zUhwHo-eZiid5vxN{`^&4J%4`nv7e`F)&|dd@x|6nnFl@URix76!yeQiM3wZe|za_xvTrXFMfS)P4$X`_aT{CpQi+8-evbb zH#dCOwPWYco}911zgDVgfduHZGL4^cduwey?aAsYx=IE*6#5tUSWls)(Kxbr)ws0awDUimFE5h_b#6Pd7zFdV#$MK z@pWmPp%)BxvGFd8(tKxdt?`)Fp@aehhPG%{DK^P%AKMtT1#Q(us^)P2mEo&Y`qrY& zG{wAP-^K?163+#_E1u0_n7T;KFgifa_{Yvg0sW4eYbMpsV=Z`~a5{d|tvu<_E?JJlwSbJ>f@JT4c05G!k8)FUK&SQC9DZDK!Y>5* z^b?*Gc7*hOvUFJ$ckHbIXS%-pvB&eve!R$Q)e`9YIk(L#`m9~!r60!*m^HsHNb7Ip zdwSC^_sZmbHE))_nmhlG=VP{|0&y!hc0Twj<1Xb?H+9|Wm~UMlB2Nl)mn)@TdTqa= zT-`U#=4nh^!_13M*Hrvv|Jq}hDN(C&p7+d)TdjXx++Ua}+w$|Pr5}H7D=S*&`bJoG zI&4+xWp6q4^Jc!{U7q1mLEEKP?GRlQ^f~14vtVws>Bcv| z%3s<16Uy6s3C!D)SZuU&PlMnWGd5XYRjYE@S8MJ$fBcat&+_yA$IoH5qM0#v$Agvl zk_xXsY%_K+our;RX`9S+pU6dG6K^>v|cR;NiVbbgDXw+pYe@rZ#Q( zd@?k3!DY92@5y@<#ZwBTPfQFDQ~TMrKT+q^n(eak9VO?S(w#4EjPlw0;?^CuBDVB} zn=fuW$LQ}@@6Ka=GNwjvuZUjLl@j)jZMT2y?2w-}|9#KK7e0Jp3O7Coa+LZ1|M%Sf z|8s^3DMw|#J@TnJ#BRA|le=p7(KjoPSgG?rJj@!YE1;7k(X;18%%>g6kNH{OT-g{Q z-I!VuraZ$drGSUcGRx-sHm3bdKLi+_2`ahXR7j6<;O*NJ?P<))o_Aobc{P`D;a0=% z9N|wlIp;CoJ#=;1ZVTSI6^-v2XWxmqle-}Lf!ThxJa)BSxyRdfrrtR=?^{EfT{-9N zoTZYB%|6(8`bu4Y@pcFIgt)`och>$mb~iYH;eu}6=4lx`4|d!Z$kK>s-v0TR9zXBy z6KB~{_!iFIYLWaVt@Y+Q?;DZxmp@(q(XUuLTXDYQ)Acp!$5+Of`2BY*JNBufy}P?> za^Vu|tYar9^c`q;&mrHq((Xi6;n9>YVu82jOBM_`G>9i zzZWtbvs4OL@#{-oZH8%mk9Vxp(e733>uVl-jOpQB5m5W^a8=38>?I+4e;LhZ;!rR6 z`FM`Wd2NSXKONs(TVVR*QTtbqhU06$+6G^{Z>@KH^WM1bkQZNXh2EHDpZGjcW4rn8 z#>W#DczE7$YvE~NG-#de=J+P|$nD$-;wrlp1h1AeMOLe?vok2Vr0FEmB&@{aw+Xn~_YX7HDl+m%i%O^0xEYo3gtOgnjYSWmsMPh3LIY~kALpNyuin)S&j zWUpw`j@<{dI655*tsQ+cCAFH5Dpeo7(Qq*NU2nYO^5!`rR-2Zjc8XZUeGy$!xboWs z>1*Oz=}8MGNCr#}`|7pIYfIbt==R9Nzn-b^YE(pCJJ`LdX4S*b*AAZkaHwheVY&M6 znFpL}zZ`n2yXs;BUwjP9%SYm6$(I;*cK1c|RY}~=zhQKxUH6Szqm;$76-OQW^fDUF zBzPS5tax_-a8l(+p<=2r`#)0Q0kK2N{*(FLl_hdNaEZJBai#{@~N#@ON|8d)Wli8oPcg!=^ypn30 zf6eGS(<9c4=iWRjco}jdfse0o$MlR`m2+~ovvuA`HOBj{iawqy-n4tsJw>+fLTh;s zz2(g++7si=>~+fM#9k5ho34WM9yDKLJGm<3fo9Yr`5WfOzOJu=)L8erpR;@W{Y9a+ zZJ@ce>y~Oa!S%PAA}q9KZwUMgZqBR`%5_HJ+fJFUV>rL1FduS9^DYg|NXCY z`h(Z+c7K2Gt2;^k%m4oO_c!Oxdbt0oVb`~L-(D!s%+NZle67Vwy5obDL=)?&i>Fsz zH46z>Gw)ygD(y<-Q%jAhR#qvcON=in*>6-{skHmr8@B@8vdKB&tJ5J-Oc^UmuIJ5zBH~9jl0TIHsQ$AJd4Z=hbuMDm;VFrTNht3Z)$6Q z|3_x#=2wcT%fjZ^qy)}5ZOa)UTlCiQgH7_OI_?kGb-F$On$2PHFsh9T;Ed&E(0t>x zWT^(1R*fi&?$hS)@6VqHZ4lQ)L4&NdQP zcRD5WdCzZ)+ltqJioC1vczAwc;r8yMZ-s0pU)HytX?)=H;^~nKck=(+IIXw-&?2@2 z0W$^e9NYY)VE(!fweDppraf2h8Q%R`IMs5>6wOt_-%h`n>d?!>ejww9t99oBucfb+ zJa%2m=ektxO6>euVm~#f{M~eE$&s7kKQgv|Oq(pS#oYep(PeL^9oe6zef~lBpPshG z@ve~(wKw~{w=~HAQL(!BX`|;aq1>get9awjHx_T!(aresME|M@qx|d*3>Qo-yc56otWK3-knc?C zd!|&!u;)Y8B%29+N-na8?M_5Csh;G}uqM{Ge6t9y0ze87GKCTlUuK1LSrvgE$N_))%H!7f#-1 z&3pfS-~y?qmIb|smE>k?Yeg+I_j_@-(aX+b&n~6#Jf(=E>%I22_xHb#-~31Qlv(AD z>P2xc!j2qRd7&cOBZHY$JZfKRret>0xvZu9H-3jNZaE#T=e&|DyzN77UA2vt-J-4^ zKPRo6YAEqkM|;QBsud~88=BhGcdv*&`jh#SLgew3Ux{Cr%AJ3LkmadfBRZt!l}k z83{*wUa^{Nbq$jXusnEjM`)->O-qHrkr!tqAFox zmP)gQ@iHs!86S3C+_5BR zsV9s})K#<;K*{}SU*FS;+^##He{WwyGqA=c-p3(5mM?-ko)j<=d+@=LTST0tP8%szbRf6 zTR!=yej=+N%e1p*wKrNk4a6TBZt5|4x9E*wm4(lNz{Y2WevkgVd=gmvf7_nDtqICZ z=~r4L{1Zi`FX(fw{`*gN$KI)5?Szq|F6FE(@W!w zPgw5Zb@LDZS|;+#bI+HSWu*reMD^XCc>1-b*PCNDGtVbfXb63(IMd+mX>^nK41=~b zL(qYzOXg~bwJe_!U+NlbzT)vkrL{gEO~myony)V_OOjgSYwBY6RlUek{bcqY`-%Sb zDoXzw^w(die_!yg^rMKHhTYE-wf7QAre~GydFWf3(*IoVKyiA0Td?xm+uW%Kt55Ph z=nAt|Hw?Ap)SvU}PAk7#y3}#T6uVnO`?Wq_EZnpIvBg}G6T){}d?$D09Fp4RFYMr)ZoSwP0q?7th9PkN=*0vm>){Ia>E*6MT7lRmn{pFVTkcenLf zUHcrDuf`(Xs-F(Vmwms;ReN7%{m)-U9Nn(*>CYB?4(NK~QW(7RSJTy5y^Wt31k$$# z=1w@d=;xH0tD^hdTlM?R9=mO~EqGhDC)aUzMv&F>B(LX89xqGEM7Tq{mTzAYrk7rL zN9KYte*{B;zKG<)4{t9r8eDq#Nz>#`$;*(C|C)tgDqqZ=U-J6)66Sr|~8;asxwAQ)%KJsrq-` zOse1dW^mj|u4O%6bzO^R$@)$%=B`UTXRoZ#u8}*iV%GPXZl}jLe>0tkOfx=TxYE=_ zG-fS3kGan5_7z%{JExjxZj}ws@4n{AAu_QeljFlbUEzmyU;j@#b6WA(^vd&Rvr4xm zawu@*O?@H9u!%>oB~qdLbv8#K>n712Q^OA77GK8>?wZ*qKU-(0?Ps|3{|Xh;r}itrn*Iu)jLws%S;=Zt!x&^FqQnh&iU)x z_O93j`)d}CuI1U~+m~inzSUjJt!`nLs$Mbg*nw=WFHA4GUmmo(_F>Q4gq0Z!q~w&; z{7wqaQRb+~_3)X|>c)F0Cf)i%qh!TZ?cKdbZ*Tckl&}5u`(a?$#7kdae&QBLv9W2* zIJeV0`Rm6X?Uh@uoVYu!nt!=M!%?N_v(Eq8G^y{xl!=csK22@8G$VmjvnI> zsjgd*J?WR`&Q1NZ%APPi;rajV(5_;}QPZ+1NHoSG#kEgI4X9zL;FRtWbS(-<{4m-|xpol)rnj z!`@ey;vif-YCW7d=QcFYaFwQIM{h7Z3sJ%7n)aA98m!i#--P9J{K zQ9FL{dg6gi9p2fpH}1r?TzB8f@jAPQ&63Yt>Y=On zw31cs@#3v2ag|}>3Rib+-_M;n;o&hKg}PNsZgjo7v7DiDPan@JuLoa+FS81U=N7Kc zKKduQM$i2E;~G74bNwgfJ0<&<2dvOL{b^I|`d8PIW7fYi(|=SRT3%vobu;0$hU?V-m(R2C?R|P`(~(6MUn7DirY>g4o%%E))PtShe)5hN84?`A#Rq>>$?>v2?lkv2 z^6UQBjM+^e*#vJjeKd@4kmemUI3)SH|p#iVS=Di1#qB8UO35J4d9I4euFz zpBMUhLh9$p#SHOE($@=Fb;HhemuXLq>o3rrd~Z)n>dX?G1zd6&fAivI)E@ot>+(0z z!?W9?!+7NHYD})|J14w6ZoN1Dz)^67qEqfR`Z`Iqm>lIitW(oDLGJWK^eZO_-odYi}T>sVTedX%oFH`Gyn?+0O zvPC*p*)RRw_IzP>-KEmfx~r>s+t?(h3pw#2FDfr8fGbqs%%c>Wkq@@_C-Si!@vt&a4NyEJ$K$?dQQp>*p-XDt6)&uGyKklQVXDxLjeFcK zx^c6oY9CZu`kVWVv6p;9Dj$PnS1eb#NG>pG4ZMU3YF;a zPp9Pzm` z{M%o>i7n1<@%ueBM}A!Y8L1JfT&3e-ZSZM=!jX%?nkEOFm~~1RI40_6{_;w)ef#b2 zYrTUPuM1BKWSK3#hxyMx*?cxzH)}y2X9=E=qw^(XuV3%~wA^D?^_SvVHIDM~m;4ok zA|Bm0=(zakWJ9;oos!y99O~1=9?EaDS}*dkuXLrZdd?#O$)jdnvzXpKd#9))H%~|H zef;Z9IlIEu?HBiVmEOLjB6UT7{p<%mvv+ErH8`w$`>*`PcXoHvvw!gI&RBZ*n3rIJ z;K^muDLxU0XB2GgoqAbLVGA4o!@9pNzV8jsO;|Y5{OJ5Y(|_$`e!$qn`u&GU)?I(i ze=laqJe|OvFiZdF;`>Ya{SUHLHpOmHDm?S}clj5NFGlb0Uwh&HDf8EiPnxFOckant zQ=M_gVOI7TSS#;lzsebx=Z9sSoU$~(NzU%=`~6ew z9)8vIn)V~zkJm0gv-Z7ckxkTm`Lxwfwa%IID6Q(B;wi%~=@d8j=t5@R!|D}kfg9Q$ z?Jk-&;poGc906y!QgzLozSVrjTx@%*1c#F z7tCG!dB@kPim)Wx54B%9yn9O@HTNESZlG-|vFOkbztaqg#xjjNw@8@rv!15XUYchzoiaq-je0KmczD7 zdR^@6pv#SImmU8;e>M5xH`AKK=Gyk=lVaXYaI<*1_x0<G+t}mA%fE^!NeXS$ogl8+|LUSq!-^1w=A>q)J(6Zt2hMJ| zeA#YImYT@&@0;DeEc5x zt-ZWd!n?w2f(%nriy&{A=gGe;?3{Kc`w!emP&vx>WOme!GRx?j=@t@_YbN;QrWk11 z`aP|wI9R7waOD_l-=CNVE1n$dQmdS}c186S#?t<%fbT0zzMOhixl`97TJKXx%<%LHhFk)3F|U%>G;KSWfUR^H*2h z|L#LD)1DX3+{ZcfZ2wC95!=UV|M2A;9tOutx3)|*DRY!k^Vr(q{c_RdQ&9_BUp$dt zlptQWGIayjHcQdcBBQRV2d=xEChN+JCD|Hlxp!&U_iri54w}3|qbyy{UVp)K$>!+G zAzr&by<2>G9qZ}>*$0muZQgGee!8Xq*N3-lysK{QeJ&xtr}}!vp1UUiw>xyji5wUoJ> zl=*F4ZBMQxrp7l;MSQrds~X6wXs`HJC%j~P3r?)5W7?_Rv{$(3>yl&K`&NmpJI$rv6JqGe zygw|`Bdo$QC&{8L(a)mcz1pev$qN?hzgL*Q(Oaed=f~;)^PG3?jcqP+)^k6$(m6k^ zTiN)>J8o%t`L7zA{dWbixAJ%#iH=iZ^Y%|-cYeVb=8^wbZo7EGR z*D*6|aaxy$3&*w}ed)2Di>fqko;{Onl6otkW3|fX^A(?(Uac0a{ol5qe`n6WmPb-d z(_c+gIjy14FTtQBxu;ZXx>8Tq9r26u5B2<%Y6Pv0pJgm$wyP=r%gGv`(b2{Ir3ZW= z#=3&*2SOz-{7zoIX`WiQ>F->|{C#Z?UM~DvyXZ=_&*8+P!y)T`EL`y;O1QUTjg}8b z#2p3+J9=qU_zyGik2AM-3lTcZRDR zW~x3`@pX^C+1It=U;f)Lb~3zuoAJ5JBiiNDsWd*-6^jg;{%lm13ocQcyws)Vl;4LH zI)|^^I%ufPJj-P5iDf}y%QkQx+^n%>{h}b7qdzD8Sra`uB4%IW)Wf1ti!`q}>6v}2 z`(excr)B}i^R+QaE2qwxwSAvU4VU@1#Tt9u7MkC)tvb~G>D2>m!N7~*Hx^&>o5Zy1 zr{$Vpw~PKsZW$kE@zp)bJSi2S7b}u7p)f>5Tu1ckmk#B1Hd8c(4haaCscLGjJh9)F zuPIJxRhh^{a5-1o1s|1Xj! zKmDN)f8cDD`cIs*4|N!`Zd}K@Z*fn2L)paR{Jc(^j02a5TDlpSce$tEOgBnGSe@s%HV)JXUhj8N?7gb-YxUzq{s{1zW`SM>JZv-OD7HGv)Kf1c_+so3~VE9v2#&wTn^9Kx+jvifJX zsvWqxUT&TPFUw>pvq_;UGu(vOI^?yMDIaaj$;i7^7F%OF^R$7aT;b)k(!PZ~u_fjK z^SEArky~OuuSLpRylv5%#Gj|-TVIvPU)O&5t3v)(t`MIXFWc7oxK_Qnv2%R7M8tT@ z6%NdJ&nhGK_RyQPmp3ad6X3XKaQJxZoh6kaaZHG1JGSLO;KaP} zgTZ^aPkdLKul8PY%6m(Oc_;3cTHHz2WPEetVbD(Xzdix}Szo5`-&U;q(HRojmD#xT zw?_5MfQvSKRFsLmisy5`@g*o%^$S8o?J-Im0z85|Geszz!x%)7n%3g zA8kK*-u2IhKQ+g_EH1?ve&4h@+`)+dA@X4v z3ZAa#ari8_v^)CIrj$LZ?-X{k?b&p0$tCGB-c6G<52w4l%iDhU-S?!Y+OL&D3omZ6 z%$96BBmXV3?O*uSBBk1z9{EL2|JvPK=fba0#k765x6_7oR?CaJHRd@Nx`~#52($@b zbJ(=(SV#B8UD929tM`6i5^~ym&b#8Jc0!gZ$K(%g=YHNL=4g{xIMvlV?`OgH&-?$i z&5>LwEg@bRut<5qD}Jr7%KD<>XL%J(ZvU8mHHPhKOxX9?!2S^B1|u+ z%1S@g7criiz*9 zs`l&7n5?|L&#AuZBj;Z2vUig24o+n;tm5CuerfHdJgqZ1U*gVBz41%g>@@TG;^$^> zABH(wR0R5*XUxmj+1buJ%^>RS+Br8W^0s}P@ojpJ*qiO<3mUx}uXFCy;`2h*_c%XD}TykiqRqNAQ9zlFPY;v&hTKb5yn7P>F`%GV-&okik| zDH|>|wU*6P?>`c$xLvqw@&cFh3>6IJy!*B?7+T&o2b*tD@-WHgKgiXJe)BSD27nb`b z*AHdOitf93DL6$|*RfJ8{!(>m=fw>H%kMs%t;=7y!Yk`V{rzPj57j*5r_Z-P$o0q4 zH_Y%`%EN7o(_g=CnsDk``77q-1-p;tzb<(6GlR5#{b?pPxEtNPOi!=&g~k0S?j z946o2bpH42eK*o4RvlU|!&)$9f`9rJ*-iO(^;UMBi2n(g|s zH$n4d>SO(<9oOYj_;^li!n622$M_vgO=ia|SB&u3-&1@s(OM@)o0Wv@q4m9{qpJUufNfo+zc3n7q)FTQ*Tr=ddbAp<#Vz`Pet0BafP)SPlrRc z)1IsC;%aOOJgx}>!7A1R0@TK6ycg96iW0EwFiaBid zb3U(o{pgRK-ZIa$z4rzQe0NK)4VK`tKT)Flv1DRMW6X!#J-=q^GB{ZC?3%Mh+0LQA zaos$pz@8SN4Uewc9xGzi>-ae#FkxkWWJKcZ_6;#RX3UA6Y#qH{$-hfKcdubK!={WM zoiQI5+&%SiqlxFKUn_r2OX=Lu^|@WdI@PFab^FF!_R7!aTwl%kWTX6dNxS4niT-iE zq9NuNj=w+sefpamOWD_9Tb|ze@NrSy*0-Cs9;y`+Eb`cW<9SVyk9&7TFzc*W(xFkI z?-aiTIJKD_(3;=BKzX}lXwIT7cg{E5J8HzerNwwU(<=U*l52ujZQ5|?o7s=am$(*+ z7eDTB-XD9@V8%Rw$*UK7eh_+Y$@PDK%WDPYc9$Q0{43WsYlzsUw@XZvad zuxjeFbGCh|oYQUFI&N_})mtr%&7;*0lZdP9K+~8)1+2u;tbZOy-deiJ%IIB0uY?VCrIOfRW zmkWN0Jk(&Cv_8K<@N`S8 z({`?JmWPrTw%8Rm?JjB8pV;~3oQ>O^lEMn7b=54%ypQ|(zUbI`eC7T1S#i$NiI$(X zm}d7sdJ(+ky5=v9Ii8LS*37M(=b|+EU#`?FVBPHMNWEE!ouXlf7@_S+?s}qpN3SEp7ES3r}l5 zAvinjw9xk2UzH7W)sNiuDVk#_8>!1P^{n8pj}6~nzFKR)c@vA@jQqtfB6F3#8ZM|w zKlAU{+dvjbW@i4;{rqcE#^2+N3SFP0Wlspt6>Te+w{L>B zw7$x&!=ZMCP69WV>Nv*LIUT9o%2;%q`EOmnnDU>*#{E(=OL^91RBaEv`tyjoZj66U z=iIpyuRYqs(E4;i=r(h;W9=>d9h1)3J-M=vEywbV7$1{>Zv1bVrRQ&VJeYk*dOv@$ z`Vtc+BmNKf*$z10NO@2W3yX<3W@{!%&Y{kUw%)13V5+h_C7CtnR%1un0A6qU_ zw_hRVV^{LKhg+Q+c6`0vxMkJrNgPUSiDeZ*+oCe(Yo=!$$<;9w$X__?%vHAx!94S% zqTA;bhu3Yse#s}vB8FwXUe3aK z`8&NEk7u~=n>}?}xTK=~#cqx?-HwE3&McdSmW!rTHp;0Pe>R&rv;U+9ci*=>Bfcfy zv`inqelsZzblX_KiL3fIAIDBww&=`%fmeY$X1tCuyT0X=z#@IO%SIWptR63mSkIUx zNxWH5VW@aCV^cx%=|H=*_xD#FG8O1Kr(9C#G%2|-MRnR6r}>sAD%L+qN?q#~QSNna zvwZBqUKhaHyMI-1mpM_~HGn z{YUlp=+-?<{-~Uqx-?n1^4F@&Jvui<{xKLHzJ0W2pH5ItwDa8D-aM7tPW~<*O`tL3?(8HX}bY;Rok z-guqaF8F`N@-?g}9y62w>4Zonoe#Ql>bBcM@A$VS3&aFAEoz*kWl`KMw)3W2|I^%v zo$-e}Lfww$T11O7r)N!7zQ6yS(4NySx79iXEJXaZHmmsiE?(rvs@1EtM|c;!is3o1Kyx+IK4`GSWH!+=T4fA3Wb5 z^gKLhad`2Z7n%jf0-p4E$y%MB-py^%Ct}gu*Yfqcbo!j$LqC2dTO2-BryvYOuvzH#m?;Tc9j#p;>TaC-C5nY-2H{m`Eyr1(vHk;;(r<}S$5ks=I@S)b4uUY z%}8}li*fF8{r2zc$G}(0_EM$iI(4J3ahZLr-tsg`G0%Ql;x8-j@8?hVA5PowdGVB^ zT1&M9&#KpLpCkP2mHA56Prqf`BTW~D+(?=s`Tp%x*&=2m-W?_7m7hCeEG9WBU9JBp z5;$!;XJLJ8O}CNPg%5u}8&^kj#@B}(UTfMK|M4p4zKW+teJzKWn2$(FEsFjqda$HG zjicCgdTd|H_HM4-)$ilJp5Uv`xptP*`fl_j^UTx-y{Xf0UU{!1?YKi?ddU;t?-PFX zhFi*S6s}y8toyp+q4tcaYcwiuDyN9OVeH(q(%Npa@7>9VxYqMrJvp&eZfm;xw#P>= zD>v`+FPZh7Gb-O{VP=iZ(w33YzsiMBqL zQ?=#SE2Q(6sZIWB;yP_znBBazAo=~lj~>l`?7L|4G!?6l3Kuqf#>r?tFaaC~d%2PL4!=5cWp{IX0Z-*+*9e7(hw=;R6BH!1umEGbw z?lN7sKew%4q{jE--JYY_KZM&K{oC_SyQg}O?fWA8wX1fEyZYUg{ajJob4BuQEZ50- z$IU-oi;>$m?Yrm)^9Lr@3~gSw3;G`K%*%Oy|Ju`tOQmZ&#9kk=k;y0NE@~sy!nsgk>&Z5FYN1z2y&T!XIXa4YCg_?O@E>UyUY?oWnLdB z-w--w<&~u;IsR#S+0E)b&s?Y_(OVH8|0y^muJ=#BRr_Pqewp(4!o7`nA7F>ADL90(UcU4iL%<=6D z?rL$SR2uIW-DZ2Nt48Fq_R7zJYuu)V+FCwdc=+o5g?HW`xZimHy#%wTRKr~U2F0Lx zZBH%CLY-Y1|NQPZdBC(uD(B!rubcvz`%E#mUxhC3$g0fWvH08KJ5Rr~FE=<>mU!r{ zfA~Ar)pw<@Kj`+$_W2zY>VLp|`^RZF86?yguO#Yl2VLSckA8SKa?X;;6OwOLsjNO* z9F;#W=EAju##KxUjTSUqNKxUfo$ydUh|4D7Oq9@N&-F9c-v~{b&dw%bTjl5@8~Cex zvQ0Yok#94iKa1ol8|rROKC)=)Iqh}v_qfyM&o5wKrp&Nywf=^#c^8vfUpuZ~vz@;A z^Z%o(m;<}&^PaGUFh1FyvWu<3gYEC!Q%lnVx?0XE)I_@8UXpX)Ny_Co;CoM$*>qHkEA;j;u9a_u`GfTpNxV3R9gp6IabC za<}Mo%o2YzV@ZBf0C$O&@W&P5e^s(2;zU&AFSJihz5k_QcaQ4Sk1?CCs<_++->v0m zyph}dV$IZV5wCy#JZl&sett<^zub1e=RuWUCb+uJ=;Rm66+IDlC1={CO$OkF_v)6) ztL6(nkW?{EoqwOLp=A2si1Y3ixi=?inLd%+VVfkEd%<{-j?0lv#}&@1O*RjlTeWmJL$dR#m;>9OZPl-$H*b}t*Ohxt;s zWpb~dkruwZg3IrtqO)Gc%y->>%O4+p~2sH~zvMPcMtk*m=9{cMPAy$K|i| zzkkg8nR&Lhf%W&5v*(vee&v6%|3nB&hSrPp7pvL6%w;>^Jm*gAYW1C!wkDy1zqjl; zanCIA!@s|+B^s`N`rX`nx&>_7BX^uTedE@7oIrADE0Zodewdx z!#J%o0(1YgKA$Y#Vrcbm)^jKJFu^t-zJw``ic7dfHheX!FWV4T8gc2nvu5g={YxTa zbtPA>xzpa4!?EPw6#jaRQzBbAB&M|0@yhVoa*DeM?Rn~9Se3f8>iE4sHxGI}T(Ivw z`=*I5huNnovVOMA_WSXlIl!BlMTCKYfrG)I+}a^o;N`JjI~f?XC-X9hFvu_@m1gFo z=(`mqIwuA@CFW)8RpjP`hHx@4d#_dUcV4UHUs}Pfd19BJ=HCK{e7w7;jdHrwM0)%DSFo9<5oP$PsmZ=0fWL~r~8vXE|5PV|Da!X zKZ62;Rl{5H34E8%dac!BsbwyBv-R82yWjs^{{Q*6)`x8tet$Inytj}2`|+^99H08d zEBw#@|6N}H`}+QW4?n8E|Npc7|F`8P$0~Xbss6nFRmqL>+n<;9|1~9Re-xPRl3H7T zs_qkiz1RPT{txYIjwX5?d0_uH_6L9cER~yA>%BkdJAS=n>~-nUsrwuMdw#aJb@#kH zKgs6rx0tD4#OM6`^z*@`{W$?M!q(SuEwA`yn78Zg^RusB|M`%AReqxR%Dboi10O6d z__8xKBlMX5#Vpwx-hfRjyppExi(UNcs^L5rZJS?ZcfV%ne*SR&$nDue|5ai?f)`!?e&k@X|sqWqjhgdqpew}y{cR_@0=xa)wAsX%F4!yemcL={=2it z3-4dQy6S(i%T)PXFYHKq)62Z)>$ctRU0C>p^IeahPuk*j>8`b!!)ngo*5_oEgm%jP zoiEk-=X9Hg@|F?@rT)+&FPb35lR zi=QW5_x8rwjk622YFs&&>Kw9G)vAtl*>xl%OmFc?NiI%#zrt6coW`ADY@VOfwpgrt z{`AGgi;EW@7rvOxtX=eMkxbe&(X*#g*LeJ#V4PgPredvV|FIdT-s`FyRk>0pJ<;Bz zvG#XZvyNh0;LAq`_r6^5N}y`#zqSL@-?6Zjs z;x-6|9Xx+f;9}Xo3z-f)e^aV$)xA8|I(zP(TsB98H~j@i`TJs~W+u54(Qo&)%Ne>e z#UuzA<&_vot-4_08T8ol#U-7_>v@7dK7DLo*zhVnpo5J^^7>@9^ya0D>u&UH;{U$r z^c-*cJsvX&nkdM?hEto-f5 zym&|4i?_#S$uRG2Ue~ae6p1r9!cAi#Mq)F)X>=pTI4X-RZ z%3u;X$HaQ&p=Zb5K0Ut6eR0bAGg6YjQn~J?Z4U9=vHAGR6F0QI1eU$}`NLM?lt)9t zfu}F39UDWncs*AX&)#SLN$4D7N=9??gq;lR`xsq{WBL9b*{RA|@I>gG;_i~5#VIO2 zRv*%gS+4IfVc^f`&id9_oVDUt)h3mPL1+8;^ycs#kc>(dyC8N|=H1MMM(f$kwp)Ft zcy(Uwzr1VRr1yd>`O2T#mrWPYFplc2eUzFzX>tCfE9^=w_k0$fe!Tg$=;zR~DaH#* z9(jd&v}sh;8Gn7hzMPw-)Tz_gd077l-ZETjGAHo_|MLuf`HQ#Ana^8P z%vR6X%9MEA@`1Y1CU@7H3wYNQ#>`e|WKQ47^z4q7(+`L6pvlK|pS0gO;8oaCyi-;> z#!T8_Z*Hp4g{fDbB+piAWS>1ZCs^9LZ&zrjJm*R6dB09R@{qRXn{##jpKlGlvPRCQ zrLCoG@1$_|@XF7r*Ur7@*V^M4t@=5_gz?VaY)un&1(wyPS6D7vyUc^>;yLNk8@9}E z%63h8H6e6*V6pO9hi@0t?iaQ?F}oJAJ+nMlxX0?)I##Ql?f356Z`!?m^@cYd%XX~3 zYkhWt*{vFTdb9FUZqhC^73mPWyg##`T*xB>M$<(w^&E-Qbhomi11FW$h`Y zlsT>nQS)=kM1`ZI_+#Vd70Ud6S@@}^riuUWKKsw=FFZ`OdY-YVAILrF_Ul)QjZf{| z=P!IN2>MK@^q6%Zzx_VD)5cvqlFtLVE}v^Gd11@^WmV+_g$t`rPxz?#aKYYR3BB@~ zdb756O)9Af-Ru{9%2Phy-Fm63{p*GQId5g^+M3u;blr1ZCATnMbz6||4U7L*BM&G? zINUxT%z1Xk6Gg2^Nuz(OWme2(e*K`D?L%mBg6ero&4pqw4xCyLw*G47`I!MGvmRbo zeCGJHDp9r0g1zL>FJ4v8xi9(VSIVw6XY6uc?fb~T@4~6e%JWyOI{T$`&l^LVZxXW0 zd_r0B@68nQd2_GxlzGFWRN-?c|EFK#uv)Q2l|@`UAn{yT0?R+4OG@Xw5@gL*(($8EO~ox zwzy`RhVNfX1>K^zVH$G+nWapv3p1Fu$aeGG{SYdmu-QeCF>|}!!vocJ4??4ty*RdJ z5yMPYE`zkUnO^D*Z!ElczwF{Pn03h_-C&;bzuKne2A`b&e#&zb^=B{G#2jJcv|CM^ zH@(W{-d=yfjkYOYM5dZpthTke{kP+C#rIk>?uM+Kk4a6v)1F%_kl6C}C3D-edFS|- z*E#7VHyvYqH(w)5;e2kWq5GTtTIa8vlSzAGsI}7Y#67k!ifP1NYGvXjq@Ie+*X>DU-Vq%OJpR=5$!3L(pT@U zXuGjI@PR>SmC)J`8JiAd*#1)cut!8he|F!hM-^Y}I*;dF3G9eWt%&QGX=ZTG?Dd@+ z{0n}id2@U!+$H+tFw68a--Ycfb~K-RmMyZG+4yyv^_*?OlUM~NZ&hw;z4`ptDV5Z%LtjTr-nL_U^>nD`itUj$_rnAlQSAY}uino1?SM1An2VE_E zD8&1=lZ|(BhDdE{O~r~dfy@cK+g9$H)b%4pzcu0(m%{hwjx&2(7hIesaP;B3O$FB( zw(rdo-jQ+8H(aRsb{vQ6RI@ul9txa$9Gve*d}Y&)d%go|Rjrd^_DuVg1CH?I8g%UN!oe?^HY{KCeEl;d3HG#wp=l zSyJd5|G#Nk3vx_)R_(d*-0Z<=w*7+3G`1y9728tMaj0X@Exq-p^pZo@6-4im(Y6T7 zP;LJEPtQ0d!7VQL_Y6j(3$LzMPWka*#nqWh4mDptaqq!{XSdHX?z(hCK0nCDYjNPq z^`Q$lBs)!J?fU!0_vy-m^4%-^KgnFb8_qOgyMBdOk5+xw4)GH@GW+iGJYIZ6b{bvcK~LxyqY!%GuP9Eiu{@`KIp7$~|x2?G;*l#?aQNm1A-4VokLp zuJ1S9t>u5VTi%dQ+@iIhpF2wLlx^XX6mCt)#0|%OxJ^FXbLwr!{4*bBaIcU_wmfEK zne2JIsLCZZEYCeBy=ldlU&j_5+4opftCG$B+ho?al1%ZkQ@wZXxiu|2vH$@;^B{y$}B8x%Ya<^8mZc(?8!hUAbA~+c*Ck z534gyKiWOr>3o0l-R}inHxs)LT}Zy{+oHnq&~EBP&c+2{+CD)|YtJ#VwLeWh@5FlQ z8RLzH-7D?CYE^u6=AU};5})bPhdi-7{-GTg-!`!xQkZb*PKQJvzj63{uX*8?W42m>7<0HT2KxmvLkD zO8=;L^^vUB+3mMPd^o1o3Hvx+R%v=>+S_@IwP9vzy4JGW{g&pf%$Yc2aN#IJqo{kO}$-i)w7Oz_C0gKd*u|AkZ8ExrDkn*`{r}Z$ zs<=*LZHrp&)8e~+;^OJ^tj;ab%F0^Yy-wrs?-&mAIk^)&@113x>CR_#a?WkplzEq! zEa$(!GUfiZ6%mPPdre(s1JkC9aLVO!ev$d4Cs3)-?{&WGRhQB3c@?#(#T%}M@2q<0 z>GMhN-;_PPYcF1{5c+(ia*n9l#Q+>i3i7_1`7`EOYPssGl9-jR8?WBw0W|`h zT&g<0Y4UxL>G`7Oamw|TvHh3Ht+5+-Dd-)4?Xl}4r?h12;w$ljPBZgF3-4YzYyIid z`==j0k6b>(zu^3x3OWOMNYl7H;~zk;n2*L*Cu92kz{8yx^?k=?Ud(A-^V_D!0zi5_)BKi!m=Nq4B_x zu=KNxhol@dqy=IRCmu>DNq%rGN<634X=hR5GQoliPqd_#pWt`jY!PL;eTUS%Z>Mdy zb*lFFU!MN!?2khZUuXGWF<2JoZIK@%#PHm^hL?dWugnjc<=SvKpq#mTVV}#szD!<&wRtAW z3{rUvQVD?${u1nJtVyzSlM}Bvqp$O>tj=CFyQBZv`b8>R zU*zn&d1zzr@!R%tc|X_33+-HdG_uRDyu`pgdNxz_BC(~j)_m!x{`cvElGG_B364&A z&w?3Co=#f#CE%}xSHLW#&PNj8*IBgHGHh9{nzi+Z!PQHqeb*X8PCoh;xaif9kg1=4 zO%ha4+qHd}!x4cgKVojJxB9L6U;n7g&f6<{@ZH7CK_l)1gGy-vEO zQ_5rO9JboXUP*3Q_Xh`Oomt4RC&T3M`kDHU} zyZgx(%SzP{F}bVe-%iw29hFH<)u~8pd|UnVl-$b0zeB|jl^+!po%{A)utxGaxZ(h_|Twn0QXy;D$>9dP> z?sSw^jXtASxOW-Lm1z077W$!^rY-${&wgHsn3rop_PLcwou|X6?esa(cdgw~ZFYba zmq8GRW&hKy^DO(U7+pnVCTf3?uJrX=sj|eUGi5=N*ggKv6=l=Id4tNHXUSB&F>#7L zwKk#6r}N2jEryCfQ|ErOfGZ8=*czi8P?X8v;d*d4DA-E9n>tomiP%j}ZI#|0@z(|Wjy->rYbzj7C&bF7X6 zgWi*O`l`F-FH1B|kCfBpYOMcz*I&V%^;WFVqP2IYC_i1wpTa4p zzCKU;JX__Pc5Sf^8 z#Cfx1VTsTyKF0*3HN{ub8RTA1nJZ_UcRgUkqU`QRUh`I#hTfbx$y;mtTKB1QrQ|zT z@dj>DGd-R0_AL8s;k%08RtA^z+`X!&GG$GnMX2`KZa2p%eT!yZsou2c4cF;#4O!hq zalbx&=noCd?mz4GNU&bfE7Mr#*Oii+Q|z4FgIR1=nyPW=~0BrUM=e zoR4!CeS7kzU_pZJ841qX+X@T6gMe0uX7aEBSQxbN|zIXa( z@`=G<>c=eK6V@Mc`6uc#7DvZKvuCis5RNKX+!lR1&RZd3{q3KD0yS3-u?8_5d+2)b z`<&R4u=oZsKGWy(XA7P@um-mv{^+)n0A%tiCXZqHeGZToql6Kl83)9=%awKZ_y?$>O+xBP~`nD!_A z^?@FDy3SveV83Ve?f>T2M^oEBeKKD7{P@9l)fP*4`)}9axmkF40-vg~@Cj?a?Blbw zUa$CK^m#M?rD*e(aQiK*!;Px{oWCBr(Py@skD&W}P#Zd?alX(jfAftx^^)JrIoLxO zp0}@g=*U@gPp50|-^XR|KVP1HT;Qx>Ok-(dno!t}5H~dzrgxKG2dZsYy{veeso15N zBDImeBFpU*w{Ok+M|A4DFI~@Go<3!wQg^WOpv~N(O7rc9l6Qpn_Z~0E z&VO*Z*YA(QvMaO8dxZC>+OBdFQMA9zR<&LF5;3SD#~Ly36@ZcFCpGqS8Ro zIZdoTPn1=%nnb<5_x_B@_TLOQ*RTHga604Fs-+zaAyu+Dl64NVSk&Wsy;pAABFLVQ zK98}}=8e*pprvowCN&zIoO`0MGN&Yl@7}_xzDw6kZPICE&3<_2-OC-qyLJ70^SrlS z?<%Wj`0KTQYn+}{*t2&%d#71H-zsxAd*|jm*^*8tr^%f7^%;I27o0p4(&ipMdy-j{a z?%`8j-Z|HNBYtPrm+(#J-mGy>cKWXK$tXB((xzu`qry(_dGki#aoKmdMHWkVm?+TUEmV^?gvZDjRz^ZD{M2DVr9PaR1(@N1cE zZK%k#D2LMc@5NcAZ^NGpY3yKO+sh)dZ||j5HL}%r&mCQS*AuDK^4u=Bll?#D7fe`^mK1#Z_a_PE_wRD{6o|)PJTb3fS)us- zPI2B%N?Xo+54@}J;>>#E{m0Gr>v9Xo3Whpc)SWm!*IT&u-U<(fEi6R}ZS5C!=!cUneC@K38V{NK>-?T8YAf*sB*SV(|1ZC{MM+A`*>c3d2n$ zXHy$g`zJ*>|Ksc?@K-Ynd!y{u|p7hyJ;iXyrixLmM-IH6ywf>0O zyLFbQ7R(k32&lSQIptY)_?y4iW)~h?70JfM_sdUJl?Yd@EnYVx z&$DCd5|tl|uCBi!Yj9W1chR~Dq92<#Y`n1TzG?fSg6c(v=WFk|UR#oR{^QmgKkl2) zi%FO&%R6=Hh3QjEZ!eRYxumTt_)c7RzsjBMa-KK#v)M9jICjx$f>rr#JFk*M)8w>I z^z*na@Yl7dUf{_qNSimUV!o)3nNtC5?Ss zsH?%7pgCO~d;4NJ99q>y-_H(ax!Nu^dD4{B=I#uW45fRo>b^^7S54%wjy>~Xb5T%oK#K8Ofsf8AbVcA|=5??P)o)@ZU#ZMl5? zZ*l2^@L(Z-CZS@h+k2NE`5as1x%>a4-M7Lzv`x=P)y6*Cq@cN4dSm;y3$GS--e-BW z@?_sVYX#o-x{r6=?TFpZE_uDTep9&5?|v_M%^Nd#JTo z=e$|IGv|GMExdJylWX@zwIH3wg}1dYO%1c~*pnP-eLO6HwXt6}-CQO>huJG!e}7&( zV-r8~C9k`G4*X*mk>74seI@;^zq|CUR$Cd_|9{Hcm7e*tb@6;n{V4PC-QL)RlkfIt z_8e$jw4?XH&#Ehrt}$IdJN5Z2nFr4`{LG7;^s`3xm5o5LTBpis+e@%m#cU59{3vkIB#v?6uqq6A7-3)!(}Uz-}IVy z%0E(xEdBX3D(OZ@Px<@cBeQ=#ydZsiwrcEwdrC>w7joR*1Uju1OJQr<>e+p6&Yp0+ zt1mYd?Bn-xpO}9o#%k5Y_VxRj3U2dp-dWc5JByojQrt&lZ-o+J-`%Uy^*P=93@6IC zO6IM~NYdc?AkzB8e^Q1}-lj}F+q{Z0o^w9N`!&w??BMu$w*8s$ryI-N7Jo9^^E6ZG zqHUGEYoYGw!$)XfnCVf3|e{Wv1i4 zUhf6JxM{B4qIlW%PS25Mu}5!m@>!!-Z$CNd-G(WRQ+3xKIjJt%qR{01Z1&eOcA0FE z+1=z09_(m>O8H`fn!F0ut()e)DRy>r8i z&Ys$}T<|o-D;bD?)VETJ}xs{nfcer;wFZZl1L-=vjC{&nncoL2AFGHuTp)v4|>zVmm?`W?1as@4CU9gpRjjWTZ^%vibi zbx6vh*Hh|zBQvgU*YFcp-g0Q8ecl61@e}8d|?bFv~Z*EU4JktAN+Rt2u_HXa)UbJpfznOjGpaI{^ zzY3Qtoz=g$?c$iQi6>n{Lv&@e_uu>7fl8%QKCL?;bY}U(n3qrF{oce_zAC;_zU<2N zSDzXsPdL=vc)nN5_Ce|mKlM3#HmOx!*>GNsLq}^yX8xa7H%?V;TjZ+Fm*jpn>fE!G zX|HPDC>@uHl)!wUiRTgot9^IOC zrBx%cTP^o#`x{>si+vlW>aXyUy#F=HCvE-gxFdTP#{4^w^6$Z|Pk$P1PFmgHB!BBC&#TDs4vYq?p=RSPiEIrG@#dOR0 z?5FIF#y<~o1qvUZHd|}6yxbp`BF$58dR@2!@6PcvUiI|8`5!)~56#|-tln2Ce7JXB zYsZPhO+TE}R@=N-Ub|xZ<=DoK4M!K*#viWx_Bu;v&H8(9AG6!do#DqH|6u0rCsVUO z{5AQ+cjuKe-?Cqa>)q`+-tsxApJV>@_V3+h@ypKDm(u1{3-3O@`@N>`1cgWI`jtO9 z@7SGJD0JiFw#T{0Z$CeF`+`e%=DK&2S2(Kp-i(>K;_EGE`Tcnj61}U!MFluj4tN0vG zs^o^{{O?>9SI6DCsBm_|kwuYFE8j@oy*K6LXHa|7V~d^Yp$oIT7Dvy`2uH}hMx;V#*o}s+jLyW# z0oBE_u{$_D-dK|R3lpcIxP$9!p*0?e6!{kjz zrypFnOkv_{f$54XdaM)cAI&~?Ojg`zXUy>+f3~iPOiftn~k4y=+<7+U+)yyEv;fId2^}DZ+Jc{!X>& z8ZE1N7f!hJyW-D7j{O3uT7}-$=3h&g??vZ*mpeDny>Z5`P<^iB-FN#H7Ch>_(z1f( z)RD;onPQV0OQV_vW@!ZN`+Gr3bN#BeuKnBpZIKc`dwNy+=4rlf>a5QCExzD$&uo_G z!)mF^XX{Ef#rxK5xVA;@ON+dbz>3R9j;8r7>iQPD&{iVitw&;Cu)~ZGe|nMv**{<2 z$~E24?vHftF~@YDk_B#)R{NMmRc^j5BxM&SIl@z zXzjVhCigELm|=2R>e%L+Zrf_u_B<-JGCLysvaRQ0I^)i%$A6yi&#F5H8o{(u-zd2I zdJE5tY1=P+yq&n~a9@j`Vsi%DaEv%W6HRc$dEb6mYoesU7$-b?S+tn-`d#_~x=`{2=>@AHKCYj=JQQ?;OZr}I`ZyrpZktZ+pa+;m3Qn-QAmIL>{d=OQAetL?BS#pV5 zSe=K<)aUOCj$KLf_Bg`d>vHF36xXd(FBN}B<}|Os?eEsUoBfI-s&T<$-(3sZZTsGP z9F{PxcbJfz?4#n}_vYS0p1E)8e3Dtdmb|lnk$chV=)~(~1v8xv|7==tId$Q!n>lJr z6Bg*NHrUO>>^m(i>b2{#Z`&%LZa*yH72K@pXK;e0YVVR?F{fnRS2kvynf1)XGhk9Zbcx@z<5p>~+bZ;np)w0y7g8+vbY zZu^sXyD;5J%K2W!ce|zDqN*H!pM*< zr`xhPsdRR)!0#(pWjEz7-|Ma)`M6+J*$npHCJk9vW6iWg_iT|kk)?}WubfUyU&o?! z{!H>@XKSMg;;C1wP9DCTqgOkrkNG^?QnB`V!Th;L>*8OrAGAoj?Z4;h?G(@N@`BPk z7Z^&iEIITy^!wT0tCi+d+?1BvH|tc*%t%YW0(?s;%_Ui_7 zPdFXCWBdAz|HdarO&sSaJW%0K=Pow#ew~q7lTfL3MDeJ^p&)5p=_=**-~6hCQ{3(~ zZoKIqVrMH9tfaHM@M=bK&$;%MCoSeMsQ$gM`b3FHchMEwO+jp|?dRsiY_Uw7ee1=% z(%@}JS{&j^ioYlOx&EA}>3u0+%gbGdCyC^z9O}v7wBDe&)N+!U67Sa8>u&dSEL>?| z#NSjNeyPjr=d#)Z-;QW);(ER?YTg@DE>DNAmQs%oL?8cGU$%Gmp$xgUsi$UCMvJuN zY!32ppVY|t#MO1JZvK3$sOU+vFDL7mWa-#jE=gT_Q?> z>_;k<4u5jd=#?+%ezvj3*ofP{gVrRLz(wBBif6CY?t>on`kXjze`JDU9w5bbHvaB={UDDQDcDirW zFSt8rvcUey`xH0ZD<_s}%3o(KDTsBLYilvlHsJl*m9E8qPqdd`yYkp>VR+r;7gObz zcvQ+>KOC+n&LDEWD@E_xn_ichH)=25ShjLmUiHuKy!)Ha{C;3ln%>zLpLdsOx7v@0 zb!Scg&&)1fn=^U&#PS5Q*&K1}KbGDvf3!R4;ypcs=)0*NA=Zia?WZzZi?6W|e(2L; zEZA%!cp+o0{N@Y$eJ5;UztXVcR!ckop`&YFKTC<1n3*Y&zrcM@W7q@!S)yA07hQh5 zj;X)6IAncP=fBw5AI@n$T9s4Y{pi%eWl~B@9diR#tSBuEv5IsN{$cq`R3SfGQUBJ1 z8w+nQjOM+v#S*Hj`*m(QM`De?n(K!u&0wFdefQrhW!1(QhQ3j z<^7f0)8)_4{wWeZJAZl%pQMkpp!%nTjHyR!e{5slV|2>(DZ{&{D$AfvLi?v`ea-aJ z7G6-0^=0RWs2r&n>AV8zckQnmX9`$lH7#&;u!YA8z)!CwX7k1p+ zKD&3Bxp|u1nfnWJ+*~H#YIoczcsu2K>#Z2^SM9SKCEwFV5PONX2|y^ChFYdSBv69`l+;yWCG} zZ@l06B<%+O_G#NYM5fzYWYs>%d;OV}{qF6)f^Tnkm&;Au7~gZ&q;lJ@Id!w@D)WAn z79U@5xHsUdw~}z=n=h|TCMvNj-&#`gL*Sds+q=HyZ7;6KFMsNj+1nZ~9{5zCYkFqP zH{rdTm;JrB+M-!&69?x;hA#(BTX+R{{oCXj=<)f-%*YEH#H^~#f9cDq`?iVlS-}?UE?d2*r|IRqZ@n*u^=yz2d z5}7w@N|dBdUCAyvlp}TdtKVcjR;^?uZvV!It8ZIQaGRN7`F`KdESsLFrJN@^PT2Av z^oS~2cf|DZ``Om{eTz#1Ul(rke9`ypg!JakyC3^LYPWb9ap8*4;b$p(s^`C}Zs>n} zcG5b>Ji)u#Zx`O|@$uYr^rMmEYF0l*W5YGFjwNjV=gwsL>T)yLdF&FD&G6gx@?%By zDeh|@jKaOD%~}m)IIV+MEx0trh3^8-B$*YLoBy4(xZ<>W!sFT6MYHE>6i>clWBF@} zn%>dc%Q+m*Z-T2sDpl_tnlvq!PbqGrdI;X(j4HJ6xX~ ze*EE2f!$PRwLgnZ^~Iirc5Lfi6nXm3%`5kIO#Z1nr$TZEi_VnNxuFhg5)ZQft-Z;a z&X%J1bfv=0X+8=+Z#BgpZ}NWjySZ%r&$WSbq;B%8*>8U1@}%z8<7$1EKHJPYq8C}bCpM+wGOO&uyUSz3BQ%?R;v828|2#bTY2J*7M`c6b z{YO-^E#Q%s(2r*uo*VnQpFEzL6k&HDjsN26#=V`=OZPY@JMr5bwq3d=ptIoViz8z3 z7X;gt`Mf(9XLH_`h?Gd}N-GN}w2?cSYMa0A_8x<6?i1uHFU=Fv_1vTJ?cMP?r#>j( zt&~{7Ty~}RNsvj`;d>rmwkU2~99a2(wL?{LhSuA)K2ACD)#Zz#m<7jWtFG< zKWZ9T+OI8Mg|P|sbPOrx#I2YuY0K~GI{@MeKu{hPjT{%-#3q>a(z9p+YC*gDqrFJe#_FiXhpy(uCf(f zj8(OlZ)|*?ka?o_l=rU>?-w#eCM!wL(TZb#kt+P#Gq5dE@TKbYRUF*L{oW#Ce5dYo zc_-SLt$)GSwlH5OEn}biOT{kt`i*@nVy{#c?K-<{!&ML6YaOw^o=@&hJUk^lbA8ug z#)UD$2j85HG+wtO=DwxDx*bgSl8X|ObjXYrQ{ z6+-Jmww>I2zpKz%*X+Q%AkPDrjehsG_`O?_{rjQlJB!EGhss;(gASE*erv2dASV%P z$oKN6n|jJ;>)A#=MLIh7X0_F;PnOwpbEoNB(@E!l&W^E{xOVQ@VRLukYrE&!tc$j_ zEVAl9d`ej>Mkg=8=t*?<_xrAmF}>Z-*iY1{^SoGk`|j^L##STky9aIhrfoT(uFJG| z-p>mvdwzhlRfLYrv9QnD^`D} zD3@mQK&I6)HgoMCHe~1uMAvZXCa=<1@Ikj{#xZv5OOqC96-3MI-_ z*0@*n@4}9!e_|{?2kw#nyRgvw*Up58FZV23qEY5J$vDu|#dTxgqG_VnSwia?oF=X` zUA^v`w2Eo&(O*{i&d)Pt-IUAAQw%no==%}#hhK8h*&Vu{f^Pqjcy<2cY02;tA6rBZ zE=XoM&arJ5J9~kt*f~v)T<%v|Dhe+RY-%@LyJ-JN=oZt@k6f*L*D4>A@O8haX8SBk zX-VYqZFQ>;@BA3N=T%?5ONj8+Zz}*Y8yc>jlfScU(Lra`q&@bJ+)JCp|HD z<-VdTvQqA{#~1YJ@h#jv^T>nea%_JYj9il3)?&yDUrv9L#`MPU+q!>~xA9v4;RO}C(KgIvD{(0X0 zWjlG9|1Wa*d0XS?;z*I%J^rS*sEez=RWDu+wD^h*gD;R z7=80$^M)-)A1++*R9p9y;C1=l$UPcI7N4505;N`dQr+V&Vg`ZYsuvgNUr!WF^$4D* z*x1v=)#d2eaO%!tKg%$e34Jj#JLfR(+_HAL>4Err+YJ?a!*$k9?AXSf>^Zx+&9BNa zVMWNqZolsQ7mI?$m(8=U7k>4jiaWGgU|;(8d&yyi`@5Had-Zzy*=RkW-&=aaw`!}dJuIxKc*B(Tkax<1k`6V?f?1OzOO1XUTQ9SI z2UB?Il&Fobo`0xNtjMuVyT&H&$(-qt@Umd0MER|>OOxUh+-+l6yM6~+B(gh-CjGaZ zd1~oJ;U!<$+n(vIn74Az!K#PsfkJD=FX_6M?7h-ob8Bz?lHwU3zA#nuuK(iWxxIXq zUVCESu`7wM^e4L8J)0!EDXD#L`Tgdn@2V|a@AY`jd??Yh@pF-@Y?EK#0zHkl-m)PL z4xiOa1st-~G&omH^-P$NG-1)URSv;?Y8+GAUg=w1m?LAd_FR1E-kUe;BiCebX<1gQ z&I$OiBJt_Hon_w=e5xkC4RTodO5~EOT5z9YOxWz=6JoMgY>rfa+;l~DLC@pLo8PNH zGF^#vk39ZaIlsF5;p$}#yI%gDP<3WT0izRQd7~NH|^V`l|T^Km2X1Cue@#Bn9 z549cie71D9q+QIp>pE$V>X#MYczzyKV-ve*bm;m|_0KodPjgK3H9lVv$oGu@c`E<) zi?a@O*sz^1l{uTdMQOpEGX)QN3pdqpH);A+eCzR!6q4{0o3Qwdvvzg<_D?4de~S{_ zc4;cd3qyIPuc0pYT$fFm!&N=gpIL@UrQKhos$?@OqhPJ+`nD~3`wuQjx#y*JJXy3W zN1fg8Gt(O5PxdEPH%T^yMH{p8O;2w>JuPAxn?#o~bAgHO%)=YI4l&JDd!V8B^8b~X zOaF`ha7A5?zx(yMsK(g|QxjHJ?U~u1w{E`N`&-jjbssmLc_^aoV)lwjhb$x?{NFRP z`v3Iu;=k-hiSzuMJ-_jpvTV~{wToxjoT(3Yzc+N&<8=#WJ#+8I>knD4R&h&I^Ghh6 z%W{o2y%8HP#_ZpDO8b&X<=<;;{8t!{mMw7T@jSUZ_+b0KHO`M0z5agV_RVGcr>L)Z zp|n7yR(X<+-3zm$t2KNsNd*3Ply<*aGAktX`OjVEn*DrUpXD2Ft*kg~+Q-SbR)F!3=jy_u1EN>|Yj^F6H`Lj;&%921;xm60 zhkN_ot$DxKC?C7H=P$#v_Ltve`4>&l^LcuD+7q!SPG`->pTm%5^V zf61RTb-vyiwl#g*&R*EY=d=IP`B}P`!lb{4%-bm2B;_Qr=f{tnh1;*ZU*2WHQPn0I zlbw7j@&@;|4I=q6mTYTQFeVr_u-`eiI zQkmQ8DU5rD5wJ7N$cTC$g1mj8pQDn)$fD?z<+tHeO_{`G!jKy|X@D z{k<=^&P?#YlVvgGd-Lklwy&D^W5F%8FWW8r{(Q+bQ4ikbxbn=ms-0YZ+FOqFC);#} z{n+6;r$_ccoO|FO3pcOh6DOO@(h1jydsH$d=&fzq%7(w`-#(q6Q}Ly`;>%QNqIatZ9EhKz_!=@Xz9BJ|5iq!X-m4 zsmre=ZkBOfY}v8X!Xe=(;K=ecQmo8;%$|9pOb&l_zOxw)$P)g1jc zF72z=XeHjC+ui%`@Rk0LMtA>qbms4I*f@RPn|ar>h^cYKrM@)Xj(T$_0@c;ZEUjd@|mYvxQky>$)S+Ul8;c9gpO zyP?zlr#U%f_WAS5M!{JCr-&C8xEy{5vvXWgVdk&AQ ziYC_zOZin2o0iO8XrcdoljWnAP0p_7%Qy0Nb*W9x5dQRRd9C`_0Iz*7uc(xN**M+q zb^Lw%oRwLIGv4lRJieU6|EAohH=egPu2ybkobhK;LdT*q8Qq(DMYl>P{+J(qiASkmhGutyg!aMC zKRi<>s9pL=MjFjsqm)Cc8|8cF4)8V!ld`6OH~m+1SI-Zfpe>)ZvK`|%x>VT_ZL zMXS$j-d7rCelB#u$%U`)tl4~cVyHz^M0)IFo!r^I63f`r=h*YCHCE)hKaY8(SX`f! zUsh74TDUn&*yKR-%@5zz%4xeF{AR}Lvq-dT#s*g5-o1I@5yo>u#U?T?T=%z2%=t#& z`$KDI{Q-+)R=HO$4fna)))!cm;P>zd-J>Ix+F?1?tC*Xf|c*Y zD(MNHs$HkI$9#@eA6nohmjs_J)h>eSe& zZ$&NcacrLMv_R?XG*`DpCbxH1PM>PD;wk5j+!Mz0Cdcj<)H|8-Y~RnP?T4OJl``fg zeCofPUz(}mu}E;|y$=j~3+!u~cgz#^6#tPMvh$Ai;!EH4Ofnk71pI)wjrk|lJ-oTkJ&f-xjoz-k^NPW;n>j38+jqZrS<0#5#D6q-j@s8k-CH(m zbh#eXt@8R|(Yx$v@XVUsekuo-FJ7`<V9?rb8anGluWs7T4l-4iX z_RhYHE3-)_dzFjnnrMDicCnVo%ln$_C+FGj5pECI-m7?}K&LV7?b6_oe{YUHlynn) zRCi~l-il3=X8K&-By}U9b((DCmFp?V8=A~sOZ3d+&bHcXyGZ)n>x9#W`Wa{Dm2JLs zbCQA-o5>GyZU`tGWaE@@5OAD#Et zfai~;i*(!hqh+<<&GsqZ7yPtycm3|=Oux=Pod5e^AIr=G7ar=W$w#L}r%uXSw&VC_ zUcKGR7Cd`nTy=AKpg~90V@a898g&Pc2FMEkOehxDjtzQ~m!!(7BRr?$(|WeWN3YEf zpElIOk%;xs8yU?^-^Z7_Llm$Eb`i?yqjJ$G4;*XD;AB_Ymy$Xv3U1v%C{xi zA!m3_{7Ts1*yQ0J<-Oki#=}n8w=Oe&PBQ+R@#-SikJQ`wpM^9z!jfFmLNXWUt)0SU z`}+K;l@4F7%u;4h5|?=L?^Ncil*T_1rT+WpOWnM9KjcecqwTkfCzpTA@+E)IugsBY zjcZu$Vz{i~k=1p1wrA?!oYMkCEv@yMcXZAvydmNk>6;}H9KCK+O^?Xzo3Es;Ty5uF zJewJK>RA)pR3E+T0i1Vb>h5mpzx+1wBEMwm+(!rQKVsC#>A4=b=F0r(K0kNu>$mOA zuzy^7SeeVNWBwzC9j9aEb#J;St~!7Jwzu;8%lrTR@)x*qqF3*6`uEzS+`+AJJ=bcM z$g^DCsGA|R?|#;g53jy%pUt-8u1SZr;i*3b(m#dQFm1jpw`1u(b8D;J*XydPt~oE9 zzBhRLdp-MoAD%zY*ll0q{n6O@bcwJsM^+wRz-OH{-nDnW+=<(DGALrMxW~1^FHPz% zJO2DHowDG7-4>IEmU%YIy5g=E>Q^i4*Do$xlhK(tVd3%_#WxHNEYXzTW5l-fnXFkP-7I=G=-n&F-wj%-Nf6Gt|7-n|0^8n~};}*_ZRZ z`53jI6nIn_gzw#7{UOEo-Kq4Sv-UdwFFt9VcvXevj`s7f_jzshKmKv;S8?~& z)ML}ivh;s$xLf~pcKYIqQ&qhaI9p%r^*ImF0%58PpFC{WbjWvAv9GIk zDc*H>Tk9*+?fc90w>;0N;Cpg$!=crN9~bsLf2wbA`_9Sqxf1OkXFp%wd3^rj#S>=# zxselI^CI`sgjqaBvzFNjS!GB)xXN`@z#$`-^~GP8UzIc2neJGfnm0di&NY3$Q$07_ zOz#$7@>P4{Tsr?M%Lnhr(!%WqiUFpd4%KeSo!sKn|Nl~0(en$F6OMNl{at%0(`{*- zN%Gn=U4adoz4qQ+ZgDfDJa1K>uiwXDuaB&|FaOtYV<=l4m;H8jq2K=G(&MlCuKrf| z{H@~xOYiqm_JowIwgdS*DY^3sZ4OWV7xd)rOgmO3zl7y{FO(lK-->nhwCYMz{&#&} z;?1*8@dX#oIyJ~t+I{La4F3B%Ywo^@$Fu+FJqzp#W^Jix`O})tan>lpZ z9El(1UYl4Af4z}4+_z2RnAyxJH@v6)OX&;}`dq!a;mGBVPoC2Zj}>+pWhU>r@mJvs z`$O^7o0BK()j4{(vwM>7c6R>Sgd>YL9Pbe?sh+&3asH!}o2zs4894u%$mM>QX?=6U zthTRA$HCoTYI?0kQvTj*_5Hk&^P5xOwel zPV8>IB`Ro;R=CCL*{=Be9Ic|t>=9cWou?;FFq1j9=V5JL=ZoWM-JK!}&P@0-g&`r= zNviqJ8Gh$qldmkceVV+*Jjdn6JKHChG?WbrC-oF`xpW-fclh7LjrVibaym>@JTZI1 zw8)=V9&a$`uiX32MJ+bk@Dc0uHQ8F64A0g2xAaeVKe;MYXFKCQ#^u^3kv|p|eOq%u z|7q7rZF|oblBe%^t6gSGdXl~Ahe&(ew?~}KmEQzp*DO$L5M+F9a!YUJ9TF(udUnmhAloK#ncQVA^NJ%CqNTclE8L26db4|8s+p8c?^|a4!LZV0 zdjjW$gzvTUT2@?Hy6$PW6vvY(_A7tBiwWDtF>TR~e8*ME&enJ0qRKtR&pzs0-I{saJ@lxG zXK1R)`%58L12R{Mepj>3)~?Ji$NVoyjW2q%JbMf$-B_T zHUHA#M906{-dEWgj~8t_dY3`3=g5gW6K@8UurhuU3wi$M=R4UA><{lfyVW8-Wp7TC zuf2xBvOlpJ30X0UL6Ryfdd`(|ghfX1358v;E;*II`;)n0ePrTHF7J)|4`sZoo$_@q zlY`syhi8Q{=Qgjuel@$~w4PLHh@-{rM}nGBd=J)ax)miQE!Dbs%8VS*4RfBH-tWR< z{qFSapP$xONUf@^wn+ZeyE#)tH*;ykza1sghxZq)O+G5O?B4ws>7svL)j#v+&{Vy6 z+Slu<%B75VhHT4S&Y1Zxv6FPOe)i{#mgf`m75{a(ex6r|sbv#P(!P-Q>MP6j*(Fcf z*-mkOD?Fv%aqRK-gCPPb7gcBa$9?SAkiW}+K8{gfYSZzjhMAMz?PF)up5o6|87&pj zXU^zzR=3ZmQgX#C=__v;R{qk+ayzHE&fPobx6~TJO*gLZxP9C07~@mZV2gGM!Q(5I zJ`mMgmlC0Udef$!WY-7pcN{G|Em`1Q&8;q6lGNt)iYF+bn{TSkt&7tS2~6GN(k*a6 zWmfvv2ku`(Rt5VmQaF&YFR-im=+2Y*SG7OC_$bPHdSZg(>j&PR(<*FA*&e>Io%qkq zq))N>p?ciMml;kbDSHhXVl%cJF(^wAir82zqIPdm*9`ZK=HJ!5;~0V#MV@_pll@)O zBt1J?eeu*ybql{w z)!zBP*RAhS<6imcRPY|R!d*(|OJ4mtSd^N2jhDU?zowlyrD&l_l3fu8m zljZa8-L5~k=3DMZHo4k4eV@a+guJd6UM%Zsp5UOjzHj!MeaBB;;=l1ioWc9GY4f(_ zR!i^PD)C`Fu`1tG&!1anSE1JA49mOw*3Y+d$#vu`xTZ$`hZ`TV3#=&0>SqbCz9_gv{(bmS-xUq_$;k4se2j>+GrnXkFA*($N* z*yA7%>(zB4e8FN#tF}IL@ck>SDWTadVC|Z}k*j50>&I%b&JL&L#vfVVzIJ@ty`ad+)O!V>LaoG`1HtS0vG#q z;}W+k_@sC*cw}+B@Z8N}zBASr7fIGevfK5_9lddRg=b=*0NV!NNp7oy8P@!3o4>60 zf>qFmiZfF@_#M-q_T9RAJLe9c`iV<|Q+^BE%mQ^BISsta8MYthYYx0~HDSa0s|)oG zotDaO}iO^JhXvcB_o9yr0rm zG_UExg$I|C4T_5RT<7z--ha4j$Fd3Y>ke*SaDSK6@h6M71}f8Ur=_fWnkgRDcYOX?1M6#xgZh@27w5JJRmO8jHME*8OA?fr8^3-= zyH$Rv#mi@@)1x9&F3#)tyy*b{`aK#Srd!@tn(*9ijnabjJAXIViy8FZbn8DCaGiU$ ztrhFDo7+z&{o_k+wqiHP_gJ=W0b}Eyvj!h0@6hp5wru<$HKE}DiEF3U^qI-z-tdyX zd$#!N%tH+uqKsoor!{<6F_(1x`)l`nnKcsgIoiVI?PfSA{;krOlAFbT{lJvc70d0^ zDiiwepFJ+Cx8cZwH9Hc#LX1@I8UC$(cgJZ9hg5g5@W-u}-F{3KeQ_uFhtraiU*m$W z-8z=AciqV&1)Ni&3r_C(yWnnG<256TuEc=5n-W=C(nOy17|Dj0AB*^8;VNYJ_mgz* z-NfOrB>ikQ`Fdg7g2*%3`#*nSoXQgSadGUP zYNJR0#r*7&8@t1lK0E7$pIH5TkL8xyDlMJTMYUB1t6g4vejT&Nt=i>r!L{mtyH=d` zx8267+!M5qb@9HF3J-Vl95VNE6}m0P!>t$NwyXJ|dWrJALjv#aJr_*2+F8r9C3uG{ zw~fIQlX7JXrGkz`Dc37+<^Og|9{&F&#j&I$@7|QX$G6H?&{edsSWL=<=wrz)5m%AFMz4$UJtNxqQ{X+Yin!u{!>s zv(AD2PG8Wn#oh0hPjo-I{E6CAcF|StlV_E`DW6;O>NVd{MTR8fG{%MTAwSX9s`>^bVL{%HB` z)%@ma=lxzZy11L~`}6SSJN_rRKLnHOu9r=1=u4Ot@W1@e-P&68mp!ljuv^)ZjTB3+At56W{f3>SyyW35`t>Z3nczZE9v! zWx2F;Gqa*@#vbV(2btP;J3jWix8mTzWr{2*Z=NjpmXfR4pPYU$<6q&c;}uR#b)65U zy%S%(zjsHyT$Ss`Ej!Ea1ukc(aIkPNWZZt};RDmE?!QZ>*G-RAaE;vb;_T`D%Z{hb zTaf#3y^zeAh+3vkNpat%ysa=*?sp6?m@{2&>C8tBO)~ z`s_HNX6^nve|sKFRvwp|d-I`E?73ydTP`;%CEJ`5IreW$SpSaPhU|G$vKl1r{;)g7 zB6gHjBCEGc_nLS#!9Z3SHO7w5-I%Pn~5+q0>6MdKEE2dOKjzaF-8`^>g@ zyWKL9x$U2uUGH>-`d5Ev$}Lznb<>N@Px4Z%gGAVjZBib;*!R>#_n1(Aapy7?-Xkwt zGImePuKe=m#nPk(8?R4qtv0&c%?vZVyl?y7OGZ}9&tI84X^PC5-DN>{)0kaf&2uP; zJ|hV(TC9CoMs7%hjim?%qD9TmQPfV=ZLb zRkwfpZ_T9Ba$BN`pB~rUwQ%#w08jIMZuOmZk_9PK1>X1?x3A(}yVhPOOXE!Zq8Vq* zKW|!e(&*-1=Vdh!Uy~XYk1{xN6{g-;p6bu-tW(3YUh)*&}-n{|%XSG5<*5t5WwVSrdJCY2IG)Njk=SPowCTy5zU-au!TqT084ahC%9n z_m>%BxsL)(I8UfcO>$pVlmn$Xm)QBpW{OF>h9hA-2%BX z*PdlBxVs}nHuQ7I6Opi3x5etpYqxBB7g+Wx^O*Uh%N|=l_U@a!#Oz*|tY+Tx#J(#N zbdJ4M*t;$|@%7m=e>kJ_=dlLgEVL zlsuKcHEd#V66fq&E{_yGTwiG~IaOt=gw?HtwffHP->(>&E8s`z z6*5IAUOmP74?IV42 zk5^XLkp;F714<`e5!rjMF>h|rwaUIj7qz&Szj&+RJtgqP-(&C8=HAbey*cM*)cbpT zufChhGw1QUMFHDC%xj)>Oa1OQqT`Kqe=x~(OO;0fLqY~gD+QMvfU z8Y8YXMo}luP2#FyU;oqn`;NN3>*8j+tQJlBs;Ya7arM3~)g3NR z`|6(0(^w!sZxNp*w{6@@S0|tIA;x<@&UOzu`1_`|S)eih#F#XHPLA3wPv0(HboaN> z)2H3WnNv7Vma9GLntRJfX79Xr_jY?1-sN5Ew`5nC^)G2AmTuMql_8A047rz_B{x_s zt2nimOGl$&&B~Wg7ZimBWZwN7YOcjl8*sqFV)|Ju$x#ZqzOITJQsHAt{_m*A1wA-CFz!LGyR@v&(ib-Sam4 zd9L;Mh53_=A7oE{9{6R8v|HKFn=Tg>UKHkSJACrw+&6v&CwgBOZE(D>!?L&jZgH*P zV!drUxH`3N%wf;F!ECdyt%;61C-ohexjx5n%H2cBA!Vv@2MUY#1l;?h zv2*ovH~qALqgQvn^C&;|$fmQoOlp0@cY&u2T^A-!I&QIJTVQpZ2o@W z0k7q1hl49yvSc;c)5Tk+$+f+@ZMPw(k@ zZQfTl9oJOp^Ijp-D)9Z+2|tf5-+oD)iYqOQ?$6<_PLA$h_{Mafae(IUE60M~9m)72 z#l+X$wD+U`!!3v9|7&S9-FVtRdux1dTDK2-;njv?tNtEW75-Z57h^7S=**-QTf0oH zD%NNfC2UoXejCoQ{F?1MXO`vMpjVgF9QYaS?H2ef;Je4o zos`;_n(U~CBQhx<(;Yy;^6aR>jwU7oM11WFt{`(D85DrxRz|YYok! zpKN4#GEFbQ>erYx-F2;Fs&9HeoIC!~`)^vxyFXu&ze>&Aa?zdPmEZn~ zsg*aLG(L^_G>wsIyUo474C_K(Ze3E?_||Z1jZDslu33{;ytwf?ZRWL0>dPD@ZPN0j z6}jd#-`&mrBEE3>%}2+dO0lp0yWFZX#M{H@=rq6NZM{NIjWlH%_PiIG<@dSzY3<6G z%;k%?E995F=zp~4C9_6$R`2X@8h#7y7=l)qMJ6iurp^&9n>cNeAlt*pqzMODPAA-& znXvquZDhiPWz6gx67uVwJ~Fd&-n?IJ*LRCGa_p;(rz|<_HTi=2wBif5+&CW0YRRx+ ztITkl#b(K$+wdyCv-_Ay^ey*nY1M*D7IF<|-tRG4{%fz%{wedXt$eBUtUcq`-}d4U zSKiro7_0g(@aeQ|`|+>Y_=xyHw`LxPuWNP(i7m@cSv+<6Lca7@vOC@|ieIUpaPDiv z1{I^20-e~ot;U6=YUhqj{qUjSSuzJdKY!=;^)2k}##ZdLs?vfi`Uda5$y;TY7-fen zOSG7l;>IZvBj>GGYcHas>iETK%@^C+BunS}W=;uKO?Rs;{4a2&yj~ys=z)@eK~DCi z*7dujPYNu4(oohbVzGerUW!i7X<3V!o6Y(wZcgf}aVW?#h%c}>xO#tdRCoZNH}{sK z3U9D*D^ovAHlCKMt(f8 zdE=`Fh9I{7+m}CyEuZHva^m))ifz9I!`ruLJc?`=JsjkpzWUtRu$c*yYM%sOXxy~+ z^7Nw;?UQ)Z=l0}$dHZnYk;uLRnTI$0EOOcQPyX^G#8xW!Pmy-a_I-Qv;%MO9-}0QIOiPKd6FdJbp5}S=Q(gbPXIsRT{H{spx_RSaWADJg;_(R@zvtTTY2>6rZz9yqFT@O>+KcZ3+G!? zcrSJDJ{T<>==qT?S-5p^>uVnS*ukY^87OYrcnPMBd z*=y_CE9+z3WBH$GFN!t#`tHD~W*w>bYOMHnh~04VJIJ-i?PJjs>ANCVuQrCMKAy9HL4C1i++vH^#0>2y+1ZEe$ruhq5H#k?sMMkW7l8k|6L<@xy6G2 zY|Tp#Jgez5Q~V!WdhPh^E!vl@Y;!C{TMypu_`fpoPN%@hZ+fo}e>7!c7Fw5=vdY$~ zaE&y_Zs*-;2kXvH>Bzb-akS%I7HB@*MZk1p_2VNaEo`keu~~Y(SH3S-`NTWuM#je7 z(RB9(0HXWd}htNF2c(`JDNSG6ApE-5Y0yVKtmRkXOg z@>@Ph@7eq8<=m?mzMS@R6Tkc%{ntG+@6IXmaX6j4_a>)q<4)%qtwYF=YHrKU?Gd;eVIX=kD zapRgBkq3L*udLYg^iYpWoJ+5f?(;iRcb{or&+5rOeT=6)t^HZuUzJLR*%Pik)PC9U zJ!cm4SH8GcYX44OfBkBL=a#62f~CsQdrl}GtZP_c|4`;~c2mZK(ue+Hi~X;&y{hCJzeuj|K-J>kISayJ!1H_ zFi>=}{-ZdpiLFfxh7Ow_ex9zOR&UY68&#nD>Xz+-RlE4j5Ba~P_LT3X@>VMo$51;N;i7x#WXpx zY#L+;prR}yJ#fjc>y|=$BZQ_FKic8nf6rw_>#^k@F7n*=6kKkWB;6Dj&EIP=$7+t0 z4})1mh{qB=!xH%|+okX3CGhRL+rebOF5F@1lC69zZMM-F3D#pm_^KlAKxY?Au%cYm23gGC)@e22x<4xikAGVL>F zxoB?PcxBO?Sczo^e#-vY@xQldPTDuVNr}-{ -&;RsC?*9DF^%H9ep{6_rc5*p0#~%u2~%2_=;1ycJ=MAYx_5pFSfKl zIph6IzX@wXO_esMxJL`kW4&0kQ0v?0!i1maKSzp9bDF=I^Ka#C(fNJKo;Oun_{4v- z)U4>*o|4UXCGl$FRUVhu&w_O)Ok`Sq;=rk9;d?foBBy?A7VJ;E#L5?IQ5;sVVdlj4 znU&cO`0Af^{w?Cty18d2W8xma)H0j52X?Fb?XEI<;~5Zlg)jVopxgi64Xj<7vg=MA zT_n&eb1l$i`;EKp^RJ6mY~-B8yL}h?M}_W}I?{^EcUYA=>uz}H=W1#aT(!FO3>)`W zUD5sz_d?TmYAp(Q$hqe4?y`5>XnEBB+;cmPC7T+-kmefsXWRG^rmn_{#?!~(C2+#Kt9vRM~Q4|w!Rg5k+r z!%*!KksZQ2zJB*wgx{4oUp9u2W;@XV&vf0Zs0qCr_@vyv%U#+P$mm9<9F^zsR4# z-}*>rpBk_e%vTz?_0V3 zx5(Lw1Yu>$m*pR>}Ahq~y*E6-CUF!`jx>ssH_PWJ?{kL?Y>gVIn zE*+hoW}ZLiu8n0Z!<<_0mrf`1jB5XBUNo4)z}Y)(a_`i|0_j$=VrORhX?_ityqjUO zG&KGW`;o}=msohuRq<(TE_rv(>_pYIFX48trid$Sm>biv=6h}S=9eW78`wB5$Smu5 zr_GbMMSN4$`s;beHt8w`Sy)=^wC0?!f0Etq-#w2d=iS)!Q-tTA=ae}|FP*aLyB65g z^zh5ljTvWKGi}m#my2h-3Y@#(zw4aqHBsE}r{+##u{zXtWST|Z-fI6#8K?S8F83bd zuG&}W`J^plR!`xc-}`t1ca=|@yx@(_=e0UT?>=3)b=br8df%@$_geYo`d^PLnt!|8 ze>MAJw#Ba-s;^BCAS?nTzm3dS~#np&aO#bo&l2f?vuja9p${VyN_jMv0!xCm7N`Z``C9ZND&v@ z{yX)j(j-oKekJdF$F+4s9cSLKtmspeaeh&eQM6@&w&y+P$!e|a&*w>&otK+aT~_nS z_SB)JkMCWsOqV%(OvXgDkk>9s@w9-VwfGRdJRI2tSI-n3UR->Q$2!|N z`}qTl8+m+o*Vr~UT4vuoX5_q2%3)U5>TUNAv85(IUuik5Kxg6em7amk`*cL@eWyu$ znH6y(Jd-)%V~?FAWBgy<@Yhx)e4?eTPQSZC7}D8q$V4QU#VHGaR&KuG`a;lLuJXyg zGwtcUnm0wi=`>^|ZaVy3^-$UU@fCVc+lIA?c#)|tEfce(3-1$;YnI=|-bw`0>EEVrpGsPn3S!gcmw>CuodR<)`; zw$Rj-MNXF<&z{3$74#^^!m+K`K!%OyC%aLWzWuh7))PX18o!yCxNO~z>#we+7|$2} zZR)i+@Mpez-DT$Wwy_V)zv{)FWSY1#>y41&3mu&uF7sBamC4!eTa;iabi%gcZ0TIh z6D*fc^Y*hmTd@C2z_!}f!dLCZp;{;7^7~G@ck_M;c-K57-H>a#d%{!0PRI6}Q>&Yj zj;_12);IjuG3Ga)m6KxnK75V;D{1E{)MNhniO;#+C;v=+Wxa7ri2UA?#-Ll$f6jV~ zT~wP<^||9;Tg*qJ7uA+Eo1Yo)7f3zvyS-Ze$aYPs2;si-)br2juQ zzww6*w@vcuOTj*J?Ri1lpD^!{=wWeBbLb&7KZRgKl>YmVL zH=VOP`NZUl1<^dW3M7rMKj#ZrewNGZUIXJ^i_|vh?D}UvSAOrBv}xs%WfLX!v%bwZ zx=P~YA+1Y^DJ8ion}bVKwgxmczD@f*h5t&D!@}PVI~hyAUG_Rw_-%9j@0VY$MV?|@ znY*7Y$mUZEThQl5Dc&br3tn2EuI?6Vik);|n+oHe@;Tl@H*$35Ony9x<@w^X4%eS2 z8GV`FX%>mK-z1&xF!kJr-EWQwe7!caqJ6_YU2BE+g+izEp6!&< z-M!=EdhgRb8oJE+zHcrWnMGSJC@-_L=GDJ^=4tDE;zVrR{g8T0h*l+HU^pqn~!yT$23IZ~UiETlUDDPWffGZcSRU(bRfz z%FXvNQE4wSXIf96w((%e9hsBX!JjwGNiJs;Gpdi7e$i4a?RUxdUkz)bE4FZNTsG(S z{LQ-WZe=c-zf=3>`=%$H^S2%CF4A0QtdR2D#WY}3@uG(Rk1o8tqxvIu?rxI>A`9l+ zzc{IA^966CUt4gmN^4iC=nTXB4U(6mR(cz6C; z>AteTKGfQJ=A;vwo?3i~Gut?S$-TBS#d98=G+NSoV7o@$!ML7lGp{VVd!76A?BrWA zIj_|NdGdaj>c8;*qw`F|YofBfq^*2&U)|ridus1KH&`*Z<<;`5hEJ4!vL9dZ?azGo zz>cL~Ci4DnYJO*Si=pkbd!3>2`X?J->HN?9wRGiI7yTA5U0%B%+ph3FuFtFxOZJVM z$6T3YbmV@TXU|U^yI7&c?>N%rcrRX^(-9{g=;xMFbTdn?zIVyolRaIjC2pEor>7~D z-+$i0u}nNogGV_3e2M3lRU2gm`-?UmHe9m*@!mLL=i@559^vCM%6B>sL z)-AM|oH^B~e&&Q@8QsPrPghM!PHkIOV&!F3e@bwY@{&54Rh#xNKJBcwMD$(oL*1EA z7P1%Ac^z@KE#LO`9n0#56|A?CCi~|4E^)N;i+^RVJo))@`PJ8-S={-dC|5g${q`02 z)f#i;Ha<4a4%z3hWpnknJ8|Cx8uVU1DEvL|1^1C(2j1_~4?g0yLI3L7{}=W)94dGy zVtZbnP1G#I@U`{4m)EBW==ij!x*77urO3`&$>#k+uY|qr@w>$AO!K3sf>!e^Z4&+T zk!KF)uM`*c)yXfX?s8+y{if3uUa~VhuGehg{-cHyf0%h)Iy>de*^O(r`K2WsJEJN#tcqF|U6&?3aZAw2zLZ-o zqMF;+c1fAkSZA+ZS8}P}>b-_g-=r=Z%hTlvKPR0{X_}m}jdR!9`!gkicSOBccfWsN z)hVkjTMeVmmcM^!)A@JlzNfXjY)=3FcvC{}*T$W{XCKzd{r!IRx2=op1io4%Z>}oPF0H$@+C;<+8&aKVNcl zmHyZm+}q_&(J1E!TQCwdd5gx23Q4 zv=>^OVA&dT^CkD6#{G`#eyk`GY?2nf#P#^FqG@&a@h|<=8G#X^;f)_Qsrr;TNNG)o z;_Y#`YkWVL&t7fG)H4?q%ZfIuw9l8$mXURwmAEUick$#Wl59&?)GxfeWZBe9&NI0_ z1+L;s-)?`UUCQawT!*>F@032|NB;UTH;*C1CGpkf_+r_{745p;{;UyM*ll^>zP#0< zW5N&K*Jp3GjruuRwa)rz(#I~jFo`DJU%kG8+dg^Cmr7|%aWg!7itUM-#)6x&3mBWW z&)s;8VXn`6CXw?~&92Nhd3AP5vzUxRKYwrD!Npvcr}Zx2nz3ZdJ%$iQU9&>Jt4lQa z)+HJ(b`eouoLFuqeKDA|^l;#Ypa8b(`kjtV5`KQW+0q^Smllit%4PU{GSvB4{bY#{ zZl2V=<`uD5xfhvnUtKf%)`MHBh8_;NMz>hkyQ{B_1uuX(Sg0xach=9~<#D;MzJ?n) zh6Encn0m=zXQ9u@8v?76?E?8(U8U#n+D`lw`C=QRkH%%blMEsj%M2F0`M&Ag?Y(Ee zU0x|M;eLtc>CPLmtxx+KmB5rzMf$HROIZ@p3doiy6fcc@Lkz8s;4*4>#v#` z+`cm>;{JMv^$R7u7=6#PdQASB9&0o;jlVbf)-{DED?MH?DdwcqPAquZepy2J?CSo^ zK#RFjGp^|i^Z9PI5@${|^(sr5JK?G6tCxS)oVh$Ra;AEEs?>@Fh7-2kJhh=c%+P2- zW2yAyCA;M}>Zn>MCr?Z(m6G&qog@>Ho?O|wYt!-^$NR4Hcdu4nHKjJrb+*gO%G*!b zzFj%25aPJTDDdj0!xsbVqVi-8v#nOxd+V=WNPexmC7lIn;Ah5J^wMOQ`a z)cpMFRHU2k=?>;SYWKQxrpoTFc&&2GaQ@Dg$X%P}G3zXO@?h^w73TC5nLguiqb@-S zO|jdj4!->ue5AMUl5Eb6)AJpR=EvXOP_;-krE;-BxOK-g&b7~CXJ6e?k*-rIzwqRq zY?GN~?~m@;C6=bWepa>*uM*!5F*P0I=L=r0ZF76DMWg-0`sfG|1&xp!+z?e?YidO zXJ37~lOpO>l+e2`MC8>ooxjb}8|w`ME>}LDW*oYB=e}twH|H+>w#(sD^_iayFAlrv zn#(;tefZl_k6hQr3k)BcZwH@C*G8;+5x8Y_eR=K;hP{1E zHlF5&dG8%_biSW_cItHeo#T}ve_lO3&$!`Vm(#a(42FOIUGblGV)nw5MXq;cxRmND zB`4IYGbv_lQZ=+-OD?!>ALt<^T{j>{=vGvvKNr@5ntZ4R5{bCztEvYY63DNxjw467d zds`CnXobrq)?8*wRVGt5L+y(9JzF-jt4i{+z1+BFVej6Q?F_!>k1YK0IKy{O*#B~6 z!RuCB9dbT3B3@r^DSzIwu2}1?oug;zU4!jSl`_AlwEHKl^ZsiQ=(U~uU3z0a^Uuxq zw=%5Md9-1&I_F~!wx2&#Z|{zfzS}hE;MJ){ciW?P@=lTreZ5O(wWIB|2%EiZUz1L#Gv@Ajp0jg{?sMVgnP-=_ z%G~&z(wdaoZFj(HqWi*!X#o+-C+w`$Gx5B%=J2sl-s*+LMzhLZF1xEV_tgWl$k0jB z;i(3!p;cRM9@GDOmGj)bEQvxHb-@b_(t(@)KU{xm+4;x(7uF?wF!b5^;{54r7Z+75{ z^-%}yK3LmZMkigE=E2tT_r~N$iYmEYuPrvlYC7q4EQ;ms(oA`_Y~hSUo{}F{o@sc> zp0{dRL6S!N?cfOhJ#&6f?>l;DebY3#xe9ac)K~18cH+bfHJ!=NdY*c!AM!8!@VkCq zQnlNz1NT1b*Dtu=xZHNK(p%5}UtY%7|6OkXXZ`=Xe1fHtJk~ca?01ixBD(0KMgOKv z8|&kfc8LYtELxCeuxrWt8q>s6d#0tWnvfl_-HVCM;P36%H{$*)+)DfIchFe%oAQf< z=|)1eTE=nPjhNU)=J|ID96XhAdY#eovcJ+9nb|t2RlB#o_1Y2mZ`aO<e7n+)Ux!!PXOaoSTj@&CuW_fCM9*B-Ina;Y*;cc}UnvcxL*L3-tvC&^5oCH?HhuPwPGc)jA+|IoLZF)b6$ z{ZW17@M%(pYHC3KY^5H@!sZE!*+p00H!J+opk!MZ+4}m~Ca(0B#k-A9h~1s*xb4Ni zrqU1pcs99yPk)eqe}3cszXb;^sstXtSoZbzP4QiJa~P+{on!Fo7w1vEZN6@Pxxss- z%9~reHkIqnRSuti@x_+aPfp0szVm}SLcU^G!n)d`m~7tbX1X)y)G57r9Ay>0D@I$< z`N-Ct!Fz)q%S8L7TDIIY5WKd=TZ7R%)-8I=DyB8kdp8^FOfYWLIw)!JtCO+)!HP$0 z@yt_nRvo^%H2?aFs;^i1-S4m4og%kWYjI!ol`?m_A8Bs+r7-{M*&k1{Ls?co zbXsrjb7V zW%>TbS#6H9o!$RW=l53z*T4GvTmJtK`L`iUl$V~kUJ)%K#MyFq27{YZ&5u8=aVxzt z9xCZRkMdku(s%#%(Eybx2hSgTq2IeTZR>@6m(-O;g{_~RrK+BCU0=7zXz>g$qudnb zL!cYa{(Kksd%4g^|F~Gxg3Q=C9ASDdI;5_j)SULCVbVhh>i6PzL;XVao7{(mde@$UYBSdruL*|IV_6lzwg z2_xnWC9bA@{@n3ZVH(3?-5qM@bva*u6D$o8ZfEApTpL_EU8LV^i@m2i<1+0>$6qxn zF$?%)3q*DbYEEC>(G#g|u}kArypP?MHtrR!H?{3k7H<avzguUz=;eQMy1dUc!2g_moVC2vT)G55n0cd@x!wVnp-N!$Ca?_73ST=DYjHJ559 z+_9hUk|?#T8qdE3?%4h)oYqi)Z=f-lB@5+uS-+dx#=Ip5}BH}`irav*>@28h1wL|jKn;S3AOjvkz zLVs}4&S&$4SS1bZC;r(O8FpC7OC-s3$7}1o&(6vp=3?foTpKmzTJHab#jhLl+g934 zX-POK>CiqaE|9rvQc8o8bx=ax6Ng3Db3Ye3OxpKL*v9E(N2=y5b6+kaMXjtE{#Rz| zyx(|pG5gP#Z#19p6kT%VgW=tt;}#x!Q@+1j`=ZlJW&Zyf7Z`pRgwfZ@V zZ|J3HUQ1}Z zzudcdR)ytH558Tw`>%rE8GFt7<iMJD*% zq+gnEX6)Izy`?qSdd0S>6+T7c+9^Joh9Q?sEp@Y3q!(7+sV_}bpLg})vp$>c2V(So za!V+&S=zAIRF`U2FE}}S-cPv~x3jNb>y494QLWg_Qu+O1GiOuG&(}wqF0Fq0>-m$j zd+yuW)=yovn@jXUr0w5?0&cO`{Hr?8f6w2~zou{F;UwPfHRnG3{}=yN=vaY{7RQb6 z9Y62?U%ioG6OUZ%<1e2#%~-x{^}G*kFRMT8{~vDs&9J< z={I&yZfJSq(bmSpo^xle3Xfja@6EwK_QhyP%1)OoePDF*<@dFw-HGm>CyQlNKXLv2 zPN!jF#PRsGi!D^oFBkccGsz@suF`{-YMbKbZf5neIdXVP64Txqvx+@V4_OPZn7B-x zvyHXu<;p8-_xt>{JX@<{{&0&&gM&hDxqlq{mxYXXFT8A@x0dySVwR7ze9Mug#=L9g zze)VR^u*oW;$zXR8%Z3$FRaP=e$DA{ljPpOq{m9LU-qWfCeG%~U;DE0jl@~QS;<=- z|4cIAGFB6MGuv~*^}CiwVp)EbW_P0H-S#o{a zq1;AWh5d2c4m{HByUk_QwS80HuRC!USeH(_yW&mmjz!P>SM1p=sY+ls!wKLvCDhXx20D$Om?+&JzN@AwBdz|AfM{gppvLx+kS5OB02Zj4)J;O z_vPBz*SgJqCqGA0zCm(1Yv8_f=a2Pm{-u|8#=<8=JtgDg439oT`If1Zj9=e7BE`I! zi(foPR8H@P){CoW%flX8gfX_}r>BTyT&*@XV^mqmKUqO~rmgqqnBtO|bp;c&hw4@e>)1 z^S5n&UUS_4+r4@6RrPvuj0J45MPL5uRBbcPXgjuX|CgGJJH%{w^W;q>Qt!Vyq&C|^ ztzUXi?+JP7d1o4n4?JKwJoT;kGtcWW>YsWKbA2#XTzjMN%##a;e#Uv|JQX{tGVi$5 zk8Kr~H#%=}-qg2Ocd_sBPgoBKI^OSO7M zanO=4e$5vj>ZPXLKePCL&VJ>Zp3ZL`8k=_U#BJgB_slrfChpd;V&iazY-FK1YI(+=* zSMP7FxxRT#fW`;GHh0^fy(g#dF!J~-Qjxh#T((! zLjFysPbon#4R&gW{6SKQ^h7`S_{gu8F-@%|Sz zAKWLEnD1gYysL4=>bt>$Gv#%BM>R_q_P*iT)im4n#01;DQ%f1X{d_3ualX{m|J?7G zg{pOP+_qKDZVg)kA#;d$XHAPuED(l-%_~Hb=w0G&!MR z+TV9cI=h))th^&?HC>WTwN~tb$Fg4{8<(!}=!@RKXl?)hXyzZmxtk^}ocQ5%!{Tr2 zB9}e=#Fe*5Ymw@@X~AFhLhZfwEnTzwlBW2N2U*vi9?+lcweJr9MOR_*1E+1wFFNy| z`q1TlC-qyzm$K%B+g=}c{f#aZ%Bxx3xX3Fe|4dOxCwIqO?o~%r54H7aReW53SV#Ed zzc7t?I#D$TChz$E_sh3guF|uXzxk5ycYS+n#;N=-)f@chZ&gh2?_J&yrmMAhCetsM z*vBpWvyZ1RgvQzJGg{}$zLigePa{#utNynq*V($)JLWyO!c@Jer_`!PrG_VXiX_+J zB@v8_5eMDZPR=Mx6YyKX^p;!UiDK7Lo{nM`iH+O+|6D%2Z&%z$!{qqCOIn@O0xb?3 z)+TpeQd7wF4iaJBqRZv3Kl?#$$!w#~b=h%mGdMf`W>>x0*Mvap1+lfJOaZrWap{ z-Sqk0$!AxW7e5Sn&^arkJ6WSJEaH3M{LomG{BU=V?Oq zaUZ*g>|LWxEiXEc=DpXPy?mab>86dFZ!BN1 zW7kVjev`{PmmlC_tg27-cbMBaTQ4W0^I`kdsGnD63%XmfN=SMf}U{UzlvXZSCgYyZ^#_gZA5wiLxgX4zZv8d-Brf!vd{0C8`*k zIu<|Q!CU{M+nL3>Xo}0j4GtT_pTumnPkYaJp!HA!Td%E`SY#0KrrvWAbKKMKP8S=~ zwp?H7`aq)0=g_iXRh34bHOfqz4NJ~5dj+pN;j+GI1MmF*ml6zpW(RiZ?r2(lRQ15d zuN#(h@n@cXcu1IC=Jg`sObJb{701ms4T4xdkI` zhXz)jG`-*b$wN)JJ=lKEcCpzq2G`i6KVHzSyBQwDRg-djI)i&Td)O`p&2}eqJrOC1 zxF$ExFB(FXkv)*AZuYtL2XX!HI1uMB7W-)!LZIcs} zefisAajZj#w(!PFPCwe0uG{o?`=VW5&bN#`vv=@o3Kcl+iVewPx?XZp<@)EplQ^gJ zhPu5EkN$CD)yk>L@2$OSGuo#-RAimi)Rg30lu*6PlTEDrP}Gc>+PCtI`(IUezW$!B zH}i$1|C8oBowXCPJNS(z*anrK6SnMsyUk2^%^K}Vl@C|#xF_o4g&7Xg9#)S6_w4$3VaG1R2|vDGJi5N`f9`|--Q4k~ zci-5uIDEy1bq_*!`1?wp(dUlKP~4$UYhv*E$(xtHcO}-ir8>qoyE4ITh4v? zF@IjoIBIyBlPQAL%usQyc1!3oA@3?h>AQ(D_xxI2cW#>6`V7{eH+=VN*B(0(zgFPM zkN2Eb|G({vU)`^NWa|Fk+*|*z6VdjlQH;LK=~gaPR=4G|adeyMb&mfby=^?o2i@d~ zLXPh8SdbLqxbfm*zEcsBIbE+<0$v_E^Us98c8b@o71Cy0&5}h$XH4XMra4Sln>g?A zsS6t}y)^MW#xFxNmE2CxD;>Md=WUG`FZ1(oi2L{a;HhCBxGgg+8r*q zp}AvH)AID`LIqs~Ee(Fxx5=kjeevDjbVl#I!<2}L>9@N*H(R`reEQ&E+j&2JKc|DS zF)^oSgznfpPkF+En!B`=x2LE+nfa6FayeghU-MkK8_(Fxe=M=ulI@cc?sQP) zX&kSe?w|Z^VXxc69!=NTt{)yOzlhPNG_B2UnSC97{|tM zIN2q}Qf}p4epbHdio=eq8Sy^rPJ11=J$XPAS?g!hkB+CP3iYGL6M)U<8djA;rdIkx1p?O*d##{Kh;+s0NQwiPG)uixTd$*-~B@nI2{j`_Mh{H~6T=M5qsl}N4F;oJA1K-l`-W$6W*<8r z()ZQJ!$mB6ip$yeMD%}o%5i-|LY-6V#LO_KwDa2! z&Ar66r@F1vsonVahIgmuH$}|8>*7A%^PfWucf`qJ9;}NkKuOA z8sBGkcBPzSz5F17XTj;GJck*!rNq2SSMOO`6vDDSwaDeTaY)D2)DoE&2_@O_@9wb5 zO#7HC{&8DM9N)Gb(x+c)c;VS3L&tmir$?S}Kv)sPU%zbjOuXo<*=PwFh z-F>kAcINi$Tn4wI?#E`g8eX0BIdh%p^}|b8)g z5C8K=Gj45RP0GKVvy3b%J!wZL7@a-S*&Cxcd0rK_{l_1{&P?^TnM*V5Z`8)OZkcr{ z>wEHjogBx1`P+UAvIqM7pY}uLLwwE&|0E9QIDV}Q(_d|V-EhS`>f2w_mm*Dxil#j; z>pk~>-jx&-RhOKZ^YqKl6~FHI{o*>K=X!sYN-cj`a{XUhRk`G|@pmZ1$7pk zhKrso;y$^|MJ)AR42(r1*V{4-HCymRSrtX$*kcgL&F z%IGUSc;C7EtMSf5R@;LD|80^!#Q$8Pv&ri?+rMqGv7g#)HDq76=PpfVU2pX5v1s9X z@eI}OTYu`p{r$t0KSg!jx|yS4_YDK*7O_>2l7x%QY3To7XGOvi;I<;AKI6$(@DU zy$)NylvuE(|M?4NnOese^B=z~Y>NJ7US$3$U1ssE=Ra(^oOl9X*PP1E7j}!5S@Gm_ zby-o|V~wYrb7#s=zA?jgdCzQR-3JNAA&)+nWK2@h?+eplsj}{${`jrMg}F>6#|w|& zxSquza6@^rSkNu;$bFZzd zg(yC&-DBmR|FkGn=*-GViG~#^bDbZ~s;KR=Yn^k>_iu_*%=Q~*;*TDGSz2ctxVTGT z|F&(*G78)$na=xhBP(C!zd?o9-t0fGQqSu=?q6|2V`1jzxaGUwPgX7b&>1hZuTrDU zO8NTq$30)#%)N!?#lG5gzWmAiWfRia`BG0s26;zbfBZ`(w!b*sLBsddPw@whNlq=V z@AMil&i^TQmh(sA=l{Kr>!0U;eV8wMb5du5a{iSAK}Wu=WwH}^Y@z);q0DH;%NEm3 z%cA)r-=^_4tcjj(AaTNJcF@7KG7K-XO`=?8TfD5^sk^$<^~fj5#4oX>ulx?Gx$bGHROVREFq13lc#L*L5Zl7Tw^JXky}BW=;l*K}_^^{F3^&Yd zx;fW^yNdfxn~j6}&8xm=f`lG^+41m^{))OS6Jv5LYCWzv+Bu1+7IrviM#ki7PL$(X zTJUD;rtI`x(=}htlVX{}>HE{mBTKPw;qrW0SBowQ7S}D$rLKM1WToxlote_|ySsSa zySblJxQ*+UOqE_WJ#0%w-7W{k&Ni0yIWq!eH}g%1Or5L0Do8F=vpH|Zk~3mPMSL?C z%eq@LFOY3;PH)OId1AWh%;BS!mEs{bH{NbsapIG6)c5YU8!cWL{@Xik@@-??>9(i& zCo9-oh;QOtYwhpQq$nY|>;1zE1u`Zcc@|BK4yh&6dmFU>KR!D1Nby>O*8=yKI|dsk zO={y_w8wdSsGl!yv{dE3sY`C;tu6WLb2pRY>6xR3X3g7W(e^`l@UA^Z2RHi&Yl| z-A!c{ym=^e`qQmeVMS|7)~!+5I^TU}$Caa|6E95O;q^H=eCo5$#j^9yZC&&E<<7@% zl+BF)b?wM%jyucV8pSWLBxc&Hnt)#1}o zYwx|}oK#Y>&&M+Q(xxK?k#FxEwrsp5y=aEwHTPR@t**bisAncumGcKwtS`=7ZF#cq z%B+W5W`&qo|KYk1Iu(Ye$81V*Jlp5EAf3W#SFh{7d2uN`Iew{uVij-bhNZXdpE>Ye zE6r1IWZ8RXfrWF@yTdoD55M@aT=x{OOon{&r>EMwg&NHl*qh&;ydoHuFW_jc{J64% zWo=oFoax(pjEa|cUfWT=kN?c~mo8Hy?;nqB{kP_jpt9+)pxziY`BjWhw{DoxeN`sj za^EhNeN1f~Rw7F^R!^LF-2ijHcL$`U?fkaK^Xs%m&ua6uVs2ZgvE`k~ z;ceDMvvdRkPn|m{p!s>0S*UfNl|6ebe}=Eir31C8`z?(hxTN0L$n}kLPe#~=sO#@^ zYa@GWePt-~YJNd8hMEo*mY2*7I!H>N?d)o-e=n zfS9@7NhX!Rq)$yU^NMo|AFcSnv$A0SjP(B3$`Q_n4_O$GdhK@B_Tf~SlH~tf%u>&y zSnoo?ge9B@76fE2_munhs7>Kq<)h-_dFLi4A8*{0y#8I^vgpO{_c<_Fmc$=*e9yCR z`Lo!JO2J?EoXl^@o&We^&jX>I2e-ePdf@(}i{_$VbK_mb_nf-XA6{n>zaaGY?>R=z z9?O%xwqO6dvm)Z>orRMoO!DeqtQnZO-zG-QvtpfXzMk_@!Qc;zRhnNM;kY7VsM`9= ziMa81eg|fQ(E{m*s?p!``j@$R+Hw1LUrd~LDH9@paXt|1S+8kT3mJ#4j*eLV^_Q$}uq0D~*_%aQVoy#x`C`YqC4RTn7C$hTKhi6q zci_;)@ck0p<^dJoQ)gURJ7LSo#uX1GXU#AUv4}jq;6%fvIoH=Fu1jvPzLi#&xah;) zD*sAkU5kFN!8MIKdUN z6IPg8w5d;**<0A_^(@QRy6UoP?pF~pwWuFvQLc)Ki~n8PS@$B)^^@J-*X#d3*=Vn% zU;o1<{_wmb$^Mrj|GS1uIExBT()oK*$k%YX+oHKDt}oS2es+i!*`JWVwVMB;NYmCt z%Tzw!wu>$tpHqeRY~8TTP+#Zzzm*QZIi3Ew$u%Eba$EiK#3`wg(S}c|Q~ds{>Ja0& z`D&x(h8vvI*m|}^vRl}dEHTI_V6=4jvY~L=($J7;B9~9pH3+CGo^sm9=k>BsD)sss z(Z{L#ySp=wh$ndU&;IHE<=%%-nMzCcZ0nWsEIEzKCkQ>WyCEjb;b^evY17BuQlAdh z{k`jd>6hTj;OlpPH8sBriV-?B+xtgSTfx3%hFr^^D6&qOpci2E>(d>RNrG*b>nEe|XSImTgZ&m)}Qb(vYqW6{*|1LBkZEO;Eh>QZwu z({UE})Fw8j2NtRgrd|wcOF!*>!SZVk%NgMVlZzKI_iS_f{`Bus_WzZFxk9SjXBsd| z{hiP2-QR!hNpo-7l%2m;88@YCn%2uz$MIiuFx=ST z&zd?s_CB5V?%|EU3$$~Mc`R!ExIGVUI2iit^+G>+8DVcRi4wOr(=}=oh1RcL+{r3& zaleV8H)nrQhUdjgyL{IysM@9Z>u$LAa_^p5on{@i7npqKPY5_y@V+7W#YL8-lUwI0 z{Vm?hzUmau=KX@6yk~b0QJXSEFD_<}|Ae;O_jfGGyw=d6lhxXsEa5mc17Vi9Yg&)wM*UPSfW zSn*C)AYA@HobP+BvInw)9s3&ZC^ugAm(%@OHaA4yuW-__i_#89_vIbaH)VfU+IU!S z@4YpNf6w-(Su(Adzf!7iL50<xY$wE6F9?Z(I&vB#=Q z%O37j<+I=Suw}Vu%$oN}wYrBTtKKSxFW(v>c)&dDp{Dhot6~!z8|sW##CD$Zkusdj z^uMkreT(C>l{PiHO4tA0GAr86G|@WCp6T`US6;z=8auOPoT9`QvOhc%C9>LnX8(yh zPWC*#GbTiPmp`>ie%RA$EOstJ=Dr)p^tZe-*f$r=E@z*yk>`4pr}@>tCCmDAYF2YQ zAJnc|+{(eSGs>99_~@3!4W;U(zSE9#1+1Dp?KP8vb<{!oDbvrU)tM=Oe6g3&-8!ZH z{rQptlcO$96NK9JtS>Ys_h*-w=Pl?C@;zRZ-&U@3UGYfIv(LgC%>V3(HS?{QrLF(u z%bGJc{%m-2_FmJ5gRQ5Wx70>xYJA;XcTP`YBllgKbe(hh%nJ|wk7E;kz!?=Ocy-3! zE{(b;8;mxwMsGXzjL-FX<07;FuMaeNIJgHo++|mO5y;dRCtIHFJbi-PhJuORUng?^ z_B++s{Ujssj*+U+(#O+g7u^ZE^6l&)$-vYb2Y;?IPmSODr_EezX>AS=#cX#6U?zF|CNmK3L z{kpaN=>5LZH#N)rUtM&0&Q$&6Tb#+~I_La*=R?BZDcp?EOFay3zvkIuTUbM=YyUA@&@(|x|YJT=Fu zG*hfvuz!B}_jM|!o{0vRW$L@0$=#Lq7Jd54&&xkg=c4f0qkEX;%@_X2{8;!_fHnABD{J_c~|ySh~JDyMD>3@`WlZyyw_k2t^Yxyxu0!zdi)!xN;;cU^lTXf#IKQRu(f0I` zg6X#scbd3G%N+1Ky^(QE=aHrtpE6FF=YL5%`C{I`<`W<4Q|3>5dugG1?Xel}Rwd>O z{&+aYyko)n=NF&9-cVS3w`n80b+$T}XSehQVYe$kl@l4V+gsYLY`Q;VrSaYry?HE$Jw8pp#`~(>Tk`Gt^7m7|oXq_;+x6(T zMYBa8zC9?F?R~Z6p(2GqlM&!HsD$}@syb^kKi;K^2J=gK@ zIhHWh-gb4^i;eD??MnkU^7OPql>4tx0OVH;VhQj@|=b|!Sh+T8oFe^Gv5|lwXmb?rJ9%fmUovlzJ@QbO<^vK zY?NEQ$n)Lp(j}Y+d%k>+aEWZy`L(oYdtbt41CzTmi=JEsYc|Uz%YjywR!0M?Q zHz#)4mqlK`r#G=YcsWHvdGXmrms;odthz2*l%3n(N*3AtD!b`- zxJ)3k^JMN*?seDJEk9SZ;rF~HIVxh{p2W|XK6i8M-bB8&Zyo1+ z)GYi_e&0FjS#!s|OQEt(i!>KIs621GGcUov@c!S;DKZm|{I@+Sk<$D-A&}Mg+^)?R zSsnkqDSgb9`Ci3x&$Z*42lp=zj4(bVkh^=cvg04n=Dnc(uX<*h9$WMJ=kD|Ub)X}h zUF|u$vTtq|<+|@uX?}Um5~Ig!YUdoPy#8;c=e(^iW_mn&6@2B%w)H{+YchnoCB2XA zI_W9>a9-Yl8U3?jPt^s-Jl-Qvd1Td-Z8N^E2{t|Q{rI^l)Z1|?|qTA zRSxklcbB|3i&^;N?7FjUP2ZeKVyEY=eS1aj^IyLFeRr?u*zz?AO1aN23HdeIwac_G z!+*Kxv6b@YM0wjzS#1&IKG<oL2uK_?H|JB zejB~Ho+Gy>M{bwjQknPb&MaGVBkWiX_vu+5MPD;aznksqbME{a*@fq=h5HKk{GPW= zBU{h4TxYWVr20u;bdNbUh3}TvlysRdkd*)Ct<3UhuHVtU)@gMwF5gS>oo9JBWuM>Q zlPgr#KAiS^YqE<)^kt9oWmS(_TfY8TGGEAlZ~gzr^8Xiax!cUP=Sxs|ErTeh>&^z1 z8wLzP;{Cn%-}BDg?_&7V+tr2pS6mB-clagPY`|$5efc$l)H&=D^qlEpB{y2H(Bip5KL7UGmnO}Es^MRP< zo{k4}Z+)8H8r(nGS7!46`@7z+KX|t@&A7hF{c*3n&r?}B$>k?rRJs*j;@o!nlFNiG zZUSqYM4gl_mRh+NzgjG8&!%3Lsd&2I+v#i7YxmhMo(rA-PT?u9T~zVKqUx~5yU!OY z(p>HB{(m~ZU-13((ih(@A343?ZDCE7rCn$I>*c?T>s)wW9*t?<6Vv=Dxc;Zhr2og> zi2PW5JZ{C^Yqvl9-27!)D)Qs9PPzRx&DbKIy#<@kYVqqXo^az%${(}&?N2o8o~4Us zKFaI~7P*i%BmcF=(bFw0jEP-8INd(2Fp=n(=q^3u_Y=di_YFsntM>~1Wimc8Og*KBwu7m(g@Rx;`C*}3iCy4BwO)LXNffA4G~x732w2Xovmv6_MBc83vJC4u(ut%gZN-v(nY(BT| zN{=Q(es)I2yIh+*-+I12^Qf@zf_03nY&dVhqo^CXjawdEdF(4Or|9R#N{iU~7l{+^ zuRGN8;gG43#O%jg{vXJ0^kt80SQVvzamVge(@t=@uS_uws*1>Zv^Z|Hx2*fqFJZg0 z7^2!PzFtwX@pEil=b@GUdwo@I6qdaS4|*}td7ta2w~~8S3bHcJRdC)d6`y?n%{m$3 zfUuYQHy>JkqTm1C~-FZOYZ zeGSge`p~oSxCq1LT0XhoRX!Z`wH|ZNE8p33^v<@>*D8~0{%HtXb=Wf2M}3-Z;C1s| zUw9Pfxf_qSh`v`jKgl$};@RVjtDiz_Ke702H=QOFXs3Vmc$)UFy<22T8{^&W>u1NO zyDJ_HWBsumbQ|xo&3Cz`mdyzHf9u18`nyYJOPqeaVDp@FMcX3J`B|miuGdg6wn{s* zCRML`Z}MW%9h=s=^xkYbcWk%Al8GsIOt}}$@LLwA-0|h=`!y1$>TYCb9^2EAH?3Mx z>ihLKZ*9IceBkQcHA%~~_Ony(njHPvg&X3lvwHlRm?IqT zzYq*~{pU+YAk#^esEegpv&7%5UCI@DvhvEB2Y)0Z@`SELx(3H_nx7P^++F_3{_KXE zEx~85f1GwP>*%$gW$z8&>8Uy=T-kPTs@TDYH*ZABtnDbQeyTr>xvHB#voYc@gYvW+ zcaN+w;yba+@wz_W=Cw~0H@8^Uo)A1M%sF+*Tppcmz0D>qDmqD728*%`PF-<0KRHKB zw{XQ0Ri0DYnj)Ob@(wNVOEGe}+{(rELncwF+q0vYtF}APkKr!E?sIqDAKuGhXuezt}@%f)J8&WP@@mCWpt+=_st9-`GG+&wf zOHN1&=2vX%e7Vo&!Q|%4^6g(7?&lsk_tMXtYm_xqj?47N*;mG$*A*L&;KZ0J1g{9^vgX}0}0oL-%G zev@)riK{rcX4m=k({?5qTPjcXR=3f#HeF=t<5m2l{(ZRB3;Cxxzj}X_sa}0>cWqjT ztJa#d3#M(qZaFuF|5M>oN_u)bTv5t~c~SKl+w2=UIZ@niN;#`eUF18YZE-DppNIW| z%BL#vvkX#&Z1RL>WS(_t)~Vy~SNf{r`c^@z%6PN2^AWD)XM!#l)PJ`-f2Ka9@4Ty; z?YgKh|7V+@T9kgN_-4Z7y30~q+6Aqzn7OYue7$#i!neAE(zYV|mhBY}vR_bbT4SVN zxTWRZ2bE}EmxjMh&F7oM=C>>GEf%!x;5_nCJel8DZo|Jb^Owc5h>Fj$;mwc^{?^-g z*U?MICs z&q@UYr2-$!GJ9pDv^AvEYN2b{H46n9AJ?~a6D%f$GIjoZ7+qD@Id9RTiMOO$y*U(L zmG5~GD5=`vAK{eNbm*Cs(T39Fd1+aPwx60-!T!Fk&~71X(GB&dm12=D-hKLs)1QS( zlvOIZiY;54TBS5+L*DXy%a~{5fi)SmACNZQpSjg?}XS9q??_A3qZLgVi?wo7N8=Z8u>V1Nn zmuo1vP1$uQ`O)Wn0r4|tUft#H)Bo*#-I>J`?$m5Lva;*$UegVlSD$jtnOius#dy*E zcRo(yA6KRe_js&J6}goeVz{y3_O2*x;f+2@pZp%Ot$tFSUwSPucF6;Ym`^v0V@q}H zLd2%4sAlTDcegvCKhO0^+Lj{gu(Yqc6@MLmobfBodUn=9c2&k>*^g_=H<)gJ9IoC&72nj0 z^1o{y?JpH!fB)SrvVOk7{Rdl>^x|KrmrTBHcKfgC(WT9&E!mUHW@n!ES5V1W;IL{> zShM!xc^#GPI~IQX^ufMYYsH#(M?)HRN>=im{W;CY=$F71tBkAq8>}+=PdvQD6k~SP z$-L7w*ulmno^#eKhdtN5Hhzf=y6RuJpzJ{Ww%x7r4pDyGa)nbDC2-nYKYw3SCf3&W z?u_-jK7uxjsfY2~f35p{z5o9g`xk!oRm;onPLVu1WdiSl_UD~K`Y$uB?baAAbG^E* z)W$?L_OfP7y$t7k#K76mbxc`!KWq(`3r$?V;Sc3-@Mas28Yc*Z7n!xjUs>%yg5Mrg_AD3;QX( zo5deT-c0*{_d@2sg+8C3ZeKjzHQ!vquF}TY?&7x0^(;5oypMeg%2VLFEa97CJ@<+H zgM`=StFNks&)~V>@XTb7k_o9nc-|E|Um%p#n zHqbDOJy6V2QOC7>8snD^$7|Zwm*O>c&iUKQpSB^PBZ0Yame>V`=7*P*b(ep;mF5_B zS(W|TiFn7;^YsqP8Vi1$yMA(65G5WpE%y~`_F@8c$S77I({iCV(LX*u9r;*FR#+v-YnlIICbLmRT8WD9X_%5 zCP$qVoy4ovbBn!0EUrq#Or^GYlA_1S6t~V!{$)v3bEo#Kl(?Jn|7Ya7jkDbz1|1A= z;NP{1$I_M0;Fi?eo@?$bTMt<*-J2%DtYM*6!RQ&ac+z)1?hiWJ-w(`ZxRm0SSF&;` zkFMuT-aEDNttD@BxBi~UBz5dg4DT7;30hBHmqgy5|3K=P8ppcxlbB~}iLW}%en|92 zSpT7wuQq0cx8|s7hRupte>%@&;_VZAgah-ESBO2SN)ThYH|zSrOC78yMT2fNdGM@> z60j3kcVJtT!17gpqXk4aOe&rGv!-1@4kKh?3h^d|JU#9CTW>}G~8JK zkelz7d2-C3ozuS0Jbp3F_Lt6rn9JwaT#|}=_TfR}n!`dyUh)wE_HCv5S=x%pLQB;Y ze8u}aZ96u$+k88^H)ERo-emQ6R*h@58qH0e6K8A)eq*7s*!*?r&ntmZ<|H-;F4s_r)m|FE#0oWLH*AdajL*K5{HwL<*NY2Pa?+N%w{{*|Zg}PH z5yk$>cT(?nPujHA{Z{gq1Zn&Dt#59;OLU1jnSS1C%BAFQJ2l?qnzx8t`lM!j!*4=# z^q+F})s2U^iZmSLOuPqD4FsI))orpT-28uS zGaK`R@0-^y3Vpw0gOlQ{$Iqs5_u2QqXa1OPw3J=)$`1$kQ*xFEZ?}ZWdP->K{WWmW zve?C-w#PnQ&F1(oHzzfp$L8+MW)~Bre&14Ap_0rm8MR;i=HH04l}@fgBGZ$sjD=uAu4tcH5_R{-1Ad+L{6<1Y~Hpa>EMj7-HP!=^92J^`?w$cJ6`;(ZZDU?wBr9ftewjB?*G)) z>X)^(-H3M&YyDT-RH$s`5L5B&Oisg&FJ~%mG(=Z-pO>%_j(mT(`(>q=@yQ8C=Fit& zDA#e-QfuL!ZPON9e{+Fx?kg@eh1VIA4tr;(oqSh2kN55cVFAr~I@&)4IX3WF>vlDM zef@q*Wbs*c!IDFt(>LXQXe)p4Mo8gm&EkJ{3KfSsZn*3;T=S?!&){t@pM9yS-ph&| z+BH2BPsTpAi_ z%(@)6$>kmQNB&@zh30GJ+MIRSl%D#&$XFti^tO@6KJ#z=>B<~;rVA+EZ_fVh zFX{B6#rbuA1N&z={wuBzm@W4iy$~>Xdr$Gl#g|$Yd3D>Jz1FL(dd7G7prU2K8^_a( zkG&#zRJ(&`cQ53z4B25Mr?p3~;6)RwxXzA*gPRf>nJ$;?NbpO$w)boG9q$tbp?s33 z&eUC=q$4*gzC85X>r?ubwm5mN}k!$ zsXLvvz1?E9!F6tI+r_ovr<#rwHk+7-*rp1e3XPEz7JALMbB31*&$818t@H|G7Wpey zzrW5>J7Ypv`C8uK_Ptv-iCG+&@M-z-#e5=a>n*m;wYkRq=-@od;yEQv%PV>xmAE=w zJ|0vkp8R*eh?-O1!vA~g&HA&ocb^JbGxk!Tog#Kxy>o4oW#*P$m~f6wxWa)lm9WzVUJQlD(^ogVAUYgzL=MEg!gR`Z|z zd+w`3#s|bdXFaU z&1*Dl>2o!*Zy!UhUNHRD8lKT9zkK4!{+vbkTV5Eizuz}`LDsG3 z-&xN$*?s?|S|RjU_vfBJ_1OQ!DaZicgtXRt-y++&~q{mbpo%d0x$ zrPiBmX4x7yKkFLzZ*Jf*>x2Mf6By=p*s!Kf;;5fTWR((a|Ojhwbb2b`E-a1~Y zb|O#siqzXDHTUJZ-~3-A{pCyT{-8IT&2`uNbZs-8nn?f-25FCXB|$Rx)s z!oa}5!5~&f%IyB4nt*~_gR9@%VT zuVQ0hn83%tz=h(%WJkDxFbDo!gV(&+JZp!W%lqs9`V)=j>^sZ zUNSQ$_JjpQ4Sp9p zC0aXZ^6z`ErO&{?XT-=LiDGX4Ms#!ii!#$Q^AdAl#&fsf4d+`vuJ)n4s|~RS$eRb~ z#v>()9{d4vw93jMEa=Uh4@?XUksRomqw68E$w2;FL+JWugRi!d+1_o9Q zbW@K!K{nMVwE`9jE1%;v^;C$pgU0gKbH7Cy7*6}5=ZuyQXr>}Lx2FJa@bVPe*>8V6 z)A)`I1H;!Cbc4^ZF@j47NY3y{tw0K0^Np?e67tz9D~J5lx7XyE85kB}gzi^mWP_1R zU4%b$EAy-z{2F{;1we}))I=Po&d89GpR5mYE;!dEWhQ}(v{WCw;oF{V<#3X>T#YN3 zfnnW6MzqZFOB=)7oXQHYxp&?0nmZ}m%Auqxt1P~piD6?C6Wm--ow%eipdQ2Af)q#* z`~|W01hXC7o=@cPGrR%87B#tf-3kVB#XQnmTwui6aCtsRmDULO0klYv2d oGA~;B^Kb_Xrok1^O4A#g$*gQ3uSzgTFsO1cFlZLDGB7Xz0NGIRod5s; literal 0 HcmV?d00001