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working on CLT sem
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aarne
@@ -114,6 +114,7 @@ Example-based grammar writing
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Linguistics
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- definition of linguistic ontology
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- describing language on this level of abstraction
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- coping with different problems in different languages
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- sharing concrete-syntax code between languages
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- creating a resource for other NLP applications
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@@ -162,6 +163,8 @@ Computer science
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Janna Khegai (Russian modules, forthcoming),
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Bjorn Bringert (many Swadesh lexica),
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Inger Andersson and Therese Söderberg (Spanish morphology),
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Ludmilla Bogavac (Russian morphology),
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Carlos Gonzalia (Spanish cardinals),
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Partik Jansson (Swedish cardinals),
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Aarne Ranta.
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@@ -194,6 +197,10 @@ CLE (Core Language Engine,
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- grammar specialization via explanation-based learning
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#NEW
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===Slightly less related work===
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[LinGO Grammar Matrix http://www.delph-in.net/matrix/]
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- English, German, Japanese, Spanish, ...
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- uses HPSG, implementation in LKB
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@@ -250,7 +257,7 @@ Complete inflection engine
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Basic lexicon
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- 100 structural words
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- 350 content words, mainly for testing
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- 340 content words, mainly for testing
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- these include the 207 [Swadesh words http://en.wiktionary.org/wiki/Swadesh_List]
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@@ -273,7 +280,7 @@ Phrases:
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declaratives, questions, imperatives, vocatives
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Tense, mood, and polarity:
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present, past, future, conditional ; similtaneous, anterior ; positive, negative
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present, past, future, conditional ; simultaneous, anterior ; positive, negative
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Questions:
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yes-no, "wh" ; direct, indirect
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@@ -300,9 +307,9 @@ proper names, pronouns, determiners, possessives, cardinals and ordinals
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100 structural words
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350 content words in a test lexicon
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340 content words in a test lexicon
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Lines of source code (4/3/2006):
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35 kLines of source code (4/3/2006):
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```
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abstract 1131
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english 2344
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@@ -334,20 +341,20 @@ Lines of source code (4/3/2006):
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```
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John walks.
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TFullStop : Phr -> Text -> Text
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(PhrUtt : PConj -> Utt -> Voc -> Phr
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NoPConj
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(UttS : S -> Utt
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TFullStop : Phr -> Text -> Text | TQuestMark, TExclMark
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(PhrUtt : PConj -> Utt -> Voc -> Phr | PhrYes, PhrNo, ...
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NoPConj | but_PConj, ...
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(UttS : S -> Utt | UttQS, UttImp, UttNP, ...
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(UseCl : Tense -> Anter -> Pol -> Cl -> S
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TPres
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ASimul
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PPos
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(PredVP : NP -> VP -> Cl
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(PredVP : NP -> VP -> Cl | ImpersNP, ExistNP, ...
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(UsePN : PN -> NP
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john_PN)
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(UseV : V -> VP
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(UseV : V -> VP | ComplV2, UseComp, ...
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walk_V))))
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NoVoc)
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NoVoc) | VocNP, please_Voc, ...
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TEmpty
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```
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@@ -435,10 +442,6 @@ Goal: eliminate the user's need of worst-case functions.
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===Language-dependent syntax extensions===
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#NEW
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===Special-purpose APIs===
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Syntactic structures that are not shared by all languages.
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Not implemented yet.
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@@ -448,12 +451,24 @@ Candidates:
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- ``Fre`` question forms: ``est-ce que tu dors ?``
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#NEW
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===Special-purpose APIs===
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Mathematical
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Multimodal
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Present
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Minimal
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Shallow
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#NEW
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===How to use as top-level grammar===
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#NEW
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===How to use the resource as top-level grammar===
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===Compiling===
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@@ -487,9 +502,6 @@ The MCFG parser works in some languages, after waiting appr. 20 seconds
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p -mcfg -lang=LangEng -cat=S "I would see her"
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p -mcfg -lang=LangSwe -cat=S "jag skulle se henne"
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p -mcfg -lang=LangNor -cat=S "jeg ville se henne"
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```
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Parsing in ``present/`` versions is quicker.
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@@ -559,8 +571,6 @@ Try out inflection patterns
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```
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#NEW
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#NEW
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@@ -576,6 +586,9 @@ We start a demo by
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===Efficient parsing via application grammar===
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Get rid of discontinuous constituents
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Examples: ``mathematical/Predication``, ``examples/bronzeage``
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#NEW
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@@ -584,19 +597,38 @@ We start a demo by
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===Specialization through parametrized modules===
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The application grammar is implemented with reference to
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the resource API
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Individual languages are instantiations
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Example: [tram ../../examples/tram/TramI.gfe]
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#NEW
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===Compile-time transfer===
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Instead of parametrized modules:
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select resource functions differently for different languages
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Example: imperative vs. infinitive in mathematical exercises
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#NEW
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===A natural division into modules===
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Lexicon in language-dependent moduls
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Combination rules in a parametrized module
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#NEW
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===Example-based grammar writing===
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Example: [animal ../../examples/animal/QuestionsI.gfe]
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#NEW
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