improved generation of BNC dictionaries ; now called TopDictionary for clarity

This commit is contained in:
aarne
2014-04-10 13:07:05 +00:00
parent 7eb4097681
commit 0525c7837a
17 changed files with 26143 additions and 18180 deletions

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@@ -1,27 +1,80 @@
import qualified Data.Map
import Data.List
langs = words "Bul Chi Eng Fin Fre Ger Hin Ita Spa Swe"
createAllConcretes = do
createAbstract
mapM_ createConcrete langs
createAbstract = do
bnc <- readFile "bnc-to-check.txt" >>= return . words -- list of BNC funs
writeFile (gfFile "todo/tmp/TopDictionary" "") $
unlines $ ["abstract TopDictionary = Cat **{"] ++
[unwords ("fun":f:":": snd (splitFun f) :[";"]) | f <- bnc] ++ ["}"] -- print inspectable file, to todo/tmp/
createConcrete lang = do
bnc <- readFile "bnc-to-check.txt" >>= return . words -- list of BNC funs
dict <- readFile (gfFile "Dictionary" lang) >>= return . lines -- current lang lexicon
let header = getHeader dict
let dictmap = Data.Map.fromList [(f,unwords ws) | "lin":f:"=":ws <- map words dict]
let bncdict = [(f,maybe "variants{} ;" id $ Data.Map.lookup f dictmap) | f <- bnc] -- current lang for BNC
writeFile (gfFile "todo/tmp/Dictionary" lang) $
unlines $ header ++ [unwords ("lin":f:"=":[ws]) | (f,ws) <- bncdict] ++ ["}"] -- print inspectable file, to todo/tmp/
let dictmap = Data.Map.fromList [(f,unwords ws) | "lin":f:"=":ws <- map words dict] -- lin rules to a map
let bncdict = [(f,lookupFun f dictmap) | f <- bnc] -- current lang for BNC
writeFile (gfFile "todo/tmp/TopDictionary" lang) $
unlines $ toTop header ++ [unwords ("lin":f:"=":[ws]) | (f,ws) <- bncdict] ++ ["}"] -- print inspectable file, to todo/tmp/
gfFile body lang = body ++ lang ++ ".gf"
mergeDict lang = do
old <- readFile (gfFile "Dictionary" lang) >>= return . lines -- read old lexicon
new <- readFile (gfFile "todo/Dictionary" lang) >>= return . lines -- read corrected and new words
new <- readFile (gfFile "todo/TopDictionary" lang) >>= return . lines -- read corrected and new words
let header = getHeader new
let oldmap = Data.Map.fromList [(f,unwords ws) | "lin":f:"=":ws <- map words old]
let newlist = [(f,unwords (takeWhile (/= "--") ws)) | "lin":f:"=":ws <- map words new] -- drop comments from corrected words
let newmap = foldr (uncurry Data.Map.insert) oldmap newlist -- insert corrected words
writeFile (gfFile "tmp/Dictionary" lang) $
unlines $ header ++ [unwords ("lin":f:"=":[ws]) | (f,ws) <- Data.Map.assocs newmap] ++ ["}"] -- print revised file to tmp/
unlines $ fromTop header ++ [unwords ("lin":f:"=":[ws]) | (f,ws) <- Data.Map.assocs newmap] ++ ["}"] -- print revised file to tmp/
-- get the part of Dict before the first lin rule
getHeader = takeWhile ((/= "lin") . take 3)
toTop = map tt where
tt s = case s of
'D':'i':'c':'t':cs -> "TopDict" ++ tt cs
c:cs -> c : tt cs
_ -> s
fromTop = map tt where
tt s = case s of
'T':'o':'p':'D':'i':'c':'t':cs -> "Dict" ++ tt cs
c:cs -> c : tt cs
_ -> s
-- try to find lin rules by searching first literally, then subcategories in priority order
lookupFun f dictmap = case look f of
Just rule -> rule
_ -> case [r | Just r <- map look (subCats f), head (words r) `notElem` ["variants","variants{}"]] of
rule:_ -> "variants{}; -- " ++ rule -- cannot return it as such, as probably type incorrect
_ -> "variants{} ; -- "
where
look = flip Data.Map.lookup dictmap
subCats f = case splitFun f of
(fun,cat) -> case cat of
"V" -> [fun ++ c | c <- words "V2 V3 VS VQ VA VV V2S V2Q V2A V2V"]
"V2" -> [fun ++ c | c <- words "V3 V2S V2Q V2A V2V V VS VQ VA VV"]
"VS" -> [fun ++ c | c <- words "VQ V2S V2Q V2 V V2A V2V V3 VA VV"]
"VQ" -> [fun ++ c | c <- words "VS V2Q V2S V2 V V2A V2V V3 VA VV"]
"VA" -> [fun ++ c | c <- words "V V2A V2 V3 VS VQ VV V2S V2Q V2V"]
"VV" -> [fun ++ c | c <- words "V2V V V2 V3 VS VQ VV V2S V2Q V2V"]
"V3" -> [fun ++ c | c <- words "V2 V2S V2Q V2A V2V V VS VQ VA VV"]
"V2S" -> [fun ++ c | c <- words "VS VQ V2Q V2A V2V V2 V3 VA V VV"]
"V2Q" -> [fun ++ c | c <- words "VQ VS V2S V2A V2V V2 V3 VA V VV"]
"V2A" -> [fun ++ c | c <- words "VA V2 V3 V VS VQ VV V2S V2Q V2V"]
"V2V" -> [fun ++ c | c <- words "VV V2 V2 V VS VQ VV V2S V2Q V2V"]
"Adv" -> [fun ++ c | c <- words "AdV Prep"]
"AdV" -> [fun ++ c | c <- words "Adv Prep"]
_ -> []
splitFun f = case span (/='_') (reverse f) of (tac,nuf) -> (reverse nuf, reverse tac)

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@@ -1,8 +1,12 @@
abstract TopDict = Cat ** {
abstract TopDictionary = Cat **{
fun of_Prep : Prep ;
fun and_Conj : Conj ;
fun in_Prep : Prep ;
fun have_VV : VV ;
fun have_VS : VS ;
fun have_V2V : V2V ;
fun have_V2 : V2 ;
fun have_V : V ;
fun it_Pron : Pron ;
fun to_Prep : Prep ;
fun for_Prep : Prep ;
@@ -7846,4 +7850,4 @@ fun wildly_Adv : Adv ;
fun reformer_N : N ;
fun quantum_N : N ;
fun considering_Subj : Subj ;
}
}

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@@ -14,11 +14,11 @@
<H2>Call for contributions: the generic translation dictionaries of GF</H2>
<P>
<B>Wanted</B>: manual checking of TopDict???.gf files in
<B>Wanted</B>: manual checking of TopDictionary???.gf files in
<A HREF="http://www.grammaticalframework.org/lib/src/translator/todo">this directory</A>.
</P>
<P>
<B>Abstract syntax</B>: <A HREF="./TopDict.gf">TopDict</A>, the top-7000 English words from British National Corpus, as sorted by frequency
<B>Abstract syntax</B>: <A HREF="./TopDictionary.gf">TopDictionary</A>, the top-7000 English words from British National Corpus, as sorted by frequency
<A HREF="http://www.kilgarriff.co.uk/BNClists/lemma.num">here</A>.
</P>
<P>
@@ -63,6 +63,9 @@ Follow these steps for your language. For instance, ToCheckFre.gf, with Fre subs
A reasonable batch of revisions is 500 words or more, which should be doable in less than 2 hours. To avoid conflicts and overlapping work,
don't spend more than one day on a batch of work.
</P>
<P>
The already split senses are explained <A HREF="../senses-in-Dictionary.txt">here</A>.
</P>
<H2>Guidelines</H2>

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@@ -4,10 +4,10 @@ April 2014
==Call for contributions: the generic translation dictionaries of GF==
**Wanted**: manual checking of TopDict???.gf files in
**Wanted**: manual checking of TopDictionary???.gf files in
[this directory http://www.grammaticalframework.org/lib/src/translator/todo].
**Abstract syntax**: [TopDict ./TopDict.gf], the top-7000 English words from British National Corpus, as sorted by frequency
**Abstract syntax**: [TopDictionary ./TopDictionary.gf], the top-7000 English words from British National Corpus, as sorted by frequency
[here http://www.kilgarriff.co.uk/BNClists/lemma.num].
**Usage**: part of the general translation dictionaries, used for instance in the
@@ -41,7 +41,7 @@ Follow these steps for your language. For instance, ToCheckFre.gf, with Fre subs
A reasonable batch of revisions is 500 words or more, which should be doable in less than 2 hours. To avoid conflicts and overlapping work,
don't spend more than one day on a batch of work.
The already split senses are explained [here ../senses-in-Dictionary.txt].