cndict-0.2.4: src/Data/Chinese/CCDict.hs
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE TemplateHaskell #-}
{-# LANGUAGE CPP #-}
-- | Simplified Chinese <-> English dictionary with pinyin phonetics.
module Data.Chinese.CCDict
( CCDict
, Entry(..)
, load
, parse
, lookup
, ccDict
, Token(..)
, tokenizer
, tokenizer'
) where
import Control.Monad (mplus,guard)
import Data.Char
import Data.FileEmbed
import Data.List (foldl', sortBy)
import Data.Ord (comparing)
import Data.Map (Map)
import qualified Data.Map as M
import Data.Maybe
import Data.Text (Text)
import qualified Data.Text as T
import qualified Data.Text.Encoding as T
import qualified Data.Text.IO as T
import Prelude hiding (lookup)
import Data.Tree
import Data.Chinese.Pinyin
import Data.Chinese.Frequency
--------------------------------------------------
-- Dictionary
-- | Dictionary entry
data Entry = Entry
{ entryChinese :: Text
, entryPinyin :: [Text]
, entryDefinition :: [[Text]]
} deriving ( Read, Show, Eq, Ord )
type CCDict = Map Char CCTrieEntry
data CCTrieEntry = CCTrieEntry (Maybe Entry) CCDict
-- | Load dictionary from file.
load :: FilePath -> IO CCDict
load path = parse `fmap` T.readFile path
-- | Load dictionary from unicode text.
parse :: Text -> CCDict
parse txt = fromList [ entry | Just entry <- map parseLine (T.lines txt) ]
-- | O(n). Lookup dictionary entry for a string of simplified chinese.
lookup :: Text -> CCDict -> Maybe Entry
lookup key trie =
case T.unpack key of
[] -> Nothing
(x:xs) -> go xs =<< M.lookup x trie
where
go [] (CCTrieEntry es _) = es
go (x:xs) (CCTrieEntry es m) = (go xs =<< M.lookup x m) `mplus` es
lookupMatches :: Text -> CCDict -> Maybe [Entry]
lookupMatches key trie =
case T.unpack key of
[] -> Nothing
(x:xs) ->
case fmap (go xs) (M.lookup x trie) of
Just [] -> Nothing
other -> other
where
go [] (CCTrieEntry Nothing _) = []
go [] (CCTrieEntry (Just e) _) = [e]
go (x:xs) (CCTrieEntry Nothing m) = maybe [] (go xs) (M.lookup x m)
go (x:xs) (CCTrieEntry (Just e) m) = e : maybe [] (go xs) (M.lookup x m)
-- 点出发
-- [[点,出发],[点出,发]]
-- 出发点
-- [[出发]]
lookupNonDet :: Text -> CCDict -> Maybe [[Entry]]
lookupNonDet key trie = do
entries <- lookupMatches key trie
let longest = maximum (map (T.length . entryChinese) entries)
if longest == 1
then return [entries]
else return $ do
entry <- entries
let len = T.length (entryChinese entry)
case lookupMatches (T.drop len key) trie of
Just rest | len < longest -> do
next <- rest
guard (T.length (entryChinese next) + len > longest)
return [entry, next]
_nothing -> return [entry]
--------------------------------------------------
-- Tokenizer
data Token = KnownWord Entry | UnknownWord Text
deriving ( Read, Show, Eq, Ord )
-- Interesting case: 他的话 tokenizes to [他,的话] by both google translate and
-- MDGB. The correct tokenization is [他,的,话]. Not sure if it can be fixed without
-- adding an entry for 他的 in the dictionary.
-- TODO: Mark text inclosed in curly brackets as unknown words.
-- FIXME: 不想 should tokenize to [不,想]
-- FIXME: 那是 should tokenize to [那,是]
-- | Break a string of simplified chinese down to a list of tokens.
tokenizer :: CCDict -> Text -> [Token]
tokenizer = tokenizer'
--tokenizer trie inp = maximumBy (comparing score) (tokenizerNondet trie inp)
-- tokenizer trie inp = filter isValid $ go 0 inp inp
-- where
-- isValid (UnknownWord txt) = not (T.null txt)
-- isValid _ = True
-- go n unrecognied txt
-- | T.null txt = [ unknown ]
-- | otherwise =
-- case lookup txt trie of
-- Nothing -> go (n+1) unrecognied (T.drop 1 txt)
-- Just es ->
-- let rest = T.drop (T.length (entryChinese es)) txt in
-- unknown : KnownWord es : go 0 rest rest
-- where
-- unknown = UnknownWord $ T.take n unrecognied
_tokenizer_tests :: [(Text, [Text], [Text])]
_tokenizer_tests =
[ (input, result, tokens)
| (input, result) <- cases
, let tokens = flat (tokenizer' ccDict input)
, tokens /= result ]
where
cases =
[ ("多工作", ["多","工作"])
, ("有电话", ["有","电话"])
, ("回电话", ["回","电话"])
, ("不知道", ["不","知道"])
, ("定时间", ["定","时间"])
, ("这位子", ["这","位子"])
, ("十分钟", ["十","分钟"])
, ("有电梯", ["有","电梯"])
-- , ("家中餐馆", ["家","中餐馆"]) -- tokenizer needs to be more greedy to correctly
-- deal with this input.
, ("后生活", ["后","生活"])
, ("不愿意", ["不","愿意"])
, ("点出发", ["点","出发"])
, ("不会跳舞", ["不会","跳舞"]) ]
flat :: [Token] -> [Text]
flat tokens = [ entryChinese entry | KnownWord entry <- tokens ]
type NonDet = Tree [Token]
-- ppNonDet :: [NonDet] -> String
-- ppNonDet forest = drawForest (map (fmap (unwords . map ppToken)) forest)
-- where
-- ppToken (KnownWord entry) = T.unpack (entryChinese entry)
-- ppToken (UnknownWord txt) = T.unpack txt
-- compactNonDet :: NonDet -> NonDet
-- compactNonDet (Node a [Node b rest]) =
-- compactNonDet (Node (a++b) rest)
-- compactNonDet (Node a rest) =
-- Node a (map compactNonDet rest)
collapseNonDet :: [NonDet] -> [Token]
collapseNonDet forest =
case listToMaybe (sortBy (flip $ comparing snd) assocs) of
Nothing -> []
Just (Node entries rest,_score) -> entries ++ collapseNonDet rest
where
assocs = [ (node, nodeSum node)
| node <- forest ]
wordCount word = maybe 0 subtlexWCount (M.lookup word subtlex)
entryCount (KnownWord entry) = wordCount (entryChinese entry)
entryCount UnknownWord{} = 0
entriesSum = sum . map entryCount
nodeSum (Node entries _) = entriesSum entries
-- Enhanced tokenizer, mixed non-determistic and greedy algorithm
tokenizer' :: CCDict -> Text -> [Token]
tokenizer' trie inp = collapseNonDet (tokenizerNondet trie inp)
tokenizerNondet :: CCDict -> Text -> [NonDet]
tokenizerNondet trie inp = go inp
where
go txt | T.null txt = []
go txt =
case lookupNonDet txt trie of
Nothing -> do
--rest <- go (T.drop 1 txt)
--return (UnknownWord (T.take 1 txt) : rest)
return $ Node [UnknownWord (T.take 1 txt)] $ go (T.drop 1 txt)
Just es -> do
entries <- es
let len = sum (map (T.length . entryChinese) entries)
return $ Node (map KnownWord entries) $ go (T.drop len txt)
--rest <- go (T.drop len txt)
--return (map KnownWord entries ++ rest)
--case lookupExact word trie of
-- Nothing -> do
-- guard (len == 1)
-- rest <- go (T.drop len txt)
-- return (UnknownWord word : rest)
-- Just es -> do
-- rest <- go (T.drop len txt)
-- return (KnownWord es : rest)
--score :: [Token] -> Double
--score = sum . map fn
-- where
-- fn UnknownWord{} = 0
-- fn (KnownWord entry) | T.length (entryChinese entry) == 1 = 0
-- fn (KnownWord entry) =
-- case M.lookup (entryChinese entry) subtlex of
-- Nothing -> 0
-- Just freq -> subtlexWMillion freq
--------------------------------------------------
-- Dictionary trie
union :: CCDict -> CCDict -> CCDict
union = M.unionWith join
where
join (CCTrieEntry e1 t1) (CCTrieEntry e2 t2) =
CCTrieEntry (joinEntry e1 e2) (M.unionWith join t1 t2)
joinEntry :: Maybe Entry -> Maybe Entry -> Maybe Entry
joinEntry Nothing Nothing = Nothing
joinEntry Nothing (Just e) = Just e
joinEntry (Just e) Nothing = Just e
joinEntry (Just e1) (Just e2) = Just Entry
{ entryChinese = entryChinese e1
, entryPinyin = entryPinyin e1 ++ entryPinyin e2
, entryDefinition = entryDefinition e1 ++ entryDefinition e2 }
unions :: [CCDict] -> CCDict
unions = foldl' union M.empty
fromList :: [Entry] -> CCDict
fromList = unions . map singleton
singleton :: Entry -> CCDict
singleton entry = go (T.unpack (entryChinese entry))
where
go [] = error "singleton: Invalid entry."
go [x] = M.singleton x (CCTrieEntry (Just entry) M.empty)
go (x:xs) = M.singleton x (CCTrieEntry Nothing (go xs))
parseLine :: Text -> Maybe Entry
parseLine line | "#" `T.isPrefixOf` line = Nothing
parseLine line =
Just Entry
{ entryChinese = chinese
, entryPinyin = [T.unwords $ map toToneMarks $ T.words $ T.tail $ T.init $ T.unwords (pinyin ++ [pin])]
, entryDefinition = [splitDefinition (T.unwords english)] }
where
(_traditional : chinese : rest) = T.words line
(pinyin, (pin : english)) = break (\word -> T.count "]" word > 0) rest
-- /first/second/third/ -> [first, second, third]
splitDefinition :: Text -> [Text]
splitDefinition = filter (not . T.null) . T.splitOn "/"
--------------------------------------------------
-- Embedded dictionary
-- | Embedded dictionary.
ccDict :: CCDict
ccDict = parse $ T.decodeUtf8 raw
where
raw = $(embedFile "data/cedict_1_0_ts_utf-8_mdbg.txt")