在单个输入中选择多个正确的解析器

问题描述:

我想知道解析多个解析器可以成功的输入的最佳方式。我已经概述了我第一次失败的尝试和一个我希望可以变得更加习惯的不雅的解决方案。在单个输入中选择多个正确的解析器

比如我想莱克斯“号的”,“快速”和“狐狸”从下面的句子翻译成他们自己的数据构造:

"the quick brown fox jumps over the lazy dog". 

因此,考虑以下类型的构造函数:

data InterestingWord = Quick | The | Fox deriving Show 
data Snippet = Word InterestingWord | Rest String deriving Show 

我想解析的输出是:

[Word The, 
Rest " ", Word Quick, 
Rest " brown ", Word Fox, 
Rest " jumped over ", Word The, 
Rest " lazy dog"] 

这里有两种解决方案:

import Text.Parsec 
import Data.Maybe 
import Data.Ord  
import Data.List 

data InterestingWord = Quick | The | Fox deriving Show 
data Snippet = Word InterestingWord | Rest String deriving Show 

testCase = "the quick brown fox jumped over the lazy dog" 
-- Expected output: 
-- [Word The, 
-- Rest " ", Word Quick, 
-- Rest " brown ", Word Fox, 
-- Rest " jumped over ", Word The, 
-- Rest " lazy dog"] 

toString Quick = "quick" 
toString The = "the" 
toString Fox = "fox" 

-- First attempt 

-- Return characters upto the intended word along 
-- with the word itself 
upto word = do 
    pre <- manyTill anyChar $ lookAhead $ string (toString word) 
    word' <- try $ string (toString word) 
    return [Rest pre, Word word] 

-- Parsers for the interesting words 
parsers = [upto Quick, 
      upto The, 
      upto Fox] 

-- Try each parser and return its results with the 
-- rest of the input. 
-- An incorrect result is produced because "choice" 
-- picks the first successful parse result. 
wordParser = do 
    snippets <- many $ try $ choice parsers 
    leftOver <- many anyChar 
    return $ concat $ snippets ++ [[Rest leftOver]] 

-- [Rest "the ",Word Quick,Rest " brown fox jumped over the lazy dog"]   
test1 = parseTest wordParser testCase 

-- Correct 

-- In addition to the characters leading upto the 
-- word and the word, the position is also returned 
upto' word = do 
    result <- upto word 
    pos <- getPosition 
    return (pos, result) 

-- The new parsers   
parsers' = [upto' Quick, 
      upto' The, 
      upto' Fox] 

-- Try each of the given parsers and 
-- possibly returning the results and 
-- the parser but don't consume 
-- input. 
tryAll = mapM (\p -> do 
       r <- optionMaybe $ try (lookAhead p) 
       case r of 
        Just result -> return $ Just (p, result) 
        Nothing -> return $ Nothing 
      ) 

-- Pick the parser that has consumed the least.    
firstSuccess ps = do 
    successes <- tryAll ps >>= return . catMaybes 
    if not (null successes) then 
     return $ Just (fst $ head (sortBy (comparing (\(_,(pos,_)) -> pos)) successes)) 
    else return $ Nothing 

-- Return the parse results for the parser that 
-- has consumed the least 
wordParser' = do 
    parser <- firstSuccess parsers' 
    case parser of 
    Just p -> do 
     (_,snippet) <- p 
     return snippet 
    Nothing -> parserZero 

-- Returns the right result 
test2 = parseTest (many wordParser' >>= return . concat) testCase 

第一次尝试“测试1”,因为“选择”返回成功,当我真正想要的是同时消耗最少的字符成功的第一个解析器第一分析器不产生所需的输出。这是我接下来的尝试,通过保持输入被解析后的源位置,并使用源位置最低的解析器。

这种情况似乎很普遍,我觉得我错过了一些明显的combinator咒语。谁能提供更好的建议?

谢谢!

-deech

+0

作为一般观点 - 我不会急于使用Parsec进行NLP解析,它实际上是解析编程语言和结构化文本格式的工具。正在进行的Haskell NLP书似乎直接使用Prelude的“单词”和列表功能 - http://nlpwp.org/book/ – 2012-02-10 18:41:53

这是不是一个特别普遍的需求,但在这里是一个实现:

import Control.Monad 
import "parsec3" Text.Parsec 
import Data.Maybe 
import Data.List 
import Data.Ord 

longestParse :: [Parsec String() a] -> Parsec String() a 
longestParse parsers = do 
    allParses <- sequence [lookAhead $ optionMaybe $ try $ 
    liftM2 (,) parse getPosition | parse <- parsers] 
    -- allParses :: [Maybe (a, SourcePos)] 
    (bestParse, bestPos) <- case catMaybes allParses of 
    [] -> fail "No valid parse" -- maybe we can do something better? 
    successfulParses -> return $ minimumBy (comparing snd) successfulParses 
    setPosition bestPos 
    return bestParse 
+0

有趣的是,这不是一个常见的用例,并且给出您的答案,我想不是太遥远了。我非常喜欢你如何使用列表理解来过滤出成功的分析。谢谢! – Deech 2012-02-11 14:56:24

据我了解,你要反复分析给你看的第一个有趣的词。目前,您正在解析每个有趣的单词,并检查您找到的哪个有趣单词更接近。

我的建议是定义一个解析器来检查你现在是否在一个有趣的单词(只有一个选择可以成功,所以没有必要做比任何简单的选择更有用的东西)。然后你继续前进,直到第一个解析器成功,当碰到任何有趣的单词时会发生这种情况。这给了你第一个有趣的单词,因为在它包含任何有趣的单词之前你什么都不知道。

是的,这并没有回答确定哪个解析器匹配最短的问题。这避免了这个问题,通过解决实际问题而不关心哪个解析器匹配是最短的。

+0

感谢您的回答。问题是我有多个解析器可以成功。 Parsec有“尝试(...)(...)...”的成语,但像“选择”一样,它只挑选第一个成功的。我需要知道哪些解析器成功地使用了最少的输入。 – Deech 2012-02-11 14:54:11

+0

@Deech见编辑 - 我想更好地解释我自己 – Retief 2012-02-11 18:33:50