当前位置 博文首页 > Python容错的前缀树实现中文纠错

    Python容错的前缀树实现中文纠错

    作者:王大呀呀 时间:2021-08-02 18:12

    目录
    • 介绍
    • 实现
    • 参考

    介绍

    本文使用 Python 实现了前缀树,并且支持编辑距离容错的查询。文中的前缀树只存储了三个分词,格式为 (分词字符串,频率) ,如:('中海晋西园', 2)、('中海西园', 24)、('中南海', 4),可以换成自己的文件进行数据的替换。在查询的时候要指定一个字符串和最大的容错编辑距离。

    实现

    class Word:
        def __init__(self, word, freq):
            self.word = word
            self.freq = freq
    
    class Trie:
        def __init__(self):
            self.root = LetterNode('')
            self.START = 3
    
        def insert(self, word, freq):
            self.root.insert(word, freq, 0)
    
        def findAll(self, query, maxDistance):
            suggestions = self.root.recommend(query, maxDistance, self.START)
            return sorted(set(suggestions), key=lambda x: x.freq)
    
    
    class LetterNode:
        def __init__(self, char):
            self.REMOVE = -1
            self.ADD = 1
            self.SAME = 0
            self.CHANGE = 2
            self.START = 3
            self.pointers = []
            self.char = char
            self.word = None
    
        def charIs(self, c):
            return self.char == c
    
        def insert(self, word, freq, depth):
            if ' ' in word:
                word = [i for i in word.split(' ')]
            if depth < len(word):
                c = word[depth].lower()
                for next in self.pointers:
                    if next.charIs(c):
                        return next.insert(word, freq, depth + 1)
                nextNode = LetterNode(c)
                self.pointers.append(nextNode)
                return nextNode.insert(word, freq, depth + 1)
            else:
                self.word = Word(word, freq)
    
        def recommend(self, query, movesLeft, lastAction):
            suggestions = []
            length = len(query)
    
            if length >= 0 and movesLeft - length >= 0 and self.word:
                suggestions.append(self.word)
    
            if movesLeft == 0 and length > 0:
                for next in self.pointers:
                    if next.charIs(query[0]):
                        suggestions += next.recommend(query[1:], movesLeft, self.SAME)
                        break
    
            elif movesLeft > 0:
                for next in self.pointers:
                    if length > 0:
                        if next.charIs(query[0]):
                            suggestions += next.recommend(query[1:], movesLeft, self.SAME)
                        else:
                            suggestions += next.recommend(query[1:], movesLeft - 1, self.CHANGE)
                            if lastAction != self.CHANGE and lastAction != self.REMOVE:
                                suggestions += next.recommend(query, movesLeft - 1, self.ADD)
                            if lastAction != self.ADD and lastAction != self.CHANGE:
                                if length > 1 and next.charIs(query[1]):
                                    suggestions += next.recommend(query[2:], movesLeft - 1, self.REMOVE)
                                elif length > 2 and next.charIs(query[2]) and movesLeft == 2:
                                    suggestions += next.recommend(query[3:], movesLeft - 2, self.REMOVE)
                    else:
                        if lastAction != self.CHANGE and lastAction != self.REMOVE:
                            suggestions += next.recommend(query, movesLeft - 1, self.ADD)
            return suggestions
    
    
    
    def buildTrieFromFile():
        trie = Trie()
        rows = [('中海晋西园', 2),('中海西园', 24),('中南海', 4)]
        for row in rows:
            trie.insert(row[0], int(row[1]))
        return trie
    
    
    def suggestor(trie, s, maxDistance):
        if ' ' in s:
            s = [x for x in s.split(' ')]
        suggestions = trie.findAll(s, maxDistance)
        return [str(x.word) for x in suggestions]
    
    
    if __name__ == "__main__":
        trie = buildTrieFromFile()
        r = suggestor(trie, '中海晋西园', 1)
        print(r)

    分析

    结果打印:
    ['中海晋西园', '中海西园']

    可以看出“中海晋西园”是和输入完全相同的字符串,编辑距离为 0 ,所以符合最大编辑距离为 1 的要求,直接返回。

    “中海西园”是“中海晋西园”去掉“晋”字之后的结果,编辑距离为 1, 所以符合最大编辑距离为 1 的要求,直接返回。

    另外,“中南海”和“中海晋西园”的编辑距离为 4 ,不符合最大编辑距离为 1 的要求,所以结果中没有出现。

    参考

    https://github.com/leoRoss/AutoCorrectTrie

    jsjbwy
    下一篇:没有了