Python is_cap_wordの例

コード例 #1

    def norm_parse(self, sentence):
        words = self.tokenizer.tokenize(sentence)
        if is_cap_word(words[0]):
            words[0] = words[0].lower()

        norm_words = []
        for word in words:
            if isinstance(word, tuple):
                # This is already a word normalized to the Treebank conventions
                norm_words.append(word)
            else:
                # rare words normalization
                norm_words.append((self.pcfg.norm_word(word), word))
        return CKY(self.pcfg, norm_words)

コード例 #2

ファイル: parser.py プロジェクト: joshstclair/pyStatParser

 def norm_parse(self, sentence):
     words = self.tokenizer.tokenize(sentence)
     if is_cap_word(words[0]):
         words[0] = words[0].lower()
     
     norm_words = []
     for word in words:
         if isinstance(word, tuple):
             # This is already a word normalized to the Treebank conventions
             norm_words.append(word)
         else:
             # rare words normalization
             norm_words.append((self.pcfg.norm_word(word), word))
     return CKY(self.pcfg, norm_words)

コード例 #3

def lower_first_word(tree):
    if len(tree) == 2:
        if is_cap_word(tree[1]):
            tree[1] = tree[1].lower()
    else:
        lower_first_word(tree[1])

コード例 #4

ファイル: normalize.py プロジェクト: CrazyPython/pyStatParser

def lower_first_word(tree):
    if len(tree) == 2:
        if is_cap_word(tree[1]):
            tree[1] = tree[1].lower()
    else:
        lower_first_word(tree[1])