Question

我曾试图将古兰经圣书中的一个词语弄清楚，但有些词语不能被词形化。

这是我的一句话：

sentence = "Then bring ten surahs like it that have been invented and call upon for assistance whomever you can besides Allah if you should be truthful"

该句子是我的txt数据集的一部分。正如你所看到的那样，那些＆＃34; surahs＆＃34;这是＆＃34; surah＆＃34;的复数形式。我已经尝试了我的代码：

def lemmatize(self, ayat):
    wordnet_lemmatizer = WordNetLemmatizer()
    result = []

    for i in xrange (len(ayat)):
        result.append(wordnet_lemmatizer.lemmatize(sentence[i],'v'))
    return result

当我运行并打印时，结果是这样的：

['bring', 'ten', 'surahs', 'like', u'invent', 'call', 'upon', 'assistance', 'whomever', 'besides', 'Allah', 'truthful']

＆＃39> surahs＆＃39;并没有变成“surah＆＃39;。

。”

任何人都可以说出原因？感谢。

Answer 1

见

对于大多数非标准英语单词，WordNet Lemmatizer对于获取正确的引理并没有多大帮助，请尝试使用词干分析器：

>>> from nltk.stem import PorterStemmer
>>> porter = PorterStemmer()
>>> porter.stem('surahs')
u'surah'

另外，请尝试earthy中的lemmatize_sent（nltk包装，“无耻的插件”）：

>>> from earthy.nltk_wrappers import lemmatize_sent
>>> sentence = "Then bring ten surahs like it that have been invented and call upon for assistance whomever you can besides Allah if you should be truthful"
>>> lemmatize_sent(sentence)
[('Then', 'Then', 'RB'), ('bring', 'bring', 'VBG'), ('ten', 'ten', 'RP'), ('surahs', 'surahs', 'NNS'), ('like', 'like', 'IN'), ('it', 'it', 'PRP'), ('that', 'that', 'WDT'), ('have', 'have', 'VBP'), ('been', u'be', 'VBN'), ('invented', u'invent', 'VBN'), ('and', 'and', 'CC'), ('call', 'call', 'VB'), ('upon', 'upon', 'NN'), ('for', 'for', 'IN'), ('assistance', 'assistance', 'NN'), ('whomever', 'whomever', 'NN'), ('you', 'you', 'PRP'), ('can', 'can', 'MD'), ('besides', 'besides', 'VB'), ('Allah', 'Allah', 'NNP'), ('if', 'if', 'IN'), ('you', 'you', 'PRP'), ('should', 'should', 'MD'), ('be', 'be', 'VB'), ('truthful', 'truthful', 'JJ')]

>>> words, lemmas, tags = zip(*lemmatize_sent(sentence))
>>> lemmas
('Then', 'bring', 'ten', 'surahs', 'like', 'it', 'that', 'have', u'be', u'invent', 'and', 'call', 'upon', 'for', 'assistance', 'whomever', 'you', 'can', 'besides', 'Allah', 'if', 'you', 'should', 'be', 'truthful')

>>> from earthy.nltk_wrappers import pywsd_lemmatize
>>> pywsd_lemmatize('surahs')
'surahs'

>>> from earthy.nltk_wrappers import porter_stem
>>> porter_stem('surahs')
u'surah'

为什么NLTK Lemmatizer可以对一些复数词进行引理？

1 个答案: