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如何使用 Python 获得不同的单词形式。我想创建一个如下列表。

Work=['Work','Working','Works']

我的代码：

raw = nltk.clean_html(html)
cleaned = re.sub(r'& ?(ld|rd)quo ?[;\]]', '\"', raw)
tokens = nltk.wordpunct_tokenize(cleaned)
stemmer = PorterStemmer()
t = [stemmer.stem(t) if t in Words else t for t in tokens]
text = nltk.Text(t)
word = words(n)
Words = [stemmer.stem(e) for e in word]
find = ' '.join(str(e) for e in Words)
search_words = set(find.split(' '))
sents = ' '.join([s.lower() for s in text])
blob = TextBlob(sents.decode('ascii','ignore'))
matches = [map(str, blob.sentences[i-1:i+2])     # from prev to after next
            for i, s in enumerate(blob.sentences) # i is index, e is element
            if search_words & set(s.words)]
    #return list(itertools.chain(' '.join (str(y).replace('& rdquo','').replace('& rsquo','') for y in matches))
return list(itertools.chain(*matches))
4

1 回答 1

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这有点棘手。我试图查看文本中的词干形式，然后将其与单词列表进行映射。我也把它改成了小写，因为标记化并没有做到这一点，而且它映射得很好。下面是更新的代码

raw = nltk.clean_html(html)
cleaned = re.sub(r'& ?(ld|rd)quo ?[;\]]', '\"', raw)
tokens = nltk.wordpunct_tokenize(cleaned)
lower = [w.lower() for w in tokens]
stemmer = PorterStemmer()
t = [stemmer.stem(t) if t in Words else t for t in lower]
text = nltk.Text(t)
word = words(n)
Words = [stemmer.stem(e) for e in word]
find = ' '.join(str(e) for e in Words)
search_words = set(find.split(' '))
sents = ' '.join([s.lower() for s in text])
blob = TextBlob(sents.decode('ascii','ignore'))
matches = [map(str, blob.sentences[i-1:i+2])     # from prev to after next
        for i, s in enumerate(blob.sentences) # i is index, e is element
        if search_words & set(s.words)]
#return list(itertools.chain(' '.join (str(y).replace('& rdquo','').replace('& rsquo','') for y in matches))

返回列表（itertools.chain（*匹配））

于 2014-07-25T12:32:38.600 回答