有没有办法正确删除单词中的时态或复数？

Question

是否有可能使用nltk改变跑步，帮助，烹饪，发现和愉快地运行，帮助，烹饪，寻找和快乐等词语？

Answer 1

在nltk中实施了一些词干算法。看起来Lancaster词干分析算法对您有用。

>>> from nltk.stem.lancaster import LancasterStemmer
>>> st = LancasterStemmer()
>>> st.stem('happily')
'happy'
>>> st.stem('cooks')
'cook'
>>> st.stem('helping')
'help'
>>> st.stem('running')
'run'
>>> st.stem('finds')
'find'

Answer 2

>>> from nltk.stem import WordNetLemmatizer
>>> wnl = WordNetLemmatizer()
>>> ls = ['running', 'helping', 'cooks', 'finds']
>>> [wnl.lemmatize(i) for i in ls]
['running', 'helping', u'cook', u'find']
>>> ls = [('running', 'v'), ('helping', 'v'), ('cooks', 'v'), ('finds','v')]
>>> [wnl.lemmatize(word, pos) for word, pos in ls]
[u'run', u'help', u'cook', u'find']
>>> ls = [('running', 'n'), ('helping', 'n'), ('cooks', 'n'), ('finds','n')]
>>> [wnl.lemmatize(word, pos) for word, pos in ls]
['running', 'helping', u'cook', u'find']

请参阅Porter Stemming of fried