自我定义引理化单词并附加到WordNetLemmatiz

Question

我想为柠檬化结果附加一些例外。例如，当我测试wnl.lemmatize('cookies')时，得到的结果是cooky，而不是cookie。如何将柠檬化结果更新为cookie

import nltk
from nltk.tokenize import word_tokenize
from nltk import pos_tag
from nltk.stem import WordNetLemmatizer 
wnl = WordNetLemmatizer()

def text_cleaning(text):
  text = text.lower()
  tok_list = [wnl.lemmatize(w,tag[0].lower()) if tag[0].lower() in ['a','n','v'] else wnl.lemmatize(w) for w,tag in pos_tag(word_tokenize(text))]
return ' '.join(tok_list)

Answer 1

通过查看发现的实现here，您可能可以执行以下操作

class WNWrapper(WordNetLemmatizer):
    def __init__(self, custom_transforms):
        self.custom_transforms = custom_transforms

    def lemmatize(self, word):
        if word in self.custom_transforms:
            return self.custom_transforms[word]
        super().lemmatize(word)

但这只有在

1）你知道哪些词你想改/不改

这是一个小数目。这显然不具有可伸缩性