python 文本词汇，句子校正 autocorrect库的使用

from autocorrect import Speller

class Speller:
    def __init__(self, threshold=0, lang='en'):
        self.threshold = threshold
        tarfile = os.path.join(PATH, 
                               'data/{}.tar.gz'.format(lang))
        self.nlp_data = load_from_tar(tarfile)
        self.lang = lang

        if threshold > 0:
            print('Original number of words: {}'
                    .format(len(self.nlp_data)))
            self.nlp_data = {k: v for k, v in self.nlp_data.items() 
                            if v > threshold}
            print('After applying threshold: {}'
                    .format(len(self.nlp_data)))

    def existing(self, words):
        """{'the', 'teh'} => {'the'}"""
        return set(word for word in words
                   if word in self.nlp_data)

    def autocorrect_word(self, word):
        """most likely correction for everything up to a double typo"""
        w = Word(word, self.lang)
        candidates = (self.existing([word]) or 
                      self.existing(w.typos()) or 
                      self.existing(w.double_typos()) or 
                      [word])
        return max(candidates, key=self.nlp_data.get)

    def autocorrect_sentence(self, sentence):
        return re.sub(word_regexes[self.lang],
                      lambda match: self.autocorrect_word(match.group(0)),
                      sentence)

    __call__ = autocorrect_sentence

from autocorrect import Speller
correct=Speller()
correct.autocorrect_sentence(yoursentence)
correct.autocorrect_word(yourword)