41 строка
1.7 KiB
Python
41 строка
1.7 KiB
Python
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT license.
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import jieba
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import logging
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jieba.setLogLevel(logging.INFO)
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from nltk.tokenize.util import align_tokens
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from .Stopwords import Stopwords
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class ChineseTokenizer(object):
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def __init__(self, tokenizer='jieba', remove_stopwords=False):
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self.__tokenizer = tokenizer
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self.__remove_stopwords = remove_stopwords
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if self.__remove_stopwords:
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self.__stop_words = Stopwords.chinese_stopwords
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else:
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self.__stop_words = None
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def tokenize(self, string):
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if self.__tokenizer == 'jieba':
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tokens = list(jieba.cut(string))
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if self.__remove_stopwords:
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tokens = [word for word in tokens if word not in self.__stop_words]
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return tokens
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def span_tokenize(self, string):
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if self.__tokenizer == 'jieba':
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tokens = self.tokenize(string)
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spans = align_tokens(tokens, string)
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return spans
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if __name__ == '__main__':
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import os
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# nltk.data.path.append(r"C:\Users\wutlin\OneDrive - Microsoft\workspace\DNNMatchingToolkit\dataset\nltk_data")
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tokenizer = ChineseTokenizer(tokenizer='jieba', remove_stopwords=True)
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print(tokenizer.tokenize("我爱北京天安门，天安门上太阳升。"))
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print(tokenizer.span_tokenize("我爱北京天安门，天安门上太阳升。"))
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print(tokenizer.tokenize("给每一条河每一座山取一个温暖的名字；陌生人，我也为你祝福；愿你有一个灿烂的前程；愿你有情人终成眷属；愿你在尘世获得幸福；我只愿面朝大海，春暖花开。"))
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