在进行文本分析、提取关键词时，新闻评论等文本通常是中英文及其他语言的混杂，若不加处理直接分析，结果往往差强人意。
下面对中英文文本进行分离做一下总结：
1、超短文本，ASCII识别。
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s = "China's Legend Holdings will split its several business arms to go public on stock markets, the group's president Zhu Linan said on Tuesday.该集团总裁朱利安周二表示，中国联想控股将分拆其多个业务部门在股市上市。"result = "".join(i for i in s if ord(i) < 256)print(result) |
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out:China's Legend Holdings will split its several business arms to go public on stock markets, the group's president Zhu Linan said on Tuesday. |
2、unicode编码识别
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import res = "China's Legend Holdings will split its several business arms to go public on stock markets, the group's president Zhu Linan said on Tuesday.该集团总裁朱利安周二表示，中国联想控股将分拆其多个业务部门在股市上市。"uncn = re.compile(r'[\u0061-\u007a,\u0020]')en = "".join(uncn.findall(s.lower()))print(en) |
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out:chinas legend holdings will split its several business arms to go public on stock markets, the groups president zhu linan said on tuesday |
中文的编码范围是：\u4e00-\u9fa5，相应的[^\u4e00-\u9fa5]可匹配非中文。
匹配英文时，需要将空格[\u0020]加入，不然单词之间没空格了。
以上这篇利用Python将文本中的中英文分离方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/sinat_36972314/article/details/79746291
