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。

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)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

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)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。