This paper presents a Chinese named entity recognition system that combines the statistics-based and rules-based method.
文章介绍了一个中文命名实体识别系统，该系统采用了统计与规则相结合的方法。
In this paper, we extend a word-based trigram modeling to Chinese word segmentation and Chinese named entity recognition, by proposing a unified approach to SLM.
在本文中，我们提出了一种统一的统计语言模型方法用来汉语自动分词和中文命名实体识别，这种方法对基于词的三元语言模型进行了很好的扩展。
In named entity recognition this paper mainly researched the Chinese name recognition and identification of Chinese organization names.
在命名实体识别方面本文重点研究了中文人名的识别和机构名的识别。
The former includes Chinese word segmentation, part - of - speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc.
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
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