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。
This paper presents a Chinese named entity recognition system that combines the statistics-based and rules-based method.
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 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.
实验结果显示选取适当的特征数目、使用好的分词技术、使用命名实体识别技术都能改进中文话题追踪系统的性能。
The experimental result shows that the tracking performance will be improved by selecting proper features, using word segmentation system and using named entity recognition system.
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