In this paper, we study the method of the Chinese Part-of-Speech tagging and analyze the rule method and the statistic method.
本文对词性标注的方法进行了研究，分析了基于规则的方法和基于统计的方法的优缺点。
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。
In order to set up part of speech tagging corpus efficiently, one practical Chinese syntax compilation and analyse assistant system is designed and implemented.
为高效地建立句法标注语料库，设计研发了一个实用的中文句法编辑与分析辅助系统。
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 disambiguation of multi-category words is one of the difficulties in part-of-speech tagging of Chinese text, which affects the processing quality of corpora greatly.
兼类词的词类排歧是汉语语料词性标注中的难点问题，它严重影响语料的词性标注质量。
This paper first explores unsupervised part-of-speech tagging for Chinese via monolingual corpus.
本文首先探索了基于单语料库的无监督中文词性标注。
We analyzed, designed and achieved a module of Chinese word segmentation and Part-Of-Speech Tagging based on Condition Random Fields model.
分析、设计和实现了一个基于条件随机场模型的汉语分词和词性标注模块。
We analyzed, designed and achieved a module of Chinese word segmentation and Part-Of-Speech Tagging based on Condition Random Fields model.
分析、设计和实现了一个基于条件随机场模型的汉语分词和词性标注模块。
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