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基于条件随机场的汉语词性标注方法研究
引用本文:谷川,田喜平.基于条件随机场的汉语词性标注方法研究[J].安阳师范学院学报,2010(5):6-8.
作者姓名:谷川  田喜平
作者单位:安阳师范学院,计算机与信息工程学院,河南,安阳,455002
摘    要:本文提出了一种基于条件随机场模型的汉语词性标注方法。该方法能够充分利用词的上下文信息作为特征。实验表明,该方法的标注效果明显优于基于隐马尔可夫模型和最大熵马尔科夫模型的方法。

关 键 词:词性标注  条件随机场  中文信息处理

The Research on Chinese Part-of-Speech Tagging Method Based on Conditional Random Fields
GU Chuan,TIAN Xi-Ping.The Research on Chinese Part-of-Speech Tagging Method Based on Conditional Random Fields[J].Journal of Aayang Teachers College,2010(5):6-8.
Authors:GU Chuan  TIAN Xi-Ping
Institution:GU Chuan,TIAN Xi-Ping(School of Computer , Information Engineering,Anyang Normal University,Anyang 455002,China)
Abstract:This paper presents a new method to part-of-speech tagging for Chinese texts based on conditional random fields.The method can take advantage of contexts of words as features.Experimental results show that the proposed method possesses better performance than that based on the HMM and MEMM.
Keywords:Part of speech tagging  Conditional random fields  Chinese information processing  
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