摘要
研究了中文词性标注的一般方法和隐马尔可夫模型(hidden markov model,HMM)的基本原理,应用HMM进行中文词性标注,实验验证了HMM中文词性标注的有效性,最后分析了HMM的局限性和改进策略。
The general methods of Chinese part-of-speech tagging and basic principle of HMM are studied in this paper. The application and its implementing steps of HMM to Chinese POS tagging are given. The effectiveness of the method is proved in the verification experiments. Finally, the limitations of HMM and further improvement strategies are also proposed.
出处
《金陵科技学院学报》
2017年第1期20-23,共4页
Journal of Jinling Institute of Technology
基金
江苏省产学研前瞻性联合研究项目(BY2016012-02)
江苏省教育厅高校自然科学基金(16KJD520003)
关键词
词性标注
隐马尔可夫模型
文本信息处理
中文词性
part of speech tagging
hidden markov model
text information processing
Chinese part of speech
