A Method Integrating Rule and HMM for Chinese Part-of-Speech Tagging

摘要：

In this paper, we study the lexical category disambiguation and the disambiguation strategy using rule techniques and HMM (hidden Markov model) is introduced. With the above method, a system of disambiguation is materialized. The experimental results show that the tagging accuracy is raised by using rule techniques and hidden Markov model. The disambiguation accuracy of close test and open test is 92.97％ and 91.21％ respectively, and the overall accuracy is 97.84％ and 96.71％ respectively.

作者: Hui NING Hua YANG Zhihui LI

作者单位: Harbin Engineering University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）