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.