Title :
A Method Integrating Rule and HMM for Chinese Part-of-speech Tagging
Author :
Ning, Hui ; Yang, Hua ; Li, Zhihui
Author_Institution :
Harbin Eng. Univ., Harbin
Abstract :
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.
Keywords :
hidden Markov models; natural language processing; speech processing; Chinese part-of-speech tagging; HMM; hidden Markov model; lexical category disambiguation; method integrating rule; natural language processing; Hidden Markov models; Industrial electronics; Tagging;
Conference_Titel :
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0737-8
Electronic_ISBN :
978-1-4244-0737-8
DOI :
10.1109/ICIEA.2007.4318501
