Combining Context Features by Canonical Belief Network for Chinese Part-Of-Speech Tagging
Hongzhi Xu, Chunping Li · 2008
Part-Of-Speech(POS) tagging is the essential basis of Natural language processing(NLP). In this paper, we present an algorithm that combines a variety of context features, e.g. the POS tags of the words next to the word a that needs to be tagged and the context lexical information of a by Canonical Belief Network to together determine the POS tag of a. Experiments on a Chinese corpus are conducted to compare our algorithm with the standard HMM-based POS tagging and the POS tagging software ICTCLAS3.0. The experimental results show that our algorithm is more effective. 1