Hybrid Approaches for Automatic Segmentation and Annotation of a Chinese Text Corpus

This paper describes the hybrid approaches for automatic segmentation and annotation of a Chinese text corpus. Some experiment results are given. Hybrid approaches combine the rule-based method, the statistic-based method, and the automatic learning method. It is a good approach, and it can obviously improve the precision of segmentation and annotation of a Chinese text corpus.