@article{jbp:/content/journals/10.1075/ijcl.6.si.04fen, author = "Feng, Zhiwei", title = "Hybrid Approaches for Automatic Segmentation and Annotation of a Chinese Text Corpus", journal= "International Journal of Corpus Linguistics", year = "2001", volume = "6", number = "3", pages = "35-42", doi = "https://doi.org/10.1075/ijcl.6.si.04fen", url = "https://www.jbe-platform.com/content/journals/10.1075/ijcl.6.si.04fen", publisher = "John Benjamins", issn = "1384-6655", type = "Journal Article", keywords = "TBED (Transform Based Error Driven)", keywords = "hybrid approach", keywords = "CLAWS (Constituent-Likelihood Automatic Word-tagging System) algorithm", keywords = "tagging", keywords = "HMM (Hidden Markov Model)", keywords = "rule-based approach", keywords = "segmentation", keywords = "Brill method", abstract = "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. ", }