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

Author: Zhiwei F.¹

Source: International Journal of Corpus Linguistics, Volume 6, Special Issue, 2001 , pp. 35-42(8)

Publisher: John Benjamins Publishing Company

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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.

Keywords: segmentation; tagging; hybrid approach; rule-based approach; HMM (Hidden Markov Model); CLAWS (Constituent-Likelihood Automatic Word-tagging System) algorithm; TBED (Transform Based Error Driven); Brill method

Language: English

Document Type: Regular paper

DOI: 10.1075/ijcl.6.3.04fen

Affiliations: 1:

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