A Chinese word segmentation based on language situation in processing ambiguous words

Authors:
Mao-yuan Zhang;Zheng-ding Lu;Chun-yan Zou
Affiliations:
Department of Computer Science and Technology, HuaZhong University of Science and Technology, Wuhan 430074, PR China;Department of Computer Science and Technology, HuaZhong University of Science and Technology, Wuhan 430074, PR China;Foreign Language School, Central China Normal University, Wuhan 430079, PR China
Venue:
Information Sciences: an International Journal
Year:
2004

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Abstract

While the processing of natural language is beneficial to the text mining. Chinese word segmentation is an important step in the processing of Chinese natural language. In this paper, the convergence essence of the segmentation process is analyzed, and a theory of Chinese word segmentation based on language situation is deducted. Based on the segmentation theory, an algorithm of Chinese word segmentation is presented. Both in theory and from the experiment results, the algorithm is efficient.