An algorithm for semantic chunk identification of Chinese sentence

Authors:
Wang Rongbo;Chi Zheru;Wang Xiaohua;Wu Ting
Affiliations:
Hangzhou Dianzi University, Hangzhou, Zhejiang, China;Hong Kong Polytechnic University, Hong Kong;Hangzhou Dianzi University, Hangzhou, Zhejiang, China;Hangzhou Dianzi University, Hangzhou, Zhejiang, China
Venue:
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
Year:
2007

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Abstract

Natural language processing (NLP) is a very hot research domain. One important branch of it is sentence analysis, including Chinese sentence analysis. However, currently, no mature deep analysis theories and techniques are available. An alternative way is to perform shallow parsing on sentences which is very popular in the domain. The chunk identification is a fundamental task for shallow parsing. The purpose of this paper is to characterize a chunk boundary parsing algorithm, using a statistical method combining adjustment rules, which serves as a supplement to traditional statistics-based parsing methods. The experimental results show that the model works well on the small dataset. It will contribute to the sequent processes like chunk tagging and chunk collocation extraction under other topics etc.