Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39926
Title: An algorithm for semantic chunk identification of Chinese sentences
Authors: Wang, R
Chi, Z 
Wang, X
Wu, T
Keywords: Chunk analysis
Semantic chunk
Chinese sentence analysis
Language understanding
Issue Date: 2007
Source: Proceedings of Tenth IASTED International Conference on Intelligent Systems and Control (ISC'2007), Cambridge, Massachusetts, U.S.A., 19-21 November 2007, p. 231-234 How to cite?
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.
URI: http://hdl.handle.net/10397/39926
Appears in Collections:Conference Paper

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