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A Semantic Matching of Information Segments for Tolerating Error Chinese Words

  • Maoyuan Zhang
  • Chunyan Zou
  • Zhengding Lu
  • Zhigang Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4255)

Abstract

There exist new words and error words in Chinese information of web pages. In this paper, we introduce our definition of semantic similarity between sememes and their theorems. On the base of proving the theorems, the influence of the parameter is analyzed. Moreover, this paper presents a novel definition of the word similarity based on the sememe similarity, which can be used to match the new Chinese words with the existing Chinese words and match the error Chinese words with correct Chinese words. And also, based on the novel word similarity, a matching method of information segments is presented to recognize the category of Chinese web information segments, in which new words and error words occur. In addition, the experiment of the matching methods is presented. Therefore, the novel matching method is an efficient method both in theory and from experimental results.

Keywords

Semantic Similarity Semantic Relation Match Method Semantic Network Information Item 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Maoyuan Zhang
    • 1
    • 3
  • Chunyan Zou
    • 2
  • Zhengding Lu
    • 1
  • Zhigang Wang
    • 1
  1. 1.Department of Computer Science and TechnologyHuaZhong University of Science and TechnologyWuhanP.R. China
  2. 2.School of Foreign LanguagesHuaZhong Normal UniversityWuhanP.R. China
  3. 3.Schoole of ManagementHuaZhong University of Science and TechnologyWuhanP.R. China

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