Research on Lesk-C-Based WSD and Its Application in English-Chinese Bi-directional CLIR

  • Yuejie Zhang
  • Tao Zhang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5839)


Cross-Language Information Retrieval (CLIR) combines the traditional Information Retrieval technique and Machine Translation technique. There are many aspects related to the problem of polysemy, which are good cut-in points for the application of WSD in CLIR. Therefore, an attempt in this paper is to apply WSD in English-Chinese Bi-Directional CLIR. The query expansion and the proposed Lesk-C WSD strategy are explored. Although limited improvement on WSD can be obtained, query expansion and disambiguation based on the related strategies of WSD are beneficial to CLIR, and can improve the whole retrieval performance. Specially, by considering the “Coordinate Terms”, the Lesk-C algorithm shows the better performance and has more extensive applicability on CLIR.


Cross-Language Information Retrieval (CLIR) Word Sense Disambiguation (WSD) WordNet Lesk-C algorithm query expansion 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yuejie Zhang
    • 1
  • Tao Zhang
    • 2
  1. 1.School of Computer Science, Shanghai Key Laboratory of Intelligent Information ProcessingFudan UniversityShanghaiP.R. China
  2. 2.School of Information Management and EngineeringShanghai University of Finance and EconomicsShanghaiP.R. China

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