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Influence of WSD on Cross-Language Information Retrieval

  • In-Su Kang
  • Seung-Hoon Na
  • Jong-Hyeok Lee
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3248)

Abstract

Translation ambiguity is a major problem in dictionary-based cross-language information retrieval. This paper proposes a statistical word sense disambiguation (WSD) approach for translation ambiguity resolution. Then, with respect to CLIR effectiveness, the pure effect of a disambiguation module will be explored on the following issues: contribution of disambiguation weight to target term weighting, influences of WSD performance on CLIR retrieval effectiveness. In our investigation, we do not use pre-translation or post-translation methods to exclude any mixing effects on CLIR.

Keywords

Support Vector Machine Model Query Term Word Sense Disambiguation Bilingual Dictionary Translation Probability 
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 2005

Authors and Affiliations

  • In-Su Kang
    • 1
  • Seung-Hoon Na
    • 1
  • Jong-Hyeok Lee
    • 1
  1. 1.Div. of Electrical and Computer EngineeringPOSTECH and AITrcPohangR. of Korea

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