Influence of WSD on cross-language information retrieval

  • Authors:
  • In-Su Kang;Seung-Hoon Na;Jong-Hyeok Lee

  • Affiliations:
  • Div. of Electrical and Computer Engineering, POSTECH and AITrc, Pohang, R. of Korea;Div. of Electrical and Computer Engineering, POSTECH and AITrc, Pohang, R. of Korea;Div. of Electrical and Computer Engineering, POSTECH and AITrc, Pohang, R. of Korea

  • Venue:
  • IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
  • Year:
  • 2004

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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.