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Exploiting Thesauri and Hierarchical Categories in Cross-Language Information Retrieval

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Text, Speech and Dialogue (TSD 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2448))

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Abstract

As Internet resources become accessible worldwide, need to develop efficient methods for information retrieval across languages becomes primordial. In the present paper, we focus on query expansion techniques to improve the effectiveness of information retrieval. A combination to a dictionary-based translation and statisticalbased disambiguation is indispensable to overcome translation’s ambiguity. We propose a model, which uses multiple sources for query reformulation and expansion to select expansion terms and retrieve information needed by a user. Relevance feedback, thesaurus-based expansion, as well as a new feedback strategy, based on the extraction of domain keywords to expand user’s query, are introduced and evaluated. We evaluated the effectiveness of the proposed combined method using an application of a French-English information retrieval.

The present research study is supported in part by the Ministry of Education, Culture, Sports, Science and Technology of Japan, under grants 11480088, 12680417 and 12208032, and by the CREST program of the JST Corporation (Japan Science and Technology).

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Authors and Affiliations

  1. Graduate School of Information Science, Nara Institute of Science and Technology (NAIST), 8916-5 Takayama, 630-0101, Nara, Ikoma, Japan

    Fatiha Sadat, Masatoshi Yoshikawa & Shunsuke Uemura

  2. National Institute of Informatics (NII), Japan

    Masatoshi Yoshikawa

Authors
  1. Fatiha Sadat
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  2. Masatoshi Yoshikawa
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  3. Shunsuke Uemura
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Editors and Affiliations

  1. Faculty of Informatics Department of Programming Systems and Communication, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Petr Sojka

  2. Faculty of Informatics Department of Information Technologies, Masaryk University, Botanická 68a, 602 00, Brno, Czech Republic

    Ivan Kopeček  & Karel Pala  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Sadat, F., Yoshikawa, M., Uemura, S. (2002). Exploiting Thesauri and Hierarchical Categories in Cross-Language Information Retrieval. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_18

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  • DOI: https://doi.org/10.1007/3-540-46154-X_18

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  • Print ISBN: 978-3-540-44129-8

  • Online ISBN: 978-3-540-46154-8

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