Transitive probabilistic CLIR models.

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    Abstract

    Transitive translation could be a useful technique to enlarge the number of supported language pairs for a cross-language information retrieval (CLIR) system in a cost-effective manner. The paper describes several setups for transitive translation based on probabilistic translation models. The transitive CLIR models were evaluated on the CLEF test collection and yielded a retrieval effectiveness up to 83% of monolingual performance, which is significantly better than a baseline using the synonym operator.
    Original languageUndefined
    Title of host publicationProceedings of the 7th International RIAO Conference (Recherche d'Information Assistée par Ordinateur)
    Place of PublicationParis, France
    PublisherCentre de Hautes Etudes Internationales d'Informatique Documentaire (CID)
    Pages69-81
    Number of pages13
    ISBN (Print)2 905450-09-6
    Publication statusPublished - 2004
    Event7th International Conference on Computer-Assisted Information Retrieval, RIAO 2004: (Recherche d'Information et ses Applications) - Avignon, France
    Duration: 1 Apr 20041 Apr 2004
    Conference number: 7

    Publication series

    Name
    PublisherCentre de hautes etudes internationales (CID)

    Conference

    Conference7th International Conference on Computer-Assisted Information Retrieval, RIAO 2004
    Abbreviated titleRIAO
    CountryFrance
    CityAvignon
    Period1/04/041/04/04

    Keywords

    • EWI-6775
    • IR-66328
    • METIS-221281

    Cite this

    Kraaij, W., & de Jong, F. M. G. (2004). Transitive probabilistic CLIR models. In Proceedings of the 7th International RIAO Conference (Recherche d'Information Assistée par Ordinateur) (pp. 69-81). Paris, France: Centre de Hautes Etudes Internationales d'Informatique Documentaire (CID).