Crossing the language barrier using fuzzy logic

Rowena Chau, Chung-Hsing Yeh

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    Cross-lingual text retrieval (CLTR) concerns the retrieval of documents across languages. To allow multilingual term matching, a multilingual thesaurus is needed. However, a multilingual thesaurus encoding exact translation equivalent is insufficient for effective CLTR since relevant documents are often indexed by cross-lingual related terms. In this paper, a novel approach for automatically constructing a multilingual thesaurus based on fuzzy set theory is proposed. By introducing a degree of relatedness between multilingual terms using the concept of membership degree, partial match of cross-lingual related terms is facilitated. Development of a fuzzy multilingual news retrieval system using the proposed approach is presented.

    Original languageEnglish
    Title of host publicationProceedings of the Second International Conference in Fuzzy Systems and Knowledge Discovery (FKSD 2005)
    EditorsLipo Wang, Yaochu Jin
    Place of PublicationGermany
    Number of pages6
    ISBN (Print)9783540283317
    Publication statusPublished - 2005
    EventInternational Conference on Fuzzy Systems and Knowledge Discovery 2005 - Changsha China, Changsha, China
    Duration: 1 Jan 2005 → …
    Conference number: 2nd

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3614 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceInternational Conference on Fuzzy Systems and Knowledge Discovery 2005
    Abbreviated titleFKSD 2005
    Period1/01/05 → …

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