Construction of a fuzzy multilingual thesaurus and its application to cross-lingual text retrieval

Rowena Chau, Chung-Hsing Yeh

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    5 Citations (Scopus)

    Abstract

    Cross-lingual text retrieval (CLTR) is a problem of vocabulary mismatch. To allow multilingual term matching, a multilingual thesaurus is used. However, a multilingual thesaurus encoded with exact translation equivalent only is insufficient for effective CLTR since relevant documents are often indexed by cross-lingual related term. 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.
    Original languageEnglish
    Title of host publicationWeb Intelligence: Research and Development
    Subtitle of host publicationFirst Asia-Pacific Conference, WI 2001 Maebashi City, Japan, October 23-26, 2001 Proceedings
    EditorsNing Zhong, Yiyu Yao, Jiming Liu, Setsuo Ohsuga
    Place of PublicationBerlin Germany
    PublisherSpringer
    Pages340-345
    Number of pages6
    ISBN (Print)3540427309
    DOIs
    Publication statusPublished - 2001
    EventAsia-Pacific Conference on Web Intelligence 2001 - Maebashi City, Japan
    Duration: 23 Oct 200126 Oct 2001
    Conference number: 1st
    https://link.springer.com/book/10.1007/3-540-45490-X (Proceedings)

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume2198
    ISSN (Print)0302-9743

    Conference

    ConferenceAsia-Pacific Conference on Web Intelligence 2001
    Abbreviated titleWI 2001
    CountryJapan
    CityMaebashi City
    Period23/10/0126/10/01
    Internet address

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