Explorative multilingual text retrieval based on fuzzy multilingual keyword classification

Rowena Chau, Chung-Hsing Yeh

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    Abstract

    This paper proposes an explorative approach to multilingual text retrieval (MLTR) based on fuzzy multilingual keyword classification. The approach applies fuzzy clustering to obtain a classification of multilingual keywords by concepts. A multilingual concept directory is developed by labeling each concept with native language of the target user and associating it with relevant multilingual documents. The directory works as a searching interface for document browsing. This explorative approach is particularly suitable for casual users to search with Asian languages by avoiding the trouble of query formulation and input in MLTR. For the general application of MLTR, an explorative interface is also advisable when the user has only a vague idea of the domain to be searched.

    Original languageEnglish
    Title of host publicationFifth International Workshop on Information Retrieval with Asian Languages
    Place of PublicationNew York NY USA
    PublisherAssociation for Computing Machinery (ACM)
    Pages33-40
    Number of pages8
    ISBN (Electronic)1581133006, 9781581133004
    ISBN (Print)1581133006
    DOIs
    Publication statusPublished - 1 Nov 2000
    EventIRAL 2000 - Hong Kong, New York NY USA
    Duration: 1 Jan 2000 → …

    Conference

    ConferenceIRAL 2000
    CityNew York NY USA
    Period1/01/00 → …

    Keywords

    • Classification
    • Document classification
    • Fuzzy clustering
    • Muttilingual text retrieval

    Cite this

    Chau, R., & Yeh, C-H. (2000). Explorative multilingual text retrieval based on fuzzy multilingual keyword classification. In Fifth International Workshop on Information Retrieval with Asian Languages (pp. 33-40). Association for Computing Machinery (ACM). https://doi.org/10.1145/355214.355219