CBR in Dependency-based Machine Translation

S. Zwarts, Antinus Nijholt, Hendrikus J.A. op den Akker, Mannes Poel

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    Abstract

    A case based reasoning approach is introduced as a learning technique in the domain of machine translation of natural language. In our approach syntactical and semantic features are part of the cases in the case-base. To implement this, dependency analysers of sentences in the source and target languages are used. The case-base is filled with a learning mechanism that uses a parallel corpus of sentences with their translations. This case-base is used to make new translations.
    Original languageUndefined
    Title of host publicationProceedings of Konvens 2004
    EditorsE. Buchberger
    Place of PublicationVienna
    PublisherOesterreichischen Gesellschaft fuer Artificial Intelligence
    Pages205-208
    Number of pages4
    ISBN (Print)3-85027-005-X
    Publication statusPublished - 14 Sep 2004
    Event7th Conference on Natural Language Processing, KONVENS 2004 - Vienna, Austria, Vienna, Austria
    Duration: 14 Sep 200417 Sep 2004
    Conference number: 7

    Publication series

    NameSchriftenreihe der Oesterreichischen Gesellschaft fuer Artificial Intelligence
    PublisherOesterreichischen Gesellschaft fuer Artificial Intelligence
    Volume5

    Conference

    Conference7th Conference on Natural Language Processing, KONVENS 2004
    Abbreviated titleKONVENS 2004
    CountryAustria
    CityVienna
    Period14/09/0417/09/04
    Other14-17 September 2004

    Keywords

    • METIS-221101
    • HMI-SLT: Speech and Language Technology
    • EWI-6761
    • IR-66325

    Cite this

    Zwarts, S., Nijholt, A., op den Akker, H. J. A., & Poel, M. (2004). CBR in Dependency-based Machine Translation. In E. Buchberger (Ed.), Proceedings of Konvens 2004 (pp. 205-208). (Schriftenreihe der Oesterreichischen Gesellschaft fuer Artificial Intelligence; Vol. 5). Vienna: Oesterreichischen Gesellschaft fuer Artificial Intelligence.