A human-computer dialogue system for Maori language learning

Alistair Knott, John Moorfield, Tamsin Meaney, Lee-Luan Ng

    Research output: Book chapter/Published conference paperConference paperpeer-review

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    In this paper we describe Te Kaitito, a bilingual human-machine dialogue system which supports conversational interactions in English and in M¯aori, the indigenous language of New Zealand. In particular we consider how Te Kaitito can best be incorporated into Mori second language learning experiences. We begin in Section 2 with a overview of the motivation behind the Te Kaitito system, and its intended role in the continued development of te reo M¯aori as a working language in New Zealand. In Section 3, we briefly survey the existing applications of natural language processing (NLP) in computer-aided language learning (CALL). In Section 4, we outline the architecture of Te Kaitito, and give some examples of interactions with the system. In Section 5, we describe some proposed extensions of the system to deal with language-learning dialogues, and some initial implementations of these ideas.
    Original languageEnglish
    Title of host publicationED-MEDIA 2003, Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2003
    Place of PublicationHonolulu
    PublisherAssociation for the Advancement of Computing in Education
    Number of pages8
    Publication statusPublished - 2003
    Event15th World conference on educational multimedia, hypermedia and telecommunications - Honolulu, New Zealand
    Duration: 23 Jun 200328 Jun 2003


    Conference15th World conference on educational multimedia, hypermedia and telecommunications
    Country/TerritoryNew Zealand


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