SEECAT: ASR & Eye-tracking Enabled Computer Assisted Translation

Mercedes Garcia Martinez, Karan Singla, Aniruddha Tammewar, Bartolomé Mesa-Lao, Ankita Thakur, M. A. Anusuya, Banglore Srinivas, Michael Carl

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

    Abstrakt

    Typing has traditionally been the only input method used by human translators working with computer-assisted translation (CAT) tools. However, speech is a natural communication channel for humans and, in principle, it should be faster and easier than typing from a keyboard. This contribution investigates the integration of automatic speech recognition (ASR) in a CAT workbench testing its real use by human translators while post-editing machine translation (MT) outputs. This paper also explores the use of MT combined with ASR in order to improve recognition accuracy in a workbench integrating eye-tracking functionalities to collect process-oriented information about translators’ performance.
    OriginalsprogEngelsk
    TitelProceedings of the 17th Annual Conference of the European Association for Machine Translation : EAMT2014
    RedaktørerMarko Tadić, Philipp Koehn, Johann Roturier, Andy Way
    UdgivelsesstedBasel
    ForlagEuropean Association for Machine Translation
    Publikationsdato2014
    Sider81-88
    ISBN (Trykt)9789535537533
    StatusUdgivet - 2014
    BegivenhedThe 17th Annual Conference of the European Association for Machine Translation. EAMT 2014 - The Centre for Advanced Academic Studies , Dubrovnik, Kroatien
    Varighed: 16 jun. 201418 jun. 2014
    Konferencens nummer: 17
    http://hnk.ffzg.hr/eamt2014/

    Konference

    KonferenceThe 17th Annual Conference of the European Association for Machine Translation. EAMT 2014
    Nummer17
    LokationThe Centre for Advanced Academic Studies
    LandKroatien
    ByDubrovnik
    Periode16/06/201418/06/2014
    Internetadresse

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