Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices

Stella Frank, Desmond Elliott, Lucia Specia

    6 Citationer (Scopus)

    Abstract

    Two studies on multilingual multimodal image description provide empirical evidence towards two questions at the core of the task: (i) whether target language speakers prefer descriptions generated directly in their native language, as compared to descriptions translated from a different language; (ii) whether images improve human translation of descriptions. These results provide guidance for future work in multimodal natural language processing by first showing that on the whole, translations are not distinguished from native language descriptions, and second delineating and quantifying the information gained from the image during the human translation task.

    OriginalsprogEngelsk
    TidsskriftJournal of Natural Language Engineering
    Vol/bind24
    Udgave nummer3
    Sider (fra-til)393-413
    Antal sider21
    StatusUdgivet - 1 maj 2018

    Fingeraftryk

    Dyk ned i forskningsemnerne om 'Assessing multilingual multimodal image description: Studies of native speaker preferences and translator choices'. Sammen danner de et unikt fingeraftryk.

    Citationsformater