Exploiting differences and similarities between languages in machine translation


20Mar2018 12:00 - 13:00

PhD defence ceremony

Cross-linguistic differences can have a significant influence on the quality of machine translation. Joachim Daiber investigates to which extent the characteristics of the source and target language influence translation quality and whether such characteristics can be utilised to produce more principled translation models for a broader range of language pairs.

J. Daiber: Typologically Robust Statistical Machine Translation: Understanding and Exploiting Differences and Similarities Between Languages in Machine Translation.


Prof. K. Sima'an


Dr W. Ferreira Aziz


  • Agnietenkapel

    Oudezijds Voorburgwal 229 - 231 | 1012 EZ Amsterdam
    +31 (0)20 525 2362

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This event is open to the public.

Published by  University of Amsterdam