LIUM-CVC Submissions for WMT18 Multimodal Translation Task

  title={LIUM-CVC Submissions for WMT18 Multimodal Translation Task},
  author={Ozan Caglayan and Adrien Bardet and Fethi Bougares and Lo{\"i}c Barrault and Kai Wang and Marc Masana and Luis Herranz and Joost van de Weijer},
This paper describes the multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT18 Shared Task on Multimodal Translation. This year we propose several modifications to our previous multimodal attention architecture in order to better integrate convolutional features and refine them using encoder-side information. Our final constrained submissions ranked first for English→French and second for English→German language pairs among the constrained submissions according to… CONTINUE READING
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2017a. Lium-cvc submissions for wmt17 multimodal translation task

Ozan Caglayan, Walid Aransa, +6 authors Joost van de Weijer
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2017b. Nmtpy: A flexible toolkit for advanced neural machine translation systems

Ozan Caglayan, Mercedes Garcı́a-Martı́nez, +3 authors Loı̈c Barrault
Prague Bull. Math. Linguistics, • 2017
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At - tention strategies for multi - source sequence - to - sequence learning . CoRR abs / 1704 . 06567

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