%0 Conference Proceedings
%T LIUM-CVC Submissions for WMT17 Multimodal Translation Task
%A Ozan Caglayan
%A Walid Aransa
%A Adrien Bardet
%A Mercedes Garcia-Martinez
%A Fethi Bougares
%A Loic Barrault
%A Marc Masana
%A Luis Herranz
%A Joost Van de Weijer
%B 2nd Conference on Machine Translation
%D 2017
%F Ozan Caglayan2017
%O LAMP; 600.106; 600.120
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3035), last updated on Fri, 04 Feb 2022 13:16:14 +0100
%X This paper describes the monomodal and multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT17 Shared Task on Multimodal Translation. We mainly explored two multimodal architectures where either global visual features or convolutional feature maps are integrated in order to benefit from visual context. Our final systems ranked first for both En-De and En-Fr language pairs according to the automatic evaluation metrics METEOR and BLEU.
%U http://refbase.cvc.uab.es/files/CAB2017.pdf