PT Unknown
AU Ozan Caglayan
   Walid Aransa
   Adrien Bardet
   Mercedes Garcia-Martinez
   Fethi Bougares
   Loic Barrault
   Marc Masana
   Luis Herranz
   Joost Van de Weijer
TI LIUM-CVC Submissions for WMT17 Multimodal Translation Task
BT 2nd Conference on Machine Translation
PY 2017
AB 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.
ER