TY  - CONF
AU  - Ozan Caglayan
AU  - Walid Aransa
AU  - Adrien Bardet
AU  - Mercedes Garcia-Martinez
AU  - Fethi Bougares
AU  - Loic Barrault
AU  - Marc Masana
AU  - Luis Herranz
AU  - Joost Van de Weijer
A2  - WMT
PY  - 2017//
TI  - LIUM-CVC Submissions for WMT17 Multimodal Translation Task
BT  - 2nd Conference on Machine Translation
N2  - 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.
L1  - http://refbase.cvc.uab.es/files/CAB2017.pdf
N1  - LAMP; 600.106; 600.120
ID  - Ozan Caglayan2017
ER  -