LAMP

Tag: WMT17

  • Multimodal Translation Challenge

    We obtained first rank on the WMT17 Shared Task on Multimodal Translation in our submission within the M2CR project together with the Le Mans natural language processing group. The system is explained in this WMT2017 paper ‘LIUM-CVC Submissions for WMT17 Multimodal Translation Task‘

  • LIUM-CVC Submissions for WMT17 Multimodal Translation Task

    Ozan Caglayan, Walid Aransa, Adrien Bardet, Mercedes García-Martínez, Fethi Bougares, Loïc Barrault, Marc Masana, Luis Herranz, Joost van de Weijer Read Full Paper → 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 […]