74 citations · 102 across the 2 of their papers we have counts for
5 papers
LIUM-CVC Submissions for WMT18 Multimodal Translation Task
Ozan Caglayan, Adrien Bardet, Fethi Bougares +5
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 modif…
LIUM Machine Translation Systems for WMT17 News Translation Task
Mercedes García-Martínez, Ozan Caglayan, Walid Aransa +3
This paper describes LIUM submissions to WMT17 News Translation Task for English-German, English-Turkish, English-Czech and English-Latvian language pairs. We train BPE-based atten…
LIUM-CVC Submissions for WMT17 Multimodal Translation Task
Ozan Caglayan, Walid Aransa, Adrien Bardet +6
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 t…
NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
Ozan Caglayan, Mercedes García-Martínez, Adrien Bardet +3
In this paper, we present nmtpy, a flexible Python toolkit based on Theano for training Neural Machine Translation and other neural sequence-to-sequence architectures. nmtpy decoup…
Does Multimodality Help Human and Machine for Translation and Image Captioning?
Ozan Caglayan, Walid Aransa, Yaxing Wang +5
This paper presents the systems developed by LIUM and CVC for the WMT16 Multimodal Machine Translation challenge. We explored various comparative methods, namely phrase-based syste…