74 citations · 149 across the 7 of their papers we have counts for
9 papers
Demonstration of a Neural Machine Translation System with Online Learning for Translators
Miguel Domingo, Mercedes García-Martínez, Amando Estela +5
We introduce a demonstration of our system, which implements online learning for neural machine translation in a production environment. These techniques allow the system to contin…
Incremental Adaptation of NMT for Professional Post-editors: A User Study
Miguel Domingo, Mercedes García-Martínez, Álvaro Peris +5
A common use of machine translation in the industry is providing initial translation hypotheses, which are later supervised and post-edited by a human expert. During this revision…
How Much Does Tokenization Affect Neural Machine Translation?
Miguel Domingo, Mercedes Garcıa-Martınez, Alexandre Helle +2
Tokenization or segmentation is a wide concept that covers simple processes such as separating punctuation from words, or more sophisticated processes such as applying morphologica…
Neural Machine Translation by Generating Multiple Linguistic Factors
Mercedes García-Martínez, Loïc Barrault, Fethi Bougares
Factored neural machine translation (FNMT) is founded on the idea of using the morphological and grammatical decomposition of the words (factors) at the output side of the neural n…
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…
Factored Neural Machine Translation
Mercedes García-Martínez, Loïc Barrault, Fethi Bougares
We present a new approach for neural machine translation (NMT) using the morphological and grammatical decomposition of the words (factors) in the output side of the neural network…
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…