TitleCited byYear
Supervised learning of universal sentence representations from natural language inference data
A Conneau, D Kiela, H Schwenk, L Barrault, A Bordes
arXiv preprint arXiv:1705.02364, 2017
Very deep convolutional networks for text classification
A Conneau, H Schwenk, L Barrault, Y Lecun
arXiv preprint arXiv:1606.01781, 2016
On using monolingual corpora in neural machine translation
C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ...
arXiv preprint arXiv:1503.03535, 2015
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
A Conneau, G Kruszewski, G Lample, L Barrault, M Baroni
arXiv preprint arXiv:1805.01070, 2018
The matecat tool
M Federico, N Bertoldi, M Cettolo, M Negri, M Turchi, M Trombetti, ...
Proceedings of COLING 2014, the 25th International Conference on …, 2014
Findings of the second shared task on multimodal machine translation and multilingual image description
D Elliott, S Frank, L Barrault, F Bougares, L Specia
arXiv preprint arXiv:1710.07177, 2017
MANY: Open source machine translation system combination
L Barrault
The Prague Bulletin of Mathematical Linguistics 93, 147-155, 2010
Does multimodality help human and machine for translation and image captioning?
O Caglayan, W Aransa, Y Wang, M Masana, M García-Martínez, ...
arXiv preprint arXiv:1605.09186, 2016
LIUM-CVC submissions for WMT17 multimodal translation task
O Caglayan, W Aransa, A Bardet, M García-Martínez, F Bougares, ...
arXiv preprint arXiv:1707.04481, 2017
Nmtpy: A flexible toolkit for advanced neural machine translation systems
O Caglayan, M García-Martínez, A Bardet, W Aransa, F Bougares, ...
The Prague Bulletin of Mathematical Linguistics 109 (1), 15-28, 2017
Multimodal attention for neural machine translation
O Caglayan, L Barrault, F Bougares
arXiv preprint arXiv:1609.03976, 2016
Translation model adaptation by resampling
K Shah, L Barrault, H Schwenk
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010
SMT and SPE machine translation systems for WMT'09
H Schwenk, S Abdul-Rauf, L Barrault, J Senellart
Frame-based acoustic feature integration for speech understanding
L Barrault, C Servan, D Matrouf, G Linarès, R De Mori
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
How2: a large-scale dataset for multimodal language understanding
R Sanabria, O Caglayan, S Palaskar, D Elliott, L Barrault, L Specia, ...
arXiv preprint arXiv:1811.00347, 2018
Factored neural machine translation
M García-Martínez, L Barrault, F Bougares
arXiv preprint arXiv:1609.04621, 2016
Translation project adaptation for MT-enhanced computer assisted translation
M Cettolo, N Bertoldi, M Federico, H Schwenk, L Barrault, C Servan
Machine Translation 28 (2), 127-150, 2014
Issues in incremental adaptation of statistical mt from human post-edits
M Cettolo, C Servan, N Bertoldi, M Federico, L Barrault, H Schwenk
Shef-lium-nn: Sentence level quality estimation with neural network features
K Shah, F Bougares, L Barrault, L Specia
Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016
LIUM's SMT machine translation systems for WMT 2011
H Schwenk, P Lambert, L Barrault, C Servan, H Afli, S Abdul-Rauf, K Shah
Proceedings of the Sixth Workshop on Statistical Machine Translation, 464-469, 2011
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