Cited by
Cited by
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
Findings of the 2019 conference on machine translation (wmt19)
L Barrault, O Bojar, MR Costa-Jussà, C Federmann, M Fishel, Y Graham, ...
Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019
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
The Matecat Tool.
M Federico, N Bertoldi, M Cettolo, M Negri, M Turchi, M Trombetti, ...
COLING (Demos), 129-132, 2014
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
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
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
Findings of the third shared task on multimodal machine translation
L Barrault, F Bougares, L Specia, C Lala, D Elliott, S Frank
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
Factored neural machine translation architectures
M García-Martínez, L Barrault, F Bougares
MANY: Open source machine translation system combination
L Barrault
The Prague Bulletin of Mathematical Linguistics 93 (1), 147-155, 2010
Multimodal attention for neural machine translation
O Caglayan, L Barrault, F Bougares
arXiv preprint arXiv:1609.03976, 2016
Probing the need for visual context in multimodal machine translation
O Caglayan, P Madhyastha, L Specia, L Barrault
arXiv preprint arXiv:1903.08678, 2019
SMT and SPE machine translation systems for WMT'09
H Schwenk, S Abdul-Rauf, L Barrault, J Senellart
Translation model adaptation by resampling
K Shah, L Barrault, H Schwenk
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010
OCR Error Correction Using Statistical Machine Translation.
H Afli, L Barrault, H Schwenk
Int. J. Comput. Linguistics Appl. 7 (1), 175-191, 2016
Introduction to the special issue on deep learning approaches for machine translation
MR Costa-jussà, A Allauzen, L Barrault, K Cho, H Schwenk
Computer Speech & Language 46, 367-373, 2017
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