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Loïc Barrault
Loïc Barrault
Research Scientist, Meta AI
Подтвержден адрес электронной почты в домене fb.com - Главная страница
Название
Процитировано
Процитировано
Год
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
21422017
Very deep convolutional networks for text classification
A Conneau, H Schwenk, L Barrault, Y Lecun
arXiv preprint arXiv:1606.01781, 2016
11162016
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
7322018
Findings of the 2019 conference on machine translation (WMT19)
L Barrault, O Bojar, MR Costa-Jussa, C Federmann, M Fishel, Y Graham, ...
ACL, 2019
5802019
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
5442015
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
2072017
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
2052018
Findings of the third shared task on multimodal machine translation
L Barrault, F Bougares, L Specia, C Lala, D Elliott, S Frank
THIRD CONFERENCE ON MACHINE TRANSLATION (WMT18) 2, 308-327, 2018
1362018
Probing the need for visual context in multimodal machine translation
O Caglayan, P Madhyastha, L Specia, L Barrault
arXiv preprint arXiv:1903.08678, 2019
1212019
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
1002017
The MateCat tool.
M Federico, N Bertoldi, M Cettolo, M Negri, M Turchi, M Trombetti, ...
COLING (Demos), 129-132, 2014
942014
The IWSLT 2019 evaluation campaign
N Jan, R Cattoni, S Sebastian, M Negri, M Turchi, S Elizabeth, S Ramon, ...
Proceedings of the 16th International Workshop on Spoken Language …, 2019
912019
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
832016
No Language Left Behind: Scaling Human-Centered Machine Translation
T NLLB, MR Costa-jussà, J Cross, O Çelebi, M Elbayad, K Heafield, ...
arXiv e-prints, arXiv: 2207.04672, 2022
81*2022
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, 2017
752017
Multimodal attention for neural machine translation
O Caglayan, L Barrault, F Bougares
arXiv preprint arXiv:1609.03976, 2016
662016
Active learning by acquiring contrastive examples
K Margatina, G Vernikos, L Barrault, N Aletras
arXiv preprint arXiv:2109.03764, 2021
632021
Findings of the IWSLT 2022 Evaluation Campaign.
A Antonios, B Loc, L Bentivogli, MZ Boito, B Ondřej, R Cattoni, C Anna, ...
Proceedings of the 19th International Conference on Spoken Language …, 2022
522022
Factored neural machine translation architectures
M García-Martínez, L Barrault, F Bougares
Proceedings of the 13th International Conference on Spoken Language Translation, 2016
512016
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
422017
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