Christophe Servan
Citata da
Citata da
Listen and translate: A proof of concept for end-to-end speech-to-text translation
A Bérard, O Pietquin, C Servan, L Besacier
arXiv preprint arXiv:1612.01744, 2016
Systran's pure neural machine translation systems
J Crego, J Kim, G Klein, A Rebollo, K Yang, J Senellart, E Akhanov, ...
arXiv preprint arXiv:1610.05540, 2016
Terminological adaptation of statistical machine translation system through automatic generation of phrasal contexts for bilingual terms
C Servan, M Dymetman
US Patent 9,367,541, 2016
Investigations on translation model adaptation using monolingual data
P Lambert, H Schwenk, C Servan, S Abdul-Rauf
Results of the French Evalda-Media evaluation campaign for literal understanding
H Bonneau-Maynard, C Ayache, F Bechet, A Denis, A Kuhn, F Lefèvre, ...
MultiVec: a multilingual and multilevel representation learning toolkit for NLP
A Bérard, C Servan, O Pietquin, L Besacier
Conceptual decoding from word lattices: application to the spoken dialogue corpus media
C Servan, C Raymond, F Béchet, P Nocéra
On the use of machine translation for spoken language understanding portability
C Servan, N Camelin, C Raymond, F Béchet, R De Mori
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
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
Frame-based acoustic feature integration for speech understanding
L Barrault, C Servan, D Matrouf, G Linares, R De Mori
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
Issues in incremental adaptation of statistical mt from human post-edits
M Cettolo, C Servan, N Bertoldi, M Federico, L Barrault, H Schwenk
LIUM's SMT machine translation systems for WMT 2011
H Schwenk, P Lambert, L Barrault, C Servan, H Afli, S Abdul-Rauf, K Shah
Optimising multiple metrics with mert
C Servan, H Schwenk
The Prague Bulletin of Mathematical Linguistics 96 (1), 109-117, 2011
System and method for response generation using linguistic information
C Roux, C Servan
US Patent 9,390,087, 2016
An open source toolkit for word-level confidence estimation in machine translation
C Servan, NT Le, NQ Luong, B Lecouteux, L Besacier
The 12th International Workshop on Spoken Language Translation (IWSLT'15), 2015
Word2Vec vs DBnary: Augmenting METEOR using vector representations or lexical resources?
C Servan, A Bérard, Z Elloumi, H Blanchon, L Besacier
Using whole document context in neural machine translation
V Macé, C Servan
arXiv preprint arXiv:1910.07481, 2019
A hybrid word alignment approach to improve translation lexicons with compound words and idiomatic expressions
N Semmar, C Servan, G De Chalendar, B Le Ny, JJ Bouzaglou
Décodage conceptuel et apprentissage automatique: application au corpus de dialogue homme-machine media
C Servan, F Bechet
SYSTRAN purely neural MT engines for WMT2017
Y Deng, J Kim, G Klein, C Kobus, N Segal, C Servan, B Wang, D Zhang, ...
arXiv preprint arXiv:1709.03814, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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