| 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 | 163 | 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 | 101 | 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 | 94 | 2016 |
| Investigations on translation model adaptation using monolingual data P Lambert, H Schwenk, C Servan, S Abdul-Rauf Sixth Workshop on Statistical Machine Translation, 284-293, 2011 | 68 | 2011 |
| MultiVec: a multilingual and multilevel representation learning toolkit for NLP A Bérard, C Servan, O Pietquin, L Besacier The 10th edition of the Language Resources and Evaluation Conference (LREC), 2016 | 53 | 2016 |
| Results of the French Evalda-Media evaluation campaign for literal understanding H Bonneau-Maynard, C Ayache, F Bechet, A Denis, A Kuhn, F Lefèvre, ... The fifth international conference on Language Resources and Evaluation …, 2006 | 53 | 2006 |
| Conceptual decoding from word lattices: application to the spoken dialogue corpus media C Servan, C Raymond, F Béchet, P Nocéra The Ninth International Conference on Spoken Language Processing …, 2006 | 38 | 2006 |
| Domain specialization: a post-training domain adaptation for neural machine translation C Servan, J Crego, J Senellart arXiv preprint arXiv:1612.06141, 2016 | 34 | 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 | 20 | 2014 |
| 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 | 20 | 2010 |
| 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 | 20 | 2008 |
| System and method for response generation using linguistic information C Roux, C Servan US Patent 9,390,087, 2016 | 17 | 2016 |
| Using whole document context in neural machine translation V Macé, C Servan arXiv preprint arXiv:1910.07481, 2019 | 16 | 2019 |
| Issues in incremental adaptation of statistical MT from human post-edits M Cettolo, C Servan, N Bertoldi, M Federico, L Barrault, H Schwenk MT Summit XIV Workshop on Post-editing Technology and Practice, 2013 | 16 | 2013 |
| Optimising multiple metrics with mert C Servan, H Schwenk The Prague Bulletin of Mathematical Linguistics, 109, 2011 | 16 | 2011 |
| Word2Vec vs DBnary: Augmenting METEOR using vector representations or lexical resources? C Servan, A Bérard, Z Elloumi, H Blanchon, L Besacier COLING 2016, 2016 | 14 | 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 | 13 | 2015 |
| LIUM's SMT machine translation systems for WMT 2011 H Schwenk, P Lambert, L Barrault, C Servan, H Afli, S Abdul-Rauf, K Shah The Sixth workshop on Statistical Machine Translation, 2011 | 11 | 2011 |
| 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 The 32nd Translating and the Computer Conference-ASLIB, 2010 | 9 | 2010 |
| 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 | 7 | 2017 |
laurent besacierProfessor in Computer ScienceVerified email at imag.fr
