Opennmt: Open-source toolkit for neural machine translation G Klein, Y Kim, Y Deng, J Senellart, AM Rush arXiv preprint arXiv:1701.02810, 2017 | 2320 | 2017 |
Domain control for neural machine translation C Kobus, J Crego, J Senellart arXiv preprint arXiv:1612.06140, 2016 | 199 | 2016 |
Statistical post-editing on SYSTRAN's rule-based translation system L Dugast, J Senellart, P Koehn Proceedings of the Second Workshop on Statistical Machine Translation, 220-223, 2007 | 194 | 2007 |
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 | 163 | 2016 |
OpenNMT: Neural machine translation toolkit G Klein, Y Kim, Y Deng, V Nguyen, J Senellart, AM Rush arXiv preprint arXiv:1805.11462, 2018 | 154 | 2018 |
Convergence of translation memory and statistical machine translation P Koehn, J Senellart Proceedings of the Second Joint EM+/CNGL Workshop: Bringing MT to the User …, 2010 | 146 | 2010 |
A solid-state single-photon filter L De Santis, C Antón, B Reznychenko, N Somaschi, G Coppola, ... Nature nanotechnology 12 (7), 663-667, 2017 | 103 | 2017 |
Boosting neural machine translation with similar translations J Xu, JM Crego, J Senellart Annual Meeting of the Association for Computational Linguistics, 1570-1579, 2020 | 98 | 2020 |
The OpenNMT neural machine translation toolkit: 2020 edition G Klein, F Hernandez, V Nguyen, J Senellart Proceedings of the 14th Conference of the Association for Machine …, 2020 | 76 | 2020 |
New generation systran translation system J Senellart, P Dienes, T Váradi Proceedings of Machine Translation Summit VIII, 2001 | 63 | 2001 |
A versatile single-photon-based quantum computing platform N Maring, A Fyrillas, M Pont, E Ivanov, P Stepanov, N Margaria, W Hease, ... Nature Photonics 18 (6), 603-609, 2024 | 56 | 2024 |
Reconnaissance automatique des entrées du lexique-grammaire des phrases figées J Senellart Travaux de linguistique (Gent), 109-125, 1998 | 54 | 1998 |
Perceval: A software platform for discrete variable photonic quantum computing N Heurtel, A Fyrillas, G De Gliniasty, R Le Bihan, S Malherbe, M Pailhas, ... Quantum 7, 931, 2023 | 53 | 2023 |
Enhanced transformer model for data-to-text generation L Gong, JM Crego, J Senellart Proceedings of the 3rd Workshop on Neural Generation and Translation, 148-156, 2019 | 51 | 2019 |
Domain specialization: a post-training domain adaptation for neural machine translation C Servan, J Crego, J Senellart arXiv preprint arXiv:1612.06141, 2016 | 49 | 2016 |
Translation model adaptation for an Arabic/French news translation system by lightly-supervised training H Schwenk, J Senellart Proceedings of Machine Translation Summit XII: Posters, 2009 | 42 | 2009 |
Qualitative analysis of post-editing for high quality machine translation F Blain, J Senellart, H Schwenk, M Plitt, J Roturier Proceedings of Machine Translation Summit XIII: Papers, 2011 | 41 | 2011 |
Boosting neural machine translation D Zhang, J Kim, J Crego, J Senellart arXiv preprint arXiv:1612.06138, 2016 | 35 | 2016 |
Inductive coding of the Arabic lexicon A Farghaly, J Senellart Workshop on Machine Translation for Semitic languages: issues and approaches, 2003 | 32 | 2003 |
Integrating domain terminology into neural machine translation E Michon, JM Crego, J Senellart Proceedings of the 28th International Conference on Computational …, 2020 | 30 | 2020 |