| 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 | 313 | 2016 |
| End-to-end automatic speech translation of audiobooks A Bérard, L Besacier, AC Kocabiyikoglu, O Pietquin 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 215 | 2018 |
| Monolingual adapters for zero-shot neural machine translation J Philip, A Berard, M Gallé, L Besacier Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 86 | 2020 |
| 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 | 65 | 2016 |
| Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task A Berard, I Calapodescu, C Roux arXiv preprint arXiv:1907.06488, 2019 | 56 | 2019 |
| Multilingual unsupervised neural machine translation with denoising adapters A Üstün, A Berard, L Besacier, M Gallé arXiv preprint arXiv:2110.10472, 2021 | 38 | 2021 |
| ARTigo: building an artwork search engine with games and higher-order latent semantic analysis C Wieser, F Bry, A Bérard, R Lagrange Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 37 | 2013 |
| Unsupervised word segmentation from speech with attention P Godard, M Zanon-Boito, L Ondel, A Berard, F Yvon, A Villavicencio, ... arXiv preprint arXiv:1806.06734, 2018 | 34 | 2018 |
| Machine translation of restaurant reviews: New corpus for domain adaptation and robustness A Berard, I Calapodescu, M Dymetman, C Roux, JL Meunier, V Nikoulina arXiv preprint arXiv:1910.14589, 2019 | 33 | 2019 |
| Multilingual domain adaptation for NMT: Decoupling language and domain information with adapters AC Stickland, A Berard, V Nikoulina arXiv preprint arXiv:2110.09574, 2021 | 25 | 2021 |
| Word2Vec vs DBnary: Augmenting METEOR using vector representations or lexical resources? C Servan, A Bérard, Z Elloumi, H Blanchon, L Besacier arXiv preprint arXiv:1610.01291, 2016 | 24 | 2016 |
| Unwritten languages demand attention too! word discovery with encoder-decoder models MZ Boito, A Bérard, A Villavicencio, L Besacier 2017 IEEE automatic speech recognition and understanding workshop (ASRU …, 2017 | 22 | 2017 |
| Lig-cristal system for the wmt17 automatic post-editing task A Berard, O Pietquin, L Besacier arXiv preprint arXiv:1707.05118, 2017 | 22 | 2017 |
| SMaLL-100: Introducing shallow multilingual machine translation model for low-resource languages A Mohammadshahi, V Nikoulina, A Berard, C Brun, J Henderson, ... arXiv preprint arXiv:2210.11621, 2022 | 21 | 2022 |
| A multilingual neural machine translation model for biomedical data A Bérard, ZM Kim, V Nikoulina, EL Park, M Gallé arXiv preprint arXiv:2008.02878, 2020 | 21 | 2020 |
| Continual learning in multilingual NMT via language-specific embeddings A Berard arXiv preprint arXiv:2110.10478, 2021 | 18 | 2021 |
| Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019 F Saleh, A Berard, I Calapodescu, L Besacier arXiv preprint arXiv:1910.14539, 2019 | 14 | 2019 |
| What Do Compressed Multilingual Machine Translation Models Forget? A Mohammadshahi, V Nikoulina, A Berard, C Brun, J Henderson, ... arXiv preprint arXiv:2205.10828, 2022 | 11 | 2022 |
| Naver labs europe’s participation in the robustness, chat, and biomedical tasks at wmt 2020 A Berard, I Calapodescu, V Nikoulina, J Philip Proceedings of the Fifth Conference on Machine Translation, 462-472, 2020 | 11 | 2020 |
| Memory-efficient NLLB-200: Language-specific expert pruning of a massively multilingual machine translation model Y Koishekenov, A Berard, V Nikoulina arXiv preprint arXiv:2212.09811, 2022 | 9 | 2022 |
laurent besacierProfessor in Computer ScienceVerified email at imag.fr
