| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1350 | 2023 |
| Hybrid adaptation of named entity recognition V Nikoulina, A Sandor US Patent App. 13/707,745, 2014 | 281 | 2014 |
| Dynamic bi-phrases for statistical machine translation M Dymetman, WF Aziz, N Cancedda, JM Coursimault, V Nikoulina, ... US Patent 9,552,355, 2017 | 276 | 2017 |
| Linguistically-adapted structural query annotation C Brun, V Nikoulina, N Lagos US Patent 8,812,301, 2014 | 250 | 2014 |
| Lexical and phrasal feature domain adaptation in statistical machine translation V Nikoulina, S Clinchant US Patent 9,026,425, 2015 | 249 | 2015 |
| On the use of bert for neural machine translation S Clinchant, KW Jung, V Nikoulina arXiv preprint arXiv:1909.12744, 2019 | 114 | 2019 |
| Translation system adapted for query translation via a reranking framework V Nikoulina, N Lagos US Patent 8,713,037, 2014 | 56 | 2014 |
| Bloom+ 1: Adding language support to bloom for zero-shot prompting ZX Yong, H Schoelkopf, N Muennighoff, AF Aji, DI Adelani, K Almubarak, ... arXiv preprint arXiv:2212.09535, 2022 | 39 | 2022 |
| Aspect based sentiment analysis into the wild C Brun, V Nikoulina Proceedings of the 9th workshop on computational approaches to subjectivity …, 2018 | 37 | 2018 |
| Adaptation of statistical machine translation model for cross-lingual information retrieval in a service context V Nikoulina, B Kovachev, N Lagos, C Monz Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 36 | 2012 |
| 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 | 35 | 2019 |
| Domain adaptation for query translation V Nikoulina, N Lagos, S Clinchant US Patent 8,543,563, 2013 | 35 | 2013 |
| On the evaluation of machine translation for terminology consistency A Anastasopoulos, L Besacier, J Cross, M Gallé, P Koehn, V Nikoulina arXiv preprint arXiv:2106.11891, 2021 | 28 | 2021 |
| Multilingual domain adaptation for NMT: Decoupling language and domain information with adapters AC Stickland, A Berard, V Nikoulina arXiv preprint arXiv:2110.09574, 2021 | 26 | 2021 |
| 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 | 24 | 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 | 23 | 2020 |
| Findings of the WMT shared task on machine translation using terminologies MMI Alam, I Kvapilíková, A Anastasopoulos, L Besacier, G Dinu, ... Proceedings of the Sixth Conference on Machine Translation, 652-663, 2021 | 19 | 2021 |
| Hybrid adaptation of named entity recognition for statistical machine translation V Nikoulina, A Sandor, M Dymetman Proceedings of the Second Workshop on Applying Machine Learning Techniques …, 2012 | 13 | 2012 |
| 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 | 11 | 2022 |
| 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 |
