| Unsupervised cross-lingual representation learning at scale A Conneau arXiv preprint arXiv:1911.02116, 2019 | 6616 | 2019 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 1868 | 2024 |
| No language left behind: Scaling human-centered machine translation N Team, MR Costa-jussŕ, J Cross, O Çelebi, M Elbayad, K Heafield, ... arXiv preprint arXiv:2207.04672, 2022 | 770 | 2022 |
| CCNet: Extracting high quality monolingual datasets from web crawl data G Wenzek, MA Lachaux, A Conneau, V Chaudhary, F Guzmán, A Joulin, ... arXiv preprint arXiv:1911.00359, 2019 | 649 | 2019 |
| The flores-101 evaluation benchmark for low-resource and multilingual machine translation N Goyal, C Gao, V Chaudhary, PJ Chen, G Wenzek, D Ju, S Krishnan, ... Transactions of the Association for Computational Linguistics 10, 522-538, 2022 | 447 | 2022 |
| Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia H Schwenk, V Chaudhary, S Sun, H Gong, F Guzmán arXiv preprint arXiv:1907.05791, 2019 | 357 | 2019 |
| The flores evaluation datasets for low-resource machine translation: Nepali-english and sinhala-english F Guzmán, PJ Chen, M Ott, J Pino, G Lample, P Koehn, V Chaudhary, ... arXiv preprint arXiv:1902.01382, 2019 | 320 | 2019 |
| CCAligned: A massive collection of cross-lingual web-document pairs A El-Kishky, V Chaudhary, F Guzmán, P Koehn arXiv preprint arXiv:1911.06154, 2019 | 181 | 2019 |
| Unsupervised quality estimation for neural machine translation M Fomicheva, S Sun, L Yankovskaya, F Blain, F Guzmán, M Fishel, ... Transactions of the Association for Computational Linguistics 8, 539-555, 2020 | 165 | 2020 |
| The AMARA corpus: Building parallel language resources for the educational domain A Abdelali, F Guzmán, H Sajjad, S Vogel Proceedings of the 9th International Conference on Language Resources and …, 2014 | 148 | 2014 |
| Using Discourse Structure Improves Machine Translation Evaluation F Guzmán, S Joty, L Mŕrquez, P Nakov Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 124 | 2014 |
| SeamlessM4T-Massively Multilingual & Multimodal Machine Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ... arXiv preprint arXiv:2308.11596, 2023 | 101 | 2023 |
| Seamless: Multilingual Expressive and Streaming Speech Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, M Duppenthaler, ... arXiv preprint arXiv:2312.05187, 2023 | 97 | 2023 |
| Unsupervised cross-lingual representation learning at scale. CoRR abs/1911.02116 (2019) A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ... URL: http://arxiv. org/abs/1911.02116, 1911 | 95 | 1911 |
| TICO-19: the translation initiative for COvid-19 A Anastasopoulos, A Cattelan, ZY Dou, M Federico, C Federman, ... arXiv preprint arXiv:2007.01788, 2020 | 88 | 2020 |
| Low-resource corpus filtering using multilingual sentence embeddings V Chaudhary, Y Tang, F Guzmán, H Schwenk, P Koehn arXiv preprint arXiv:1906.08885, 2019 | 85 | 2019 |
| Findings of the WMT 2019 shared task on parallel corpus filtering for low-resource conditions P Koehn, F Guzmán, V Chaudhary, J Pino Proceedings of the Fourth Conference on Machine Translation (Volume 3 …, 2019 | 84 | 2019 |
| Findings of the WMT 2020 shared task on parallel corpus filtering and alignment P Koehn, V Chaudhary, A El-Kishky, N Goyal, PJ Chen, F Guzmán Proceedings of the Fifth Conference on Machine Translation, 726-742, 2020 | 83 | 2020 |
| Optimizing for Sentence-Level BLEU+1 Yields Short Translations P Nakov, F Guzmán, S Vogel COLING, 2012 | 73 | 2012 |
| MLQE-PE: A multilingual quality estimation and post-editing dataset M Fomicheva, S Sun, E Fonseca, C Zerva, F Blain, V Chaudhary, ... arXiv preprint arXiv:2010.04480, 2020 | 63 | 2020 |
Vishrav ChaudharyMicrosoft AIVerified email at microsoft.com
