| Unsupervised cross-lingual representation learning at scale A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ... arXiv preprint arXiv:1911.02116, 2019 | 2816 | 2019 |
| 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 | 251 | 2019 |
| 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 | 215 | 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 | 200 | 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 | 107 | 2022 |
| Using Discourse Structure Improves Machine Translation Evaluation F Guzmán, S Joty, L Màrquez, P Nakov Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 106 | 2014 |
| 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 | 105 | 2014 |
| 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 | 97 | 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 | 74 | 2020 |
| Optimizing for Sentence-Level BLEU+1 Yields Short Translations P Nakov, F Guzmán, S Vogel COLING, 2012 | 70 | 2012 |
| 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 | 64 | 2019 |
| Low-resource corpus filtering using multilingual sentence embeddings V Chaudhary, Y Tang, F Guzmán, H Schwenk, P Koehn arXiv preprint arXiv:1906.08885, 2019 | 61 | 2019 |
| TICO-19: the translation initiative for COvid-19 A Anastasopoulos, A Cattelan, ZY Dou, M Federico, C Federman, ... arXiv preprint arXiv:2007.01788, 2020 | 47 | 2020 |
| Pairwise neural machine translation evaluation F Guzmán, S Joty, L Márquez, P Nakov 53rd Annual Meeting of the Association for Computational Linguistics 1, 805-814, 2015 | 46* | 2015 |
| 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 | 44 | 2020 |
| DiscoTK: Using Discourse Structure for Machine Translation Evaluation S Joty, F Guzmán, L Màrquez, P Nakov Proceedings of the Ninth Workshop on Statistical Machine Translation, 402–408, 2014 | 39* | 2014 |
| Machine translation evaluation with neural networks F Guzmán, S Joty, L Màrquez, P Nakov Computer Speech & Language 45, 180-200, 2017 | 33 | 2017 |
| Machine translation evaluation meets community question answering F Guzmán, L Màrquez, P Nakov arXiv preprint arXiv:1912.02998, 2019 | 31* | 2019 |
| No language left behind: Scaling human-centered machine translation N Team, MR Costa-jussà, J Cross, O Çelebi, M Elbayad, K Heafield, ... arXiv preprint arXiv:2207.04672, 2022 | 29 | 2022 |
| QCRI at IWSLT 2013: Experiments in Arabic-English and English-Arabic Spoken Language Translation H Sajjad, F Guzmán, P Nakov, A Abdelali, K Murray, F Al Obaidli, S Vogel | 28 | 2013 |
Vishrav ChaudharyMicrosoft TuringVerified email at microsoft.com
