| 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 | 339 | 2019 |
| 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 | 83 | 2014 |
| 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 | 82 | 2019 |
| Optimizing for Sentence-Level BLEU+1 Yields Short Translations P Nakov, F Guzmán, S Vogel COLING, 2012 | 63 | 2012 |
| 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 | 59 | 2014 |
| 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 | 54 | 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 | 35 | 2019 |
| 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 | 35* | 2015 |
| 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 | 35* | 2014 |
| Machine translation evaluation meets community question answering F Guzmán, L Màrquez, P Nakov arXiv preprint arXiv:1912.02998, 2019 | 29* | 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 | 29 | 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 | 28 | 2019 |
| 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 | 24 | 2013 |
| Reassessment of the Role of Phrase Extraction in PBSMT F Guzmán, Q Gao, S Vogel The Twelfth Machine Translation Summit, 2009 | 18 | 2009 |
| Machine translation evaluation with neural networks F Guzmán, S Joty, L Màrquez, P Nakov Computer Speech & Language 45, 180-200, 2017 | 17 | 2017 |
| The AMARA corpus: Building resources for translating the web’s educational content F Guzmán, H Sajjad, A Abdelali, S Vogel Proceedings of the International Workshop on Spoken Language Translation …, 2013 | 17 | 2013 |
| MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering? F Guzmán, P Nakov, L Màrquez 10th International Workshop on Semantic Evaluation (SemEval-2016), 887--895, 2016 | 14* | 2016 |
| It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering F Nakov, Preslav and Màrquez, Lluís and Guzmán Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016 | 14 | 2016 |
| How do Humans Evaluate Machine Translation F Guzmán, A Abdelali, I Temnikova, H Sajjad, S Vogel Proceedings of the Tenth Workshop on Statistical Machine Translation (WMT …, 2015 | 14 | 2015 |
| A Tale about PRO and Monsters P Nakov, F Guzmán, S Vogel The 51st Annual Meeting of the Association for Computational Linguistics, 2013 | 14 | 2013 |
Vishrav ChaudharyFacebook AIVerified email at fb.com
