Findings of the 2019 conference on machine translation (WMT19) L Barrault, O Bojar, MR Costa-Jussa, C Federmann, M Fishel, Y Graham, ... ACL, 2019 | 729 | 2019 |
No language left behind: Scaling human-centered machine translation NLLB Team, MR Costa-jussà, J Cross, O Çelebi, M Elbayad, K Heafield, ... arXiv preprint arXiv:2207.04672, 2022 | 511* | 2022 |
Character-based neural machine translation MR Costa-jussà, JAR Fonollosa Proceedings of the ACL, 2016 | 408* | 2016 |
N-gram-based Machine Translation JB Marino, RE Banchs, JM Crego, A de Gispert, P Lambert, ... Computational linguistics 32 (4), 527-549, 2006 | 336 | 2006 |
Continual lifelong learning in natural language processing: A survey M Biesialska, K Biesialska, MR Costa-Jussa arXiv preprint arXiv:2012.09823, 2020 | 210 | 2020 |
Character-based neural machine translation MR Costa-jussà, JAR Fonollosa https://arxiv.org/pdf/1603.00810.pdf, 2016 | 208 | 2016 |
Equalizing gender biases in neural machine translation with word embeddings techniques J Escudé Font, MR Costa-Jussa ArXiv e-prints, arXiv: 1901.03116, 2019 | 200* | 2019 |
Evaluating the underlying gender bias in contextualized word embeddings C Basta, MR Costa-Jussà, N Casas arXiv preprint arXiv:1904.08783, 2019 | 195 | 2019 |
Findings of the 2021 conference on machine translation (WMT21) A Farhad, A Arkady, B Magdalena, B Ondřej, C Rajen, C Vishrav, ... Proceedings of the Sixth Conference on Machine Translation, 1-88, 2021 | 165 | 2021 |
Latest trends in hybrid machine translation and its applications MR Costa-Jussa, JAR Fonollosa Computer Speech & Language 32 (1), 3-10, 2015 | 128 | 2015 |
Study and comparison of rule-based and statistical catalan-spanish machine translation systems MR Costa-Jussà, M Farrús, JB Marino, JAR Fonollosa Computing and informatics 31 (2), 245-270, 2012 | 92 | 2012 |
Automatic spanish translation of the squad dataset for multilingual question answering CP Carrino, MR Costa-Jussà, JAR Fonollosa arXiv preprint arXiv:1912.05200, 2019 | 79 | 2019 |
End-to-End Speech Translation with the Transformer. LC Vila, C Escolano, JAR Fonollosa, MR Costa-Jussa IberSPEECH, 60-63, 2018 | 74 | 2018 |
Linguistic-based evaluation criteria to identify statistical machine translation errors M Farrús Cabeceran, M Ruiz Costa-Jussà, JB Mariño Acebal, ... 14th Annual Conference of the European Association for Machine Translation …, 2010 | 74 | 2010 |
An analysis of gender bias studies in natural language processing MR Costa-jussà Nature Machine Intelligence 1 (11), 495-496, 2019 | 71 | 2019 |
Opinion mining of spanish customer comments with non-expert annotations on mechanical turk B Mellebeek, F Benavent, J Grivolla, J Codina-Filbá, MR Costa-Jussa, ... Proceedings of the NAACL HLT 2010 workshop on Creating speech and language …, 2010 | 58 | 2010 |
Statistical machine reordering MR Costa-Jussa, JAR Fonollosa Proceedings of the 2006 Conference on Empirical Methods in Natural Language …, 2006 | 57 | 2006 |
Fine-tuning neural machine translation on gender-balanced datasets MR Costa-jussà, A de Jorge Proceedings of the Second Workshop on Gender Bias in Natural Language …, 2020 | 50 | 2020 |
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ... arXiv preprint arXiv:2308.11596, 2023 | 48 | 2023 |
Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders C Escolano, MR Costa-jussà, JAR Fonollosa, M Artetxe arXiv preprint arXiv:2004.06575, 2020 | 46 | 2020 |