| Estimation of parameters for machine translation without in-domain parallel data P Mathur, S Venkatapathy, N Cancedda US Patent 9,652,453, 2017 | 157 | 2017 |
| Training neural machine translation to apply terminology constraints G Dinu, P Mathur, M Federico, Y Al-Onaizan arXiv preprint arXiv:1906.01105, 2019 | 150 | 2019 |
| Findings of the IWSLT 2022 Evaluation Campaign. A Antonios, B Loc, L Bentivogli, MZ Boito, B Ondřej, R Cattoni, C Anna, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 75 | 2022 |
| Evaluating robustness to input perturbations for neural machine translation X Niu, P Mathur, G Dinu, Y Al-Onaizan arXiv preprint arXiv:2005.00580, 2020 | 50 | 2020 |
| Online learning approaches in computer assisted translation P Mathur, M Cettolo, M Federico Proceedings of the Eighth Workshop on Statistical Machine Translation, 301-308, 2013 | 38 | 2013 |
| Generating e-commerce product titles and predicting their quality JGC de Souza, M Kozielski, P Mathur, E Chang, M Guerini, M Negri, ... Proceedings of the 11th international conference on natural language …, 2018 | 25 | 2018 |
| Distilling multiple domains for neural machine translation A Currey, P Mathur, G Dinu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 24 | 2020 |
| Findings of the IWSLT 2023 evaluation campaign M Agarwal, S Agarwal, A Anastasopoulos, L Bentivogli, O Bojar, C Borg, ... Association for Computational Linguistics, 2023 | 15 | 2023 |
| Isometric mt: Neural machine translation for automatic dubbing SM Lakew, Y Virkar, P Mathur, M Federico ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 13 | 2022 |
| Sockeye 3: Fast neural machine translation with pytorch F Hieber, M Denkowski, T Domhan, BD Barros, CD Ye, X Niu, C Hoang, ... arXiv preprint arXiv:2207.05851, 2022 | 12 | 2022 |
| Retrieval of domain relevant phrase tables P Mathur, S Venkatapathy, N Cancedda US Patent 9,582,499, 2017 | 12 | 2017 |
| Embarrassingly easy document-level mt metrics: How to convert any pretrained metric into a document-level metric G Vernikos, B Thompson, P Mathur, M Federico arXiv preprint arXiv:2209.13654, 2022 | 10 | 2022 |
| The Uppsala-FBK systems at WMT 2011 C Hardmeier, J Tiedemann, M Saers, M Federico, M Prashant Sixth Workshop on Statistical Machine Translation: Proceedings of the …, 2011 | 10 | 2011 |
| GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation PK Choubey, A Currey, P Mathur, G Dinu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 9 | 2021 |
| Modern MT: A New Open-Source Machine Translation Platform for the Translation Industry. U Germann, E Barbu, L Bentivogli, N Bertoldi, N Bogoychev, C Buck, ... Baltic Journal of Modern Computing 4 (2), 2016 | 9 | 2016 |
| Fast domain adaptation of smt models without in-domain parallel data P Mathur, S Venkatapathy, N Cancedda Proceedings of COLING 2014, the 25th International Conference on …, 2014 | 9 | 2014 |
| Improving gender translation accuracy with filtered self-training PK Choubey, A Currey, P Mathur, G Dinu arXiv preprint arXiv:2104.07695, 2021 | 8 | 2021 |
| Isochrony-aware neural machine translation for automatic dubbing D Tam, SM Lakew, Y Virkar, P Mathur, M Federico arXiv preprint arXiv:2112.08548, 2021 | 7 | 2021 |
| Multi-lingual neural title generation for e-Commerce browse pages P Mathur, N Ueffing, G Leusch arXiv preprint arXiv:1804.01041, 2018 | 7 | 2018 |
| Topic adaptation for machine translation of e-commerce content P Mathur, M Federico, S Khadivi, H Sawaf Proceedings of MT Summit XV 1, 270-281, 2015 | 7 | 2015 |
Marcello FedericoAWS AI Labs, AmazonVerified email at amazon.com
