| Neural machine translation of rare words with subword units R Sennrich arXiv preprint arXiv:1508.07909, 2015 | 8756 | 2015 |
| Moses: Open source toolkit for statistical machine translation P Koehn, H Hoang, A Birch, C Callison-Burch, M Federico, N Bertoldi, ... Proceedings of the 45th annual meeting of the association for computational …, 2007 | 7295 | 2007 |
| Improving neural machine translation models with monolingual data R Sennrich arXiv preprint arXiv:1511.06709, 2015 | 3071 | 2015 |
| Marian: Fast neural machine translation in C++ M Junczys-Dowmunt, R Grundkiewicz, T Dwojak, H Hoang, K Heafield, ... arXiv preprint arXiv:1804.00344, 2018 | 787 | 2018 |
| Edinburgh neural machine translation systems for WMT 16 R Sennrich, B Haddow, A Birch arXiv preprint arXiv:1606.02891, 2016 | 607 | 2016 |
| Edinburgh system description for the 2005 IWSLT speech translation evaluation P Koehn, A Axelrod, AB Mayne, C Callison-Burch, M Osborne, D Talbot Proceedings of the Second International Workshop on Spoken Language Translation, 2005 | 457 | 2005 |
| Nematus: a toolkit for neural machine translation R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ... arXiv preprint arXiv:1703.04357, 2017 | 450 | 2017 |
| Controlling politeness in neural machine translation via side constraints R Sennrich, B Haddow, A Birch-Mayne 15th Annual Conference of the North American Chapter of the Association for …, 2016 | 361 | 2016 |
| Evaluating discourse phenomena in neural machine translation R Bawden, R Sennrich, A Birch, B Haddow arXiv preprint arXiv:1711.00513, 2017 | 310 | 2017 |
| The University of Edinburgh's neural MT systems for WMT17 R Sennrich, A Birch, A Currey, U Germann, B Haddow, K Heafield, ... arXiv preprint arXiv:1708.00726, 2017 | 199 | 2017 |
| Prompting large language model for machine translation: A case study B Zhang, B Haddow, A Birch International Conference on Machine Learning, 41092-41110, 2023 | 160 | 2023 |
| CCG supertags in factored statistical machine translation A Birch, M Osborne, P Koehn Proceedings of the second workshop on Statistical Machine Translation, 9-16, 2007 | 147 | 2007 |
| Survey of low-resource machine translation B Haddow, R Bawden, AVM Barone, J Helcl, A Birch Computational Linguistics 48 (3), 673-732, 2022 | 139 | 2022 |
| Towards making the most of context in neural machine translation Z Zheng, X Yue, S Huang, J Chen, A Birch arXiv preprint arXiv:2002.07982, 2020 | 103 | 2020 |
| Deep architectures for neural machine translation AVM Barone, J Helcl, R Sennrich, B Haddow, A Birch arXiv preprint arXiv:1707.07631, 2017 | 103 | 2017 |
| Predicting target language CCG supertags improves neural machine translation M Nadejde, S Reddy, R Sennrich, T Dwojak, M Junczys-Dowmunt, ... arXiv preprint arXiv:1702.01147, 2017 | 99* | 2017 |
| Predicting success in machine translation A Birch, M Osborne, P Koehn Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 98 | 2008 |
| Hallucinations in large multilingual translation models NM Guerreiro, DM Alves, J Waldendorf, B Haddow, A Birch, P Colombo, ... Transactions of the Association for Computational Linguistics 11, 1500-1517, 2023 | 87 | 2023 |
| Language model prior for low-resource neural machine translation C Baziotis, B Haddow, A Birch arXiv preprint arXiv:2004.14928, 2020 | 77 | 2020 |
| Metrics for MT evaluation: evaluating reordering A Birch, M Osborne, P Blunsom Machine Translation 24, 15-26, 2010 | 65 | 2010 |
Rico SennrichUniversity of ZurichVerified email at cl.uzh.ch
