| Is neural machine translation the new state of the art? S Castilho, J Moorkens, F Gaspari, I Calixto, J Tinsley, A Way The Prague Bulletin of Mathematical Linguistics, 2017 | 429 | 2017 |
| Attaining the unattainable? reassessing claims of human parity in neural machine translation A Toral, S Castilho, K Hu, A Way arXiv preprint arXiv:1808.10432, 2018 | 299 | 2018 |
| Getting gender right in neural machine translation E Vanmassenhove, C Hardmeier, A Way Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 296 | 2018 |
| What level of quality can neural machine translation attain on literary text? A Toral, A Way Translation quality assessment: From principles to practice, 263-287, 2018 | 272 | 2018 |
| Quality expectations of machine translation A Way Translation quality assessment: From principles to practice, 159-178, 2018 | 260 | 2018 |
| Adaptive machine translation with large language models Y Moslem, R Haque, J Kelleher, A Way Proceedings of the 24th Annual Conference of the European Association for …, 2023 | 257 | 2023 |
| Exploiting cross-sentence context for neural machine translation L Wang, Z Tu, A Way, Q Liu arXiv preprint arXiv:1704.04347, 2017 | 249 | 2017 |
| Translators’ perceptions of literary post-editing using statistical and neural machine translation J Moorkens, A Toral, S Castilho, A Way Translation Spaces 7 (2), 240-262, 2018 | 202 | 2018 |
| Lost in translation: Loss and decay of linguistic richness in machine translation E Vanmassenhove, D Shterionov, A Way arXiv preprint arXiv:1906.12068, 2019 | 197 | 2019 |
| Post-editing effort of a novel with statistical and neural machine translation A Toral, M Wieling, A Way Frontiers in Digital Humanities 5, 9, 2018 | 190 | 2018 |
| A comparative quality evaluation of PBSMT and NMT using professional translators S Castilho, J Moorkens, F Gaspari, R Sennrich, V Sosoni, ... Proceedings of Machine Translation Summit XVI: Research Track, 116-131, 2017 | 154 | 2017 |
| Long-distance dependency resolution in automatically acquired wide-coverage PCFG-based LFG approximations A Cahill, M Burke, R O’Donovan, J Van Genabith, A Way Proceedings of the 42nd Annual Meeting of the Association for Computational …, 2004 | 149 | 2004 |
| Machine-assisted translation of literary text: A case study A Toral, A Way Translation Spaces 4 (2), 240-267, 2015 | 144 | 2015 |
| Statistical machine translation: a guide for linguists and translators M Hearne, A Way Language and Linguistics Compass 5 (5), 205-226, 2011 | 138 | 2011 |
| An example-based approach to translating sign language S Morrissey, A Way Workshop on example-based machine translation, 109-116, 2005 | 115 | 2005 |
| Recent advances in example-based machine translation M Carl, A Way Springer Science & Business Media, 2003 | 115 | 2003 |
| Bridging SMT and TM with translation recommendation Y He, Y Ma, J van Genabith, A Way Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 106 | 2010 |
| Human versus automatic quality evaluation of NMT and PBSMT D Shterionov, R Superbo, P Nagle, L Casanellas, T O’dowd, A Way Machine Translation 32 (3), 217-235, 2018 | 103 | 2018 |
| Emerging use-cases for machine translation A Way Proceedings of Translating and the Computer 35, 2013 | 98 | 2013 |
| Supertagged phrase-based statistical machine translation HH Awadalla, K Sima’an, A Way Proceedings of the 45th Annual Meeting of the Association of Computational …, 2007 | 96 | 2007 |
Josef van GenabithDFKI German Research Center for Artificial Intelligence, Saarland UniversityVerified email at dfki.de
