| 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 |
| 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 |
| A multifaceted evaluation of neural versus phrase-based machine translation for 9 language directions A Toral, VM Sánchez-Cartagena arXiv preprint arXiv:1701.02901, 2017 | 248 | 2017 |
| A proposal to automatically build and maintain gazetteers for Named Entity Recognition by using Wikipedia A Toral, R Munoz Proceedings of the Workshop on NEW TEXT Wikis and blogs and other dynamic …, 2006 | 215 | 2006 |
| 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 |
| Post-editese: an exacerbated translationese A Toral arXiv preprint arXiv:1907.00900, 2019 | 201 | 2019 |
| A set of recommendations for assessing human–machine parity in language translation S Läubli, S Castilho, G Neubig, R Sennrich, Q Shen, A Toral Journal of artificial intelligence research 67, 653–672-653–672, 2020 | 193 | 2020 |
| 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 |
| Creativity in translation: Machine translation as a constraint for literary texts A Guerberof-Arenas, A Toral Translation Spaces 11 (2), 184-212, 2022 | 189 | 2022 |
| The impact of post-editing and machine translation on creativity and reading experience A Guerberof-Arenas, A Toral Translation Spaces 9 (2), 255-282, 2020 | 147 | 2020 |
| Machine-assisted translation of literary text: A case study A Toral, A Way Translation Spaces 4 (2), 240-267, 2015 | 144 | 2015 |
| Semeval-2010 task 17: All-words word sense disambiguation on a specific domain E Agirre, OL De Lacalle, C Fellbaum, SK Hsieh, M Tesconi, M Monachini, ... Proceedings of the 5th international workshop on semantic evaluation, 75-80, 2010 | 114 | 2010 |
| Automatic extraction of Arabic multiword expressions M Attia, A Toral, L Tounsi, P Pecina, J Van Genabith Proceedings of the 2010 workshop on multiword expressions: From theory to …, 2010 | 107 | 2010 |
| Fine-grained human evaluation of neural versus phrase-based machine translation F Klubička, A Toral, VM Sánchez-Cartagena The Prague Bulletin of Mathematical Linguistics 108 (1), 121, 2017 | 102 | 2017 |
| The effect of translationese in machine translation test sets M Zhang, A Toral arXiv preprint arXiv:1906.08069, 2019 | 99 | 2019 |
| Perception vs. reality: measuring machine translation post-editing productivity F Gaspari, A Toral, SK Naskar, D Groves, A Way Proceedings of the 11th Conference of the Association for Machine …, 2014 | 95 | 2014 |
| Exploring neural methods for parsing discourse representation structures R Van Noord, L Abzianidze, A Toral, J Bos Transactions of the Association for Computational Linguistics 6, 619-633, 2018 | 86 | 2018 |
| Quantitative fine-grained human evaluation of machine translation systems: a case study on English to Croatian F Klubička, A Toral, VM Sánchez-Cartagena Machine Translation 32 (3), 195-215, 2018 | 80 | 2018 |
| Thank you BART! rewarding pre-trained models improves formality style transfer H Lai, A Toral, M Nissim arXiv preprint arXiv:2105.06947, 2021 | 73 | 2021 |
| Reassessing claims of human parity and super-human performance in machine translation at WMT 2019 A Toral arXiv preprint arXiv:2005.05738, 2020 | 69 | 2020 |
Andy WayADAPT Centre, Dublin City UniversityVerified email at adaptcentre.ie
