| Is Neural Machine Translation the New State of the Art? AW Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley Prague Bulletin of Mathematical Linguistics, 109-120, 2017 | 277* | 2017 |
| Approaches to human and machine translation quality assessment S Castilho, S Doherty, F Gaspari, J Moorkens Translation quality assessment: From principles to practice, 9-38, 2018 | 134 | 2018 |
| Assessing user interface needs of post-editors of machine translation J Moorkens, S O’Brien Human Issues in Translation Technology: The IATIS Yearbook, 109, 2017 | 132 | 2017 |
| Under pressure: translation in times of austerity J Moorkens Perspectives 25 (3), 464-477, 2017 | 125 | 2017 |
| Machine translation and post-editing training as part of a master’s programme A Guerberof Arenas, J Moorkens Jostrans: The Journal of Specialised Translation, 217-238, 2019 | 110 | 2019 |
| 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 | 104 | 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 | 103 | 2018 |
| What to expect from Neural Machine Translation: a practical in-class translation evaluation exercise J Moorkens The Interpreter and Translator Trainer 12 (4), 375-387, 2018 | 99 | 2018 |
| Translation quality assessment J Moorkens, S Castilho, F Gaspari, S Doherty Machine translation: Technologies and applications ser. Cham: Springer …, 2018 | 95 | 2018 |
| Correlations of perceived post-editing effort with measurements of actual effort J Moorkens, S O’brien, IAL Da Silva, NB de Lima Fonseca, F Alves Machine Translation 29, 267-284, 2015 | 87 | 2015 |
| Investigating the experience of translation technology labs: pedagogical implications S Doherty, J Moorkens The Journal of Specialised Translation, 122-136, 2013 | 84 | 2013 |
| Post-editing evaluations: Trade-offs between novice and professional participants J Moorkens, S O’Brien Proceedings of the 18th annual conference of the European association for …, 2015 | 75 | 2015 |
| “A tiny cog in a large machine” Digital Taylorism in the translation industry J Moorkens Translation Spaces 9 (1), 12-34, 2020 | 67 | 2020 |
| Post-editing neural machine translation versus translation memory segments P Sánchez-Gijón, J Moorkens, A Way Machine Translation 33 (1-2), 31-59, 2019 | 49 | 2019 |
| User Attitudes to the Post-Editing Interface J Moorkens, S O’Brien Machine Translation Summit XIV, 19, 2013 | 49 | 2013 |
| Towards intelligent post-editing interfaces S O'Brien, J Moorkens BDU Fachverlag, 2014 | 48 | 2014 |
| Evaluating MT for massive open online courses: A multifaceted comparison between PBSMT and NMT systems S Castilho, J Moorkens, F Gaspari, R Sennrich, A Way, ... Machine translation 32 (3), 255-278, 2018 | 41 | 2018 |
| Ethical considerations in NLP shared tasks C Parra Escartín, W Reijers, T Lynn, J Moorkens, A Way, CH Liu Association for Computational Linguistics, 2017 | 34 | 2017 |
| A review of the state-of-the-art in automatic post-editing F do Carmo, D Shterionov, J Moorkens, J Wagner, M Hossari, E Paquin, ... Machine Translation 35, 101-143, 2021 | 33 | 2021 |
| Copyright and the Reuse of Translation as Data J Moorkens, D Lewis Routledge, 2019 | 33 | 2019 |
Andy WayADAPT Centre, Dublin City UniversityVerified email at adaptcentre.ie
