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Joss Moorkens
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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
312*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
1702018
Under pressure: translation in times of austerity
J Moorkens
Perspectives 25 (3), 464-477, 2017
1542017
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
1502019
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
1482017
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
1342018
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
1232018
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
1202017
Translation quality assessment
J Moorkens, S Castilho, F Gaspari, S Doherty
Machine translation: Technologies and applications ser. Cham: Springer …, 2018
1062018
Investigating the experience of translation technology labs: pedagogical implications
S Doherty, J Moorkens
The Journal of Specialised Translation, 122-136, 2013
972013
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
962015
“A tiny cog in a large machine” Digital Taylorism in the translation industry
J Moorkens
Translation Spaces 9 (1), 12-34, 2020
842020
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
782015
Post-editing neural machine translation versus translation memory segments
P Sánchez-Gijón, J Moorkens, A Way
Machine Translation 33 (1), 31-59, 2019
602019
Ethics and machine translation
J Moorkens
Machine translation for everyone: Empowering users in the age of artificial …, 2022
582022
Towards intelligent post-editing interfaces
S O'Brien, J Moorkens
BDU Fachverlag, 2014
492014
User Attitudes to the Post-Editing Interface
J Moorkens, S O’Brien
Machine Translation Summit XIV, 19, 2013
492013
Copyright and the re-use of translation as data
J Moorkens, D Lewis
The Routledge handbook of translation and technology, 469-481, 2019
482019
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
462018
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
422021
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