Joss Moorkens
Title
Cited by
Cited by
Year
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
132*2017
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
592017
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 (3-4), 267-284, 2015
572015
A comparative quality evaluation of PBSMT and NMT using professional translators
S Castilho, J Moorkens, F Gaspari, R Sennrich, V Sosoni, ...
AAMT, 2017
512017
Under pressure: translation in times of austerity
J Moorkens
Perspectives 25 (3), 464-477, 2017
502017
Investigating the experience of translation technology labs: pedagogical implications
S Doherty, J Moorkens
The Journal of Specialised Translation, 122-136, 2013
492013
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
442015
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
372018
Towards intelligent post-editing interfaces
S O'Brien, J Moorkens
BDU Fachverlag, 2014
342014
User Attitudes to the Post-Editing Interface
J Moorkens, S O’Brien
Machine Translation Summit XIV, 19, 2013
342013
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
272018
Approaches to human and machine translation quality assessment
S Castilho, S Doherty, F Gaspari, J Moorkens
Translation Quality Assessment, 9-38, 2018
242018
Translation Quality Assessment
J Moorkens, S Castilho, F Gaspari, S Doherty
Machine translation: Technologies and applications ser. Cham: Springer …, 2018
232018
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
202019
Evaluating MT for massive open online courses
S Castilho, J Moorkens, F Gaspari, R Sennrich, A Way, ...
Machine translation 32 (3), 255-278, 2018
162018
Testing interaction with a mobile MT post-editing app
O Torres-Hostench, J Moorkens, S O'Brien, J Vreeke
Translation & Interpreting 9 (2), 138-150, 2017
162017
A virtuous circle: laundering translation memory data using statistical machine translation
J Moorkens, S Doherty, D Kenny, S O'Brien
Perspectives 22 (3), 291-303, 2014
162014
Comparing Translator Acceptability of TM and SMT outputs
J Moorkens, A Way
Baltic J. Modern Computing 4 (2), 141-151, 2016
152016
Post-editing neural machine translation versus translation memory segments
P Sánchez-Gijón, J Moorkens, A Way
Machine Translation 33 (1), 31-59, 2019
142019
Ethical considerations in NLP shared tasks
C Parra Escartín, W Reijers, T Lynn, J Moorkens, A Way, CH Liu
Association for Computational Linguistics, 2017
132017
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