Joss Moorkens
Joss Moorkens
Associate Professor, Dublin City University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα dcu.ie - Αρχική σελίδα
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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
151*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
762017
Under pressure: translation in times of austerity
J Moorkens
Perspectives 25 (3), 464-477, 2017
702017
A comparative quality evaluation of PBSMT and NMT using professional translators
S Castilho, J Moorkens, F Gaspari, R Sennrich, V Sosoni, ...
AAMT, 2017
622017
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
622015
Investigating the experience of translation technology labs: pedagogical implications
S Doherty, J Moorkens
The Journal of Specialised Translation, 122-136, 2013
552013
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
512015
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
452018
User Attitudes to the Post-Editing Interface
J Moorkens, S O’Brien
Machine Translation Summit XIV, 19, 2013
412013
Approaches to human and machine translation quality assessment
S Castilho, S Doherty, F Gaspari, J Moorkens
Translation Quality Assessment, 9-38, 2018
372018
Towards intelligent post-editing interfaces
S O'Brien, J Moorkens
BDU Fachverlag, 2014
372014
Translation Quality Assessment
J Moorkens, S Castilho, F Gaspari, S Doherty
Machine translation: Technologies and applications ser. Cham: Springer …, 2018
352018
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
332018
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
252019
Testing interaction with a mobile MT post-editing app
O Torres-Hostench, J Moorkens, S O'Brien, J Vreeke
Translation & Interpreting, The 9 (2), 138-150, 2017
222017
Ethical considerations in NLP shared tasks
C Parra Escartín, W Reijers, T Lynn, J Moorkens, A Way, CH Liu
Association for Computational Linguistics, 2017
202017
Evaluating MT for massive open online courses
S Castilho, J Moorkens, F Gaspari, R Sennrich, A Way, ...
Machine translation 32 (3), 255-278, 2018
192018
Post-editing neural machine translation versus translation memory segments
P Sánchez-Gijón, J Moorkens, A Way
Machine Translation 33 (1), 31-59, 2019
172019
Comparing translator acceptability of TM and SMT outputs
J Moorkens, A Way
Baltic J. Modern Computing 4 (2), 141-151, 2016
162016
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
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