Joke Daems
Joke Daems
Language and Translation Technology Team, Ghent University
Verified email at - Homepage
Cited by
Cited by
Identifying the machine translation error types with the greatest impact on post-editing effort
J Daems, S Vandepitte, RJ Hartsuiker, L Macken
Frontiers in psychology 8, 1282, 2017
Translation methods and experience: A comparative analysis of human translation and post-editing with students and professional translators
J Daems, S Vandepitte, RJ Hartsuiker, L Macken
Meta 62 (2), 245-270, 2017
Quality as the sum of its parts: A two-step approach for the identification of translation problems and translation quality assessment for HT and MT+ PE
J Daems, L Macken, S Vandepitte
Proceedings of the 2nd Workshop on Post-editing Technology and Practice, 2013
Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation
J Daems, L Macken
Machine Translation 33 (1-2), 117-134, 2019
The impact of machine translation error types on post-editing effort indicators
J Daems, S Vandepitte, R Hartsuker, L Macken
Proceedings of the 4th Workshop on Post-editing Technology and Practice, 2015
Translationese and post-editese: How comparable is comparable quality?
J Daems, O De Clercq, L Macken
Linguistica Antverpiensia New Series-Themes in Translation Studies 16, 89-103, 2017
A translation robot for each translator?: A comparative study of manual translation and post-editing of machine translations: Process, quality and translator attitude
J Daems
Ghent University, 2016
The effectiveness of consulting external resources during translation and post-editing of general text types
J Daems, M Carl, S Vandepitte, R Hartsuiker, L Macken
New Directions in Empirical Translation Process Research: Exploring theá…, 2016
When asport'is a person and other issues for NMT of novels
A Tezcan, J Daems, L Macken
Machine Translation Summit XVII, 40-49, 2019
On the origin of errors: A fine-grained analysis of MT and PE errors and their relationship.
J Daems, L Macken, S Vandepitte
LREC, 62-66, 2014
Gutenberg goes neural: Comparing features of dutch human translations with raw neural machine translation outputs in a corpus of english literary classics
R Webster, M Fonteyne, A Tezcan, L Macken, J Daems
Informatics 7 (3), 32, 2020
New empirical perspectives on translation and interpreting
J Daems, B Defrancq, L Vandevoorde
Routledge, 2019
NMT’s wonderland where people turn into rabbits. A study on the comprehensibility of newly invented words in NMT output
L Macken, L Van Brussel, J Daems
Computational Linguistics in the Netherlands Journal 9, 67-80, 2019
Metrics of syntactic equivalence to assess translation difficulty
B Vanroy, OD Clercq, A Tezcan, J Daems, L Macken
Explorations in empirical translation process research, 259-294, 2021
Improving the translation environment for professional translators
V Vandeghinste, T Vanallemeersch, L Augustinus, B BultÚ, F Van Eynde, ...
Informatics 6 (2), 24, 2019
Annotation Guidelines for English-Dutch Translation Quality Assessment, version 1.0
J Daems, L Macken
LT3 Technical Report-LT3 13.02. available from lt3. hogent. be/ená…, 2013
'Workers of the World’? A digital approach to classify the international scope of Belgian socialist newspapers, 1885–1940
J Daems, T D’haeninck, S Hengchen, T Zere, C Verbruggen
Journal of European Periodical Studies 4 (1), 99-114, 2019
Wat denken literaire vertalers echt over technologie?
J Daems
Post-editing human translations and revising machine translations: Impact on efficiency and quality
J Daems, L Macken
Translation Revision and Post-Editing, 50-70, 2020
Reuniting the sister disciplines of translation and interpreting studies
B Defrancq, J Daems, L Vandevoorde
New empirical perspectives on translation and interpreting, 1-10, 2019
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