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
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 MT Summit XIV Workshop on Post-Editing Technology and …, 2013
Translation methods and experience: A comparative analysis of human translation and post-editing with students and professional translators
J Daems, S Vandepitte, R Hartsuiker, L Macken
Meta: Journal des traducteurs/Meta: Translators’ Journal 62 (2), 245-270, 2017
The impact of machine translation error types on post-editing effort indicators
J Daems, S Vandepitte, R Hartsuiker, L Macken
4th Workshop on Post-Editing Technology and Practice (WPTP4), 31-45, 2015
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, 111-133, 2016
Interactive adaptive SMT versus interactive adaptive NMT: a user experience evaluation
J Daems, L Macken
Machine Translation 33 (1), 117-134, 2019
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
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
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
When a ‘sport’is a person and other issues for NMT of novels
A Tezcan, J Daems, L Macken
Proceedings of the Qualities of Literary Machine Translation, 40-49, 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/en …, 2013
Metrics of syntactic equivalence to assess translation difficulty
B Vanroy, O De 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 Bulté, F Van Eynde, ...
Informatics 6 (2), 24, 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
New Empirical Perspectives on Translation and Interpreting
L Vandevoorde, J Daems, B Defrancq
Routledge, 2019
'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
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
Van CAT tot TenT: van computerondersteund vertalen tot vertaalomgevingen
J Daems, L Macken
In balans: een inleiding tot vertaal-en tolkwetenschap, 262-283, 2019
Towards a tool and data criticism framework. A developer’s and user’s perspective
S Chambers, J Daems, G Franzini, M Büchler, S Aasman
The abstracts of the DHBenelux 2017-Wednesday 5 July 2017, 72-74, 2017
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
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