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Publications

2023

Gender-inclusive translation for a gender-inclusive sport : strategies and translator perceptions at the International Quadball Association (.pdf)

Daems, J (2023).

A process-based perspective on the effects of machine translation on L2 writing (.pdf)

Fonteyne, M., Daems, J, Montero Perez, M., & Macken, L. (2023).

How adaptive is adaptive machine translation, really? A gender-neutral language use case (.pdf)

Kostikova, A., Daems, J, & Lazarov, T. (2023).

Evaluation of adaptive machine translation from a gender-neutral language perspective (.pdf)

Kostikova, A., Lazarov, T., & Daems, J (2023).

Developing user-centred approaches to technological innovation in literary translation (DUAL-T) (.pdf)

Ruffo, P., Daems, J, & Macken, L. (2023).

2022

GECO-MT : the Ghent Eye-tracking Corpus of Machine Translation (.pdf)

Colman, T., Fonteyne, M., Daems, J, Dirix, N., & Macken, L. (2022).

DeBiasByUs : raising awareness and creating a database of MT bias (.pdf)

Daems, J, & Hackenbuchner, J. (2022).

Dutch literary translators’ use and perceived usefulness of technology : the role of awareness and attitude (.pdf)

Daems, J (2022).

Literaire automatische vertaling? Enkele inzichten uit het onderzoeksveld (.pdf)

Daems, J (2022).

Google Translate in Foreign Language Education: Raising Teachers’ and Learners’ Awareness About Machine Translation (.pdf)

Fonteyne, M., Montero Perez, M., Daems, J, & Macken, L. (2022).

Writing in a Second Language with Machine Translation (.pdf)

Fonteyne, M., Montero Perez, M., Daems, J, & Macken, L. (2022).

Writing in a second Language with Machine translation (WiLMa) (.pdf)

Fonteyne, M., Montero Perez, M., Daems, J, & Macken, L. (2022).

Machine Translation enhanced literary translation (.pdf)

Macken, L., Daems, J, Vanroy, B., & Tezcan, A. (2022).

The use of machine translation in real-life professional translation scenarios (.pdf)

Macken, L., Tezcan, A., Daems, J, & Vanroy, B. (2022).

2021

It’s all in the eyes: an eye tracking experiment to assess the readability of machine translated literature

Colman, T., Fonteyne, M., Daems, J, & Macken, L. (2021).

It's all in the eyes: using eye-tracking to assess the readability of machine translated literature

Colman, T., Fonteyne, M., Daems, J, & Macken, L. (2021).

Wat denken literaire vertalers echt over technologie? (.pdf)

Daems, J (2021).

Metrics of syntactic equivalence to assess translation difficulty (.pdf)

Vanroy, B., De Clercq, O., Tezcan, A., Daems, J, & Macken, L. (2021).

Ontwikkelingen rond literair vertalen en technologie : een inleiding (.pdf)

van Egdom, G., & Daems, J (2021).

2020

Post-editing human translations and revising machine translations : impact on efficiency and quality (.pdf)

Daems, J, & Macken, L. (2020).

Reuniting the sister disciplines of translation and interpreting studies (.pdf)

Defrancq, B., Daems, J, & Vandevoorde, L. (2020).

Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (.pdf)

Macken, L., Fonteyne, M., Tezcan, A., & Daems, J (2020).

Gutenberg goes neural : comparing features of Dutch human translations with raw neural machine translation outputs in a corpus of English literary classics (.pdf)

Webster, R., Fonteyne, M., Tezcan, A., Macken, L., & Daems, J (2020).

2019

Van CAT tot TenT : van computerondersteund vertalen tot vertaalomgevingen

Daems, J, & Macken, L. (2019).

Interactive adaptive SMT versus interactive adaptive NMT : a user experience evaluation (.pdf)

Daems, J, & Macken, L. (2019).

NMT’s wonderland where people turn into rabbits : a study on the comprehensibility of newly invented words in NMT output (.pdf)

Macken, L., Van Brussel, LVB, & Daems, J (2019).

When a `sport' is a person and other issues for NMT of novels (.pdf)

Tezcan, A., Daems, J, & Macken, L. (2019).

Improving the translation environment for professional translators (.pdf)

Vandeghinste, V., Vanallemeersch, T., Augustinus, L., Bulté, B., Van Eynde, F., Pelemans, J., Verwimp, L., Wambacq, P., Heyman, G., Moens, M., van der Lek-Ciudin, I., Steurs, F., Rigouts Terryn, A., Lefever, E., Tezcan, A., Macken, L., Hoste, V., Daems, J, Buysschaert, J., Coppers, S., Van den Bergh, J., & Luyten, K. (2019).

2018

How do students cope with machine translation output of Multi-Word Units? An exploratory study (.pdf)

Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2018).

A translation robot for each translator? A comparative study of manual translation and post-editing of machine translations: process, quality and translator attitude (.pdf)

Daems, J (2018).

2017

Translation methods and experience : a comparative analysis of human translation and post-editing with students and professional translators (.pdf)

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).

Translationese and post-editese : how comparable is comparable quality? (.pdf)

Daems, J, De Clercq, O., & Macken, L. (2017).

Identifying the machine translation error types with the greatest impact on post-editing effort (.pdf)

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2017).

Automatische vertaalsystemen : hel of hulp? (.pdf)

Daems, J (2017).

2016

The effectiveness of consulting external resources during translation and postediting of general text types (.pdf)

Daems, J, Carl, M., Vandepitte, S., Hartsuiker, R., & Macken, L. (2016).

A translation robot for each translator? : a comparative study of manual translation and post-editing of machine translations: process, quality and translator attitude (.pdf)

Daems, J (2016).

2015

Comparing HT and PE using advanced research tools

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2015).

The impact of machine translation error types on post-editing effort indicators (.pdf)

Daems, J, Vandepitte, S., Hartsuiker, R., & Macken, L. (2015).

Annotation Guidelines for English-Dutch Machine Translation Quality Assessment

Tezcan, A., Macken, L., & Daems, J (2015).

2014

On the origin of errors: a fine-grained analysis of MT and PE errors and their relationship (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2014).

Lost in post-editing: Identifying the MT error types that are most problematic for student post-editors

Daems, J, Macken, L., Vandepitte, S., & Hartsuiker, R. (2014).

Two sides of the same coin : assessing translation quality in two steps through adequacy and acceptability error analysis (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2014).

Snelheid vs. kwaliteit: schuilt er wel winst in het gebruik van automatische vertaalsystemen? (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2014).

2013

Annotation Guidelines for English-Dutch Translation Quality Assessment, version 1.1 (.pdf)

Daems, J, Macken, L., & Vandepitte, S. (2013).

Machine Translation: Friend or Foe? Translator Attitude, Process, Productivity and Quality in Human Translation and Post-editing Machine Translation

Daems, J, Tondeleir, L., & Macken, L. (2013).