Publications
In press
Automatic detection of (potential) factors in the source text leading to gender bias in machine translation (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2024).
Systematic, Stereotypical or an Educated Guess? Gender inference by humans and machine translation systems of words in and out of context (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2024).
Can We Interpret Gender? Using Contrastive Explanations to Understand Gender Choices by Translation Systems (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2025).
Dative alternation in Italian-to-Dutch translation : a corpus-based study of the effect of structural priming (.pdf)
Antonioli, F, Daems, J, Vranjes, J., & De Sutter, G. (2026).
Impact of proficiency on Chinese EFL learners’ interaction with AI-generated feedback for translation revision (.pdf)
Li, X., Wang, X., & Daems, J (2026).
2026
Post-editing of machine translation (.pdf)
Daems, J, & Nitzke, J. (2026).
Dutch audience perceptions of human and machine-translated pronouns for non-binary referent in subtitles (.pdf)
Daems, J, Van Hee, C., & Van Muylem, A. (2026).
GAND Dataset: Gender-Ambiguous Natural Data
Hackenbuchner, J., Degraeuwe, JRD, Tezcan, A., & Daems, J (2026).
AI for translation and interpreting : a roadmap for users and policymakers (.pdf)
Peeters, K., Daems, J, Plieseis, C., Rivas Ginel, M., & Şahin, M. (2026).
2025
Machine translation literacy in the age of GenAI (.pdf)
Dorst, A., Salmi, L., Daems, J, & Koponen, M. (2025).
Selecting instruments for investigating L2 Swedish writing data of L1 Dutch learners across proficiencies (.pdf)
Fonteyne, M., Montero Perez, M., Daems, J, & Macken, L. (2025).
Gender bias in English-to-Greek machine translation (.pdf)
Gkovedarou, EG, Daems, J, & Bruyne, L. (2025).
Gender bias and the role of context in human perception and machine translation (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2025).
GENDEROUS : machine translation and cross-linguistic evaluation of a gender-ambiguous dataset (.pdf)
Hackenbuchner, J., Gkovedarou, EG, & Daems, J (2025).
GENDEROUS: Machine Translation and Cross-Linguistic Evaluation of a Gender-Ambiguous Dataset (.pdf)
Hackenbuchner, J., Gkovedarou, EG, & Daems, J (2025).
Gender Bias and the Role of Context in Human Perception and Machine Translation (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2025).
How does the use of Text-to-Speech technology affect the effort of post-editors working into their L2? (.pdf)
Kotsi, F., Lazarov, T., & Daems, J (2025).
The role of translation workflows in overcoming translation difficulties : a comparative analysis of human and machine translation (post-editing) approaches (.pdf)
Macken, L., Ruffo, P., & Daems, J (2025).
AI for translation and interpreting : a roadmap for users and policy makers (.pdf)
Peeters, K., Daems, J, Plieseis, C., Rival Ginel, I., & Sahin, M. (2025).
2024
Impact of translation workflows with and without MT on textual characteristics in literary translation (.pdf)
Daems, J, Ruffo, P., & Macken, L. (2024).
Maatschappelijke implicaties en ethiek (.pdf)
Daems, J, Hoste, V., Van Hee, C., & Doğruöz, A.S. (2024).
Zelf aan de slag (.pdf)
Daems, J, Macken, L., De Clercq, O., & Van Hee, C. (2024).
Deugdzaam databeheer
Daems, J, Hoste, V., Doğruöz, A.S., & Van Hee, C. (2024).
Privacybewaking en Maatschappelijk Welzijn
Daems, J, Hoste, V., Doğruöz, A.S., & Van Hee, C. (2024).
Rechtvaardigheid en Transparantie
Daems, J, Hoste, V., Doğruöz, A.S., & Van Hee, C. (2024).
Respect voor de Bescherming van Natuur en Milieu
Daems, J, Hoste, V., Van Hee, C., & Doğruöz, A.S. (2024).
You shall know a word’s gender by the company it keeps : comparing the role of context in human gender assumptions with MT (.pdf)
Hackenbuchner, J., Tezcan, A., Maladry, A, & Daems, J (2024).
You Shall Know a Word’s Gender by the Company it Keeps: Comparing the Role of Context in Human Gender Assumptions with MT (.pdf)
Hackenbuchner, J., Maladry, A, Daems, J, & Tezcan, A. (2024).
Automatic detection of (potential) factors in the source text leading to gender bias in machine translation (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2024).
Measured and perceived effort : assessing three literary translation workflows (.pdf)
Ruffo, P., Daems, J, & Macken, L. (2024).
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).
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).