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).
2026
MaTIAS Machine Translation to Inform Asylum Seekers : eindrapport MaTIAS onderzoeksrapport (2023 - 2025) (.pdf)
De Wilde, J., Wouters, A., Macken, L., Maryns, K, van Hest, E, Tezcan, A., Fonteyne, M., Van den Meersschaut, S., & Lumingu, M. (2026).
GAND Dataset: Gender-Ambiguous Natural Data
Hackenbuchner, J., Degraeuwe, JRD, Tezcan, A., & Daems, J (2026).
Fuzzy semantic retrieval strategies for automated short-answer grading with Large Language Models in language learning (.pdf)
Moerman, T.M., Degraeuwe, JRD, & Tezcan, A. (2026).
Beyond reproduction : a paired-task framework for assessing LLM comprehension and creativity in literary translation (.pdf)
Zhang, R., Eger, S., Tezcan, A., Zhao, W., Ponzetto, S.P., & Macken, L. (2026).
2025
Adding word sense awareness to computer-assisted language learning methods : a tailor-made word sense disambiguation method for Spanish as a foreign language (.pdf)
Degraeuwe, JRD, Goethals, P., & Tezcan, A. (2025).
Gender bias and the role of context in human perception and machine translation (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2025).
Gender Bias and the Role of Context in Human Perception and Machine Translation (.pdf)
Hackenbuchner, J., Daems, J, & Tezcan, A. (2025).
Machine translation to inform asylum seekers : intermediate findings from the MaTIAS project (.pdf)
Macken, L., van Hest, E, Tezcan, A., Lumingu, M., Maryns, K, & De Wilde, J. (2025).
Machine translation in asylum reception centres : system selection and multilingual quality evaluation (.pdf)
Macken, L., Fonteyne, M., Tezcan, A., van Hest, E, Maryns, K, & De Wilde, J. (2025).
Tailoring machine translation for scientific literature through topic filtering and fuzzy match augmentation (.pdf)
Moerman, T.M., Vanallemeersch, T., Szoc, S., & Tezcan, A. (2025).
2024
Intelligent Vocabulary and Example Selection for Spanish vocabulary learning (IVESS): project data
Degraeuwe, JRD, Goethals, P., Macken, L., & Tezcan, A. (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).
Automatische tekstgeneratie (.pdf)
Lefever, E., & Tezcan, A. (2024).
MaTIAS : Machine Translation to Inform Asylum Seekers (.pdf)
Macken, L., van Hest, E, Tezcan, A., Lumingu, M., Maryns, K, & De Wilde, J. (2024).
Machine translation for open scholarly communication : examining the relationship between translation quality and reading effort (.pdf)
Macken, L., De Wilde, V., & Tezcan, A. (2024).
Automatische vertaling (.pdf)
Macken, L., & Tezcan, A. (2024).
Leveraging synthetic monolingual data for fuzzy-match augmentation in neural machine translation : a preliminary study (.pdf)
Moerman, T.M., & Tezcan, A. (2024).
Improving fuzzy match augmented neural machine translation in specialised domains through synthetic data (.pdf)
Tezcan, A., Skidanova, A., & Moerman, T.M. (2024).
2023
Translations and Open Science : exploring how translation technologies can support multilingualism in scholarly communication (.pdf)
Fiorini, S., Tezcan, A., Vanallemeersch, T., Szoc, S., Migdisi, K., Meeus, L., & Macken, L. (2023).
Adapting machine translation education to the neural era : a case study of MT quality assessment (.pdf)
Macken, L., Vanroy, B., & Tezcan, A. (2023).
MATEO : MAchine Translation Evaluation Online (.pdf)
Vanroy, B., Tezcan, A., & Macken, L. (2023).
2022
Literary translation as a three-stage process : machine translation, post-editing and revision (.pdf)
Macken, L., Vanroy, B., Desmet, L., & Tezcan, A. (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).
Evaluating the impact of integrating similar translations into neural machine translation (.pdf)
Tezcan, A., & Bulté, B. (2022).
Measuring cross-lingual syntactic similarity (.pdf)
Vanroy, B., De Clercq, O., Tezcan, A., & Macken, L. (2022).
2021
Building a new-generation corpus for empirical translation studies : the Dutch Parallel Corpus 2.0 (.pdf)
Reynaert, R., Macken, L., Tezcan, A., & De Sutter, G. (2021).
Towards a better integration of fuzzy matches in neural machine translation through data augmentation (.pdf)
Tezcan, A., Bulté, B., & Vanroy, B. (2021).
Metrics of syntactic equivalence to assess translation difficulty (.pdf)
Vanroy, B., De Clercq, O., Tezcan, A., Daems, J, & Macken, L. (2021).
2020
Literary machine translation under the magnifying glass : assessing the quality of an NMT-translated detective novel on document level (.pdf)
Fonteyne, M., Tezcan, A., & Macken, L. (2020).
Literary MT under the magnifying glass: Assessing the quality of an NMT-translated Agatha Christie novel (.pdf)
Fonteyne, M., Tezcan, A., & Macken, L. (2020).
Quantifying the effect of machine translation in a high-quality human translation production process (.pdf)
Macken, L., Prou, D., & Tezcan, A. (2020).
Assessing the Comprehensibility of Automatic Translations (ArisToCAT) (.pdf)
Macken, L., Fonteyne, M., Tezcan, A., & Daems, J (2020).
Estimating word-level quality of statistical machine translation output using monolingual information alone (.pdf)
Tezcan, A., Hoste, V., & Macken, L. (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
Neural fuzzy repair : integrating fuzzy matches into neural machine translation (.pdf)
Bulté, B., & Tezcan, A. (2019).
Vocabulary selection for didactic purposes : report on a machine learning approach (.pdf)
Goethals, P., Tezcan, A., & Degraeuwe, JRD (2019).