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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).

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).

Dynamic adaptation of neural machine-translation systems through translation exemplars (.pdf)

Tezcan, A. (2022).

Integrating fuzzy matches into sentence-level quality estimation for neural machine translation (.pdf)

Tezcan, A. (2022).

Measuring cross-lingual syntactic similarity (.pdf)

Vanroy, B., De Clercq, O., Tezcan, A., & Macken, L. (2022).

2021

Preface (.pdf)

De Clercq, O., Rigouts Terryn, A., Doğruöz, A.S., Tezcan, A., Vanroy, B., Labat, S., & Macken, L. (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).

Estimating post-editing time using a gold-standard set of machine translation errors (.pdf)

Tezcan, A., Hoste, V., & Macken, L. (2019).

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

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