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
GAND Dataset: Gender-Ambiguous Natural Data
Hackenbuchner, J., Degraeuwe, JRD, Tezcan, A., & Daems, J (2026).
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).
Mind the inclusivity gap : multilingual gender-neutral translation evaluation with mGeNTE (.pdf)
Savoldi, B., Attanasio, G., Cupin, E., Gkovedarou, EG, Hackenbuchner, J., Lauscher, A., Negri, M., Piergentili, A., Thind, M., & Bentivogli, L. (2025).
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).
2022
DeBiasByUs : raising awareness and creating a database of MT bias (.pdf)
Daems, J, & Hackenbuchner, J. (2022).