2 papers
cs.CL2026
Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution
Janiça Hackenbuchner, Jasper Degraeuwe, Arda Tezcan +1
Machine translation (MT) systems continue to produce gender-biased translations. In a time where self-expression is paramount, mistranslations based on default behaviour and stereo…
cs.CL2026
A technology-oriented mapping of the language and translation industry: Analysing stakeholder values and their potential implication for translation pedagogy
MarÃa Isabel Rivas Ginel, Janiça Hackenbuchner, Alina SecarÄ +2
This paper examines how value is constructed and negotiated in today's increasingly automated language and translation industry. Drawing on interview data from twenty-nine industry…