Jani{\c{c}}a Hackenbuchner — accepted AI-conference papers

2025

Glitter: A Multi-Sentence, Multi-Reference Benchmark for Gender-Fair German Machine Translation

A Pranav, Jani{\c{c}}a Hackenbuchner, Giuseppe Attanasio, Manuel Lardelli, Anne Lauscher

EMNLP 2025

Machine translation (MT) research addressing gender inclusivity has gained attention for promoting non-exclusionary language representing all genders. However, existing resources are limited in size, most often consisting of single sentences, or single gender-fair formulation types, leaving question

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2025

Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE

Beatrice Savoldi, Giuseppe Attanasio, Eleonora Cupin, Eleni Gkovedarou, Jani{\c{c}}a Hackenbuchner, Anne Lauscher +4

EMNLP 2025

Avoiding the propagation of undue (binary) gender inferences and default masculine language remains a key challenge towards inclusive multilingual technologies, particularly when translating into languages with extensive gendered morphology. Gender-neutral translation (GNT) represents a linguistic s

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