What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study

What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study Beatrice Savoldi author Sara Papi author Matteo Negri author Ana Guerberof-Arenas author Luisa Bentivogli author 2024-11 text Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing Yaser Al-Onaizan editor Mohit Bansal editor Yun-Nung Chen editor Association for Computational Linguistics Miami, Florida, USA conference publication savoldi-etal-2024-harm 10.18653/v1/2024.emnlp-main.1002 https://aclanthology.org/2024.emnlp-main.1002/ 2024-11 18048 18076