2024
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
EMNLP 2024main
Gender bias in machine translation (MT) is recognized as an issue that can harm people and society. And yet, advancements in the field rarely involve people, the final MT users, or inform how they might be impacted by biased technologies. Current evaluations are often restricted to automatic methods…