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Ana Guerberof-Arenas

2 accepted papers

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…

2022

DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages

EMNLP 2022main

We introduce DivEMT, the first publicly available post-editing study of Neural Machine Translation (NMT) over a typologically diverse set of target languages. Using a strictly controlled setup, 18 professional translators were instructed to translate or post-edit the same set of English documents in…