Papers by Romina Stella

1 papers
MiTTenS: A Dataset for Evaluating Gender Mistranslation (2024.emnlp-main)

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Challenge: Existing studies on gender mistranslation in translation systems have highlighted the problem . a dataset of 26 languages is presented to measure the extent of such errors .
Approach: They propose a dataset that measures the extent of gender mistranslation in translation systems . they use handcrafted passages that target known failure patterns and synthetically generated passages .
Outcome: The proposed dataset covers 26 languages from a variety of language families and scripts, including several traditionally under-represented in digital resources.

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