2024
MiTTenS: A Dataset for Evaluating Gender Mistranslation
EMNLP 2024main
Translation systems, including foundation models capable of translation, can produce errors that result in gender mistranslation, and such errors can be especially harmful. To measure the extent of such potential harms when translating into and out of English, we introduce a dataset, MiTTenS, coveri…