Papers by Francesca de Luca Fornaciari

1 papers
Unmasking Biases: Exploring Gender Bias in English-Catalan Machine Translation through Tokenization Analysis and Novel Dataset (2024.lrec-main)

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Challenge: a new dataset focuses on gender-neutral terms that necessitate gendered translations in Catalan.
Approach: They propose to use a new dataset to evaluate gender bias in machine translation . they train four MT systems using different tokenization techniques .
Outcome: The proposed dataset focuses on gender-neutral terms necessitating gendered translations in Catalan.

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