Papers by Aleix Sant

2 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.
SpeechAlign: A Framework for Speech Translation Alignment Evaluation (2024.lrec-main)

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Challenge: Speech-to-Speech and Speech- to-Text translation are currently dynamic areas of research.
Approach: They propose a framework to evaluate source-target alignment in speech models . they introduce a speech gold alignment dataset and introduce two new metrics .
Outcome: The proposed framework evaluates source-target alignment quality within speech models.

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