What is the effect of transferring English-derived debiasing methods on the alignment quality of multilingual sentence embeddings

Abstract

Abstract: This paper investigates the transferability of debiasing techniques across different languages within multilingual models. We examine the applicability of these techniques in English, French, German, and Dutch. Using multilingual BERT (mBERT), we demonstrate that cross-lingual transfer of debiasing techniques is not only feasible but also yields promising results. Surprisingly, our findings reveal no performance disadvantages when applying these techniques to non-English languages. Using translations of the CrowS-Pairs dataset, our analysis identifies SentenceDebias as the best technique acros

Research Question

What is the effect of transferring English-derived debiasing methods on the alignment quality of multilingual sentence embeddings for French and German?

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