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French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English
We build on the US-centered CrowS-pairs dataset to create a multilingual stereotypes dataset that allows for comparability across languages while also characterizing biases that are specific to each country and language.
French CrowS-Pairs: Extension à une langue autre que l’anglais d’un corpus de mesure des biais sociétaux dans les modèles de langue masqués (French CrowS-Pairs : Extending a challenge dataset for measuring social bias in masked language models to a language other than English)
Nous montrons que quatre modèles de langue favorisent les énoncés qui expriment des stéréotypes dans la plupart des catégories.
Use of a Citizen Science Platform for the Creation of a Language Resource to Study Bias in Language Models for French: A Case Study
We created three tasks on the LanguageARC citizen science platform to assist with the translation of an existing resource from English into French as well as the collection of complementary resources in native French.
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