French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2022

French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English

Abstract

Warning: This paper contains explicit statements of offensive stereotypes which may be upsetting. Much work on biases in natural language processing has addressed biases linked to the social and cultural experience of English speaking individuals in the United States. We seek to widen the scope of bias studies by creating material to measure social bias in language models (LMs) against specific demographic groups in France. 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. We introduce 1,677 sentence pairs in French that cover stereotypes in ten types of bias like gender and age. 1,467 sentence pairs are translated from CrowS-pairs and 210 are newly crowdsourced and translated back into English. The sentence pairs contrast stereotypes concerning underadvantaged groups with the same sentence concerning advantaged groups. We find that four widely used language models (three French, one multilingual) favor sentences that express stereotypes in most bias categories. We report on the translation process, which led to a characterization of stereotypes in CrowS-pairs including the identification of US-centric cultural traits. We offer guidelines to further extend the dataset to other languages and cultural environments.
Fichier principal
Vignette du fichier
ACLFinal.pdf (185.36 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03629677 , version 1 (04-04-2022)

Identifiers

  • HAL Id : hal-03629677 , version 1

Cite

Aurélie Névéol, Yoann Dupont, Julien Bezançon, Karën Fort. French CrowS-Pairs: Extending a challenge dataset for measuring social bias in masked language models to a language other than English. ACL 2022 - 60th Annual Meeting of the Association for Computational Linguistics, May 2022, Dublin, Ireland. ⟨hal-03629677⟩
479 View
711 Download

Share

Gmail Facebook X LinkedIn More