Bibliographie complète
Sociolinguistic aspects of crowdsourcing for a vocal corpus of Alsatian
Type de ressource
Conference Paper
Auteurs/contributeurs
- Erhart, Pascale (Author)
- Hamm, Lucile (Author)
- Werner, Carole (Author)
- Yaich, Malek (Author)
- Bigeard, Sam (Author)
- Ouni, Slim (Author)
- Association (ELRA), European Language Resources (Editor)
Title
Sociolinguistic aspects of crowdsourcing for a vocal corpus of Alsatian
Abstract
Alsatian is a regional low-resource language spoken in a majority-language context. In order to create a voice dataset suited for training automatic speech recognition and speech-to-text models, we launched a crowdsourcing campaign on the platform Mozilla Common Voice. We describe sociolinguistic issues we ran into, such as participants’ perception of their own language and its role in the AI landscape, which are vital to address to raise the participation in the crowdsourcing effort. We found that the participants are often confused about NLP and AI tools, and have a strong interested in preserving their language.
Proceedings Title
Proceedings of the First Workshop on Dialects in NLP - A Resource Perspective
Place
Palma De Majorque, Spain
Date
2026-05
Pages
256-264
Accessed
25/08/2026 09:23
Library Catalog
HAL
Référence
Erhart, P., Hamm, L., Werner, C., Yaich, M., Bigeard, S., & Ouni, S. (2026). Sociolinguistic aspects of crowdsourcing for a vocal corpus of Alsatian. In E. L. R. Association (ELRA) (Ed.), Proceedings of the First Workshop on Dialects in NLP - A Resource Perspective (pp. 256–264). https://doi.org/10.63317/5ch7cwah438g
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