@inproceedings{erhart-etal-2026-sociolinguistic,
    title = "Sociolinguistic aspects of crowdsourcing for a vocal corpus of {A}lsatian",
    author = "Erhart, Pascale  and
      Hamm, Lucile  and
      Bigeard, Sam  and
      Werner, Carole  and
      Yaich, Malek  and
      Ouni, Slim",
    editor = "Anastasopoulos, Antonis  and
      Markantonatou, Stella  and
      Ralli, Angela  and
      Zampieri, Marcos  and
      Bompolas, Stavros  and
      Stamou, Vivian",
    booktitle = "Proceedings of the First Workshop on Dialects in {NLP} {---} A Resource Perspective",
    month = may,
    year = "2026",
    address = "Palma de Mallorca",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/revision-workflow/2026.dialres-1.25/",
    doi = "10.63317/5ch7cwah438g",
    pages = "256--264",
    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."
}