@article{ahumada-oliva-sadat-2026-amulwe,
    title = {Amulwe Kim{\"u}n: A Community-Grounded Demo, Resource, and {ASR} Baseline for Mapuzugun},
    author = "Ahumada Oliva, Cristian Eduardo  and
      Sadat, Fatiha",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    journal = "International Conference on Language Resources and Evaluation",
    volume = "main",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://preview.aclanthology.org/ingest-lrec/2026.lrec-main.266/",
    pages = "3360--3368",
    abstract = {This paper introduces Amulwe Kim{\"u}n ({''}a means or path for knowledge'' in Mapuzugun), a community-grounded multimodal quiz application co-created with Mapuche speakers to support the revitalization of Mapuzugun. Developed within a FACSO{--}CONADI collaboration during an intensive language course, the platform integrates multiple-choice, ordering and free-text exercises, as well as forums and chat functions to promote language practice, peer learning, and a sense of community. A pilot involving 32 learners produced 562 responses across 43 questions, with accuracies of 92.3{\%} (multiple choice), 55.2{\%} (ordering), and 7.1{\%} (free-text), offering insights for refining item design and evaluation strategies. The low open-answer accuracy is related to a strict exact-match scoring and orthographic variation of the language. In addition, we present an initial Automatic Speech Recognition (ASR) prototype (Whisper-small + LoRA), establishing a fine-tuned baseline relative to zero-shot performance. The demo illustrates how community-grounded design, language resources, and lightweight evaluation can productively meet in a practical tool for an endangered language.}
}