@inproceedings{winkie-etal-2026-developing,
    title = "Developing A {H}awaiian Corpus Toolkit for Data-Driven Language Learning",
    author = "Winkie, Joseph  and
      Miller, Michol  and
      Wu, Winston",
    editor = "Agyapong, Godfred  and
      Moeller, Sarah  and
      Arppe, Antti  and
      Marashian, Ali  and
      Rosenblum, Daisy",
    booktitle = "Proceedings of the Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages ({C}omput{EL}-9)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.computel-1.18/",
    pages = "167--176",
    ISBN = "979-8-89176-422-4",
    abstract = "This paper presents the development of an online multimodal corpus toolkit designed for data-driven language learning in Hawaiian. The toolkit supports corpus linguistics analyses including concordance/KWIC (Key Word In Context) searches, frequency analysis, collocation analyses, and complex queries with n-grams and regex pattern matching. Specifically designed for educators, students, and parents within the Hawaiian community, this easy-to-use tool facilitates a data-driven language learning process by enabling users to explore authentic language data, identify patterns, and develop deeper understanding of Hawaiian language structures through computational methods. By integrating corpus-based approaches into language education, this toolkit contributes significantly to preserving and promoting Hawaiian language learning and supports the broader community{'}s efforts in language revitalization."
}