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        <title>Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning</title>
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        <namePart type="given">Joseph</namePart>
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            <namePart type="given">Godfred</namePart>
            <namePart type="family">Agyapong</namePart>
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        <name type="personal">
            <namePart type="given">Sarah</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning
%A Winkie, Joseph
%A Miller, Michol
%A Wu, Winston
%Y Agyapong, Godfred
%Y Moeller, Sarah
%Y Arppe, Antti
%Y Marashian, Ali
%Y Rosenblum, Daisy
%S Proceedings of the Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-9)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-422-4
%F winkie-etal-2026-developing
%X 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.
%U https://aclanthology.org/2026.computel-1.18/
%P 167-176

Markdown (Informal)

[Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning](https://aclanthology.org/2026.computel-1.18/) (Winkie et al., ComputEL 2026)

• Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning (Winkie et al., ComputEL 2026)

ACL

• Joseph Winkie, Michol Miller, and Winston Wu. 2026. Developing A Hawaiian Corpus Toolkit for Data-Driven Language Learning. In Proceedings of the Ninth Workshop on the Use of Computational Methods in the Study of Endangered Languages (ComputEL-9), pages 167–176, San Diego, California, USA. Association for Computational Linguistics.