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Vavanagi: a Community-run Platform for Documentation of the Hula Language in Papua New Guinea

arXiv 2603.14210 ↗First posted 15 Mar 2026cs.CLcited by 0

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Abstract (arXiv)

We present Vavanagi, a community-run platform for Hula (Vula'a), an Austronesian language of Papua New Guinea with approximately 10,000 speakers. Vavanagi supports crowdsourced English-Hula text translation and voice recording, with elder-led review and community-governed data infrastructure. To date, 77 translators and 4 reviewers have produced over 12k parallel sentence pairs covering 9k unique Hula words. We also propose a multi-level framework for measuring community involvement, from consultation to fully community-initiated and governed projects. We position Vavanagi at Level 5: initiative, design, implementation, and data governance all sit within the Hula community, making it, to our knowledge, the first community-led language technology initiative for a language of this size. Vavanagi shows how language technology can bridge village-based and urban members, connect generations, and support cultural heritage on the community's own terms.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 28 references that are in the map. First posted on arXiv 15 Mar 2026.

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References · 7

  1. 2020Participatory Research for Low-resourced Machine Translation: A Case Study in African Languagescited by 159
  2. 2022A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translationcited by 97
  3. 2021A Large-Scale Study of Machine Translation in the Turkic Languagescited by 21
  4. 2022Not always about you: Prioritizing community needs when developing endangered language technologycited by 21
  5. 2024"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologiescited by 12
  6. 2024Low-resource Machine Translation: what for? who for? An observational study on a dedicated Tetun language translation servicecited by 5
  7. 2025Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participationcited by 3

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