arXiv — NLP / Computation & Language · · 3 min read

Building Community-Centred NLP Resources for Puno Quechua

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Computer Science > Computation and Language

arXiv:2605.28253 (cs)
[Submitted on 27 May 2026]

Title:Building Community-Centred NLP Resources for Puno Quechua

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Abstract:The preservation of under-resourced languages requires digital tools and resources shaped by and for their speakers. We present the first dedicated ASR resources for Puno Quechua (ISO 639-3: qxp): (1) the largest speech corpus for any single Quechua variety, consisting in 66 hours of recordings for scripted and spontaneous speech (including 36 hours of manually transcribed and validated data), collected via a participatory design campaign; (2) the first systematic ASR benchmark for Puno Quechua, evaluating state-of-the-art models and fine-tuning Whisper-base, wav2vec2-base, and XLS-R-300M, with and without continued pre-training (CPT); (3) an open release of all datasets and fine-tuned models.
Comments: Sixth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP 2026), co-located with ACL 2026
Subjects: Computation and Language (cs.CL); Databases (cs.DB); Human-Computer Interaction (cs.HC)
Cite as: arXiv:2605.28253 [cs.CL]
  (or arXiv:2605.28253v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.28253
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Elwin Huaman [view email]
[v1] Wed, 27 May 2026 10:04:37 UTC (406 KB)
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