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New NLP Resources Released for Puno Quechua Language Preservation

Researchers have developed new NLP resources for Puno Quechua, an under-resourced language. This includes the largest speech corpus for any Quechua variety, with 66 hours of recordings and 36 hours of transcribed data. The project also established the first ASR benchmark for Puno Quechua, evaluating existing models and fine-tuning Whisper, wav2vec2, and XLS-R. All datasets and fine-tuned models are being released openly to aid language preservation. AI

IMPACT Provides crucial NLP tools and benchmarks for under-resourced languages, potentially enabling new applications and research.

RANK_REASON The cluster contains an academic paper detailing the creation and release of NLP resources for an under-resourced language.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New NLP Resources Released for Puno Quechua Language Preservation

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The cluster contains an academic paper detailing the creation and release of NLP resources for an under-resourced language.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Elwin Huaman, Adrian Gamarra Lafuente, Johanna Cordova, Anna Korhonen ·

    Building Community-Centred NLP Resources for Puno Quechua

    arXiv:2605.28253v1 Announce Type: new 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 a…

  2. arXiv cs.CL TIER_1 English(EN) · Anna Korhonen ·

    Building Community-Centred NLP Resources for Puno Quechua

    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 hour…