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LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models

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arxiv 2411.13453 v1 pith:QSA3HK4R submitted 2024-11-20 cs.CL cs.AI

LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models

classification cs.CL cs.AI
keywords languagesframeworklanguagemodelsdataeffortslinguisticlow-resource
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Minority languages are vital to preserving cultural heritage, yet they face growing risks of extinction due to limited digital resources and the dominance of artificial intelligence models trained on high-resource languages. This white paper proposes a framework to generate linguistic tools for low-resource languages, focusing on data creation to support the development of language models that can aid in preservation efforts. Sardinian, an endangered language, serves as the case study to demonstrate the framework's effectiveness. By addressing the data scarcity that hinders intelligent applications for such languages, we contribute to promoting linguistic diversity and support ongoing efforts in language standardization and revitalization through modern technologies.

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