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

by Mura, Piergiorgio , Frigau, Luca , Carta, Salvatore Mario , Pisu, Alessia , Deidda, Andrea , Podda, Alessandro Sebastian , Contu, Giulia , Grassi, Luca , Giuliani, Alessandro , Manca, Marco Manolo , Sandro Gabriele Tiddia , Mola, Francesco , Corriga, Andrea , Marras, Mirko , Pompianu, Livio , Seu, Simone , Ortu, Marco , Mossa, Bastianino , Chessa, Stefano , Fenu, Gianni , Piano, Leonardo , Pisano, Simone

in Artificial intelligence / Cultural resources / Languages / Linguistics

2024

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

in Artificial intelligence / Cultural resources / Languages / Linguistics

2024

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

in Artificial intelligence / Cultural resources / Languages / Linguistics

2024

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Paper

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

Mura, Piergiorgio,

Frigau, Luca,

Carta, Salvatore Mario,

Pisu, Alessia,

Deidda, Andrea,

Podda, Alessandro Sebastian,

Contu, Giulia,

Grassi, Luca,

Giuliani, Alessandro,

Manca, Marco Manolo,

Sandro Gabriele Tiddia,

Mola, Francesco,

Corriga, Andrea,

Marras, Mirko,

Pompianu, Livio,

Seu, Simone,

Ortu, Marco,

Mossa, Bastianino,

Chessa, Stefano,

Fenu, Gianni,

Piano, Leonardo,

Pisano, Simone

2024

Overview

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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Publisher

Cornell University Library, arXiv.org

Subject

Artificial intelligence

/ Cultural resources

/ Languages

/ Linguistics