LIMBA: An Open-Source Framework for the Preservation and Valorization of Low-Resource Languages using Generative Models
November 20, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Salvatore Mario Carta, Stefano Chessa, Giulia Contu, Andrea Corriga, Andrea Deidda, Gianni Fenu, Luca Frigau, Alessandro Giuliani, Luca Grassi, Marco Manolo Manca, Mirko Marras, Francesco Mola, Bastianino Mossa, Piergiorgio Mura, Marco Ortu, Leonardo Piano, Simone Pisano, Alessia Pisu, Alessandro Sebastian Podda, Livio Pompianu, Simone Seu, Sandro Gabriele Tiddia
arXiv ID
2411.13453
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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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