From Words to Action: A National Initiative to Overcome Data Scarcity for the Slovene LLM

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dc.contributor.authorHoldt, Špela Arhar
dc.contributor.authorAntloga, Špela
dc.contributor.authorMunda, Tina
dc.contributor.authorPori, Eva
dc.contributor.authorKrek, Simon
dc.contributor.editorTudor, Crina Madalina
dc.contributor.editorDebess, Iben Nyholm
dc.contributor.editorBruton, Micaella
dc.contributor.editorScalvini, Barbara
dc.contributor.editorIlinykh, Nikolai
dc.contributor.editorHoldt, Špela Arhar
dc.coverage.spatialTallinn, Estonia
dc.date.accessioned2025-02-14T10:36:30Z
dc.date.available2025-02-14T10:36:30Z
dc.date.issued2025-03
dc.description.abstractLarge Language Models (LLMs) have demonstrated significant potential in natural language processing, but they depend on vast, diverse datasets, creating challenges for languages with limited resources. The paper presents a national initiative that addresses these challenges for Slovene. We outline strategies for large-scale text collection, including the creation of an online platform to engage the broader public in contributing texts and a communication campaign promoting openly accessible and transparently developed LLMs.
dc.description.urihttps://aclanthology.org/2025.resourceful-1.0/
dc.identifier.urihttps://hdl.handle.net/10062/107125
dc.language.isoen
dc.publisherUniversity of Tartu Library
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleFrom Words to Action: A National Initiative to Overcome Data Scarcity for the Slovene LLM
dc.typeArticle

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Proceedings of the Third Workshop on Resources and Representations for Under-Resourced Languages and Domains (RESOURCEFUL-2025)