Work

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

Year: 2025

Type: article

Abstract: Large 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.

Source: DSpace repository (University of Tartu)

Authors: Holdt, Špela Arhar, Antloga, Špela, Munda, Tina, Pori, Eva, Krek, Simon

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7006861822

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