From Challenges to Opportunities: Agentic Artificial Intelligence for Low-Resource Languages
This article explores the role of agentic artificial intelligence (AI) in supporting low-resource languages (LRLs), spoken primarily by populations in developing economies, focusing on the challenges and solutions in creating language models for these contexts. It highlights the efforts of global institutions, governments, and the private sector in building sustainable AI ecosystems to empower speakers of LRLs.
Authors
- Nir Kshetri (ORCID: https://orcid.org/0000-0002-1408-4212)
Institutions
- University of North Carolina at Greensboro (US)
Publication Details
- Journal
- IT Professional
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1109/mitp.2025.3569009
- Citations
- 3
- Primary Topic
- Open Source Software Innovations
- Type
- article
- Field-Weighted Citation Impact
- 5.08