ARTIFICIAL INTELLIGENCE IN LANGUAGE REVITALIZATION: A SYSTEMATIC REVIEW OF GLOBAL CHALLENGES AND OPPORTUNITIES

Abstract

The rate at which local languages become extinct is alarming and a factor for worry due to globalization and changing cultures. Artificial Intelligence opens opportunities that could support taking care of such languages. The work will seek to conduct a systematic review of the application of Artificial Intelligence in local language revitalization, including AI support for documentation, preservation, and learning, and also pinpoint challenges and opportunities. It adopted the systematic literature review methodology based on data from the Scopus database. Thematic analysis was performed to understand common patterns and opportunities concerning the use of AI. Results showed that, through NLP, ASR, and machine learning, AI could speed up the documentation and learning of local languages, especially in developed countries. However, even in developing countries, the stage is still characterized by some challenges, which involve minimal supporting infrastructure and policies. Conclusion AI can go a long way in supporting local languages, but further investment in technological infrastructure and policies and collaboration between governments, the private sector, and local communities is needed.