The Role of AI in Preserving and Digitizing the Bodo Language: A Bibliometric and Systematic Review

Abstract

Digitization efforts for preserving the Bodo language face serious challenges because of limited linguistic data and insufficient computational resources. Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) technologies offer potential solutions through artificial intelligence. This study merges bibliometric analysis with systematic literature review methods to examine AI's role of AI in maintaining the Bodo language. By analyzing research trends and citation patterns, together with thematic developments, this study explores both the progress and challenges in AI-based linguistic processing for the Bodo language. This study reveals a growing interest in AI applications for under-resourced languages and identifies the need for interdisciplinary collaborations, better datasets, and AI model improvements. This study extends the dialogue on AI-enabled language preservation efforts and offers recommendations for future research in computational linguistics and Indigenous language revitalization.