Exploring the Role of Artificial Intelligence in Language Documentation and Endangered Language Preservation.

Abstract

This paper explores the intersection of artificial intelligence (AI) and language preservation efforts, focusing on the documentation and preservation of endangered languages. With over 40% of the world's languages facing extinction, the need for innovative approaches to language documentation and preservation is urgent. Recent advancements in AI, including machine learning, natural language processing, and speech recognition, offer promising solutions to address the challenges faced by linguists and communities in preserving linguistic diversity. Through a comprehensive review of literature and case studies, this paper examines the role of AI in automating data collection, linguistic analysis, transcription, and even language revitalization efforts. Additionally, it discusses ethical considerations such as data bias, privacy, and cultural sensitivity in the application of AI technologies for language preservation. By highlighting the potential benefits and challenges of AI in this context, this paper aims to inform future research and practice in the field of endangered language preservation.