In Africa, languages are crucial for preserving and transmitting cultural heritage, evident in traditions such as songs, proverbs, riddles, and tongue twisters. However, this linguistic diversity is rapidly diminishing. Kenya, home to over 42 ethnicities and about 55 unique languages, faces the endangerment of at least eight languages, including Terik, El Molo, Ogiek, Omotik, Bong'om, Sogoo, Suba, and Yaaku, predominantly spoken by those over 50 years old. This situation prompts the question: Can AI be leveraged to revitalize these languages and preserve their indigenous knowledge? Natural Language Processing (NLP) within AI offers tools for enhancing communication, translation, and education in diverse languages. This study explores the challenges and opportunities of using AI to revitalize and preserve endangered languages in Kenya. The challenges include limited skilled professionals, lack of data infrastructure, ethical concerns, unclear government policies, poor internet connectivity, and user apprehension. Despite these obstacles, AI presents significant opportunities: improving education and communication through NLP, boosting digital resources, creating economic opportunities, and empowering young speakers of endangered languages. Thus, AI has the potential to play a transformative role in safeguarding Kenya’s linguistic heritage.

Authors:
Hesborn Ondiba, Tokyo University of Science, Japan

About the Presenter(s)
Dr. Hesborn Ondiba is currently an Assistant Professor at Tokyo University of Science, Japan.

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https://www.linkedin.com/in/hesborn-ondiba-06695864

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