Development of AI-Powered Chatbot for Learning Igbo Language

Abstract

This study presents the development of an intelligent chatbot system designed for learning the Igbo language, one of Nigeria’s major indigenous languages. In the face of globalization and urbanization, which increasingly threaten the survival of African indigenous languages, there is a pressing need for innovative and accessible tools that support both language acquisition and cultural preservation. The proposed chatbot leverages Natural Language Processing (NLP) and conversational Artificial Intelligence (AI) to deliver an interactive and user-friendly learning platform. The system provides personalized learning experiences through conversational interactions, covering key linguistic components such as vocabulary, grammar, and everyday expressions. By simulating natural dialogue, the chatbot enables users to practice reading, writing, and comprehension skills in a supportive, low-pressure environment. Its architecture comprises natural language understanding modules, a knowledge base containing Igbo linguistic rules and vocabulary and a response generation component that produces contextually relevant outputs. This research contributes to the advancement of Computer-Assisted Language Learning for underrepresented languages and offers a scalable framework for developing similar tools for other indigenous African languages. Ultimately, the system promotes broader access to Igbo language education while supporting efforts to preserve its cultural heritage.