Development of AI-Powered Chatbot for Learning Igbo Language

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.

AI-Powered, Chatbot, Igbo, Natural Language Processing

1. Achebe, C. N., & Obioma, K. R. (2022). Language maintenance among Igbo diaspora communities: Challenges and opportunities. Journal of African Diaspora Languages, 8(2), 45-62. [Google Scholar] [Crossref]

2. Adebara, I., Muhammad, S. H., Abdulmumin, I., Awokoya, A., Adelani, D. I., Ibrahim, A., AbdulKabir, M., Bakare, T., Ahmad, I. S., & Ruder, S. (2023). NaijaVoices: A Nigerian English speech corpus for speech recognition research. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2541-2556. [Google Scholar] [Crossref]

3. Adegbite, W., & Ogunsiji, A. (2024). Nigerian multilingualism in the digital age: Policy implications and community responses. Language Policy and Planning in Africa, 15(1), 78-95. [Google Scholar] [Crossref]

4. Adelani, D. I., Alabi, J., Fan, A., Kreutzer, J., Shen, X., Reid, M., & Ruder, S. (2024). The IgboAPI dataset: Empowering Igbo language technologies through multi-dialectal enrichment. arXiv preprint arXiv:2405.00997. [Google Scholar] [Crossref]

5. Bamgbose, A. (2022). Language and exclusion: The consequences of language policies in Africa. Multilingual Matters. [Google Scholar] [Crossref]

6. Bibauw, S., François, T., & Desmet, P. (2022). Discussing with a computer to practice a foreign language: Research synthesis and conceptual framework of chatbot-assisted language learning. Computer Assisted Language Learning, 35(4), 827-863. [Google Scholar] [Crossref]

7. Blench, R. (2022). The classification of Nigerian languages: Current status and future directions. Kay Williamson Educational Foundation. [Google Scholar] [Crossref]

8. Chen, L., Wang, M., & Johnson, K. (2024). Opportunities and challenges of large language models for low-resource languages in humanities research. arXiv preprint arXiv:2412.04497. [Google Scholar] [Crossref]

9. Crystal, D. (2022). The Cambridge encyclopedia of language (4th ed.). Cambridge University Press. [Google Scholar] [Crossref]

10. Cummins, J. (2021). Rethinking the education of multilingual learners: A critical analysis of theoretical concepts. Multilingual Matters. [Google Scholar] [Crossref]

11. Emenanjo, E. N. (2023). Igbo language in the 21st century: Challenges and opportunities. Africana Publishers. [Google Scholar] [Crossref]

12. Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z. (2022). Stimulating and sustaining interest in a language course: An experimental comparison of chatbot and human task partners. Computers in Human Behavior, 135, 107356. [Google Scholar] [Crossref]

13. García-Martínez, I., Tadeu, P., & Belmonte, J. L. (2024). Chatbots in language learning: A systematic review of research, applications, and challenges. Educational Technology Research and Development, 72(2), 245-278. [Google Scholar] [Crossref]

14. Hinton, L., Huss, L., & Roche, G. (Eds.). (2022). The Routledge handbook of language revitalization (2nd ed.). Routledge. [Google Scholar] [Crossref]

15. Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot‐supported language learning. Journal of Computer Assisted Learning, 38(1), 237-257. [Google Scholar] [Crossref]

16. Hwang, G. J., & Chang, C. Y. (2021). A review of opportunities and challenges of chatbots in education. Interactive Learning Environments, 31(8), 4099-4112. [Google Scholar] [Crossref]

17. Kim, N. Y., Cha, Y., & Kim, H. S. (2023). The use of chatbots in university EFL settings: Research trends and pedagogical implications. Frontiers in Psychology, 14, 1131506. [Google Scholar] [Crossref]

18. Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2022). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. [Google Scholar] [Crossref]

19. Nwaozuzu, G. I. (2023). Urban youth and Igbo language vitality: A sociolinguistic study of language attitudes in southeastern Nigeria. International Journal of the Sociology of Language, 2023(279), 67-85. [Google Scholar] [Crossref]

20. Ogbonna, C. K., & Ikechukwu, M. A. (2024). Design and implementation of an automated web-based Igbo text analyzer using natural language processing (NLP) tools. ResearchGate Publication, 384461055. [Google Scholar] [Crossref]

21. Okafor, C. N., & Udechukwu, A. (2023). IgboAPI: A comprehensive lexical resource for Igbo language learning applications. African Journal of Information and Communication Technology, 19(3), 78-95. [Google Scholar] [Crossref]

22. Okwu, O. I., & Taruvinga, A. (2021). Language shift among African immigrant communities: The case of Igbo speakers in South Africa. Language Matters [Google Scholar] [Crossref]

23. Onyenwe, I. E., Uchechukwu, C., & Hepple, M. (2022). A large annotated Igbo corpus for natural language processing. Language Resources and Evaluation, 56(2), 487-520. [Google Scholar] [Crossref]

24. Phillipson, R. (2022). Linguistic imperialism (3rd ed.). Oxford University Press. [Google Scholar] [Crossref]

25. Zhang, B., Wu, L., & Anderson, T. (2023). Integrating chatbots in education: Insights from the chatbot-human interaction satisfaction model (CHISM). International Journal of Educational Technology in Higher Education, 20(1), 1-25. [Google Scholar] [Crossref]

26. Soria, K. M., & Martinez, R. (2024). Digital divides and indigenous language preservation: Technology access and language maintenance among Native American communities. International Journal of Indigenous Education. [Google Scholar] [Crossref]

27. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2022). Systematic review of research on artificial intelligence applications in higher education–where are the educators? International Journal of Educational Technology in Higher Education [Google Scholar] [Crossref]

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