Artificial Intelligence (Ai): An Innovative Tool for The Revitalisation of The Ikwerre Language

Abstract

This study explores the role of Artificial Intelligence (AI) as an innovative tool for the revitalization of the Ikwerre language. As a vital marker of the Ikwerre people’s linguistic and cultural identity, the language is increasingly at risk as younger generations shift toward dominant languages like English due to its global significance and socio-economic advantages. This study adopts a theoretical evaluation approach, guided by Crystal’s (2000) theory of language revitalization. The research systematically analyzes the potential of AI in revitalizing and preserving the Ikwerre language through AI-powered technologies such as Natural Language Processing (NLP), and machine learning tools for speech-to-text conversion and vice versa, generative AI tools for creating visual materials and animations, conversational AI tools like chatbots and AI virtual assistants, amongst others. Findings suggest that integrating these tools into Ikwerre language learning can enhance accessibility, stimulate the interest of younger speakers, and contribute to culture preservation. For example, if the Ikwerre language is incorporated into a conversational AI chatbot such as DUOLINGO or a machine learning tool for speech-to-text conversion like Google Cloud Speech-to-text, they will enable widespread accessibility to the language while ensuring ease of pronunciation and spelling of the vocabulary of the language. However, the study identifies that one of the key challenges of revitalizing the Ikwerre language using AI tools is the limited availability of digital resources and online content in Ikwerre, restricting the AI models’ ability to process and teach the language effectively. The study, therefore, recommends that increased efforts should be channeled toward creating digital resources using the Ikwerre language to support AI-driven language revitalization.