Corpus-Assisted Multidimensional AI Applications in Language Teaching and an Intelligent Virtual Speaker

Abstract

The authors propose an evidence-based virtual AI application geared to using a successful implementation of AI for language learners and language teaching professionals and a virtual speaking tool that will serve as a foundation for further research and experimentation. The study promotes interdisciplinary collaboration among corpus linguists, language educators, and computer engineers for fostering the skills and the competences and the exchange of ideas and a shared vision for the future of AI-assisted language learning. The main objective of this action plan is to propose an application in which language teaching professionals and language learners will engage in English-speaking practice through a multidimensional (MD) environment incorporating cubic images and bilateral sound perception (hearing and speaking). The AI application will assign tasks to multidimensional characters using realistic sound effects to create a highly immersive and interactive environment for language teaching professionals.