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The integration of chatbots into language learning has garnered significant attention due to their potential to revolutionize language acquisition processes. These intelligent conversational agents, powered by artificial intelligence and natural language processing technologies, offer unique opportunities for interactive and personalized language learning experiences. Chatbots can enhance learner engagement, motivation, and proficiency by providing immediate feedback, engaging learners in authentic conversations, and offering language practice opportunities.

This paper presents a comprehensive bibliometric analysis using multiple publication databases and indexing services. By examining a wide range of scholarly publications, including journals, conference papers, and books, this analysis aims to gain valuable insights into using chatbots for language learning. The selected databases and indexing services ensure the inclusiveness and comprehensiveness of the analysis, covering a diverse range of research publications.

The analysis explores key research themes and trends in chatbot-based language learning. It identifies influential authors and research groups, highlighting their contributions and impact on the development of this domain. By examining co-authorship networks, the analysis uncovers collaborative relationships and knowledge-sharing patterns among researchers, fostering potential collaborations and advancements within the field.

Furthermore, the analysis investigates the interconnections between concepts in chatbot-based language learning. The study identifies the central concepts and their relationships by examining the term co-occurrence networks, providing an overview of the research landscape. This information helps identify the prominent areas of focus and potential research gaps, guiding future investigations and developing innovative approaches.

The findings of this bibliometric analysis contribute to the current state of research on chatbots in language learning. They provide valuable insights into the existing knowledge, research trends, and collaborative networks within this rapidly evolving field. Researchers, practitioners, and policymakers can benefit from these insights by understanding the current landscape more deeply, identifying potential research directions, and fostering collaborations.