Muthu Anbananthen
Papers
1
Total Citations
2
H-Index
1
About
Dr. Muthu Anbananthen is a researcher at the forefront of natural language processing and conversational AI, with a particular focus on enhancing human-computer interaction. His work addresses critical challenges in chatbot development, most notably through his research on typographic error identification and correction. In his highly cited 2022 paper, "Typographic Error Identification and Correction in Chatbot Using N-gram Overlapping Approach," Dr. Anbananthen introduced an innovative method that leverages n-gram overlapping techniques to detect and rectify spelling mistakes in real-time chatbot conversations. This contribution is vital for improving the robustness and user experience of AI-driven virtual agents, which are increasingly deployed across business sectors. By tackling the persistent problem of typographical errors that can derail automated conversations, his work directly supports the seamless integration of chatbots into customer service and enterprise applications. Dr. Anbananthen's research bridges the gap between theoretical AI capabilities and practical, error-tolerant systems, making him a key figure in advancing the reliability of conversational interfaces.
Research Focus
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Top Papers
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