Artificial Intelligence for Natural Language Processing

Artificial Intelligence for Natural Language Processing offers a comprehensive exploration of how advanced computational methods are transforming the way machines understand human language. This book delves into the core principles of Natural Language Processing through an engaging progression – from fundamental word‑level analysis to complex discourse and pragmatic analysis – integrating linguistic theory with cutting‑edge Artificial Intelligence methodologies. It provides a robust framework for both the theoretical underpinnings and practical applications of NLP, ensuring that readers gain a clear understanding of how computers can effectively process and interpret human language.What sets this book apart is its methodical structure that guides the reader through each level of language analysis, building upon earlier chapters to culminate in a deep integration of artificial intelligence within NLP systems. The detailed explanations and examples are designed to bridge the gap between abstract theory and real‑world application, making it an invaluable resource for anyone looking to grasp the nuances of language processing.FEATURESProvides a step‑by‑step progression from word‑level analysis to syntactic, semantic, and pragmatic processingOffers in‑depth discussions on word sense disambiguation with illustrative examplesPresents an exploration of discourse integration and contextual meaning essential for modern NLP modelsDelivers comprehensive coverage of AI applications in NLP, highlighting state‑of‑the‑art computational techniquesSuggests clear, accessible explanations suitable for both beginners and advanced practitionersThis book is ideal for graduate students, researchers, and professionals in computer science, linguistics, and artificial intelligence. Whether you are a seasoned researcher looking to deepen your understanding or a newcomer eager to explore the field, Artificial Intelligence for Natural Language Processing serves as both an essential academic resource and a practical guide for navigating the evolving landscape of language technology.

Dhanalekshmi Prasad Yedurkar is a Postdoctoral Researcher at the University of Augsburg, Germany. She is also affiliated to MIT Art, Design and Technology University, Pune, India, as an Associate Professor in the School of Computing. She earned a PhD on the application of digital signal processing and artificial intelligence in anomaly detection of EEG signal. Her current research interests include natural language processing, tool condition monitoring for CNC processes, diagnosis and prognosis of gear monitoring, biomedical signal processing, machine learning, Internet of Things, and image processing.Ganesh R. Pathak is an Academic and a Researcher with over 26 years of experience bridging academia and industry. He is currently a Professor and Head of the Department of Computer Science and Engineering at the School of Computing, MIT Art, Design and Technology University, Pune.He earned a PhD in computer science and engineering with his research focused on developing a security framework for wireless sensor networks. He has published 34 research papers in reputed peer‑reviewed journals and conference proceedings, many of which are indexed in Scopus and SCI. His research and teaching interests focus on artificial intelligence, big data analytics, and cognitive modelling. As a mentor, he guides doctoral candidates in artificial intelligence, data science, cloud computing, and security.Beyond his research, he is an active contributor to the academic and professional community. He serves on various boards of studies, and he contributes as a reviewer and session chair at national and international conferences. Dr. Pathak also promotes automation and e‑governance in educational processes within the university. His efforts extend to skill development through numerous organized workshops, seminars, and faculty development programs, which strengthen his role as an admonitor in academia.Through his scholarly achievements, project leadership, and engagement in the academic community, Dr. Pathak continues to make contributions to the university and various institutions in advancing technology education and research.Manisha Galphade is an experienced Academic Professional currently working at the School of Computing, MIT Art, Design and Technology University, Pune. With a teaching career spanning 16 years, she has contributed significantly to the field of education. She teaches subjects including machine learning, database management system, theory of computation, data mining, and many more. Throughout her career, she has authored four conference papers, five journal papers, and three book chapters, showcasing her dedication to research and academic development. She is also pursuing a PhD at Veermata Jijabai Technological Institute, Mumbai, furthering her academic expertise. Her research area is artificial intelligence with research interests in time series analysis, image processing, and signal processing. Passionate about fostering innovation and critical t