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Yedurkar D. Artificial Intelligence for Natural Language Processing 2026
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Description:
Textbook in PDF format
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 â from fundamental wordâlevel analysis to complex discourse and pragmatic analysis â integrating linguistic theory with cuttingâedge 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 realâworld application, making it an invaluable resource for anyone looking to grasp the nuances of language processing.
Featurec
Provides a stepâbyâstep progression from wordâlevel analysis to syntactic, semantic, and pragmatic processing
Offers inâdepth discussions on word sense disambiguation with illustrative examples
Presents an exploration of discourse integration and contextual meaning essential for modern NLP models
Delivers comprehensive coverage of AI applications in NLP, highlighting stateâofâtheâart computational techniques
Suggests clear, accessible explanations suitable for both beginners and advanced practitioners
This 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.
Table of Contents
Introduction and WordâLevel Analysis
Syntactic Analysis
Semantic Analysis
Discourse and Pragmatic Analysis
Artificial Intelligence in NLP