Artificial intelligence for natural language processing / Dhanalekshmi Prasad Yedurkar, Ganesh R. Pathak, Manisha Galphade, and Thompson Stephan.
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Boca Raton : CRC Press, 2026. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Yedurkar, Dhanalekshmi Prasad http://id.loc.gov/authorities/names/n2025504768 http://id.loc.gov/rwo/agents/n2025504768. |
| Other author/creator | Pathak, Ganesh R. http://id.loc.gov/authorities/names/n2025504769 http://id.loc.gov/rwo/agents/n2025504769. |
| Other author/creator | Galphade, Manisha http://id.loc.gov/authorities/names/n2025504771 http://id.loc.gov/rwo/agents/n2025504771. |
| Other author/creator | Stephan, Thompson http://id.loc.gov/authorities/names/n2022184714 http://id.loc.gov/rwo/agents/n2022184714. |
| Contents | Introduction and word-level analysis -- Syntactic analysis -- Semantic analysis -- Discourse and pragmatic analysis -- Artificial intelligence in NLP. |
| Abstract | "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 (NLP) through an engaging progression-from fundamental word-level analysis to complex discourse and pragmatic analysis-integrating linguistic theory with cutting-edge AI 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. 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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2025014922 |
| ISBN | 9781032545301 hardback |
| ISBN | 9781032545325 paperback |
| ISBN | ebook |