Formal Analysis for Natural Language Processing: A Handbook - Softcover

Feng, Zhiwei

Softcover

ISBN 10: 9811651744 ISBN 13: 9789811651748

Publisher: Springer, 2024

Synopsis

The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing. 

At a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on natural language processing or computational linguistics, or as a supplement to courses on artificial intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.

About this title

About the Author

Feng Zhiwei is a computational linguist and senior research fellow at the Institute of Applied Linguistics, Ministry of Education, China. He has a broad and extensive background in linguistics, mathematics and computer science, and has been engaged in interdisciplinary research in linguistics, mathematics and computer science for more than 50 years. One of the first natural language processing and computational linguistics scholars in China, he has published more than 30 books and more than 400 papers in China and abroad. He is the winner of the NLPCC (Natural Language Processing & Chinese Computing) Distinguished Achievement Award of the CCF (China Computer Federation) in 2018.

From the Back Cover

The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing. 

At a time characterized by the steady and vigorous growth of natural language processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on natural language processing or computational linguistics, or as a supplement to courses on artificial intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.

Edition details

• Publisher: Springer
• Publication date: 2024
• Language: English
• ISBN 10: 9811651744
• ISBN 13: 9789811651748
• Binding: Paperback
• Number of pages: 813