Formal Analysis for Natural Language Processing: A Handbook - Rilegato

Feng, Zhiwei

Rilegato

ISBN 10: 981165171X ISBN 13: 9789811651717

Casa editrice: Springer-Nature New York Inc, 2023

Riassunto

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.

Su questo libro

Informazioni sull'autore

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.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 981165171X
• ISBN 13: 9789811651717
• Rilegatura: Copertina rigida
• Numero di pagine: 816
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Germania