Formal analysis for natural language processing [electronic resource] : a handbook / Zhiwei Feng.

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Formal analysis for natural language processing [electronic resource] : a handbook / Zhiwei Feng.

9789811651724 (electronic bk.)
9811651728 (electronic bk.)
981165171X
9789811651717

Singapore : Springer, 2023.

English

1 online resource

10.1007/978-981-16-5172-4 doi

QA76.9.N38

006.3/5

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 fields 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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed May 24, 2023).

Print version: 9789811651717

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