000			02149nam a2200301Ia 4500
000			03095nam a22003375i 4500
001			978-981-16-5172-4
003			DE-He213
005			20240319120805.0
007			cr nn 008mamaa
008			230509s2023 si | s |||| 0|eng d
020			_a9789811651724 _9978-981-16-5172-4
082			_a6.35
100			_aFeng, Zhiwei. _928816
245			_aFormal Analysis for Natural Language Processing: A Handbook _cby Zhiwei Feng. _h[electronic resource] /
250			_a1st ed. 2023.
260			_aSingapore _bSpringer Nature Singapore _c2023
300			_aXVII, 796 p. 3 illus. in color. _bonline resource.
520			_aThe 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.
650			_aComputational linguistics. _928817
650			_aComputational Linguistics. _928818
650			_aComputer Science Logic and Foundations of Programming. _928819
650			_aComputer science. _928820
650			_aNatural language processing (Computer science). _928821
650			_aNatural Language Processing (NLP). _928822
856			_uhttps://doi.org/10.1007/978-981-16-5172-4
942			_cEBK _2ddc
999			_c14993 _d14993