Probabilistic Approaches to Linguistic Theory (Paperback)

A textbook exploring predictive modes of linguistic development and analysis. During the last two decades, computational linguists, in concert with other researchers in AI, have turned to machine learning and statistical techniques to capture features of natural language and aspects of the learning process that are not easily accommodated in classical algebraic frameworks. These developments are producing a revolution in linguistics in which traditional symbolic systems are giving way to probabilistic and deep learning approaches. This collection features articles that provide background to these approaches, and their application in syntax, semantics, pragmatics, morphology, psycholinguistics, neurolinguistics, and dialogue modeling. Each chapter provides a self-contained introduction to the topic that it covers, making this volume accessible to graduate students and researchers in linguistics, NLP, AI, and cognitive science.

General

Imprint:	Centre for the Study of Language & Information
Country of origin:	United States
Release date:	December 2022
Authors:	Jean-Philippe Bernardy • Rasmus Blanck • Stergios Chatzikyriakidi • Shalom Lappin • Aleksandre Maskharashvili
Dimensions:	9 x 6mm (L x W)
Format:	Paperback
Pages:	150
ISBN-13:	978-1-68400-079-1
Categories:	Books > Language & Literature > Language & linguistics > General Promotions
LSN:	1-68400-079-3
Barcode:	9781684000791

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