Probabilistic Approaches to Linguistic Theory
Jean-Philippe Bernardy author Shalom Lappin author Rasmus Blanck author Stergios Chatzikyriakidi author Aleksandre Maskharashvili author
Format:Paperback
Publisher:Centre for the Study of Language & Information
Published:25th Apr '23
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9781684000791
Dimensions: 9mm x 6mm x 1mm
Weight: unknown
150 pages