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Probabilistic Approaches to Linguistic Theory
Probabilistic Approaches to Linguistic Theory
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A01=Aleksandre Maskharashvili
A01=Jean-philippe Bernardy
A01=Rasmus Blanck
A01=Shalom Lappin
A01=Stergios Chatzikyriakidi
Author_Aleksandre Maskharashvili
Author_Jean-philippe Bernardy
Author_Rasmus Blanck
Author_Shalom Lappin
Author_Stergios Chatzikyriakidi
Category=CF
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eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Product details
- ISBN 9781684000791
- Dimensions: 6 x 9mm
- Publication Date: 24 Feb 2023
- Publisher: Centre for the Study of Language & Information
- Publication City/Country: US
- Product Form: 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.
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.
Jean-Philippe Bernardy is a researcher in the Linguistics and Theory of Science unit at the University of Gothenburg. Rasmus Blanck is a lecturer in logic and theoretical philosophy at the University of Gothenburg. Stergios Chatzikyriakidis is professor of computational linguistics at the University of Crete. Shalom Lappin is a senior researcher in the Linguistics and Theory of Science unit at the University of Gothenburg. Aleksandre Maskharashvili is a visiting professor in the Department of Linguistics at Ohio State University.
Probabilistic Approaches to Linguistic Theory
€40.99
