Probabilistic Approaches to Linguistic Theory

Häftad, Engelska, 2023

324 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-02-24
Mått:6 x 9 x 1 mm
Format:Häftad
Språk:Engelska
Antal sidor:150
Förlag:Centre for the Study of Language & Information
ISBN:9781684000791

Utforska kategorier

Språkvetenskap och lingvistik inom Språk och ordböcker

Mer om författaren

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.

Innehållsförteckning

Introduction vii1 Computational Morphology 1Christo Kirov and Richard Sproat2 Something Old, Something New: Grammar-based CCGb Parsing with Transformer Models 39Stephen Clark3 Probabilistic Lexical Semantics: From Gaussian Embeddings to Bernoulli Fields 65Guy Emerson4 The origins of vagueness 123Peter Sutton5 Bayesian Inference Semantics for Natural Language 159Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin and Aleksandre Maskharashvili6 Probabilistic pragmatics: A dialogical perspective 227Bill Noble, Vladislav Maraev, and Ellen Breitholtz7 Neuro-computation for Language processing 259Vidya Somashekarappa8 Learning Language Games Probabilistically: From Crying to Compositionality 283Robin Cooper, Jonathan Ginzburg and Staffan Larsson9 Distributional Semantics for Situated Spatial Language? Functional, Geometric and Perceptual Perspectives 319John D. Kelleher and Simon Dobnik10 Action coordination and learning in dialogue 357Arash Eshghi, Christine Howes, and Eleni Gregoromichelaki11 Reanalysis, probability, and the faculty of language 419Asad B. SayeedContributors 435Glossary 439