Probabilistic Approaches to Linguistic Theory
Published on 24. February 2023
Book
Paperback/Softback
150 pages
978-1-68400-079-1 (ISBN)
Description
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.
More details
Language
English
Place of publication
Stanford
United States
Target group
Professional and scholarly
Dimensions
Height: 9 mm
Width: 6 mm
Thickness: 1 mm
ISBN-13
978-1-68400-079-1 (9781684000791)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
Content
Introduction vii
1 Computational Morphology 1
Christo Kirov and Richard Sproat
2 Something Old, Something New: Grammar-based CCGb Parsing with Transformer Models 39
Stephen Clark
3 Probabilistic Lexical Semantics: From Gaussian Embeddings to Bernoulli Fields 65
Guy Emerson
4 The origins of vagueness 123
Peter Sutton
5 Bayesian Inference Semantics for Natural Language 159
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin and Aleksandre Maskharashvili
6 Probabilistic pragmatics: A dialogical perspective 227
Bill Noble, Vladislav Maraev, and Ellen Breitholtz
7 Neuro-computation for Language processing 259
Vidya Somashekarappa
8 Learning Language Games Probabilistically: From Crying to Compositionality 283
Robin Cooper, Jonathan Ginzburg and Staffan Larsson
9 Distributional Semantics for Situated Spatial Language? Functional, Geometric and Perceptual Perspectives 319
John D. Kelleher and Simon Dobnik
10 Action coordination and learning in dialogue 357
Arash Eshghi, Christine Howes, and Eleni Gregoromichelaki
11 Reanalysis, probability, and the faculty of language 419
Asad B. Sayeed
Contributors 435
Glossary 439
1 Computational Morphology 1
Christo Kirov and Richard Sproat
2 Something Old, Something New: Grammar-based CCGb Parsing with Transformer Models 39
Stephen Clark
3 Probabilistic Lexical Semantics: From Gaussian Embeddings to Bernoulli Fields 65
Guy Emerson
4 The origins of vagueness 123
Peter Sutton
5 Bayesian Inference Semantics for Natural Language 159
Jean-Philippe Bernardy, Rasmus Blanck, Stergios Chatzikyriakidis, Shalom Lappin and Aleksandre Maskharashvili
6 Probabilistic pragmatics: A dialogical perspective 227
Bill Noble, Vladislav Maraev, and Ellen Breitholtz
7 Neuro-computation for Language processing 259
Vidya Somashekarappa
8 Learning Language Games Probabilistically: From Crying to Compositionality 283
Robin Cooper, Jonathan Ginzburg and Staffan Larsson
9 Distributional Semantics for Situated Spatial Language? Functional, Geometric and Perceptual Perspectives 319
John D. Kelleher and Simon Dobnik
10 Action coordination and learning in dialogue 357
Arash Eshghi, Christine Howes, and Eleni Gregoromichelaki
11 Reanalysis, probability, and the faculty of language 419
Asad B. Sayeed
Contributors 435
Glossary 439