Overview
- The first volume on a highly promising approach to Natural Language Interpretation that fits with the use of stochastic methods
- Offers a solid introduction and in-depth exploration of Bayesian interpretation of Natural Language semantics
- Introduces new applications to argumentation and adjective semantics
- Includes supplementary material: sn.pub/extras
Part of the book series: Language, Cognition, and Mind (LCAM, volume 2)
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Table of contents (10 chapters)
Keywords
- Bayesian Pragmatics
- Bayesian interpretation
- Bayesian natural language semantics
- Bayesian networks
- Signal processing and probability
- Syntax-semantics distinction
- analysis of counter factuals
- causal Bayesian models
- computational logic
- computational natural language interpretation
- logic and semantics
- natural language processing
- natural language semantics
- stochastic methods for language interpretation
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Bayesian Natural Language Semantics and Pragmatics
Editors: Henk Zeevat, Hans-Christian Schmitz
Series Title: Language, Cognition, and Mind
DOI: https://doi.org/10.1007/978-3-319-17064-0
Publisher: Springer Cham
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-17063-3Published: 27 June 2015
Softcover ISBN: 978-3-319-38625-6Published: 17 October 2016
eBook ISBN: 978-3-319-17064-0Published: 19 June 2015
Series ISSN: 2364-4109
Series E-ISSN: 2364-4117
Edition Number: 1
Number of Pages: XI, 246
Number of Illustrations: 29 b/w illustrations
Topics: Semantics, Computational Linguistics, Natural Language Processing (NLP), Computer Appl. in Arts and Humanities