Bayesian Natural Language Semantics and Pragmatics
Language: English
Published by Springer, Springer Jun 2015, 2015
- Hardcover
- New
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This item is printed on demand - Print on Demand Titel. Neuware -The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation. Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice¿s contributions to pragmatics or in interpretation by abduction.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.…
Seller Inventory # 9783319170633
- Title
- Bayesian Natural Language Semantics and Pragmatics
- Author
- Henk Zeevat
- Publisher
- Springer, Springer Jun 2015
- Publication year
- 2015
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3319170635
- ISBN 13
- 9783319170633
- Item weight
- 559 grams
- Dimensions
- 241x160x20 mm
- Series
- Book 1 of 11: Language, Cognition, and Mind
"Synopsis" may belong to another edition of this title.
From the Back Cover
The contributions in this volume focus on the Bayesian interpretation of natural languages, which is widely used in areas of artificial intelligence, cognitive science, and computational linguistics. This is the first volume to take up topics in Bayesian Natural Language Interpretation and make proposals based on information theory, probability theory, and related fields. The methodologies offered here extend to the target semantic and pragmatic analyses of computational natural language interpretation.
Bayesian approaches to natural language semantics and pragmatics are based on methods from signal processing and the causal Bayesian models pioneered by especially Pearl. In signal processing, the Bayesian method finds the most probable interpretation by finding the one that maximizes the product of the prior probability and the likelihood of the interpretation. It thus stresses the importance of a production model for interpretation as in Grice’s contributions to pragmatics or in interpretation by abduction.
"About the title" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
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