Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and navigation systems. This book is the first for linguists and computer scientists that shows how to do model-theoretic semantics for temporal or spatial information in natural language, based on annotation structures. The book covers the entire cycle of developing a specification for annotation and the implementation of the model over the appropriate corpus for linguistic annotation. Its representation language is a type-theoretic, first-order logic in shallow semantics. Each interpretation model is delimited by a set of definitions of logical predicates used in semantic representations (e.g., past) or measuring expressions (e.g., counts or k). The counting function is then defined as a set and its cardinality, involving a universal quantification in a model. This definition then delineates a set of admissible models for interpretation.
| ISBN: | 9781108839594 |
| Publication date: | 29th June 2023 |
| Author: | Kiyong Lee |
| Publisher: | Cambridge University Press |
| Format: | Hardback |
| Pagination: | 413 pages |
| Series: | Studies in Natural Language Processing |
| Genres: |
Semantics, discourse analysis, stylistics Natural language and machine translation Spatial computing Computational and corpus linguistics |
Space and time representation in language is important in linguistics and cognitive science research, as well as artificial intelligence applications like conversational robots and navigation systems. This book is the first for linguists and computer scientists that shows how to do model-theoretic semantics for temporal or spatial information in natural language, based on annotation structures. The book covers the entire cycle of developing a specification for annotation and the implementation of the model over the appropriate corpus for linguistic annotation. Its representation language is a type-theoretic, first-order logic in shallow semantics. Each interpretation model is delimited by a set of definitions of logical predicates used in semantic representations (e.g., past) or measuring expressions (e.g., counts or k). The counting function is then defined as a set and its cardinality, involving a universal quantification in a model. This definition then delineates a set of admissible models for interpretation.
Annotation-Based Semantics for Space and Time in Language features in the following genres: Semantics, discourse analysis, stylistics, Natural language and machine translation, Spatial computing, Computational and corpus linguistics
Annotation-Based Semantics for Space and Time in Language is available in Hardback
Annotation-Based Semantics for Space and Time in Language was written by Kiyong Lee and published by Cambridge University Press
Annotation-Based Semantics for Space and Time in Language has 413 pages
Yes it is part of Studies in Natural Language Processing series
£123.30