Representing time in natural language

the dynamic interpretation of tense and aspect

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Last edited by ImportBot
August 17, 2024 | History

Representing time in natural language

the dynamic interpretation of tense and aspect

  • 1 Want to read

The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated.

A new representational system is designed to formalize an appropriately context-dependent notion of situated inference. The Dynamic Aspect Tree, representing temporal dependencies, constitutes a novel and important dynamic temporal logic, one that makes it easy to see "what follows when" from the information given in an ordinary English text.

  1. Ter Meulen makes use of some of the fundamental assumptions of Situation Semantics and incorporates the dynamic methodology embodied in Discourse Representation Theory and in other dynamic logics into her temporal logic. The result is a computational inference system that can be applied across the board to fragments of natural languages.
Publish Date
Publisher
MIT Press
Language
English
Pages
144

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Previews available in: English

Book Details


Edition Notes

Includes bibliographical references (p. [131]-139) and index.
"A Bradford book."

Published in
Cambridge, Mass

Classifications

Dewey Decimal Class
415
Library of Congress
P294.5 .M48 1995, P294.5.M48 1995

The Physical Object

Pagination
xii, 144 p. ;
Number of pages
144

ID Numbers

Open Library
OL1099163M
Internet Archive
representingtime0000meul
ISBN 10
0262200996
LCCN
94023917
OCLC/WorldCat
31518841
Library Thing
790275
Digital Object Identifier (DOI)
10.1604/9780262200998
Goodreads
907554

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August 17, 2024 Edited by ImportBot import existing book
July 17, 2024 Edited by MARC Bot import existing book
July 17, 2020 Edited by ImportBot import existing book
December 3, 2010 Edited by Open Library Bot Added subjects from MARC records.
December 10, 2009 Created by WorkBot add works page