Overview
Interpreting Motion presents an integrated perspective on how language structures constrain concepts of motion and how the world shapes the way motion is linguistically expressed. Natural language allows for efficient communication of elaborate descriptions of movement without requiring a precise specification of the motion. Interpreting Motion is the first book to analyze the semantics of motion expressions in terms of the formalisms of qualitative spatial reasoning. It shows how motion descriptions in language are mapped to trajectories of moving entities based on qualitative spatio-temporal relationships. The authors provide an extensive discussion of prior research on spatial prepositions and motion verbs, devoting chapters to the compositional semantics of motion sentences, the formal representations needed for computers to reason qualitatively about time, space, and motion, and the methodology for annotating corpora with linguistic information in order to train computer programs to reproduce the annotation. The applications they illustrate include route navigation, the mapping of travel narratives, question-answering, image and video tagging, and graphical rendering of scenes from textual descriptions.The book is written accessibly for a broad scientific audience of linguists, cognitive scientists, computer scientists, and those working in fields such as artificial intelligence and geographic information systems.
Full Product Details
Author: Inderjeet Mani ,
James Pustejovsky (TJX/Feldberg Chair in Computer Science, Brandeis University)
Publisher: Oxford University Press
Imprint: Oxford University Press
Volume: 5
Dimensions:
Width: 16.30cm
, Height: 1.70cm
, Length: 24.00cm
Weight: 0.428kg
ISBN: 9780199601240
ISBN 10: 0199601240
Pages: 182
Publication Date: 16 February 2012
Audience:
Professional and scholarly
,
College/higher education
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: To order
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.
Reviews
a high-quality volume that deserves the attention of any computational linguist or cognitive scientist with an interest in qualitative spatial reasoning models, computer reasoning about motion and corpus annotation. * Giovanna Marotta, Language Resources and Evaluation *
<br> The monograph succeeds in carefully laying out essential issues in both fields of interest and in providing an excellent overview of current developments and trends...the monograph is a good source for computational linguists and others interested in text-to-sketch mappings of spatial and motion events and provides some well-grounded discussions of relevant and detailed problems and solutions. --Linguist List<p><br>
a high-quality volume that deserves the attention of any computational linguist or cognitive scientist with an interest in qualitative spatial reasoning models, computer reasoning about motion and corpus annotation. Giovanna Marotta, Language Resources and Evaluation
The monograph succeeds in carefully laying out essential issues in both fields of interest and in providing an excellent overview of current developments and trends...the monograph is a good source for computational linguists and others interested in text-to-sketch mappings of spatial and motion events and provides some well-grounded discussions of relevant and detailed problems and solutions. --Linguist List
Author Information
Inderjeet Mani has been a Senior Principal Scientist at The MITRE Corporation, a Visiting Fellow at Cambridge University, and an Associate Professor at Georgetown University. He is the author of Automatic Summarization (John Benjamins 2001), The Imagined Moment: Time, Narrative, and Computation (Nebraska 2010), and Narrative Modeling (Morgan and Claypool forthcoming), and co-editor of Advances in Automatic Text Summarization (MIT 1999) and The Language of Time (OUP 2005). James Pustejovsky is the TJX/Feldberg Chair in Computer Science at Brandeis University. His topics of research are natural language processing, lexical semantics, temporal reasoning, event semantics, and language annotation. His books include The Generative Lexicon (MIT 1995); with Bran Boguraev, Lexical Semantics: The Problem of Polysemy (OUP 1997); with Carol Tenny, Events as Grammatical Objects (CSLI 2001); with Amber Stubbs, Natural Language Annotation for Machine Learning (O'Reilly 2012); with Elizabetta Jezek Generative Lexicon Theory: A Guide (OUP forthcoming); and Coercion and Compositionality (MIT Press forthcoming).
