Automated Evaluation of Text and Discourse with Coh-Metrix

McNamara, Danielle S.,Graesser, Arthur C.,McCarthy, Philip M.,Cai, Zhiqiang

ISBN 10: 0521192927 ISBN 13: 9780521192927

Published by Cambridge University Press, 2014

Language: English

Condition: Used - Very good Hardcover

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Bibliographic Details

Title

Automated Evaluation of Text and Discourse with Coh-Metrix

Publisher

Cambridge University Press

Publication Date

2014

Language

English

ISBN 10

0521192927

ISBN 13

9780521192927

Binding

hardcover

Condition

Very Good

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About this title

Synopsis

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Section II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.

About the Authors

Danielle S. McNamara is a professor in the Psychology Department and Senior Scientist in the Learning Sciences Institute at Arizona State University.

Arthur C. Graesser is a professor in the Department of Psychology and the Institute for Intelligent Systems at the University of Memphis and is a Senior Research Fellow in the Department of Education at the University of Oxford.

Philip McCarthy is an Assistant Professor at the University of Memphis and a member of the Institute for Intelligent Systems.

Zhiqiang Cai is a research assistant professor in the Institute for Intelligent Systems at the University of Memphis.

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