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Automated Evaluation of Text and Discourse with Coh-Metrix
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Table of Contents

Part I. Coh-Metrix: Theoretical, Technological, and Empirical Foundations: 1. What is text and why analyze it?; 2. The importance of text cohesion; 3. The science and technology that led to Coh-Metrix; 4. Coh-Metrix measures; 5. Coh-Metrix measures of text readability and easability; 6. Using Coh-Metrix measures: studies of cohesion in text and writing; Part II. A Beginner's Guide to Writing Coh-Metrix Research: 7. The strategy: moves, frozen expressions, and the elevator pitch; 8. The introduction; 9. The corpus; 10. The tool; 11. The results; 12. The discussion; Concluding remarks.

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This book describes Coh-Metrix, a powerful computational tool that provides a wide range of language and discourse measures.

About the Author

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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