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Automated Evaluation of Text and Discourse with Coh-Metrix

Autor Danielle S. McNamara, Arthur C. Graesser, Philip M. McCarthy, Zhiqiang Cai
en Limba Engleză Hardback – 23 mar 2014
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. Part 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. Part 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.
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Specificații

ISBN-13: 9780521192927
ISBN-10: 0521192927
Pagini: 289
Ilustrații: 9 b/w illus. 23 tables
Dimensiuni: 157 x 235 x 23 mm
Greutate: 0.57 kg
Ediția:New.
Editura: Cambridge University Press
Colecția Cambridge University Press
Locul publicării:New York, United States

Cuprins

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.

Notă biografică


Descriere

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