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Direct linkMcNamara, Danielle S.; Graesser, Arthur C.; McCarthy, Philip M.; Cai, Zhiqiang – Cambridge University Press, 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. Section I of the book focuses on the theoretical perspectives that led to…
Descriptors: Writing Evaluation, Computational Linguistics, Connected Discourse, Data Analysis
Peer reviewedLi, Haiying; Graesser, Arthur C.; Conley, Mark; Cai, Zhiqiang; Pavlik, Philip I., Jr.; Pennebaker, James W. – Discourse Processes: A multidisciplinary journal, 2016
Formality has long been of interest in the study of discourse, with periodic discussions of the best measure of formality and the relationship between formality and text categories. In this research, we explored what features predict formality as humans perceive the construct. We categorized a corpus consisting of 1,158 discourse samples published…
Descriptors: Discourse Analysis, Computational Linguistics, Comparative Analysis, Speeches
Download full textGraesser, Arthur C.; McNamara, Danielle S.; Cai, Zhiqiang; Conley, Mark; Li, Haiying; Pennebaker, James – Grantee Submission, 2014
Coh-Metrix analyzes texts on multiple measures of language and discourse that are aligned with multilevel theoretical frameworks of comprehension. Dozens of measures funnel into five major factors that systematically vary as a function of types of texts (e.g., narrative vs. informational) and grade level: narrativity, syntactic simplicity, word…
Descriptors: Statistical Analysis, Guidelines, Syntax, Reading Comprehension
