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ERIC Number: EJ1151995
Record Type: Journal
Publication Date: 2017
Pages: 20
Abstractor: As Provided
ISSN: ISSN-0163-853X
Predicting Text Comprehension, Processing, and Familiarity in Adult Readers: New Approaches to Readability Formulas
Crossley, Scott A.; Skalicky, Stephen; Dascalu, Mihai; McNamara, Danielle S.; Kyle, Kristopher
Discourse Processes: A multidisciplinary journal, v54 n5-6 p340-359 2017
Research has identified a number of linguistic features that influence the reading comprehension of young readers; yet, less is known about whether and how these findings extend to adult readers. This study examines text comprehension, processing, and familiarity judgment provided by adult readers using a number of different approaches (i.e., natural language processing, crowd-sourced ratings, and machine learning). The primary focus is on the identification of the linguistic features that predict adult text readability judgments, and how these features perform when compared to traditional text readability formulas such as the Flesch-Kincaid grade level formula. The results indicate the traditional readability formulas are less predictive than models of text comprehension, processing, and familiarity derived from advanced natural language processing tools.
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Flesch Reading Ease Formula; Dale Chall Readability Formula; Flesch Kincaid Grade Level Formula
Grant or Contract Numbers: N/A