Read-X: Automatic Evaluation of Reading Difficulty of Web Text
PROCEEDINGS
Eleni Miltsakaki, Audrey Troutt, University of Pennsylvania, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Quebec City, Canada ISBN 978-1-880094-63-1 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Abstract
We are developing a web-search application to locate and evaluate potential reading material on the internet. Our application, Read-X, performs a keyword search of the internet, analyzes the readability of text from each resulting website and classifies the text according to theme. This tool will be useful to adolescent and adult low-level reading students who face, among other challenges, a troubling lack of reading material for their age, interests and reading level.
Citation
Miltsakaki, E. & Troutt, A. (2007). Read-X: Automatic Evaluation of Reading Difficulty of Web Text. In T. Bastiaens & S. Carliner (Eds.), Proceedings of E-Learn 2007--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 7280-7286). Quebec City, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved March 28, 2024 from https://www.learntechlib.org/primary/p/26932/.
© 2007 Association for the Advancement of Computing in Education (AACE)
Keywords
References
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