The Automated Readability Tool for English (ARTE) is a free, easy-to-use tool that automatically measures text readability. This team plans to adapt the currently available tool into an interactive web application to make it more accessible to teachers, administrators, researchers, and material developers. Working with an industrial partner, they will scale the app, adding new functions such as a more friendly interface, data visualization, support for REST API, and expand the number of readability formulas supported by the app.
Scott A. Crossley
Professor of Applied Linguistics, Georgia State University
Sott’s interests include computational linguistics, corpus linguistics, cognitive science, discourse processing, and discourse analysis. His primary research focuses on the development and application of computational tools for understanding language learning and text comprehensibility.
