Honors in Technology
Date of Award
Thesis Professor Department
Computer and Information Sciences
Jessica Keup, Joseph Sobol
In an effort to make reading more accessible, an automated readability formula can help pair readers with material appropriate for their reading level. This study attempts to discover and analyze a set of possible features that may be included in a future automated readability formula. This set is not a definitive list of readability formula features, but rather an overview of current features being study in the Natural Language Processing field.
Honors Thesis - Open Access
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.
Schneider, Michael, "Analysis of Features Composing an Automated Text Readability Formula." (2013). Undergraduate Honors Theses. Paper 63. https://dc.etsu.edu/honors/63
Copyright by the authors.