Improving Perceived and Actual Text Difficulty for Health Information ...
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Improving Perceived and Actual Text Difficulty for Health Information ...
term familiarity of the alternative. The POS of the original text is labeled using the General Architecture for Text. Engineering (GATE)9 and its implementation of ...
Improving Perceived and Actual Text Difficulty for Health Information Consumers using Semi-Automated Methods Gondy Leroy, PhD1, James E. Endicott1, Obay Mouradi1, David Kauchak, PhD2, Melissa L. Just, EdD3, 1 Claremont Graduate University, Claremont, CA; 2Middlebury College, Middlebury, VT; 3 Rutgers University Libraries, New Brunswick, NJ Abstract We are developing algorithms for semi-automated simplification of medical text. Based on lexical and grammatical corpus analysis, we identified a new metric, term familiarity, to help estimate text difficulty. We developed an algorithm that uses term familiarity to identify difficult text and select easier alternatives from lexical resources such as WordNet, UMLS and Wiktionary. Twelve sentences were simplified to measure perceived difficulty using a 5-point Likert scale. Two documents were simplified to measure actual difficulty by posing questions with and without the text present (information understanding and retention). We conducted a user study by inviting participants (N=84) via Amazon Mechanical Turk. There was a significant effect of simplification on perceived difficulty (p
