Word Familiarity Classification From a Single Trial Based on Eye-Movements. A Study in German and English
Abstract: Identifying processing difficulty during reading due to unfamiliar words has promising applications in automatic text adaptation. We present a classification model that predicts whether a word is (un)known to the reader based on eye-movement measures. We examine German and English data and validate our model on unseen subjects and items achieving a high accuracy in both languages.
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