Assessing text readability is a time-honored problem that has even more relevance in today’s information-rich world. This article provides background on how readability of texts is assessed automatically, reviews the current state-of-the-art algorithms in automatic modeling and predicting the reading difficulty of texts, and proposes new challenges and opportunities for future exploration not well-covered by current computational research.
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Kevyn Collins‐Thompson (2014) studied this question.