Computational assessment of text readability
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.
Keywords: computational linguistics; machine learning; readability; reading difficulty; text complexity
Document Type: Research Article
Publication date: 01 January 2014
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