Background Advances in natural language processing (NLP) and computational linguistics
have facilitated major improvements on traditional readability formulas that aim at predicting …

Although text readability has traditionally been measured based on simple linguistic
features, recent studies have employed natural language processing techniques to develop …

Research has identified a number of linguistic features that influence the reading
comprehension of young readers; yet, less is known about whether and how these findings …

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 …

Readability formulas are methods used to match texts with the readers' reading level.
Several methodological paradigms have previously been investigated in the field. The most …

Readability research has a long and rich tradition, but there has been too little focus on
general readability prediction without targeting a specific audience or text genre. Moreover …

Texts are routinely simplified for language learners with authors relying on a variety of
approaches and materials to assist them in making the texts more comprehensible …

Largely due to technological advances, methods for analyzing readability have increased
significantly in recent years. While past researchers designed hundreds of formulas to …

Many programs designed to compute the readability of texts are narrowly based on surface‐
level linguistic features and take too little account of the processes which a reader brings to …

Readability assessment aims to automatically classify text by the level appropriate for
learning readers. Traditional approaches to this task utilize a variety of linguistically …