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

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

This study examined how linguistic complexity features contribute to second language (L2)
processing effort by analyzing the Dutch English-L2 learners' eye movements from GECO …

Classic readability formulas have been widely used to match English texts to native English
speaking readers, for whom the formulas have been extensively validated. They are also …

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 …

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 …

As interest in textlinguistics increased during the late 1970s and early 1980s, researchers
developed new descriptions of text structure. At the same time, researchers became …

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 …

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 …

Using eye tracking methodology, we investigate correlations between traditional readability
indicators and controlled language (CL) rules applied to texts from the information …