Automatic readability assessment aims to ensure that readers read texts that they can
comprehend. However, computational models are typically trained on texts created from the …

Computational approaches to readability assessment are generally built and evaluated
using gold standard corpora labeled by publishers or teachers rather than being grounded …

Text readability assessment is a well-known problem that has acquired even more
importance in today's information-rich world. In this article, we survey various approaches to …

Automatic readability assessment (ARA) predicts how difficult it is for the reader to
understand a text. While ARA has traditionally been performed at the passage level, there …

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 …

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 research and the entailing derivation of theoretically valid and high-performing
readability assessment models are important components of reading education. There have …

Readability assessment is the task of evaluating the reading difficulty of a given piece of text.
Although research on computational approaches to readability assessment is now two …

While there has been much work on computational models to predict readability based on
the lexical, syntactic and discourse properties of a text, there are also interesting open …

This paper investigates two strategies for collecting readability assessments, an Expert
Readers application intended to collect fine-grained readability assessments from language …