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

Using a manually collected sample of 331 corporate social responsibility (CSR) reports
issued by US public companies, we examine the relationship between the CSR …

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 …

We report two essential improvements in readability assessment: 1. three novel features in
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …

We combine lexical, syntactic, and discourse features to produce a highly predictive model
of human readers' judgments of text readability. This is the first study to take into account …

This paper addresses the task of readability assessment for the texts aimed at second
language (L2) learners. One of the major challenges in this task is the lack of significantly …

We investigate the problem of readability assessment using a range of lexical and syntactic
features and study their impact on predicting the grade level of texts. As empirical basis, we …

Translators want to take their readers into account, but traditional translation theory does not
offer much advice on how to do that. User-Centered Translation (UCT) offers practical tools …

Automatic text simplification is a research field in computational linguistics that studies
methods and techniques to simplify textual content. Text simplification methods should …

There have been a number of linear, feature-based models proposed by the information
retrieval community recently. Although each model is presented differently, they all share a …