The readability assessment deals with estimating the level of difficulty in reading texts.Many readability tests, which do not indicate execution efficiency, have been applied on specific texts to measure the reading grade level in science textbooks. In this paper, we analyze the content covered in elementary school Turkish textbooks by employing a distributed parallel processing framework base...

We describe a readability assessment approach to support the process of text simplification for poor literacy readers. Given an input text, the goal is to predict its readability level, which corresponds to the literacy level that is expected from the target reader: rudimentary, basic or advanced. We complement features traditionally used for readability assessment with a number of new features...

Automatic assessment of the readability level (i.e., the relative linguistic complexity) of documents in a large number of languages is an important problem that can be applied to many real-world applications, such as retrieving age-appropriate search engine results for kids, constructing automatic tutoring systems, and so on. Unfortunately, existing readability labeling techniques have only be...

Inspired by previous work on crowdsourcing we investigate two different methodologies to assess the readability of a wide variety of text material by implementing two assessment tools. A lightweight crowdsourcing tool which invites users to provide pairwise comparisons and a more advanced version where experts can rank a batch of texts based on readability. In order to validate this approach, r...

Readability assessment can play a role in the evaluation of a simplification algorithm as well as in the identification of what to simplify. While some previous research used traditional readability formulas to evaluate text simplification, there is little research into the utility of readability assessment for identifying and analyzing sentence level targets for text simplification. We explore...

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 sized level-annotated data. For the present work, we collected a dataset of CEFR-graded texts tailored for learners of English as an L2 and investigated text readability assessment for both native and L2 learners. We ...

We investigate linguistic features that correlate with the readability of texts for adults with intellectual disabilities (ID). Based on a corpus of texts (including some experimentally measured for comprehension by adults with ID), we analyze the significance of novel discourselevel features related to the cognitive factors underlying our users’ literacy challenges. We develop and evaluate a t...

In this paper we investigate how readability varies between texts originally written in English and texts translated into English. For quantification, we analyze several factors that are relevant in assessing readability – shallow, lexical and morpho-syntactic features – and we employ the widely used Flesch-Kincaid formula to measure the variation of the readability level between original Engli...

OBJECTIVE Americans are increasingly turning to the Internet as a source of health care information. These online resources should be written at a level readily understood by the average American. This study evaluates the readability of online patient education information available from the American Academy of Otolaryngology--Head and Neck Surgery Foundation (AAO-HNSF) professional Web site us...

OBJECTIVE The purpose of this study was to examine the readability of several published patient-reported outcome (PRO) questionnaires for use with persons who stutter, and to compare the readability results to existing data about average reading levels for English-speaking adults living in the United States. DESIGN Published PRO questionnaires were identified that are traditionally completed ...