The occurrence of unknown words in texts significantly hinders reading comprehension. To
improve accessibility for specific target populations, computational modeling has been …

This paper describes team GMU-WLV submission to the TSAR shared-task on multilingual
lexical simplification. The goal of the task is to automatically provide a set of candidate …

Identifying words which may cause difficulty for a reader is an essential step in most lexical
text simplification systems prior to lexical substitution and can also be used for assessing the …

Complex Word Identification (CWI) is a task centered on detecting hard-to-understand
words, or groups of words, in texts from different areas of expertise. The purpose of CWI is to …

Text simplification is a method for improving the accessibility of text by converting complex
sentences into simple sentences. Multiple studies have been done to create datasets for text …

Text readability assessment aims to automatically evaluate the degree of reading difficulty of
a given text for a specific group of readers. Most of the previous studies considered it as a …

Reading is a complex process which requires proper understanding of texts in order to
create coherent mental representations. However, comprehension problems may arise due …

Reading is a complex process not only because of the words or sections that are difficult for
the reader to understand. Complex word identification (CWI) is the task of detecting in the …

Medical text simplification is crucial for making complex biomedical literature more
accessible to non-experts. Traditional methods struggle with the specialized terms and …

We present an evaluation of text simplification (TS) in Spanish for a production system, by
means of two corpora focused in both complex-sentence and complex-word identification …