Text simplification (TS) reduces the complexity of the text to improve its readability and
understandability, while possibly retaining its original information content. Over time, TS has …

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

We present a user study for two different automatic strategies that simplify text content for
people with dyslexia. The strategies considered are the standard one (replacing a complex …

Text simplification modifies syntax and lexicon to improve the understandability of language
for an end user. This survey identifies and classifies simplification research within the period …

We report findings of the TSAR-2022 shared task on multilingual lexical simplification,
organized as part of the Workshop on Text Simplification, Accessibility, and Readability …

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

Since the late 1990s, automatic text simplification (ATS) was promoted as a natural
language processing (NLP) task with great potential to make texts more accessible to …

Lexical simplification (LS) aims at replacing complex words with simpler alternatives. LS
commonly consists of three main steps: complex word identification, substitute generation …

Lexical Simplification is the task of replacing complex words with simpler alternatives. We
propose a novel, unsupervised approach for the task. It relies on two resources: a corpus of …

Even in highly-developed countries, as many as 15–30% of the population can only
understand texts written using a basic vocabulary. Their understanding of everyday texts is …