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 …

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 …

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 …

We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task.
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …

Lexical Simplification (LS) is the task of substituting complex words within a sentence for
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …

Lexical Simplification (LS) automatically replaces difficult to read words for easier
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …

Lexical simplification (LS) is the task of automatically replacing complex words for easier
ones making texts more accessible to various target populations (eg individuals with low …

Lexical Simplification (LS) automatically replaces difficult to read words for easier
alternatives while preserving a sentence's original meaning. Several datasets exist for LS …

Lexical simplification is the task of substituting a difficult word with a simpler equivalent for a
target audience. This is currently commonly done by modeling lexical complexity on a …

This article presents RastrOS, a new eye-tracking corpus of eye movement data from
university students during silent reading of paragraphs of texts in Brazilian Portuguese (BP) …