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 …

Our contemporary society demands highly qualified professionals in all sectors, and
education serves as the keystone for achieving this goal. While educational institutions are …

Sentence Simplification aims to rephrase complex sentences into simpler sentences while
retaining original meaning. Large Language models (LLMs) have demonstrated the ability to …

Progress in sentence simplification has been hindered by a lack of labeled parallel
simplification data, particularly in languages other than English. We introduce MUSS, a …

This paper presents the results and main findings of SemEval-2021 Task 1-Lexical
Complexity Prediction. We provided participants with an augmented version of the CompLex …

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 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 …

Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …

Lexical Simplification is the process of replacing complex words in a given sentence with
simpler alternatives of equivalent meaning. This task has wide applicability both as an …

Around 10% of the people have dyslexia, a neurological disability that impairs a person's
ability to read and write. There is evidence that the presentation of the text has a significant …