Objective Plain language in medicine has long been advocated as a way to improve patient
understanding and engagement. As the field of Natural Language Processing has …

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 …

Training learnable metrics using modern language models has recently emerged as a
promising method for the automatic evaluation of machine translation. However, existing …

In order to simplify sentences, several rewriting operations can be performed, such as
replacing complex words per simpler synonyms, deleting unnecessary information, and …

BLEU is widely considered to be an informative metric for text-to-text generation, including
Text Simplification (TS). TS includes both lexical and structural aspects. In this paper we …

Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read
and understand. In order to do so, several rewriting transformations can be performed such …

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 …

We introduce EASSE, a Python package aiming to facilitate and standardise automatic
evaluation and comparison of Sentence Simplification (SS) systems. EASSE provides a …

In order to simplify a sentence, human editors perform multiple rewriting transformations:
they split it into several shorter sentences, paraphrase words (ie replacing complex words or …

Text Simplification improves the readability of sentences through several rewriting
transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification …