Text simplification, defined narrowly, is the process of reducing the linguistic complexity of a
text, while still retaining the original information and meaning. More broadly, text …

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 …

Most recent sentence simplification systems use basic machine translation models to learn
lexical and syntactic paraphrases from a manually simplified parallel corpus. These methods …

Simple Wikipedia has dominated simplification research in the past 5 years. In this opinion
paper, we argue that focusing on Wikipedia limits simplification research. We back up our …

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 …

This work presents Keep it Simple (KiS), a new approach to unsupervised text simplification
which learns to balance a reward across three properties: fluency, salience and simplicity …

The way in which a text is written can be a barrier for many people. Automatic text
simplification is a natural language processing technology that, when mature, could be used …

This article explores the use of text simplification as a pre-processing step for statistical
machine translation of grammatically complex under-resourced languages. Our experiments …

Text simplification (TS) aims to modify sentences to make their both content and structure
easier to understand. Traditional n-gram matching-based TS evaluation metrics heavily rely …

Lexical simplification involves identifying complex words or phrases that need to be
simplified, and recommending simpler meaning-preserving substitutes that can be more …