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 …

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 …

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 …

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

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 …

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 …

Reading comprehension and fluency are crucial for successful academic learning and
achievement. Yet, a rather large percentage of children still have enormous difficulties in …

The purpose of automatic text simplification is to adapt the content of documents in order to
make them easier to understand by a given population or to improve the performance of …

As data-driven systems are increasingly deployed at scale, ethical concerns have arisen
around unfair and discriminatory outcomes for historically marginalized groups that are …

Thanks to technologies such as the Internet and devices now available to people, we have
increasingly greater access to larger quantities of information. However, people with ageing …