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 …

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 …

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

Text simplification is an intralingual translation task in which documents, or sentences of a
complex source text are simplified for a target audience. The success of automatic text …

Methods for text simplification using the framework of statistical machine translation have
been extensively studied in recent years. However, building the monolingual parallel corpus …

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 …

The availability of parallel sentence simplification (SS) is scarce for neural SS modelings.
We propose an unsupervised method to build SS corpora from large-scale bilingual …

Progress in Sentence Simplification has been hindered by the lack of supervised data,
particularly in languages other than English. Previous work has aligned sentences from …

Abstract Automatic Readability Assessment aims at assigning a complexity level to a given
text, which could help improve the accessibility to information in specific domains, such as …