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 …

We report two essential improvements in readability assessment: 1. three novel features in
advanced semantics and 2. the timely evidence that traditional ML models (eg Random …

This paper describes the collection and compilation of the OneStopEnglish corpus of texts
written at three reading levels, and demonstrates its usefulness for through two applications …

Automatic readability assessment (ARA) is the task of evaluating the level of ease or
difficulty of text documents for a target audience. For researchers, one of the many open …

Availability of corpora with technical and simplified contents is crucial for the development
and test of methods for text simplification. We describe this kind of corpus for the French …

The proliferation of fake news is a current issue that influences a number of important areas
of society, such as politics, economy and health. In the Natural Language Processing area …

This work introduces an automatic classification system for measuring the complexity level of
a given Italian text under a linguistic point-of-view. The task of measuring the complexity of a …

Given a pair of sentences, we present computational models to assess if one sentence is
simpler to read than the other. While existing models explored the usage of phrase structure …

Text readability is very important in meeting people's information needs. With the explosive
growth of modern information, the measurement demand of text readability is increasing. In …

Eye-tracking reading times have been attested to reflect cognitive processes underlying
sentence comprehension. However, the use of reading times in NLP applications is an …