This paper presents an approach based on supervised machine learning methods to build a
classifier that can identify text complexity in order to present Arabic language learners with …

We discuss the design, development and evaluation of an automated lexical simplification
tool for Dutch. A basic pipeline approach is used to perform both text adaptation and …

This paper presents MedSimples, an authoring tool that combines Natural Language
Processing, Corpus Linguistics and Terminology to help writers to convert health-related …

Abstract BERT (Devlin et al., 2019) and RoBERTa (Liu et al., 2019) have set new state-of-the-
art performance on paraphrase quality measurement. However, their main focus is on …

Word complexity is defined in a number of different ways. Psycholinguistic, morphological
and lexical proxies are often used. Human ratings are also used. The problem here is that …

Text simplification aims to reduce complexity in vocabulary and syntax, enhancing the
readability and comprehension of text. This paper presents a supervised sentence …

We present a work aiming to generate adapted content for dyslexic children for French, in
the context of the ALECTOR project. Thus, we developed a system to transform the texts at …

Embora estudos sobre como medir a leiturabilidade de um texto remontem ao século
passado, ainda não há um consenso sobre quais seriam as melhores métricas …

We present a novel method that automatically measures quality of sentential paraphrasing.
Our method balances two conflicting criteria: semantic similarity and lexical diversity. Using …

Sažetak Vocabulary grading is of great importance in Chinese vocabulary teaching. This
paper starts with an analysis of the lexical attributes that affect lexical complexity, followed by …