We release a new benchmark for Automated Readability Assessment (ARA) of texts in
Spanish. We combined existing corpora with suitable texts collected from the Web, thus …

Most natural language models and tools are restricted to one language, typically English.
For researchers in the behavioral sciences investigating languages other than English, and …

It has been shown that multilingual transformer models are able to predict human reading
behavior when fine-tuned on small amounts of eye tracking data. As the cumulated …

Unsupervised readability assessment aims to evaluate the reading difficulty of text without
any manually-labeled data for model training. This is a challenging task because the …

Easy-to-Read (E2R) is a controlled language variant that makes any written text more
accessible through the use of clear, direct and simple language. It makes content accessible …

Abstract Easy-to-Read (E2R) is a method of enhancing the accessibility of written text by
using clear, direct, and simple language. E2R texts are designed to improve readability and …

Automatic Text simplification (ATS) seeks to reduce the complexity of a text for a general
public or a target audience. In the last years, deep learning methods have become the most …

The process of adapting and creating Easy-to-Read (E2R) texts is very expensive and time-
consuming. Due to the success of Large Language Models (LLMs) such as ChatGPT and …

Easy-to-Read Language (E2R) is a controlled language variant that makes any written text
more accessible through the use of clear, direct and simple language. It is mainly aimed at …

The automatic identification of sexism and the categorization of the message in different
types of sexism in social networks is the focus of the systems taking part in the EXIST …