IRAZ: Easy-to-Read Content Generation via Automated Text Simplification
Authors:
Date: 27.09.2023
Abstract
Information complexity is a critical communication and integration barrier for large segments of the population. This situation is exacerbated by the ever increasing volumes of content generated in modern digital societies. The IRAZ project aims to develop a flexible solution for easy-to-read text generation, by means of automated text simplification, to support the production of accessible content. The project sets to produce new datasets in the field, created by professionals or via synthetic data generation. It also explores neural approaches to lexical, syntactic and end-to-end text simplification, offering configurable simplification hypotheses that can be post-edited by professional easy-to-read content creators. The project aims to develop a generic solution, with special emphasis on Basque and Spanish to provide further technological support for these two relatively under-resourced languages in the field.
BIB_text
title = {IRAZ: Easy-to-Read Content Generation via Automated Text Simplification},
pages = {60-65},
keywds = {
Accessibility; Easy-to-read; Text Simplification
}
abstract = {
Information complexity is a critical communication and integration barrier for large segments of the population. This situation is exacerbated by the ever increasing volumes of content generated in modern digital societies. The IRAZ project aims to develop a flexible solution for easy-to-read text generation, by means of automated text simplification, to support the production of accessible content. The project sets to produce new datasets in the field, created by professionals or via synthetic data generation. It also explores neural approaches to lexical, syntactic and end-to-end text simplification, offering configurable simplification hypotheses that can be post-edited by professional easy-to-read content creators. The project aims to develop a generic solution, with special emphasis on Basque and Spanish to provide further technological support for these two relatively under-resourced languages in the field.
}
date = {2023-09-27},
}