Automatic segmentation of texts into units of meaning for reading assistance
Abstract
The emergence of the digital book is a major step forward in providing access to reading, and therefore often to the common culture and the labour market. By allowing the enrichment of texts with cognitive crutches, EPub 3 compatible accessibility formats such as FROG have proven their effectiveness in alleviating but also reducing dyslexic disorders. In this paper, we show how Artificial Intelligence and particularly Transfer Learning with Google BERT can automate the division into units of meaning, and thus facilitate the creation of enriched digital books at a moderate cost.
Keywords
Cite
@article{arxiv.1910.05014,
title = {Automatic segmentation of texts into units of meaning for reading assistance},
author = {Jean-Claude Houbart and Solen Quiniou and Marion Berthaut and Béatrice Daille and Claire Salomé},
journal= {arXiv preprint arXiv:1910.05014},
year = {2019}
}
Comments
7 pages, 7 figures. Work Presented at International Joint Conferences on Artificial Intelligence (IJCAI ) workshop on AI and the United Nations Sustainable Development Goals