Automatic segmentation of texts into units of meaning for reading assistance
This work addresses the challenge of making reading more accessible for individuals with dyslexia by automating text enrichment, though it appears incremental as it applies an existing AI method to a specific domain.
The paper tackled the problem of automating text segmentation into units of meaning for creating enriched digital books to assist readers, particularly those with dyslexia, by using transfer learning with Google BERT, resulting in a method that facilitates this process at moderate cost.
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.