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Text Simplification to Help Individuals With Low Vision Read More Fluently

Authors :
Sauvan, Lauren
Stolowy, Natacha
Aguilar, Carlos
François, Thomas
Gala, Núria
Matonti, Frédéric
Castet, Eric
Calabrese, Aurelie
Hôpital Nord [CHU - APHM]
Amaris Research Unit [Biot]
Université Catholique de Louvain (UCL)
Laboratoire Parole et Langage (LPL)
Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Centre Paradis Monticelli [Marseille]
Laboratoire de psychologie cognitive (LPC)
Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)
Biologically plausible Integrative mOdels of the Visual system : towards synergIstic Solutions for visually-Impaired people and artificial visiON (BIOVISION)
Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
ANR-16-CONV-0002,ILCB,ILCB: Institute of Language Communication and the Brain(2016)
Source :
LREC 2020-Language Resources and Evaluation Conference, LREC 2020-Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.11-16
Publication Year :
2020
Publisher :
HAL CCSD, 2020.

Abstract

International audience; The objective of this work is to introduce text simplification as a potential reading aid to help improve the poor reading performance experienced by visually impaired individuals. As a first step, we explore what makes a text especially complex when read with low vision, by assessing the individual effect of three word properties (frequency, orthographic similarity and length) on reading speed in the presence of Central visual Field Loss (CFL). Individuals with bilateral CFL induced by macular diseases read pairs of French sentences displayed with the self-paced reading method. For each sentence pair, sentence n contained a target word matched with a synonym word of the same length included in sentence n+1. Reading time was recorded for each target word. Given the corpus we used, our results show that (1) word frequency has a significant effect on reading time (the more frequent the faster the reading speed) with larger amplitude (in the range of seconds) compared to normal vision; (2) word neighborhood size has a significant effect on reading time (the more neighbors the slower the reading speed), this effect being rather small in amplitude, but interestingly reversed compared to normal vision; (3) word length has no significant effect on reading time. Supporting the development of new and more effective assistive technology to help low vision is an important and timely issue, with massive potential implications for social and rehabilitation practices. The end goal of this project will be to use our findings to custom text simplification to this specific population and use it as an optimal and efficient reading aid.

Details

Language :
English
Database :
OpenAIRE
Journal :
LREC 2020-Language Resources and Evaluation Conference, LREC 2020-Language Resources and Evaluation Conference, May 2020, Marseille, France. pp.11-16
Accession number :
edsair.dedup.wf.001..7afca85c1f2a505a36cb14bb32ae4065