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Scientific article
Open access
English

Evaluation of a Word Prediction System in an Augmentative and Alternative Communication for Disabled People

ContributorsNorré, Magali
Published inModelling, Measurement and Control C, vol. 81, no. 1-4, p. 49-54
Publication date2020-12-31
First online date2020-12-31
Abstract

This article investigates the evaluation of a word prediction system in an Augmentative and Alternative Communication (AAC) software for disabled people. In addition to having a reduced mobility, these users have an altered use of speech that must be compensated by a technological aid offering input methods adapted to their capabilities. To improve their communication speed, different prediction and language modeling techniques are used. We present the parameterization of statistical predictors. Their configuration in French is evaluated by a simulator and tested by a disabled person. The results show that a language model built from a large literary corpus saves more than one keystroke out of two, the performance of these systems varying according to several parameters.

eng
Keywords
  • Word prediction
  • Language modeling
  • Augmentative and alternative communication
  • AAC
  • Usability
  • Disability
Affiliation Not a UNIGE publication
Citation (ISO format)
NORRÉ, Magali. Evaluation of a Word Prediction System in an Augmentative and Alternative Communication for Disabled People. In: Modelling, Measurement and Control C, 2020, vol. 81, n° 1-4, p. 49–54. doi: 10.18280/mmc_c.811-409
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Article (Published version)
accessLevelPublic
Identifiers
ISSN of the journal1259-5977
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