People with dyslexia often face huge writing difficulties. Spellcheckers/predictors can help, but the current systems are not appropriate for them, because of the assumptions behind the models and because of heavy-to-use interfaces. This paper presents a system for spellchecking/predicting words, which can adapt both its model and its interface according to the individual behavior. The model takes into account typical errors made by people with dyslexia, such as boundary errors, and the context for correcting real-word errors. The interface aims at reducing interaction with the user. The model and the interface are easily adaptable to general use.

PoliSpell: an adaptive spellchecker and predictor for people with dyslexia

QUATTRINI LI, ALBERTO;SBATTELLA, LICIA;TEDESCO, ROBERTO
2013-01-01

Abstract

People with dyslexia often face huge writing difficulties. Spellcheckers/predictors can help, but the current systems are not appropriate for them, because of the assumptions behind the models and because of heavy-to-use interfaces. This paper presents a system for spellchecking/predicting words, which can adapt both its model and its interface according to the individual behavior. The model takes into account typical errors made by people with dyslexia, such as boundary errors, and the context for correcting real-word errors. The interface aims at reducing interaction with the user. The model and the interface are easily adaptable to general use.
2013
User Modeling, Adaptation, and Personalization 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings
9783642388439
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/753618
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