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.
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Quattrini Li, A., Sbattella, L., Tedesco, R. (2013). PoliSpell: An Adaptive Spellchecker and Predictor for People with Dyslexia. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds) User Modeling, Adaptation, and Personalization. UMAP 2013. Lecture Notes in Computer Science, vol 7899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38844-6_27
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DOI: https://doi.org/10.1007/978-3-642-38844-6_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38843-9
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