Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
Automatic spelling correction in scientific and scholarly text
Communications of the ACM
A technique for computer detection and correction of spelling errors
Communications of the ACM
Design guidelines for developing curriculum-focused ICT materials for diverse students
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs: Part I
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Dyslexic writers make more spelling errors than non-dyslexic writers do. There is some disagreement as to whether they display distinct characteristics in their spelling errors or whether they make errors typical of a younger age group while trying to use vocabulary that is of a level similar to that of others their own age. We hypothesise that the spell checking needs of dyslexic writers differ from those of non-dyslexic writers and that those needs are not adequately met by existing spell checkers. We also hypothesise that spell checkers may be adapted to better meet these needs and that such adaptation would increase the ability of the spell checkers to both detect and correct the spelling errors of dyslexic writers. In this paper, we examine two spell checking methods, one, which can adapt to the writing style of the user and the other, which uses phonetic information to predict the intended word.