Proceedings of the Third Arabic Natural Language Processing Workshop 2017
DOI: 10.18653/v1/w17-1309
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A New Error Annotation for Dyslexic texts in Arabic

Abstract: This paper aims to develop a new classification of errors made in Arabic by those suffering from dyslexia to be used in the annotation of the Arabic dyslexia corpus (BDAC). The dyslexic error classification for Arabic texts (DECA) comprises a list of spelling errors extracted from previous studies and a collection of texts written by people with dyslexia that can provide a framework to help analyse specific errors committed by dyslexic writers. The classification comprises 37 types of errors, grouped into nine… Show more

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Cited by 6 publications
(8 citation statements)
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“…Several studies have characterised and classified spelling errors in Arabic [29,30], and some studies have also looked at dyslexic spelling errors in Arabic [9][10][11].…”
Section: Arabic Spelling Correctionmentioning
confidence: 99%
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“…Several studies have characterised and classified spelling errors in Arabic [29,30], and some studies have also looked at dyslexic spelling errors in Arabic [9][10][11].…”
Section: Arabic Spelling Correctionmentioning
confidence: 99%
“…In order to propose an efficient spelling correction for dyslexic Arabic text, it is necessary to study and categorize the error patterns of dyslexia. Such a study was the focus of the authors' previous work [11]. Following this study, creating a prototype of an automatic spelling correction system called Sahah described in this paper was undertaken.…”
Section: The Sahah System For the Automatic Spelling Correction Of Dymentioning
confidence: 99%
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