Automatic Correction of Arabic Dyslexic Text

This paper proposes an automatic correction system that detects and corrects dyslexic errors in Arabic text. The system uses a language model based on the Prediction by Partial Matching (PPM) text compression scheme that generates possible alternatives for each misspelled word. Furthermore, the gene...

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Bibliographic Details
Published inComputers (Basel) Vol. 8; no. 1; p. 19
Main Authors Alamri, Maha, Teahan, William
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 21.02.2019
Subjects
Arabic
corpus
Dyslexia
Error correction & detection
errors
Probability
Software
Spelling
Word processing
Writers
Writing
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Summary:This paper proposes an automatic correction system that detects and corrects dyslexic errors in Arabic text. The system uses a language model based on the Prediction by Partial Matching (PPM) text compression scheme that generates possible alternatives for each misspelled word. Furthermore, the generated candidate list is based on edit operations (insertion, deletion, substitution and transposition), and the correct alternative for each misspelled word is chosen on the basis of the compression codelength of the trigram. The system is compared with widely-used Arabic word processing software and the Farasa tool. The system provided good results compared with the other tools, with a recall of 43%, precision 89%, F1 58% and accuracy 81%.
ISSN:2073-431X
2073-431X
DOI:10.3390/computers8010019