Automatic Correction of Arabic Dyslexic Text
Research output: Contribution to journal › Article › peer-review
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Documents
- 2019 computers-08-00019-v2
Final published version, 436 KB, PDF document
Licence: CC BY Show licence
DOI
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%.
Keywords
- dyslexia, natural language processing, automatic spelling correction for Arabic
| Original language | English |
|---|---|
| Article number | 19 |
| Journal | Computers |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 21 Feb 2019 |
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