Automatic Correction of Arabic Dyslexic Text

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

Fersiynau electronig

Dogfennau

Dangosydd eitem ddigidol (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%.

Allweddeiriau

Iaith wreiddiolSaesneg
Rhif yr erthygl19
CyfnodolynComputers
Cyfrol8
Rhif y cyfnodolyn1
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 21 Chwef 2019

Cyfanswm lawlrlwytho

Nid oes data ar gael
Gweld graff cysylltiadau