International Journal of Computer Applications · 2012 · 13 citations · 5 references
Language StudiesArabicComputer ScienceComputational LinguisticsNatural Language ProcessingText AnalyticsArabic OrthographyN-gram AnalysisArabic SpellingCharacter N-gramsSpelling Error DetectionWord N-grams
The main purpose of this paper is to develop a simple and flexible spell-checker for Arabic language. The proposed spell-checker is based on N-Grams scores. For this purpose, eleven matrices are built to present the combination between the Arabic letters word. Each matrix concerns in the connection between a 2-grams letters. Each cell in the generarated matrix is assigned an integer value 2, 1 or 0. The cell is assigned the value 2 in the corresponding matrix; if the word is ended by these two letter and assigned 1 if there is a connection and the word is not over yet, and is assigned 0 otherwise. On the other side searching process for any word that is by extracting each pair of letters in the word then it examines the value for each pair when the corresponding value is zero then the spell checker will consider the test word as wrong; otherwise it will check if it is assign with 1 that indicates that there is a connection it will be continue until reach to the value of 2 to determine that the word is correct. The overall accuracy for the proposed spell-checker is reached to 98.99%.
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Class-based n -gram models of natural language
Peter F. Brown, P.V. deSouza, Robert L. Mercer et al. · 1992 · 2.9K citations
Language Studies, Computer Science, Computational Linguistics +15
Towards Automatic Spell Checking for Arabic
Khaled Shaalan, Amin Allam · 2003 · 29 citations