%0 Journal Article %A Faili, Heshaam %A Azadnia, Mohammad %T The First Persian Context Sensitive Spell Checker %J International Journal of Information and Communication Technology Research %V 2 %N 2 %U http://ijict.itrc.ac.ir/article-1-264-en.html %R %D 2010 %K Persian language, real-word error, Bayesian framework, mutual information, %X In this article an attempt to introduce the first Persian context sensitive spell checker, which tries to detect and correct the :eat-word spelling error of Persian text is presented. The proposed method is a statistical approach which uses Bayesian framework as its probabilistic model and also uses mutual information metric as a semantic relatedness measure between different Persian words. Our experiments on sample test data, shows that accuracy of correction method is about 80% with respect to Fl-measure. %> http://ijict.itrc.ac.ir/article-1-264-en.pdf %P 51-59 %& 51 %! %9 Research %L A-10-27-234 %+ School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran %G eng %@ 2251-6107 %[ 2010