RT - Journal Article T1 - The First Persian Context Sensitive Spell Checker JF - ITRC YR - 2010 JO - ITRC VO - 2 IS - 2 UR - http://ijict.itrc.ac.ir/article-1-264-en.html SP - 51 EP - 59 K1 - Persian language K1 - real-word error K1 - Bayesian framework K1 - mutual information AB - 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. LA eng UL http://ijict.itrc.ac.ir/article-1-264-en.html M3 ER -