Volume 2, Issue 2 (6-2010)                   2010, 2(2): 51-59 | Back to browse issues page

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Faili H, Azadnia M. The First Persian Context Sensitive Spell Checker . International Journal of Information and Communication Technology Research 2010; 2 (2) :51-59
URL: http://ijict.itrc.ac.ir/article-1-264-en.html
1- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
2- Information Technology Department Iran Telecom Research Center Tehran, Iran
Abstract:   (2459 Views)

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.

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Type of Study: Research | Subject: Information Technology

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