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There are many methods to compute the similarity rate of two texst. String similarity computing methods are generally improved through thinking English. Thus, even they are succesfull for the texts in English; they may not perform as the same for Turkish texts. Therefore, in this work a new similarity computing method has been improved by modeling some misspelling cases oftenly encountered in matching Turkish texts and computing similarities.