Effect of adaptive spell checking in Persian

In computers era, the flow of producing digital documents simply overwhelmed the traditional manual spell checking, the worst new type of misspelling called typographical errors have been created by machinery text production and management. Therefore, referring to human intolerable load of digital text´s spell checking also the irrecusable ability of computers, including accuracy and speed, automatic spell checking using computer systems would be an important application of computer systems. Different users may have their own misspelling patterns or habits so we believe that using a traditional automatic spell checker using a fix set of rules may not be well performable for all kind of misspelling patterns. Therefore, in this paper, we investigate the effect of adaptive spell checking on Persian language comparing a non-adaptive traditional spell checking. Evaluation results show using adaptive spell checking is superior and more efficient than traditional spell checking with a fix set of rules after a short time of usage.