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计算机科学 2003
Research and Implementation of Chinese Text Proofreading
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Abstract:
In this paper, we analyze the cause and types of Chinese text errors. Based on the weak relation between the error words and its adjoining words, we detect Chinese text errors using bi-gram as computational model. In this model, bi-cooccurrence probabilities, mutual information and t-test are applied. With context relation and likelihood match, the correction of Chinese text errors is implemented. The result of our experiment show the precise rate of the correction is 46. 5%:
