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Finding similarity degree is one of the significant technologies used in the sample-based machine translation.It works in the following principle,first matching the input sentences with a sentence in the sample database,after that it is necessary to pick up parts of the similar sentences for the sentence which is aimed to translate; it is finished by correcting the structure or paraphrasing it with a relevant meaning.For that reason,the degree of similarity of two samples highly affects on the results of translation.Thus,there are dependence between quality of the outputs and the similarity degree.