Abstract
Detecting similar instance is a research hot spot of Example-Based Machine Translation.The method of Vector Space Model is one of the mainstream detection methods. However, thereare two disadvantages for it: detection speed is very slow and synonym substitution is not accurate.To solve these problems, fingerprint retrieval algorithm is introduced to improve the detectionspeed. A concept of replacement cost is put forward to measure the accuracy of substitutionbetween synonyms. The result shows that this method can not only improve the detection speed butalso produce a certain improvement to the accuracy of the similarity calculation.
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