Rather than creating and storing thou-sands of paraphrase examples, para-phrase templates have strong representation capacity and can be used to generate many paraphrase examples. This paper describes a new template representation and generalization method. Combing a semantic diction-ary, it uses multiple semantic codes to represent a paraphrase template. Using an existing search engine to extend the word clusters and generalize the exam-ples. We also design three metrics to measure our generalized templates. The experimental results show that the rep-resentation method is reasonable and the generalized templates have a higher precision and coverage.