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Today, Machine Translation has an important role in communication. The need for Machine Translation System is getting higher in this information era. Some Machine Translation already exist, but many researchers interested to improve the quality of translation more natural. Find an optimal translation is not an easy thing to do in language processing. In this paper, we discuss the Machine Translation survey that contains Indonesia language to another language. There are different approaches to machine translation. The various method used in evaluating were also discussed like BLEU and NIST. Moreover, its future works to improve translation quality. From the review results obtained that the translation has better performance depending on the number of the corpus, well-behaved aligned corpus, and the technique used.