Machine translation (MT) is one of the core application of natural language processing and an important branch of artificial intelligence research; statistical methods have already become the mainstream of machine translation. This paper explores the comparative analysis on the translation model of statistical natural language processing based on the large-scale corpus; discusses word-based, phrase-based and syntax-based machine translation methods respectively, summarizes the evaluation factors of machine translation and analyzes evaluation methods of machine translation.