Statistical machine translation (SMT) is the text translation by the statistical parameter models obtained from the training corpus, which has become the mainstream of machine translation research.
统计机器翻译是利用基于语料库训练得到的统计参数模型，将源语言的文本翻译成目标语言，它是机器翻译的主流方向。
The paper gives a survey on three approaches of statistical machine translation and the evaluation methods used in SMT.
本文综述了基于信源信道思想和基于最大熵思想的统计机器翻译方法并介绍了统计机器翻译的评测方法。
Based on the current statistical machine translation, the size of corpus and the accuracy of word alignment mainly affect the performance of SMT systems.
在当前的基于统计的翻译方法中，双语语料库的规模、词对齐的准确率对于翻译系统的性能有很大的影响。
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