给定源语言句子，系统在所有候选目标语言句子中，基于统计模型选择概率最大的句子作为翻译结果。

Given a source sentence, and based on the statistical model, the system selects the string with the highest probability by statistical model from all possible target sentences.

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本文研究的目的是建立基于词上下文的汉语统计语言模型。

The aim of this thesis is to construct a word-based context Chinese language model.

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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。

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.

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