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机器翻译比人脑翻译快得多。
<em>Machine</em> <em>translation</em> is a great deal faster than brain translation.
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机器翻译是对人工翻译的模拟。
<em>Machine</em> <em>translation</em> is a simulation to manual work.
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我们研究机器翻译已经八年了.
We have studied <em>Machine</em> <em>Translation</em> for eight years.
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第二,讨论句型转换的机器翻译;
Part Two discusses the syntactic transfer method of <em>machine</em> <em>translation</em>.
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基于语料库的机器翻译系统可分为两种:基于统计的机器翻译系统和基于实例的机器翻译系统。
Corpus-based <em>machine</em> <em>translation</em> systems can be divided two types: statistic-based <em>machine</em> <em>translation</em> system and example-based <em>machine</em> <em>translation</em> system.
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在统计机器翻译领域,基于短语的翻译模型的性能优于基于词的翻译模型。
In statistical <em>machine</em> <em>translation</em> field, the phrase-based translation model outperforms the word-based translation model.
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在机器翻译的研究中,基于实例是一种很好的方法。
In the research of <em>machine</em> <em>translation</em>, the example-based <em>machine</em> <em>translation</em> is a good method.
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但谷歌在线翻译及其他统计机器翻译使用者还要意识到统计机器翻译方式有两大局限。
But there are two important limitations that users of this or any other statistical <em>machine</em> <em>translation</em> system need to understand.
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许多国家都认识到机器翻译研究的艰巨性;
The difficulties in <em>machine</em> <em>translation</em> research world-wide;
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它可能不是真的准确,因为我使用机器翻译.
It might not be really accurate because I use <em>machine</em> <em>translation</em>.