EBMT系统是一种基于语料库的机器翻译方法，其主要思想是通过类比原理进行翻译。
EBMT system is one of corpus based machine translation methods that applies analogy theory to translation as its main idea.
随着语料库语言学的兴起，基于实例的机器翻译(EBMT)得到越来越多的研究。
Along with the Corpus Linguistics prosperity and development, the research on Example Based Machine Translation (EBMT) has a flourishing prospect.
基于语料库的方法为机器翻译研究提供了新的途径。
The corpus-based approach opens up a new way to MT 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。
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.
双语语料库在基于实例的机器翻译、翻译知识的获取、双语词典的建立、词义消歧等领域有着重要的应用价值。
Bilingual corpus plays an important role in Example-base Machine translation (EBMT), acquirement of translation knowledge, construction of bilingual dictionary etc.
双语语料库在基于实例的机器翻译、翻译知识的获取、双语词典的建立、词义消歧等领域有着重要的应用价值。
Bilingual corpus plays an important role in Example-base Machine translation (EBMT), acquirement of translation knowledge, construction of bilingual dictionary etc.
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