EBMT

An appropriate parsing to the sentences is necessary for sentence similarity calculation in EBMT.

在基于实例的汉英机器翻译（EBMT）系统中，为计算语句相似度，需要对句子进行适当的分析。

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Meanwhile, we also present the translating algorithm of the EBMT system.

另外本文还给出了EBMT系统的翻译算法。

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The Research on Recognizing the Predicate Head of a Chinese Simple Sentence in EBMT

面向EBMT的汉语单句谓语中心词识别研究

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It is necessary to grasp the main structure of the sentence through its predicate head for the sentence similarity calculation in EBMT.

在基于实例的机器翻译（EBMT）的语句相似度研究中，确定谓语中心词以把握句子的整体结构是至关重要的。

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This thesis introduces several important EBMT models based on bilingual aligned trees.

本文对几种重要的基于双语对齐树的EBMT模型作了介绍。

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The results indicate that it's feasible to use the translation template applied in this paper in EBMT systems.

实验结果表明，本文提出翻译模板抽取与匹配算法应用于EBMT系统中是可行的。

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A basic problem for EBMT is how to construct the translation unit base.

基于实例机器翻译面临的一个基本问题是如何确定翻译实例。

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Using translation template to complete the translation is a useful method in EBMT.

利用翻译模板完成翻译是EBMT中常用的一种方法。

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This thesis emphasizes on the EBMT methods based on bilingual aligned trees.

本文着重对基于双语对齐树库的EBMT方法进行了介绍。

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Now, chunk identification is widely used in many fields of natural language processing, especially in the example based machine translation ( EBMT), in which chunk identification is one of major techniques.

现在组块分析广泛用于自然语言处理的众多方面，尤其是在基于实例的机器翻译EBMT研究中，组块分析是重要技术之一。

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Construction of the Chinese sentence pattern in EBMT

面向EBMT的汉语句子模式构造

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