在基于实例的机器翻译中，句子相似度计算是实例匹配的有效机制。
In example based machine translation, sentence similarity computing is an effective mechanism for example matching.
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.
中文相似句子检索的方法在基于实例的机器翻译等中文信息处理领域，具有非常广泛的应用背景。
The approach of similar Chinese sentence retrieval has been used widely in the field of Chinese information processing, such as Example Based Machine Translation (EBMT) and so on.
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.
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。
It is necessary to grasp the main structure of the sentence through its predicate head for the sentence similarity calculation in EBMT.
在机器翻译的方法中，基于规则的翻译方法和基于实例的翻译方法都有各自的优缺点。
Among methods of machine translation, both rule-based machine translation and example-based machine translation have their own advantages and disadvantages.
短语译文获取技术是基于实例机器翻译系统EBMT中的核心技术之一，短语译文获取技术的性能直接影响到EBMT的性能。
Phrase translation extraction is one of the key techniques in the Example-Based Machine translation (EBMT) as its performance affect the performance of EBMT system directly.
文章提出了一个基于实例模式机器翻译方法，并结合基于规则方法，设计实现了一个基于混合策略的英汉机器翻译系统。
This paper presents a hybrid approach, which integrates an example-pattern-based method and a rule-based method, to the design and implementation of an English-Chinese machine translation system.
文章提出了一个基于实例模式机器翻译方法，并结合基于规则方法，设计实现了一个基于混合策略的英汉机器翻译系统。
This paper presents a hybrid approach, which integrates an example-pattern-based method and a rule-based method, to the design and implementation of an English-Chinese machine translation system.
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