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SYSTEM FOR TARGET WORD SELECTION USING SENSE VECTORS AND KOREAN LOCAL CONTEXT INFORMATION FOR ENGLISH-KOREAN MACHINE TRANSLATION AND THEREOF
SYSTEM FOR TARGET WORD SELECTION USING SENSE VECTORS AND KOREAN LOCAL CONTEXT INFORMATION FOR ENGLISH-KOREAN MACHINE TRANSLATION AND THEREOF
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机译:英韩机器翻译中使用敏感矢量和韩文本地信息的目标词选择系统及其实现
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摘要
The present invention uses the mean vector from a parallel corpus built in English-Korean machine translation system to a system and method for selecting a suitable natural translated words in the context of the English nouns.; The present invention is a mean vector obtained by the vocabulary alignment process for the WordNet meaning codes and English-Korean parallel corpus is assigned to English-Korean machine translation system each English noun words registered in the dictionary in order to increase the ability to select a natural translated words appropriate to the context in used to mean that determine the meaning of English words, and as to choose the best Korean translated words of Korean translated words candidates with the appropriate means, build a test vector for a particular noun words of the input sentence, a group building vector It calculates the degree of similarity, and then the meaning of the English vocabulary is determined by that of the translated words from the dictionary of the English vocabulary, group information by using the Korean air established to select the most natural Korean translated words in context.
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