首页> 外国专利> 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

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

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.
机译:本发明使用从英语-韩语机器翻译系统中建立的并行语料库到在英语名词的上下文中选择合适的自然翻译词的系统和方法的均值矢量。本发明是通过针对WordNet含义代码的词汇对齐过程而获得的均值向量,并且将英语-韩语并行语料库分配给英语-韩语机器翻译系统中的每个在词典中注册的英语名词词,以提高选择单词的能力。适用于上下文的自然翻译词用于确定英语单词的含义,并通过适当的手段选择最佳的韩语翻译词候选韩语翻译词,为输入的特定名词词构建测试向量句子,一个组建向量它计算相似度,然后根据英语词汇词典中翻译单词的含义来确定英语词汇的含义,使用建立的朝鲜语空气选择最自然的词组信息韩文翻译的上下文。

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