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哈希算法与语义映射在语料库对齐中的运用
引用本文:戴光荣,宋玉春.哈希算法与语义映射在语料库对齐中的运用[J].福建工程学院学报,2014,0(5):454-458,463.
作者姓名:戴光荣  宋玉春
作者单位:福建工程学院人文学院
基金项目:福建省社科规划一般项目(2013B222);福建省教育科学“十二五”规划重点课题
摘    要:探讨汉英句级对齐软件设计中两项主要技术,即哈希算法与词典语义映射在对齐中的运用。哈希算法能帮助软件从词典大量的英汉词条语义信息中快速提取所需的对应义,结合语义映射,将需要对齐的句子关键词信息进行语义识别,从而有效提高汉英句子对齐效果。

关 键 词:哈希算法  词典语义映射  对齐技术  平行语料库

Applications of hash algorithms and semantic mapping in C-E sentential alignment
Dai Guangrong,Song Yuchun.Applications of hash algorithms and semantic mapping in C-E sentential alignment[J].Journal of Fujian University of Technology,2014,0(5):454-458,463.
Authors:Dai Guangrong  Song Yuchun
Institution:School of Humanities, Fujian University of Technology
Abstract:Automatic sentential alignment of Chinese and English texts is of critical importance to formulate Chinese English parallel corpora. The alignment quality has direct impact on the reliability of related research such as machine translation, bilingual lexicography and contrastive language studies. This research adopts the two key technologies of alighment software designing, i.e. hash algorithm and semantic mapping to perform sentential alignment of Chinese/English texts. hash algorithms enable retrieving information from the knowledge database in a high speed, and can conduct semantic recognition of the key words/information of the sentences to be aligned via semantic mapping to attain effective E-C corpora alignment. This research can shed new light on Chinese/English sentential alignment.
Keywords:hash algorithm  semantic mapping  alignment technology  parallel corpus
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