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  • 标题:ENTROPY THEORY: AN EFFECTIVE TOOL OF IMPROVING THE COMPUTATIONAL TRANSLATION
  • 本地全文:下载
  • 作者:JUANJUAN SUO ; HUIQQING TIAN ; YANCANG LI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2012
  • 卷号:45
  • 期号:2
  • 页码:557-561
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Elimination of the ambiguity is the key to the computational translation. In order to find an effective way to improve the accuracy of the computational translation, the cross entropy was introduced. After the analysis of the reasons of the low accuracy, the information entropy was introduced into the disambiguation. The practice of ambiguity elimination shows the method has high accuracy and this study provides an effective way to improve the computational translation. The study has significance in theory and practice for the development of computational translation.
  • 关键词:Computational Translation; Ambiguity Elimination; Entropy
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