基于DHNN的翻译质量熵权TOPSIS评价  

Entropy-weighting TOPSIS evaluation of translation quality based on DHNN

作　　者：邵霞 刘俊 SHAO Xia;LIU Jun(School of Humanities,Shangluo University,Shangluo 726000,Shaanxi Province,China;Electronic Information and Electrical Engineering College,Shangluo University,Shangluo 726000,Shaanxi Province,China)

机构地区：[1]商洛学院人文学院,陕西商洛726000 [2]商洛学院电子信息与电气工程学院,陕西商洛726000

出　　处：《信息技术》2021年第2期13-19,共7页Information Technology

基　　金：陕西省教育科学“十三五”规划2017年度课题(SGH-17H355);商洛学院教育教学改革项目(17jyjx123)。

摘　　要：为了客观和准确地评价英语翻译的译文质量,文中构建了包含11个评价指标的翻译质量评价指标体系,提出了基于离散Hopfield神经网络(DHNN)和熵权TOPSIS算法的翻译质量评价模型。通过与待评价样本学生的高考英语成绩、大学英语成绩、专家评价结果等综合对比分析得出,基于DHNN的翻译质量熵权TOPSISI评价结果较为准确可靠。In order to objectively and accurately evaluate the translation quality of English translations,a translation quality evaluation index system containing 11 evaluation indexes is constructed,and a translation quality evaluation model is proposed based on discrete Hopfield neural network(DHNN)and Entropy-weighting TOPSIS algorithm.Through comprehensive comparison and analysis with the scores of College Entrance Examination and College English Test of students to be evaluated and the expert’s evaluation result of translation,the results show that the Entropy-weighting TOPSIS model of translation quality based on DHNN is accurate and reliable.

关 键 词：DHNN 熵权法:TOPSIS法 翻译质量评价 

分 类 号：H315.9[语言文字—英语]