基于HNC理论机器翻译系统中语义块主辅变换研究  

Research on Main and Subordinate Transformation of Semantic Block in Machine Translation System based on HNC Theory

作　　者：王婷婷 WANG Tingting(School of Foreign Languages,Huaibei Normal University,Huaibei 235000)

机构地区：[1]淮北师范大学外国语学院,淮北235000

出　　处：《吉林农业科技学院学报》2022年第1期63-66,共4页Journal of Jilin Agricultural Science and Technology University

基　　金：2019年度教育部人文社会科学研究规划项目(19YJA860025)。

摘　　要：传统机器翻译系统存在的缺点,即译文质量不高,其准确率极限为70%。HNC理论是针对机器翻译系统存在的缺点进行深入研究,提出一种创新式思路,利用HNC理论中的最重要处理模块之一,即语义主辅变换来提升机器翻译系统性能。文章立足于语义主辅变换原理,阐述了语义块概念与分类,分析语义主辅变换原因,再以案例详细分析语义块主辅变换在HNC理论下机器翻译系统中的应用,利用嵌入一个并不复杂的主辅变换法则,从而使译文质量大幅度提升。The traditional machine translation system has one of the biggest shortcomings, that is, the translation quality is not high, and its accuracy limit is 70%. HNC theory is to conduct in-depth research on the biggest shortcomings of machine translation systems, and propose an innovative way of thinking, using one of the most important processing modules in HNC theory, that is, semantic primary and secondary transformation to improve the performance of machine translation systems. Based on the principle of semantic main and auxiliary transformation, the article explains the concept and classification of semantic blocks, analyzes the reasons for semantic main and auxiliary transformation,and then uses a case to analyze in detail the application of semantic block main and auxiliary transformation in the machine translation system under HNC theory. The uncomplicated principle and auxiliary transformation rule can greatly improve the quality of the translation.

关 键 词：HNC理论 机器翻译系统 语义块主辅变换 

分 类 号：H085[语言文字—语言学]