摘要
针对传统验证方法正确率较低的问题,本研究旨在提高特别用途医学英语的语块教学能力,保证语块教学验证查准率与查全率。论文提出基于树状词汇语义库特征构造的特别用途医学英语的语块教学验证模型,采用语义本体分析方法进行特别用途医学英语的语义库建模,分析特别用途医学英语语义相似度特征信息,采用语义结构相似度特征挖掘方法进行特别用途医学英语的语块匹配,根据语义特征匹配结果对语义进行重构,根据上下文的映射关系实现最佳语义相关度分析和语块教学验证。仿真结果表明采用该方法进行医学英语的语块教学验证的特征匹配性较好,对模糊语义的辨识度较高,查准和查全性能较好。研究显示特别用途医学英语语块化教学实现了最佳语法分析和语块重构,提高了英语的教学能力。
It aimed to improve the lexical chunk teaching ability of medical English and guarantee the accuracy and recall of lexical chunk teaching verification,aimed at the issue of low accuracy rate of traditional verification method in this paper.A block teaching verification model of medical English based on the features of tree vocabulary semantic database was proposed.The semantic library modeling of medical English was carried out by using semantic ontology analysis method,and the semantic similarity feature information of medical English was analyzed.The semantic structure similarity feature mining method was used to match the language blocks of medical English,and the information semantic features were reconstructed according to the results of semantic feature matching.According to the mapping relationship of context,the optimal semantic relevance analysis and chunks teaching verification were realized.The simulation results showed that this method has good feature matching and high recognition of fuzzy semantics,teaching lexical chunks helps to realize the best grammar analysis and chunks reconstruction,and improved the teaching ability of medical English.
作者
阎先宝
刘佳佳
郭书法
张志新
YAN Xian-bao;LIU Jia-jia;GUO Shu-fa;ZHANG Zhi-xin(School of Languages & Media,Anhui University of Finance & Economics,Bengbu,233030,Anhui;School of Basic Courses,Bengbu Medical College,Bengbu,233030,Anhui)
出处
《蚌埠学院学报》
2019年第5期100-103,122,共5页
Journal of Bengbu University
基金
安徽省人文社科重点项目(SK2018A1157)
安徽省高校重点教学研究项目(2014JYXM206)
安徽省教育厅高校质量工程项目(2017zhkt002)
2018年安徽财经大学特色实验室建设重点项目
关键词
特别用途英语
医学英语
语块
验证研究
English for special purpose
medical English
lexicalchunks
verification study