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A Report On E-C Translation Of Automobile News On Huanqiu.com In Light Of Peter Newmark's Communicative Translation Theory

Posted on:2019-12-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhuangFull Text:PDF
GTID:2405330596958899Subject:Translation
Abstract/Summary:PDF Full Text Request
China has been world's largest automobile customer.Meanwhile,an increasing number of Chinese are paying great attention to automobile industry.Internet has become an important resource for Chinese people to gain automobile information.Huanqiu.com,as a large-scale web portal,has established a platform for Chinese readers.The contents of the source texts are from the automobile column of Huanqiu.com including new cars,innovative parts,environment-friendly products,recall information and drivers' stories.This practice report explores the E-C translation of Huanqiu.com automobile news in light of Peter Newmark's communicative translation theory.The first chapter introduces the background and purpose of the report before pointing out the structure of this report.The second chapter makes a study of Newmark's communicative translation theory,focusing on the feasibility of applying communicative translation theory to the project.The third chapter is an analysis on linguistic features of the source texts at lexical level and syntactic level.These features lead translation to being inconsistent with the reading habits of Chinese readers and prevent the acceptance of translated news.In the forth chapter,the author applies nine methods to translate cases in light of communicative translation theory.At last,the fifth chapter draws a conclusion by summarizing above points: during the translation of English automobile news,translators should analyze the source texts to find linguistic features.Guided by communicative translation theory,translators should employ corresponding techniques flexibly to remove communicative barriers.
Keywords/Search Tags:Peter Newmark, communicative translation theory, English automobile news, Huanqiu.com
PDF Full Text Request
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