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A Report On The Mock Interpretation Of Google I/O 2017

Posted on:2019-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhangFull Text:PDF
GTID:2405330566490628Subject:English interpretation
Abstract/Summary:PDF Full Text Request
Simultaneous interpretation is an important form of interpreting.It is also the most important and difficult branch to master in the classification of interpretation,which has very high requirements for the timely response of translators.Simultaneous interpreters need to start interpreting after the output of the source language.The longer the interval between the speaker and the interpreter,the more content the interpreter has to memorize and analyze,and has higher requirement on the interpreter.In order to alleviate the pressure,interpreters must control the rhythm of the time to start interpreting,and interpreters also need to select the corresponding interpreting strategy to process the input information,as well as try to output the translation in full according to the format of the source language.In the six strategies of interpretation,syntactic linearity is at the top of the list and it is the first choice to keep the original format.Syntactic linearity will save the translator's reaction time in reconstructing the sentence,so that the translator can keep up with the speed of the output of the source language,and fully express the information.In this way,syntactic linearity can minimize the pressure of the translator's sentence reconstruction.This report uses the2017 Google I/O Conference as an interpreting material,and uses this to analyze the important role of the principle of “Syntactic linearity” in processing sentences on the spot,and analyzes the methods in processing different type sentences.This report aims at discussing the practical application of simultaneous interpretation techniques with other interpreters,and provide some inspiration for the future interpretation practice.
Keywords/Search Tags:Simultaneous Interpretation, Syntactic Linearity, Google I/O
PDF Full Text Request
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