Font Size: a A A

A Study Of Strategies For Long Attributives In C-E SI Under The Principle Of Syntactic Linearity

Posted on:2024-06-15Degree:MasterType:Thesis
Country:ChinaCandidate:B YanFull Text:PDF
GTID:2545307100486104Subject:Translation
Abstract/Summary:PDF Full Text Request
Nowadays,an increasing number of international events and conferences take place in China because of its rapid economic development and international greater say.Interpreters admittedly play the vital role as a medium of communication between different cultures.There’s no denying that simultaneous interpretation(SI)constitutes a highly-intensive mental task characterized by time constraints,multiple tasks and huge pressure and requires interpreters to achieve a continuous flow of inputs and outputs.However,sentences of long attributives with frequent appearances in C-E simultaneous interpretation undoubtedly serve nothing but further complicate the challenging task.These sentences featured as a long attributive before the headword exclude interpreters from delaying their outputs until hearing the headword.Such obstacles confronting many students and practitioners in simultaneous interpretation are no longer formidable if right strategies are under way.Based on Daniel Gile’s Effort Model,this thesis aims to analyze the necessity of syntactic linearity principle to long attributives in C-E SI,compare the outputs of student interpreters applying different strategies in terms of quality and accuracy,and summarize specific coping strategies of segmentation,omission,amplification,subject storage and conversion of part of speech to help interpreters unload memory burdens,balance energy distribution and produce high-quality outputs.This thesis explores specific strategies pertaining to long attributives in C-E SI under the principle of syntactic linearity and hopes to provide reference to the teaching and practice in C-E SI.
Keywords/Search Tags:Chinese-English Simultaneous Interpretation, Long Attributives, Syntactic Linearity Principle, Effort Model
PDF Full Text Request
Related items