Application Of Syntactic Linearity To English-Chinese Simultaneous Interpreting ——A Case Study Of The Keynote Speech In GTC Japan 2018

With the deepening of globalization,cross-cultural exchanges have become more and more frequent.At international conferences,simultaneous interpreters could help listeners understand the speakers’ language when speakers and listeners do not share a language.In the process of simultaneous interpreting,interpreters need to handle multi-tasks of coordinating listening,memory and production at the same time.SI interpreters must allocate their mental energy properly to balance these multiple tasks.The keynote speech of Jensen Huang,the CEO of Nvidia in the GPU Technology Conference Japan 2018 was selected as a material for simulated simultaneous interpreting.During the simulated simultaneous interpreting process,the fast speed of the speaker’s speech,the high density of source language information and professional technical knowledge were the main difficulties for the interpreter’s allocating efforts.In order to overcome the above mentioned difficulties,the principle of syntactic linearity was used in the practice.Daniel Gile’s Effort Models are used to analyze this simultaneous interpreting practice.The first part of the report is a description of the task background and the text features.The second part is the elaboration of the whole interpreting process,including the preparation of the interpreting and the pre-task preparation process.The third part is case analysis.Under the guidance of Daniel Gile’s Effort Models,on the basis of the principle of syntactic linearity,this practice was analyzed in this part to show how to achieve reasonable allocation of mental energy through tactics like segmentation,repetition,addition,omission,and conversion.The fourth part is a conclusion of the report,summarizing the limitations and suggestions for further studies.Through this practice,the interpreter of this simultaneous interpreting task realized that the principle of syntactic linearity can effectively reduce the instantaneous burden of the interpreter and save mental energy,hence improving the performance of interpreting.