Report On Artificial Intelligence,Technology And The Future Of Law:Unbalanced Semantic Redundancy In E-C Simultaneous Interpreting And Coping Tactics

This project selects a speech entitled Artificial Intelligence,Technology and Future Laws addressed by Professor Dana Remus of the University of North Carolina School of Law in 2017.In the simultaneous interpreting process,the interpreter tried to make the delivery of the speech information complete and fluent,taking all the authenticity and details into account.However,due to different professional backgrounds between the speaker and the audience,in order to meet the total capacity requirements of information input,transfer and output,the interpreter had to coordinate the efforts and time allocation within very limited interpreting time,which imposed extreme pressure and difficulty on her.Among all the difficulties encountered by the interpreter,the biggest one was the semantic redundancy in the speaker's oral language.Based on Professor Tian Yan's(2001)study on and classification about semantic redundancy caused by oral language and background gap between the speaker and audience,the interpreter classified the main difficulties as:1)over-redundancy in semantic sense;2)under-redundancy in semantic sense.According to Gile's(1995:59)proposal on Capacity Requirements and Minimum Fidelity Principle based on the Effort Model,the interpreter should obey Minimum Fidelity Principle,which means if any conflict occurs between the secondary message and the main message,the main message should be reproduced preferentially.Under the instruction of Gile's Effort Model and its principles,the interpreter analyzed the live video recordings,transcripts and the feedback from the audience on site,with reference to Professor Tian Yan's classification about semantic redundancy and taking characteristics of different types of redundancy into account,and tried some tactics to solve the problems caused by the above mentioned difficulties respectively:1)omission;2)reorganization;3)amplification.This report deepens the author's understanding of the difficulties in semantic redundancy interpreting,and provides useful guidance and reference for future simultaneous interpreting practice.