An Exploration of English-Chinese AI Interpreting Difficulties from a Perspective of Practical Application

Abstract

Artificial Intelligence (AI) technology has been making tremendous progress in language interpreting these years, which poses a pressure on interpreters. However, challenge as it is, there is still much that interpreters can do but AI falls flat. This paper focuses on the features of AI interpreting in comparison with human interpreting based on exemplifications and a theoretical framework. Conclusions have been drawn that although AI can do better in storage of information, it relies heavily on the maturity of corpora. Since multidimensional corpora should be built up for AI interpreting training, exploring and analyzing them can provide valuable additional information on how AI interpreting system can translate source language into target language like a real man.