The Building of an Effective Post-Interpreting Review Framework—A Case Study Based on Two Interpreting Tasks of the 2020 WAIC Conference

Abstract

The quality of interpreting is a key indicator of an interpreter's performance. An effective way to improve it is constant reflection. Therefore, post-interpreting review plays a crucial role in improving interpreting quality. At present, there are few studies on this area, and there is still a lack of a complete post-interpreting review framework. Specific studies on the tools, stages and contents of post-interpreting review are rare.

Reflective learning is significant in improving learning effectiveness, with post-interpreting review as a key reflection activity in it. Therefore, reflective learning theories serves as an important guide to promote interpreting learning. Relevant studies have found that writing reflective journals can effectively improve the interpreting quality. In light of it, it is necessary to establish an effective post-interpreting review framework with the reference of reflective learning theories.

Based on relevant reflective learning theories, a review framework was initially established to guide the first post-interpreting review and the second interpreting practice. By comparing the two tasks, the quality of interpreting and the awareness of reflecting was significantly enhanced. Both tasks are mock interpreting tasks for the 2020 World Congress on Artificial Intelligence. This shows that with the aid of a post-interpreting review framework, problems arising from the interpreting practice can be analyzed more comprehensively, and steady improvement of interpreting ability can be achieved.