The effectiveness of computer-assisted interpreting
Sijia Chen, Jan‐Louis Kruger
Abstract
Abstract Facing a new technological turn, the field of interpreting is in great need of evidence on the effectiveness of computer-assisted interpreting. This study proposes a computer-assisted consecutive interpreting (CACI) mode incorporating speech recognition (SR) and machine translation (MT). First, the interpreter listens to the source speech and respeaks it into an SR system, creating an SR text which is then processed by an MT system. Second, the interpreter produces a target speech with reference to the SR and MT texts. Six students participated in training on CACI, after which they performed consecutive interpreting in both the conventional and the new mode. The study finds that CACI featured fewer pauses and reduced cognitive load. Moreover, the overall interpreting quality, especially the accuracy, was increased. The effectiveness of the new mode is found to be modulated by the interpreting direction.