Publications
Publication details [#38505]
Pisani, Elisabetta and Claudio Fantinuoli. 2021. Measuring the Impact of Automatic Speech Recognition on Number Rendition in Simultaneous Interpreting. In Wang, Caiwen and Binghan Zheng (郑冰寒), eds. Empirical Studies of Translation and Interpreting: the post-structuralist approach (Routledge Advances in Translation and Interpreting Studies). London: Routledge. pp. 181–197.
Publication type
Article in jnl/bk
Publication language
English
Abstract
Automatic speech recognition (ASR) has been proposed as a tool to augment interpreters’ performance in simultaneous interpretation. In particular, ASR could offer support during the translation of several problem triggers identified in literature, such as numbers, terminology, and named entities. Because of the novelty of this technology, little is known about its real potential in the booth. The effect on the interpreters’ performance of manual information lookup with computer-assisted interpreting tools and of ASR simulated systems recently have been in the focus of empirical research. The present experimental study adds to this body of evidence by analysing the impact of a real-life ASR tool on the simultaneous interpretation of numbers. The results show a significant reduction of error rate, which drops from 39.8% without any support to 14.8% with the use of the ASR support.
Source : Publisher information