论文标题
定义AI增强CAI工具的最大可接受延迟
Defining maximum acceptable latency of AI-enhanced CAI tools
论文作者
论文摘要
近年来，围绕计算机辅助解释工具的设计越来越多，具有集成的自动语音处理以及受训者和专业口译员的使用。本文讨论了此类工具的系统潜伏期的作用，并介绍了一个实验的结果，旨在研究同时工作方式的口译员可以接受的最大系统潜伏期。结果表明，口译员可以应付3秒的系统潜伏期，而不会在准确性和流利性方面对原始文本的演绎产生任何重大影响。该值高于可用的基于AI的CAI工具的典型延迟，并为尝试较大的基于上下文的语言模型和更高的潜伏期铺平了道路。
Recent years have seen an increasing number of studies around the design of computer-assisted interpreting tools with integrated automatic speech processing and their use by trainees and professional interpreters. This paper discusses the role of system latency of such tools and presents the results of an experiment designed to investigate the maximum system latency that is cognitively acceptable for interpreters working in the simultaneous modality. The results show that interpreters can cope with a system latency of 3 seconds without any major impact in the rendition of the original text, both in terms of accuracy and fluency. This value is above the typical latency of available AI-based CAI tools and paves the way to experiment with larger context-based language models and higher latencies.
