Interactive machine translation (IMT) has emerged as a progression of the
computer-aided translation paradigm, where the machine translation system and
the human translator collaborate to produce high-quality translations. This
paper introduces Synslator, a user-friendly computer-aided translation (CAT)
tool that not only supports IMT, but is adept at online learning with real-time
translation memories. To accommodate various deployment environments for CAT
services, Synslator integrates two different neural translation models to
handle translation memories for online learning. Additionally, the system
employs a language model to enhance the fluency of translations in an
interactive mode. In evaluation, we have confirmed the effectiveness of online
learning through the translation models, and have observed a 13% increase in
post-editing efficiency with the interactive functionalities of Synslator. A
tutorial video is available at:this https URL

该论文介绍了 Synslator，这是一款用户友好的计算机辅助翻译工具，不仅支持交互式机器翻译（IMT），而且在实时翻译记忆的在线学习方面表现出色。通过评估，我们确认了在线学习的有效性，并观察到使用 Synslator 的交互功能将后期编辑效率提高了 13%。