Synslator: An Interactive Machine Translation Tool with Online Learning

TL;DR

Synslator is an interactive machine translation tool that leverages online learning and real-time translation memories to improve translation quality and efficiency in collaborative translation tasks.

Contribution

It introduces Synslator, a user-friendly CAT tool integrating online learning with neural translation models and a language model for enhanced interactive translation.

Findings

13% increase in post-editing efficiency

Effective online learning with neural translation models

Enhanced translation fluency through integrated language model

Abstract

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:https://youtu.be/K0vRsb2lTt8.