TranSmart: A Practical Interactive Machine Translation System
Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li,, Zhaopeng Tu, Chengyan Huang, Shuming Shi

TL;DR
TranSmart is an interactive machine translation system that enhances translation quality and efficiency through features like autocompletion and translation memory, allowing flexible user interaction and reducing errors.
Contribution
It introduces a practical interactive translation system with novel autocompletion and translation memory features, improving user interaction and translation accuracy.
Findings
Supports word-level and sentence-level autocompletion
Uses translation history to reduce errors
Achieves efficient and flexible translation interaction
Abstract
Automatic machine translation is super efficient to produce translations yet their quality is not guaranteed. This technique report introduces TranSmart, a practical human-machine interactive translation system that is able to trade off translation quality and efficiency. Compared to existing publicly available interactive translation systems, TranSmart supports three key features, word-level autocompletion, sentence-level autocompletion and translation memory. By word-level and sentence-level autocompletion, TranSmart allows users to interactively translate words in their own manners rather than the strict manner from left to right. In addition, TranSmart has the potential to avoid similar translation mistakes by using translated sentences in history as its memory. This report presents major functions of TranSmart, algorithms for achieving these functions, how to use the TranSmart…
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Multimodal Machine Learning Applications
