一句话：提出同位素替换方法，通过可控的词替换改进机器翻译系统，并缓解替换影响难控的问题。
机器翻译在日常国际交流中十分重要，但现有系统仍远非完美。为改进机器翻译，已有研究提出多种测试方法，其中基于词替换的方法较有前景：它在原句中仅替换一个词，从而构造句对。然而，这类方法仍难以精确控制词替换带来的影响。本文提出同位素替换（isotopic replacement），旨在通过可控的词替换改进机器翻译系统，并应对替换影响难以精确控制的问题。摘要未给出具体实验设置与结果，因此无法从现有信息判断其实际改进幅度。
Machine translation plays an essential role in people's daily international communication. However, machine translation systems are far from perfect. To tackle this problem, researchers have proposed several approaches to testing machine translation. A promising trend among these approaches is to use word replacement, where only one word in the original sentence is replaced with another word to form a sentence pair. However, precise control of the impact of word replacement remains an outstanding issue in these approaches.
@inproceedings{0004Z0HP022,
title = {Improving machine translation systems via isotopic replacement},
author = {Zeyu Sun and Jie M. Zhang and Yingfei Xiong and Mark Harman and Mike Papadakis and Lu Zhang},
booktitle = {ICSE},
year = {2022},
doi = {10.1145/3510003.3510206}
}