It is widely known that hallucination is a critical issue in Simultaneous Machine Translation (SiMT) due to the absence of source-side information. While many efforts have been made to enhance performance for SiMT, few of them attempt to understand and analyze hallucination in SiMT. Therefore, we conduct a comprehensive analysis of hallucination in SiMT from two perspectives: understanding the distribution of hallucination words and the target-side context usage of them. Intensive experiments demonstrate some valuable findings and particularly show that it is possible to alleviate hallucination by decreasing the over usage of target-side information for SiMT.
@article{arxiv.2406.07239,
title = {On the Hallucination in Simultaneous Machine Translation},
author = {Meizhi Zhong and Kehai Chen and Zhengshan Xue and Lemao Liu and Mingming Yang and Min Zhang},
journal= {arXiv preprint arXiv:2406.07239},
year = {2024}
}