@inproceedings{zhong-etal-2024-hallucination,
title = "On the Hallucination in Simultaneous Machine Translation",
author = "Zhong, Meizhi and
Chen, Kehai and
Xue, Zhengshan and
Liu, Lemao and
Yang, Mingming and
Zhang, Min",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-short.66",
pages = "730--742",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T On the Hallucination in Simultaneous Machine Translation
%A Zhong, Meizhi
%A Chen, Kehai
%A Xue, Zhengshan
%A Liu, Lemao
%A Yang, Mingming
%A Zhang, Min
%Y Ku, Lun-Wei
%Y Martins, Andre
%Y Srikumar, Vivek
%S Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2024
%8 August
%I Association for Computational Linguistics
%C Bangkok, Thailand
%F zhong-etal-2024-hallucination
%X 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.
%U https://aclanthology.org/2024.acl-short.66
%P 730-742
Markdown (Informal)
[On the Hallucination in Simultaneous Machine Translation](https://aclanthology.org/2024.acl-short.66) (Zhong et al., ACL 2024)
ACL
- Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, and Min Zhang. 2024. On the Hallucination in Simultaneous Machine Translation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 730–742, Bangkok, Thailand. Association for Computational Linguistics.