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On the Hallucination in Simultaneous Machine Translation

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arxiv 2406.07239 v1 pith:AI6M73MF submitted 2024-06-11 cs.CL

Meizhi Zhong , Kehai Chen , Zhengshan Xue , Lemao Liu , Mingming Yang , Min Zhang This is my paper · ORCID
classification cs.CL
keywords hallucinationsimtinformationmachinesimultaneoustarget-sidethemtranslation
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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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