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            <title>Proceedings of ALT2023: Ancient Language Translation Workshop</title>
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    <abstract>This paper presents an analysis of the pre-trained Transformer model Neural Machine Translation (NMT) for the Ancient-Chinese-to-Modern-Chinese machine translation task.</abstract>
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%0 Conference Proceedings
%T Pre-trained Model In Ancient-Chinese-to-Modern-Chinese Machine Translation
%A Wang, Jiahui
%A Zhang, Xuqin
%A Li, Jiahuan
%A Huang, Shujian
%S Proceedings of ALT2023: Ancient Language Translation Workshop
%D 2023
%8 September
%I Asia-Pacific Association for Machine Translation
%C Macau SAR, China
%F wang-etal-2023-pre-trained
%X This paper presents an analysis of the pre-trained Transformer model Neural Machine Translation (NMT) for the Ancient-Chinese-to-Modern-Chinese machine translation task.
%U https://aclanthology.org/2023.alt-1.3
%P 23-28

Markdown (Informal)

[Pre-trained Model In Ancient-Chinese-to-Modern-Chinese Machine Translation](https://aclanthology.org/2023.alt-1.3) (Wang et al., alt 2023)

• Pre-trained Model In Ancient-Chinese-to-Modern-Chinese Machine Translation (Wang et al., alt 2023)

ACL

• Jiahui Wang, Xuqin Zhang, Jiahuan Li, and Shujian Huang. 2023. Pre-trained Model In Ancient-Chinese-to-Modern-Chinese Machine Translation. In Proceedings of ALT2023: Ancient Language Translation Workshop, pages 23–28, Macau SAR, China. Asia-Pacific Association for Machine Translation.