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Innovations to Machine Translation of Chinese Patent Medicine Instructions

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Published:05 March 2024Publication History

ABSTRACT

During the COVID-19 pandemic, Chinese Patent Medicine (CPM) was proved efficient in preventing virus propagation. However, the current instant translations provided by automatic translation engines on the Internet have been fraught with inaccurate information, which hindered the spread of CPM to overseas. By pointing out the problems in machine translation, this paper offers some solutions to improving the quality of instant translation of CPM instructions. The key improvement is the multiple specially trained models for specific translations, in which the CPM Model has been specially trained for CPM instruction translation. It is found that the translations by specially trained models are noticeably improved in accuracy, grammar and readability, and with the most resemblance to the human expert translation. The paper concludes that machine translators are mimics of human translators, when machine translators follow human experts more closely, especially in a specific translation field, they can make better performances than before.

References

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        NLPIR '23: Proceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval
        December 2023
        336 pages
        ISBN:9798400709227
        DOI:10.1145/3639233

        Copyright © 2023 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 5 March 2024

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