A multi-agent system based on HNC for domain-specific machine translation
Abstract Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and design a new method that can enhance domain-specific machine translation by jointly using this...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-03414-9 |
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| author | Ming Li Keliang Zhang |
| author_facet | Ming Li Keliang Zhang |
| author_sort | Ming Li |
| collection | DOAJ |
| description | Abstract Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and design a new method that can enhance domain-specific machine translation by jointly using this system with alarge language models. We propose a multi-agent system for domain-specific machine translation and a prompt generation method guided by the domain classification system. Tests of cross-lingual translation in the domains of science and technology, health and culture on open-data test sets and English-Chinese translation in the domains of politic, economy, military, and culture on human-generated test sets show our method successfully improves the capability of domain-specific machine translation of LLM. Finally, a real case is provided to demonstrate the workflow of the proposed method. |
| format | Article |
| id | doaj-art-2b304d64d73245c0ac8670bbb9208f63 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-2b304d64d73245c0ac8670bbb9208f632025-08-20T03:38:15ZengNature PortfolioScientific Reports2045-23222025-07-011511810.1038/s41598-025-03414-9A multi-agent system based on HNC for domain-specific machine translationMing Li0Keliang Zhang1College of International Studies, National University of Defense TechnologyCollege of International Studies, National University of Defense TechnologyAbstract Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and design a new method that can enhance domain-specific machine translation by jointly using this system with alarge language models. We propose a multi-agent system for domain-specific machine translation and a prompt generation method guided by the domain classification system. Tests of cross-lingual translation in the domains of science and technology, health and culture on open-data test sets and English-Chinese translation in the domains of politic, economy, military, and culture on human-generated test sets show our method successfully improves the capability of domain-specific machine translation of LLM. Finally, a real case is provided to demonstrate the workflow of the proposed method.https://doi.org/10.1038/s41598-025-03414-9 |
| spellingShingle | Ming Li Keliang Zhang A multi-agent system based on HNC for domain-specific machine translation Scientific Reports |
| title | A multi-agent system based on HNC for domain-specific machine translation |
| title_full | A multi-agent system based on HNC for domain-specific machine translation |
| title_fullStr | A multi-agent system based on HNC for domain-specific machine translation |
| title_full_unstemmed | A multi-agent system based on HNC for domain-specific machine translation |
| title_short | A multi-agent system based on HNC for domain-specific machine translation |
| title_sort | multi agent system based on hnc for domain specific machine translation |
| url | https://doi.org/10.1038/s41598-025-03414-9 |
| work_keys_str_mv | AT mingli amultiagentsystembasedonhncfordomainspecificmachinetranslation AT keliangzhang amultiagentsystembasedonhncfordomainspecificmachinetranslation AT mingli multiagentsystembasedonhncfordomainspecificmachinetranslation AT keliangzhang multiagentsystembasedonhncfordomainspecificmachinetranslation |