Post-editing Strategies for New Energy Translation aided by DeepSeek
Abstract: While machine translation (MT) tools are capable of improving translation efficiency for language service industry, MT post-editing quality still remains challenging due to language gaps and customer requirements. This study investigates the application of Deepseek in new energy translations and puts forward five post-editing strategies for Chinese-English translation. The article provides effective solutions for optimizing DeepSeek’s translation, facilitating international dissemination of new energy technologies.
Institutions
- University of Shanghai for Science and Technology (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-18
- DOI
- https://doi.org/10.5281/zenodo.16257556
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00