ISAR

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Post-editing Strategies for New Energy Translation aided by DeepSeek


Author: Jingwen Li*, Ximin Yin, Bingbing Leng
Published Date: 2025-07-17
Keywords: Machine translation; Post-editing; Error analysis; New energy.
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.

Journal: ISAR Journal of Arts, Humanities and Social Sciences
ISSN(Online): 2583-9691
Publisher: ISAR Publisher
Frequency: Monthly
Language: English

Post-editing Strategies for New Energy Translation aided by DeepSeek
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