A Study on the Performance of Large Language Models in Translating the Texts of Red Culture into English

This paper takes Chinese red culture resources as its research subject and focuses on evaluating the Chinese-English translation quality of three major AI platforms: ChatGPT-4.0, ERNIE Bot, and DeepSeek. Through automatic quantitative evaluation, it systematically analyzes their performance in translating red culture texts. The study selects a diverse range of corpora, including historical documents, red classic texts, and culturally loaded terms. Three automatic evaluation metrics—GLEU, METEOR, and COMET—are employed for a comprehensive assessment.

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Publication Details

Journal
Journal of Contemporary Educational Research
Published
2025-04-29
DOI
https://doi.org/10.26689/jcer.v9i4.10369
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

A Study on the Performance of Large Language Models in Translating the Texts of Red Culture into English

Yuanpeng Huang, Yiming Li
Journal of Contemporary Educational Research
Computational and Text Analysis Methods
article

A Study on the Performance of Large Language Models in Translating the Texts of Red Culture into English

Yuanpeng Huang, Yiming Li
article en

Abstract

This paper takes Chinese red culture resources as its research subject and focuses on evaluating the Chinese-English translation quality of three major AI platforms: ChatGPT-4.0, ERNIE Bot, and DeepSeek. Through automatic quantitative evaluation, it systematically analyzes their performance in translating red culture texts. The study selects a diverse range of corpora, including historical documents, red classic texts, and culturally loaded terms. Three automatic evaluation metrics—GLEU, METEOR, and COMET—are employed for a comprehensive assessment.

Journal of Contemporary Educational ResearchVol. 9(4)
Shanxi Normal University (CN)
Openalex Percentile: Top 88%
Computational and Text Analysis Methods
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