1.Ministry of Education Industry-University Cooperation Collaborative Education Program (Project No.: 250901339285841) 2. 2025 Key Research Project on Economic and Social Development of Heilongjiang Province (Foreign Language Special Project) (Project No.: WY2025034) 3. Heilongjiang Institute of Technology 2024 Annual Research and Practice Project on Emerging Engineering Education (Emerging Liberal Arts) (Project No.: XGK2024108)
Abstract
The translation of the official political texts, namely the Government Work Report demands a high degree of accuracy, terminological consistency, contextual awareness, and the effective conveyance of cultural connotations. This study constructs a corpus comprising the Chinese source texts of the Government Work Report for the years 2024 to 2026, their official English translations (as published on the official website), and the English translations generated by the LLM ChatGPT-4o. Employing linguistic analysis tools such as EmEditor, Corpus Word Parser, AntConc 3.5.7, and Wordsmith Tools 9.0, and adopting a mixed-method approach combining quantitative and qualitative, this study compares the linguistic and textual differences between human and ChatGPT translations at both the lexical and syntactic levels. The findings indicate that in the translation of the official political texts, namely the Government Work Report, human translators outperform ChatGPT in terms of both lexical precision and syntactic organization, demonstrating particular strengths in readability, logical coherence, and overall textual structuring. Meanwhile, ChatGPT exhibits clear advantages as an assistive tool for translating such texts. The integration of human-machine collaboration represents an emerging paradigm for the future development of the translation industry.
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