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Lexical Cohesion in English-Chinese Business Translation: Human Translators Versus ChatGPT

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Listed:
  • Na Tang
  • Mohamed Abdou Moindjie

Abstract

Lexical cohesion involves the continuity of text on the level of lexis achieved through word choices; it embodies repetition, synonymy, and collocation (Halliday, 1985). This study attempts to elucidate the lexical cohesion and examine translation shifts in the English-Chinese translation of business texts. The English business texts are compared with two Chinese translations- one by human translators and the other by ChatGPT. The research is based on Halliday's (1985) cohesion and Toury's (2012) descriptive translation studies. The data of lexical cohesion are identified and collected manually in a parallel corpus. The analysis deals with the description of lexical cohesion and translation shifts. The research reveals that semantic meanings of the items of lexical cohesion are largely maintained in the English-Chinese business translation. Additionally, despite using translation methods like literal translation, addition, omission, and conversion in translating lexical cohesion, human translators make more translation shifts of lexical cohesion than ChatGPT.

Suggested Citation

  • Na Tang & Mohamed Abdou Moindjie, 2025. "Lexical Cohesion in English-Chinese Business Translation: Human Translators Versus ChatGPT," World Journal of English Language, Sciedu Press, vol. 15(2), pages 286-286, March.
    • Handle: RePEc:jfr:wjel11:v:15:y:2025:i:2:p:286
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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