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A Study on the AI Translation of Ambiguous Sentences in Chinese ― A Comparative Analysis of ChatGPT and ERNIE Bot in Chinese-Korean Translation

  • The Journal of Study on Language and Culture of Korea and China
  • Abbr : JSLCKC
  • 2025, (75), pp.185-210
  • DOI : 10.16874/jslckc.2025..75.007
  • Publisher : Korean Society of Study on Chinese Languge and Culture
  • Research Area : Humanities > Chinese Language and Literature
  • Received : January 10, 2025
  • Accepted : February 20, 2025
  • Published : February 28, 2025

Huan-Chang Chen 1

1한세대학교 중국어학과

Accredited

ABSTRACT

This study examines the translation of modern Chinese ambiguous sentences into Korean, comparing ChatGPT 4.0 and Ernie Bot 3.5. It evaluates their ability to interpret dual meanings across lexical, grammatical, and semantic ambiguities, identifying strengths, weaknesses, and areas for improvement in handling complex contexts. The results show that ChatGPT 4.0 excels in lexical ambiguities, leveraging contextual information more effectively and providing broader dual-meaning coverage than Ernie Bot 3.5. However, for grammatical and semantic ambiguities, both tools perform similarly, with common issues such as insufficient dual interpretation and difficulty handling complex structures. Both also struggle with high semantic load sentences, often defaulting to a single interpretation and lacking contextual adaptability. This study highlights the performance limitations of ChatGPT 4.0 and Ernie Bot 3.5 in ambiguous sentence translation and identifies key challenges in advanced semantic processing, offering insights for future AI translation optimization.

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