A Study on the Improvement of Contextual Interpretation in Korean-Japanese Machine Translation —Focusing on Homonyms—

This study investigated sex a mined whether and how the accuracy of AI-based machine translation has improved, with particular attention paid given to contextual interpretation, a long-standing weakness of machine translation systems. From the 305 homonyms examined analyzed by in Kim(2022), 116 lexical items with high translation difficulty that had previously resulted in mistranslations were selected. Newspaper articles containing these items were retranslated in October 2025, and the translation outputs from two different time points were comparatively compared analyzed. The translations produced by ChatGPT, a generative AI system publicly released in 2023, were also included in the analysis.<br/> The results indicated showed that Google Translate showed demonstrated only a slight improvement in accuracy, whereas Papago exhibited experienced a small decline, suggesting that the homonym translation accuracy in these systems did has not improve substantially improved. In contrast, ChatGPT achieved a markedly higher score, clearly outperforming surpassing both Google Translate and Papago. These findings indicate suggest demonstrate a significant improvement in the accuracy of AI-based MTAI-based machine translation accuracy. Moreover, ChatGPT not only translates homonyms accurately in context but also produces fluent and highly readable translations across the entire texts.

Authors

Publication Details

Journal
Center for Japanese Studies Chung-ang University
Published
2026-02-24
DOI
https://doi.org/10.20404/jscau.2026.02.64.29
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

A Study on the Improvement of Contextual Interpretation in Korean-Japanese Machine Translation —Focusing on Homonyms—

한식 김
Center for Japanese Studies Chung-ang University
Artificial Intelligence in Healthcare and Education
article

A Study on the Improvement of Contextual Interpretation in Korean-Japanese Machine Translation —Focusing on Homonyms—

한식 김
article en

Abstract

This study investigated sex a mined whether and how the accuracy of AI-based machine translation has improved, with particular attention paid given to contextual interpretation, a long-standing weakness of machine translation systems. From the 305 homonyms examined analyzed by in Kim(2022), 116 lexical items with high translation difficulty that had previously resulted in mistranslations were selected. Newspaper articles containing these items were retranslated in October 2025, and the translation outputs from two different time points were comparatively compared analyzed. The translations produced by ChatGPT, a generative AI system publicly released in 2023, were also included in the analysis.<br/> The results indicated showed that Google Translate showed demonstrated only a slight improvement in accuracy, whereas Papago exhibited experienced a small decline, suggesting that the homonym translation accuracy in these systems did has not improve substantially improved. In contrast, ChatGPT achieved a markedly higher score, clearly outperforming surpassing both Google Translate and Papago. These findings indicate suggest demonstrate a significant improvement in the accuracy of AI-based MTAI-based machine translation accuracy. Moreover, ChatGPT not only translates homonyms accurately in context but also produces fluent and highly readable translations across the entire texts.

Center for Japanese Studies Chung-ang UniversityVol. 64
Quality Education
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare and Education
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