Inicio  /  Applied Sciences  /  Vol: 14 Par: 8 (2024)  /  Artículo
ARTÍCULO
TITULO

Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction

Chanjun Park    
Seonmin Koo    
Gyeongmin Kim and Heuiseok Lim    

Resumen

In this study, we conduct a pioneering and comprehensive examination of ChatGPT?s (GPT-3.5 Turbo) capabilities within the realm of Korean Grammatical Error Correction (K-GEC). Given the Korean language?s agglutinative nature and its rich linguistic intricacies, the task of accurately correcting errors while preserving Korean-specific sentiments is notably challenging. Utilizing a systematic categorization of Korean grammatical errors, we delve into a meticulous, case-specific analysis to identify the strengths and limitations of a ChatGPT-based correction system. We also critically assess influential parameters like temperature and specific error criteria, illuminating potential strategies to enhance ChatGPT?s efficacy in K-GEC tasks. Our findings offer valuable contributions to the expanding domain of NLP research centered on the Korean language.

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