Towards Harnessing the Most of ChatGPT for Korean Grammatical Error Correction

Author:

Park Chanjun1ORCID,Koo Seonmin2ORCID,Kim Gyeongmin3ORCID,Lim Heuiseok23ORCID

Affiliation:

1. Upstage, 338, Gwanggyojungang-ro, Suji-gu, Yongin-si 16942, Gyeonggi-do, Republic of Korea

2. Department of Computer Science and Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

3. Human-Inspired AI Research, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

Abstract

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.

Funder

National Research Foundation of Korea

Publisher

MDPI AG

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