생성형 AI의 문법적 능력에 대한 국어학적 연구 - 형태 통사적 특성을 중심으로 -
A study on the grammatical competence of generative AI - Focusing on Korean morpho-syntactic features -
- 발행
- 2024 등록이 논문은 발행 시점을 확인하지 못해 원문 등록일을 적었습니다. KCI가 2005~2008년에 옛 논문을 몰아서 올린 탓에, 그 시기 등록분은 발행보다 평균 3~5년 늦습니다. 실제 발행연도는 더 이를 수 있습니다.
- 소속·발행
- 연세대학교
- 출처
- 국내 KCI
- DOI
- 10.16876/klrc.2024.65.11.1
- 원문
- 원문 보기 ↗
개념
키워드
생성형 AI, 문법성, 어미, 부정문, 문법적 능력, 이해 능력, 생성 능력, generative AI, grammaticality, endings, negative sentences, grammatical competence, understanding ability, production ability
초록
This study aims to determine whether generative AI has grammatical skills at the level of native Korean speakers. For this purpose, a grammatical understanding ability test and a production ability test were conducted. In Chapter 2, we reviewed previous research related to language ability evaluation of generative AI and presented an evaluation method. In Chapter 3, the grammatical ability of generative AI for ‘endings’ and ‘negative sentences’ was tested in terms of understanding and production. This work could improve the performance of domestic and foreign language models. This is because it summarizes areas where Korean language study can contribute, such as fine-tuning specific errors in terms of Korean grammatical ability. And conversely, it can be said that the possibility of using generative AI services in Korean language education and research was also discussed.
 The results of this study can be summarized into the following three points. First, these models generally showed a much higher percentage of correct answers in the grammaticality judgment test than in the correction. This is natural, assuming that generative AI is a Korean language learner. This provides an