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생성형 AI 기반 부정 파생 어휘의 부정극어 인허 고찰

원문정보

A Study on the Licensing of NPIs by Negatively Prefixed Lexical Items Using Generative AI

이두원

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초록

영어

This paper argues that in English, not only explicit negators and negative implication expressions but also negatively prefixed adjectives, verbs, and nouns can license negative polarity items (NPIs). Similarly, in Korean, explicit negators serve as licensors for NPIs, and negatively prefixed lexical items, though to varying degrees and under certain conditions, can also license adverbial NPIs and the weak NPI etten-N-to ‘any-N-even’. Within the theoretical framework of Giannakidou (1998), which distinguishes between general nonveridicality licensing NPIs and strong nonveridicality licensing free choice items (FCIs), this paper further argues that the Korean weak NPI etten-N-to can be licensed by negatively prefixed lexical items in much the same way as the English NPI any, and can also function as an FCI in certain contexts. The specific syntactic and semantic environments in which etten-N-to operates exclusively as an NPI, without shifting to an FCI reading, are also investigated. Finally, it is claimed that, unlike etten-N-to, the strong NPI amwu-N-to ‘amu-N-even’ cannot be naturally licensed by negatively prefixed lexical items without the presence of an explicit negator. To support these claims, this study utilizes ChatGPT-4.0, a generative AI platform, to systematically explore relevant linguistic data.

목차

I. 서론
II. 배미연 (2018), 김보경 (2012), 김설연 (2022)의 기존 연구 비판적 고찰
III. 영어의 부정극어 인허
3.1. 부정 함의 동사의 부정극어 인허
IV. 한국어의 부정 파생 어휘와 부정극어 인허
4.1 부정 파생 어휘와 부사 부정극어
4.2. 부정극어/자유선택어 ‘어떤-N-도’의 쓰임
V. 결론
Works Cited
Abstract

저자정보

  • 이두원 Lee, Doo-Won. 국립한국교통대학교

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