학술논문
Comparing spoken discourse marker use in NS and NNS speech: A corpus-based study using ChatGPT
이용수 3
- 영문명
- 발행기관
- 경희대학교 언어정보연구소
- 저자명
- Soojin Ahn
- 간행물 정보
- 『언어연구』제42권 Special Edition, 261~289쪽, 전체 29쪽
- 주제분류
- 인문학 > 언어학
- 파일형태
- 발행일자
- 2025.09.30
국문 초록
This study investigates the frequency and functional use of spoken discourse markers(DMs) by native speakers (NS) and non-native English speakers (NNS) using spokenmonologue data from the ICNALE corpus. The dataset includes English learners fromnine different L1 backgrounds at two proficiency levels, along with NS speakers. Employing an AI-assisted corpus analysis approach using ChatGPT and regex-basedpattern matching, the study identifies 32 spoken discourse markers categorized into 14functional types. Results reveal clear developmental trends: while NNS-low learnersshowed narrow and formulaic use, NNS-high learners demonstrated more frequent andflexible use, approaching NS patterns. However, both NNS groups underusedpragmatically rich markers (e.g., well, I mean, you know) and overused basic ones likeI think, so and and. NSs showed greater variety and more implicit functional use. Thestudy highlights the value of explicit instruction targeting underused DMs and showshow generative AI can support scalable, context sensitive discourse analysis. Findingsoffer implications for EFL pedagogy and the integration of AI tools into appliedlinguistics research.
영문 초록
목차
1. Introduction
2. Background
3. Method
4. Results
5. General discussion
References
해당간행물 수록 논문
참고문헌
- Journal of the Faculty of Arts and Humanities
- Journal of Pragmatics
- Journal of Pragmatics
- MEXTESOL Journal
- Journal of Pragmatics
- Language and Speech
- Pragmatics
- The Korean Language in America
- East Asian Pragmatics
- Studies in Second Language Learning and Teaching
- Language Teaching
- Journal of Pragmatics
- Language Variation and Change
- ARELE: Annual Review of English Language Education in Japan
- Studies about Languages
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