Earticle

초록

영어

This paper investigated complement coercion in English from computational psycholinguistic perspectives. In previous psycholinguistic behavioral studies, when humans processed sentences such as The author began the book, it took longer in reading time to process entity noun phrases (e.g., the book) after the next coercing verbs (e.g., begin) that require event arguments (e.g., writing the book) than the ones after non-coercing verbs (e.g., write) that do not. We leveraged one of the recent neural language models, GPT-2, to examine how it as a computational manifestation of the human mind engages in processing complement coercion in English. We found that GPT-2 yielded the higher surprisal value for coerced complements than for non-coerced complements, which is in keeping with the results from previous psycholinguistic behavioral studies. This finding shows that there is a close link between reading time in humans and the informational-theoretic measure of surprisal in GPT-2 during processing sentences containing complement coercion in English, and that in light of their correlation, GPT-2 seems to have learned relevant linguistic information bearing on complement coercion in English.

목차

I. 서론
II. 언어학적 이론: 보충어 강요
III. 신경망 언어 모델과 언어 처리 측정
IV. 실험 연구
1. 보충어 강요 문장 처리 실험 연구
2. 언어 사용자와 GPT-2의 강요 효과 비교
V. 논의 및 결론
Works Cited
Abstract

키워드

저자

• 정원일 [ Chung, Wonil | 동국대학교 ]
• 박명관 [ Park, Myung-Kwan | 동국대학교 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  영어영문학연구 [The Jungang Journal of English Language and Literature]

• 간기

  계간

• pISSN

  1598-3293

• 수록기간

  1968~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 840 DDC 810