This study examines the phenomenon of backtracking in English sentence processing from syntactic, semantic, and cognitive perspectives. It explores how adverbial clause type, tense combination, information structure, and collocational relations affect the degree of backtracking, with special attention to adverbial clauses such as ‘after’, ‘before’, ‘when’, ‘while’, and the ‘not A until B’ construction. Experimental analysis demonstrates that structural complexity, information focus, and (non-)collocational relationships between adverbial clause transitive verbs and main clause subjects are key factors determining backtracking strength and frequency. Longer clause structures and repeated tenses intensify the need for information reanalysis, thereby increasing backtracking effects. L2 learners often fail to backtrack in temporarily ambiguous sentences, leading to lower comprehension than L1 speakers. L2 learners need focused instruction and practice regarding backtracking. By using generative AI tools like ChatGPT 4.1, this study opens new possibilities for research in language processing and pedagogy.
한국언어연구학회 [The Korean Association of Language Studies]
설립연도
1996
분야
인문학>언어학
소개
한국언어연구학회는 언어학과 언어교육 분야의 연구를 통하하여 학문의 질적 향상과 국내외 회원 및 학회간의 학술 교류와 친목을 도모한다. 이를 위해 학술 연구 발표회, 강연회, 강습회를 개최하고, 정기학회지, 연구보고서, 서적 등을 간행하며, 그 밖에 지역사회에 필요한 사업과 연구 활동을 수행하는데 중점을 두고 있다.