The Korean Association for the Study of English Language and Linguistics
[ Article ]
Korea Journal of English Language and Linguistics - Vol. 26, No. 0, pp.630-650
ISSN: 1598-1398 (Print) 2586-7474 (Online)
Print publication date 31 May 2026
Received 27 Mar 2026 Revised 19 Apr 2026 Accepted 21 Apr 2026
DOI: https://doi.org/10.15738/kjell.26..202605.630

자유 병합과 표찰 알고리즘에 기반한 영어 동사 help의 부정사 보문에 대한 구조적 분석

Dayoon Baek
PhD Graduate, Department of English Language and Literature Pusan National University 2, Busandaehak-ro 63beon-gil, Jangjeon-dong, Geumjeong-gu, Busan 46241, Republic of Korea, Tel: +82-51-510-1510 100dayoon@naver.com
A structural analysis of infinitival complements of the English verb help based on Free Merge and the Labeling Algorithm


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Abstract

This paper examines the syntactic structure of bare infinitival and to-infinitival complements in help-constructions within the framework of Free Merge and the Labeling Algorithm. While previous studies have attempted to account for the contrast in terms of semantic or pragmatic factors, or within ECM/control-based analyses, this paper argues that the distinction is fundamentally structural. Specifically, bare infinitival complements are derived via Pair-Merge between v* and a defective T (uTdef), forming a complex head and yielding a reduced clause (v*P) without an independent TP. In contrast, to-infinitival complements are derived via Set-Merge, in which T is independently merged and projects a full TP. This structural difference accounts for a range of asymmetries, including passivization, temporal interpretation, aspectual marking, and the distribution of negation, adverbs, and adjuncts. The analysis shows that the contrast between the two complement types follows from differences in Merge operations rather than from selectional or interpretive factors. This approach provides a unified account of infinitival variation and can be extended to other non-finite constructions.

Keywords:

help-construction, bare infinitival complement, to-infinitival complement, Free Merge, the Labeling Algorithm, Pair-Merge, Set-Merge

Acknowledgments

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2025S1A5B5A17016603).

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