Register Distribution of English Detached Nonfinite/ Nonverbal with Explicit Subject Constructions: a Corpus-Based and Machine-Learning Approach

Жуковська В. В., Мосіюк О. О., Бук С. Н. (2023) Register Distribution of English Detached Nonfinite/ Nonverbal with Explicit Subject Constructions: a Corpus-Based and Machine-Learning Approach. CEUR Workshop Proceedings, 3396. pp. 63-76. ISSN 1613-0073

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Abstract

This article presents the findings of a quantitative corpus-based analysis of the register distribution of detached nonfinite/ nonverbal with explicit subject constructions in present-day English. Despite substantial research on the linguistic diversity of the syntactic patterns under study, no quantitative corpus and machine-learning analysis of the distribution of all their types in modern English registers has been presented. Thus, the statistical platform R was employed to accomplish two goals: 1) to undertake a quantitative corpus-based analysis of register distribution of the analyzed clauses in the BNC corpus and 2) to assess the possibility of occurrence of the clauses under research in the registers of present-day English on the basis of a machine-learning model. The findings of this study provide compelling evidence for the applicability of an integrated quantitative corpus linguistic and machine learning analysis for investigating the linguistic behavior of complex clause-level constructions, such as English detached nonfinite/ nonverbal with explicit subject constructions. The obtained results refute the prevalent view in contemporary English grammars that detached nonfinite/ nonverbal with explicit subject constructions have a limited scope of use and demonstrate that the analyzed syntactic patterns expand their register distribution, penetrating both the written and spoken registers of contemporary formal and informal English discourse.

Item Type: Article
Uncontrolled Keywords: Cognitive-quantitative construction grammar, clause-level construction, statistical platform, integrated approach
Subjects: P Language and Literature > P Philology. Linguistics
P Language and Literature > PE English
Q Science > QA Mathematics > QA76 Computer software
Divisions: Educational and Research Institute of Foreign Philology > Department of Intercultural Communication and Foreign Language Education
Faculty of Physics and Mathematics > Department of Computer Science and Information Technology
Depositing User: Олександр Олександрович Мосіюк
Date Deposited: 22 Jun 2023 08:34
Last Modified: 19 May 2025 21:52
URI: http://eprints.zu.edu.ua/id/eprint/37287

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