The Korean Association for the Study of English Language and Linguistics

Korean Journal of English Language and Linguistics - Vol. 23
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Korea Journal of English Language and Linguistics - Vol. 23, No. 0, pp. 961-979
Abbreviation: KASELL
ISSN: 1598-1398 (Print) 2586-7474 (Online)
Received 31 Aug 2023 Revised 15 Oct 2023 Accepted 18 Oct 2023
DOI: https://doi.org/10.15738/kjell.23..202310.961

A Corpus-based Study of Metaphor and Metonymy in Maritime English
Mengyu Xu ; Homin Park ; Se-Eun Jhang ; Sunghwa Lee ; Soojung Kim
(1st author) PhD Student, Dept. of English Language and Literature, Korea Maritime & Ocean University (xu18342289428@163.com)
(co-author) PhD Student, Dept.of Computer Engineering, Korea Maritime & Ocean University (homin2006@hanmail.net)
(co-author) Professor, Dept. of English Philology, Hwashin Korea University, Uzbekistan (eabbysunghwa@gmail.com)
(co-author) Professor, Dept. of English Language and Literature, Changwon National University (sjkimok@changwon.ac.kr)
(corresponding author) Professor, Dept. of English Language and Literature, Korea Maritime & Ocean University (jhang@kmou.ac.kr)


© 2023 KASELL All rights reserved
This is an open-access article distributed under the terms of the Creative Commons License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Metaphor and metonymy are essential linguistic devices in Maritime English, enabling the communication of complex ideas and evoking cultural associations. Despite their importance, few studies have investigated the role of these devices in maritime contexts. This study used a method that combines Python coding with manual identification to explore metaphorical and metonymic expressions in a self-constructed corpus of Maritime English. Specifically, we developed Python codes based on previous research to initially identify metaphors and metonymies for efficiency. To ensure the accuracy of the results, we manually identified metaphorical and metonymic expressions using a metaphor identification procedure and the metonymy identification steps proposed by Biernacka (2013). Finally, we categorized the research results according to a standardized classification framework. The study reveals the widespread presence of conceptual metaphor and metonymy in Maritime English; however, conceptual metonyms are mainly concentrated in specific categories. This research contributes to a better understanding of Maritime English and lays the foundation for future studies on metaphor and metonymy in Maritime English.

Keywords: Maritime English, conceptual metaphor, conceptual metonymy, Python codes, Biernacka’s metonymy recognition steps
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