EXTRACTION OF ANGLICISMS FROM A CORPUS OF MACEDONIAN MAGAZINE TEXTS
Vol.11, Issue 1, 2025, pp. 141-159 Full text: PDF . HTML
DOI: https://doi.org/10.33919/esnbu.25.1.8
Web of Science: 001528232700010
Author:
Lina Miloshevska https://orcid.org/0000-0003-3856-5448
Affiliation:
University of Information Science and Technology "St. Paul The Apostle", Ohrid, North Macedonia 0264mz016
Abstract
The present article is a description of the stages involved in compiling a specialized corpus of Macedonian magazine texts and the software tools employed to extract anglicisms from the corpus. The texts were collected from the magazine Kapital and cover two distinct periods: the years 2000 and 2020. The size of the corpus is about 2 million tokens and 141,852 types. The software employed produced word lists that later in combination with other statistical techniques produced a refined Anglicism headword list from which new anglicisms were extracted. In addition to the software tools, careful manual inspection was necessary in both the extraction and analysis stages. As a result of the research, a total of 220 completely new anglicisms have been identified. Most of these new anglicisms are not yet included in existing Macedonian dictionaries.
Keywords: Anglicisms, anglicisms extraction, corpus linguistics, corpus analysis tools
Article history:
Submitted: 03 December 2024
Reviewed: 15 February 2025
Accepted: 08 March 2025
Published: 30 June 2025
Citation (APA):
Miloshevska, L. (2025). Extraction of anglicisms from a corpus of Macedonian magazine texts. English Studies at NBU, 11(1), 141-159. https://doi.org/10.33919/esnbu.25.1.8
Copyright © 2025 Lina Miloshevska
This is an Open Access article published and distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Funding:
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
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