Logistics Research Articles Written by Non-Native English Speakers: The Evidence From Corpus Tools
Logistics Research Articles Written by Non-Native English Speakers: The Evidence From Corpus Tools
Author(s): Prathomwat SuraprajitSubject(s): Language studies, Language and Literature Studies, Theoretical Linguistics, Lexis
Published by: Filološki fakultet, Nikšić
Keywords: Logistics research articles; Corpus tools; AntConc; Sketch Engine; ConcGram 1.0; RANGE
Summary/Abstract: The goal of this corpus-based study was to look at the word lists, collocations, and lexical bundles of logistics research articles (LRAs) in order to get a better understanding of the real English language used in the logistics area for both academic and specific purposes. The stated concerns were then investigated using four corpus tools: AntConc, Sketch Engine, ConcGram 1.0, and RANGE. A logistics journal was used to compile 21 LRAs at random. The findings revealed that the top list of words found in corpus tools differed. After that, each tool displayed a comparable list of the top 10 nouns. And the top list of lexical bundles was generated differently by each tool.
Journal: Folia Linguistica et Litteraria
- Issue Year: 2022
- Issue No: 42
- Page Range: 301-316
- Page Count: 16
- Language: English