Logistics Research Articles Written by Non-Native English Speakers

The Evidence From Corpus Tools

Bibliographic Data

ID22327014
AuthorsPrathomwat Suraprajit (0009-0002-4889-9759, Kasetsart University, corresponding author)
Year2022
Volume13
Issue42
Pages301-316
Publication date2022-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFolia linguistica et litteraria (JOURNAL)
Journal identifiersISSN: 1800-8542 • E-ISSN: 2337-0955
PublisherFaculty of Philology - University of Montenegro (PUBLISHER)
DOI10.31902/fll.42.2022.19
OpenAlexW4322097714
LanguageEN
References cited10

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

Corpus linguistics · Linguistics · Natural language processing · Noun · Sketch · Word list · Computer Science · linguistics and terminology studies · Artificial Intelligence

Tools

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