LOGISTICS RESEARCH ARTICLES WRITTEN BY NON-NATIVE ENGLISH SPEAKERS: THE EVIDENCE FROM CORPUS TOOLS

被引：0

作者：

Suraprajit, Prathomwat ^{[1
]}

机构：

[1] Kasetsart Univ, Fac Management Sci, Bangkok, Thailand

来源：

FOLIA LINGUISTICA ET LITTERARIA | 2022年 / 42期

关键词：

Logistics research articles; Corpus tools; AntConc; Sketch Engine; Conc-Gram; 1; 0; RANGE; LEXICAL BUNDLES; ACADEMIC VOCABULARY; COLLOCATIONS; DRIVEN; WORDS; LIST;

D O I：

10.31902/fll.42.2022.19

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

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 under-standing 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.

引用

页码：301 / 316

页数：16

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