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Type :Article
ISBN :2502-4752
Main Author :Norfaizah Binti Abdul Jobar, Md Zahril Nizam bin Md Yusoff, Hanifah binti Mahat
Title :Exploring corpus linguistics via computational tool analysis: key finding review
Hits :20
Place of Production :Tanjung Malim
Publisher :Fakulti Bahasa dan Komunikasi
Year of Publication :2024
Notes :Indonesian Journal of Electrical Engineering and Computer Science
Corporate Name :Universiti Pendidikan Sultan Idris
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Abstract : Universiti Pendidikan Sultan Idris
Corpus linguistics investigates language using extensive text databases. Tools assist researchers in analyzing, extracting, and interpreting linguistic information efficiently. Furthermore, if researchers only use traditional tools in corpus linguistic analysis, they will lack the comprehensiveness and efficiency required to effectively navigate and derive valuable insights from language data. This paper employed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) approach to find the primary data based on a few keywords in corpus linguistic, corpus analysis, computational linguistic, text corpora and tool support. Based on this method, we used advanced searching techniques on Scopus and Web of Science (WoS) and discovered (N=28) data pertinent to the study. Expert scholars decide on a theme based on the problem, which is (i) types of corpus tools and their uses; (ii) their contributions and their capabilities, and (iii) limitations of corpus tools. All the tools were used in interdisciplinary studies. In summary, this systematic review uncovers pivotal key findings at the intersection of computational tools and corpus analysis, enriching linguistic knowledge. It highlights the interdisciplinary potential of corpus-based analysis in advancing linguistic tools and, their applications, as well as language analysis. © 2024 Institute of Advanced Engineering and Science. All rights reserved.
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