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Specialised corpus development on aviation disasters news discourse

This paper provides a step-by-step explanation on how to develop a specialised corpus for MH370 and MH17 aviation disaster news discourse from countries affected by the disasters. The corpus is developed using online English news articles from Malaysia, China and the Netherlands. One of the objectiv...

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Main Authors: Shamsudin, S., Wan Md. Adnan, W. N
Format: Conference or Workshop Item
Published: 2019
Subjects:
HD28 Management. Industrial Management
Online Access:http://eprints.utm.my/id/eprint/90498/
http://dx.doi.org/10.1145/3345120.3345190
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spelling my.utm.904982021-04-29T23:27:52Z http://eprints.utm.my/id/eprint/90498/ Specialised corpus development on aviation disasters news discourse Shamsudin, S. Wan Md. Adnan, W. N HD28 Management. Industrial Management This paper provides a step-by-step explanation on how to develop a specialised corpus for MH370 and MH17 aviation disaster news discourse from countries affected by the disasters. The corpus is developed using online English news articles from Malaysia, China and the Netherlands. One of the objectives of this paper is to help other graduate students and novice researchers on guided steps in corpus development for corpus-based linguistics analysis. The focus of this paper is on the development of corpus in the aviation disasters news discourse. The detailed procedure includes three basic stages in forming specialised corpus. It is hoped that this procedure would be able to contribute to the basic understanding of corpus linguistics field, especially for novice researchers who wish to compile and develop their corpus using online materials. 2019 Conference or Workshop Item PeerReviewed Shamsudin, S. and Wan Md. Adnan, W. N (2019) Specialised corpus development on aviation disasters news discourse. In: 3rd International Conference on Education and Multimedia Technology, ICEMT 2019, 22-25 July 2019, Nagoya, Japan. http://dx.doi.org/10.1145/3345120.3345190
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Shamsudin, S.
Wan Md. Adnan, W. N
Specialised corpus development on aviation disasters news discourse
description This paper provides a step-by-step explanation on how to develop a specialised corpus for MH370 and MH17 aviation disaster news discourse from countries affected by the disasters. The corpus is developed using online English news articles from Malaysia, China and the Netherlands. One of the objectives of this paper is to help other graduate students and novice researchers on guided steps in corpus development for corpus-based linguistics analysis. The focus of this paper is on the development of corpus in the aviation disasters news discourse. The detailed procedure includes three basic stages in forming specialised corpus. It is hoped that this procedure would be able to contribute to the basic understanding of corpus linguistics field, especially for novice researchers who wish to compile and develop their corpus using online materials.
format Conference or Workshop Item
author Shamsudin, S.
Wan Md. Adnan, W. N
author_facet Shamsudin, S.
Wan Md. Adnan, W. N
author_sort Shamsudin, S.
title Specialised corpus development on aviation disasters news discourse
title_short Specialised corpus development on aviation disasters news discourse
title_full Specialised corpus development on aviation disasters news discourse
title_fullStr Specialised corpus development on aviation disasters news discourse
title_full_unstemmed Specialised corpus development on aviation disasters news discourse
title_sort specialised corpus development on aviation disasters news discourse
publishDate 2019
url http://eprints.utm.my/id/eprint/90498/
http://dx.doi.org/10.1145/3345120.3345190
_version_ 1698696944771137536
score 13.211869

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