Exploring word associations in academic engineering texts

Given the importance of lexis in language description, this study attempts to integrate the lexical approach to describe a specialised language for teaching and learning. In addition, this paper demonstrates the use of the correspondence analysis (CA), one of the multivariate techniques, as a usef...

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Main Authors:	Noorli Khamis, Imran Ho Abdullah
Format:	Article
Language:	English
Published:	Pusat Pengajian Bahasa dan Linguistik, FSSK, UKM 2015
Online Access:	http://journalarticle.ukm.my/8502/ http://journalarticle.ukm.my/8502/ http://journalarticle.ukm.my/8502/1/7911-22965-1-PB.pdf

id	ukm-8502
recordtype	eprints
spelling	ukm-85022016-12-14T06:47:22Z http://journalarticle.ukm.my/8502/ Exploring word associations in academic engineering texts Noorli Khamis, Imran Ho Abdullah, Given the importance of lexis in language description, this study attempts to integrate the lexical approach to describe a specialised language for teaching and learning. In addition, this paper demonstrates the use of the correspondence analysis (CA), one of the multivariate techniques, as a useful tool to describe a language. As such, this is a corpus-based study of verbs among academic engineering text types. A larger engineering corpus (E2C) was constructed by combining two specialised corpora, consisting of two text types, namely reference books (RBC) and journal articles (EJC). The Wordsmith 6 program was used to extract 30 key-key-verbs from E2C. The British National Corpus (BNC) was used as the reference corpus. The CA was conducted with these key-key-verbs by computing the frequency values of the verbs generated for each corpus: E2C, RBC, EJC and BNC. The findings include the visual display of the complex inter-relationship of the verbs among the corpora, thus, demonstrating the potential use of the CA as a tool for specialised language description. The empirical observations of the verbs may lead to significant findings on the features of the academic engineering texts types; thus, this study promises more well-informed future investigations into other linguistic features, rhetorical functions, and pedagogical implications involving the academic engineering texts. Pusat Pengajian Bahasa dan Linguistik, FSSK, UKM 2015 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/8502/1/7911-22965-1-PB.pdf Noorli Khamis, and Imran Ho Abdullah, (2015) Exploring word associations in academic engineering texts. 3L; Language,Linguistics and Literature,The Southeast Asian Journal of English Language Studies., 21 (1). pp. 117-131. ISSN 0128-5157 http://ejournal.ukm.my/3l/index
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Given the importance of lexis in language description, this study attempts to integrate the lexical approach to describe a specialised language for teaching and learning. In addition, this paper demonstrates the use of the correspondence analysis (CA), one of the multivariate techniques, as a useful tool to describe a language. As such, this is a corpus-based study of verbs among academic engineering text types. A larger engineering corpus (E2C) was constructed by combining two specialised corpora, consisting of two text types, namely reference books (RBC) and journal articles (EJC). The Wordsmith 6 program was used to extract 30 key-key-verbs from E2C. The British National Corpus (BNC) was used as the reference corpus. The CA was conducted with these key-key-verbs by computing the frequency values of the verbs generated for each corpus: E2C, RBC, EJC and BNC. The findings include the visual display of the complex inter-relationship of the verbs among the corpora, thus, demonstrating the potential use of the CA as a tool for specialised language description. The empirical observations of the verbs may lead to significant findings on the features of the academic engineering texts types; thus, this study promises more well-informed future investigations into other linguistic features, rhetorical functions, and pedagogical implications involving the academic engineering texts.
format	Article
author	Noorli Khamis, Imran Ho Abdullah,
spellingShingle	Noorli Khamis, Imran Ho Abdullah, Exploring word associations in academic engineering texts
author_facet	Noorli Khamis, Imran Ho Abdullah,
author_sort	Noorli Khamis,
title	Exploring word associations in academic engineering texts
title_short	Exploring word associations in academic engineering texts
title_full	Exploring word associations in academic engineering texts
title_fullStr	Exploring word associations in academic engineering texts
title_full_unstemmed	Exploring word associations in academic engineering texts
title_sort	exploring word associations in academic engineering texts
publisher	Pusat Pengajian Bahasa dan Linguistik, FSSK, UKM
publishDate	2015
url	http://journalarticle.ukm.my/8502/ http://journalarticle.ukm.my/8502/ http://journalarticle.ukm.my/8502/1/7911-22965-1-PB.pdf
first_indexed	2023-09-18T19:52:27Z
last_indexed	2023-09-18T19:52:27Z
_version_	1777406310306807808

Exploring word associations in academic engineering texts

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