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Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing

The issue of specificity in English for Academic Purposes (EAP) settings has always challenged linguists and instructors in the field to take a stance on how language should be perceived, that is whether language forms and features are transferable across different academic disciplines or are spec...

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Main Authors: Ang, Leng Hong, Tan, Kim Hua
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/12888/1/24681-78323-2-PB.pdf
http://journalarticle.ukm.my/12888/
http://ejournal.ukm.my/3l/issue/view/1096
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spelling my-ukm.journal.128882019-05-12T21:58:52Z http://journalarticle.ukm.my/12888/ Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing Ang, Leng Hong Tan, Kim Hua The issue of specificity in English for Academic Purposes (EAP) settings has always challenged linguists and instructors in the field to take a stance on how language should be perceived, that is whether language forms and features are transferable across different academic disciplines or are specific to particular disciplines. This study intends to take this debate a step further by employing a corpus-driven method in identifying a type of phraseological sequence, namely lexical bundles in a corpus of journal articles in the field of International Business Management (IBM). The lexical bundles were compared with those compiled by Simpson-Vlach and Ellis (2010) in their study of Academic Formulas List (AFL) to determine the specificity of the lexical bundles identified in this study. Following frequency-based approach, the corpus tool, Collocate 1.0 was used to extract three- to five-word sequences. These word sequences were manually filtered to exclude irrelevant and meaningless combinations. The qualified lexical bundles were compiled and compared with lexical bundles in AFL (Simpson-Vlach and Ellis 2010) using log-likelihood test. The findings show that three-word lexical bundles are the most common types of lexical bundles in IBM corpus. The comparison reveals that lexical bundles in IBM corpus are relatively specific as compared with lexical bundles in AFL. A discipline-specific approach to the teaching and learning of lexical bundles in EAP settings is therefore advocated to enhance EAP syllabuses and instruction. Penerbit Universiti Kebangsaan Malaysia 2018 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12888/1/24681-78323-2-PB.pdf Ang, Leng Hong and Tan, Kim Hua (2018) Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing. 3L; Language,Linguistics and Literature,The Southeast Asian Journal of English Language Studies., 24 (2). pp. 82-94. ISSN 0128-5157 http://ejournal.ukm.my/3l/issue/view/1096
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description The issue of specificity in English for Academic Purposes (EAP) settings has always challenged linguists and instructors in the field to take a stance on how language should be perceived, that is whether language forms and features are transferable across different academic disciplines or are specific to particular disciplines. This study intends to take this debate a step further by employing a corpus-driven method in identifying a type of phraseological sequence, namely lexical bundles in a corpus of journal articles in the field of International Business Management (IBM). The lexical bundles were compared with those compiled by Simpson-Vlach and Ellis (2010) in their study of Academic Formulas List (AFL) to determine the specificity of the lexical bundles identified in this study. Following frequency-based approach, the corpus tool, Collocate 1.0 was used to extract three- to five-word sequences. These word sequences were manually filtered to exclude irrelevant and meaningless combinations. The qualified lexical bundles were compiled and compared with lexical bundles in AFL (Simpson-Vlach and Ellis 2010) using log-likelihood test. The findings show that three-word lexical bundles are the most common types of lexical bundles in IBM corpus. The comparison reveals that lexical bundles in IBM corpus are relatively specific as compared with lexical bundles in AFL. A discipline-specific approach to the teaching and learning of lexical bundles in EAP settings is therefore advocated to enhance EAP syllabuses and instruction.
format Article
author Ang, Leng Hong
Tan, Kim Hua
spellingShingle Ang, Leng Hong
Tan, Kim Hua
Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing
author_facet Ang, Leng Hong
Tan, Kim Hua
author_sort Ang, Leng Hong
title Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing
title_short Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing
title_full Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing
title_fullStr Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing
title_full_unstemmed Specificity in English for Academic Purposes (EAP): a corpus analysis of lexical bundles in academic writing
title_sort specificity in english for academic purposes (eap): a corpus analysis of lexical bundles in academic writing
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://journalarticle.ukm.my/12888/1/24681-78323-2-PB.pdf
http://journalarticle.ukm.my/12888/
http://ejournal.ukm.my/3l/issue/view/1096
_version_ 1643738918058721280
score 13.211869

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