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Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu

There have been longstanding attempts to establish frequency profiles of words which are specific to academic register in order to facilitate learners in composing fluent academic writing. A more noteworthy effort was by Coxhead who proposed the Academic Word List (Coxhead, 2000). Recent devel...

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Main Authors: Ang, Leng Hong, He, Mengyu
Format: Article
Language:English
Published: Universiti Teknologi MARA, Kedah 2017
Subjects:
P Philology. Linguistics
PE English language
Online Access:http://ir.uitm.edu.my/id/eprint/30285/1/AJ_ANG%20LENG%20HONG%20CPLT%20K%2017.pdf
http://ir.uitm.edu.my/id/eprint/30285/
https://cplt.uitm.edu.my/
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spelling my.uitm.ir.302852020-05-04T01:52:36Z http://ir.uitm.edu.my/id/eprint/30285/ Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu Ang, Leng Hong He, Mengyu P Philology. Linguistics PE English language There have been longstanding attempts to establish frequency profiles of words which are specific to academic register in order to facilitate learners in composing fluent academic writing. A more noteworthy effort was by Coxhead who proposed the Academic Word List (Coxhead, 2000). Recent developments in the field have increasingly regarded multi-word sequences such as lexical phrases, lexical bundles, formulas and clusters as crucially important and functionally significant in the academic contexts (Simpson-Vlach & Ellis, 2010). The present study adopts a corpus-based approach to identify a type of multi-word sequence, i.e., lexical bundles in student academic writing. Lexical bundles retrieved from a corpus of Asian college student essays and a corpus of British university-level student writing are identified, analysed and compared using corpus-linguistic techniques. The results of the analysis show that certain lexical bundles share the same keywords. This keyword sharing characteristic suggests that lexical bundles are internally analysable although they are initially retrieved as continuous strings of words. Besides, there is no significant difference in the functional use of lexical bundles between the Asian learners and British native students. However, both Asian learners and British university students are found to prefer different types of lexical bundles. Simpson- Vlach and Ellis’s (2010) functional classification taxonomy (e.g., referential expressions, stance expressions, discourse organising functions) is used to categorise and analyse the items functionally. Finally this paper discusses the pedagogical implications drawn from the analysis. Universiti Teknologi MARA, Kedah 2017 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/30285/1/AJ_ANG%20LENG%20HONG%20CPLT%20K%2017.pdf Ang, Leng Hong and He, Mengyu (2017) Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu. Journal of Creative Practices in Language Learning and Teaching (CPLT), 5 (1). pp. 19-33. ISSN 1823-464X https://cplt.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic P Philology. Linguistics
PE English language
spellingShingle P Philology. Linguistics
PE English language
Ang, Leng Hong
He, Mengyu
Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu
description There have been longstanding attempts to establish frequency profiles of words which are specific to academic register in order to facilitate learners in composing fluent academic writing. A more noteworthy effort was by Coxhead who proposed the Academic Word List (Coxhead, 2000). Recent developments in the field have increasingly regarded multi-word sequences such as lexical phrases, lexical bundles, formulas and clusters as crucially important and functionally significant in the academic contexts (Simpson-Vlach & Ellis, 2010). The present study adopts a corpus-based approach to identify a type of multi-word sequence, i.e., lexical bundles in student academic writing. Lexical bundles retrieved from a corpus of Asian college student essays and a corpus of British university-level student writing are identified, analysed and compared using corpus-linguistic techniques. The results of the analysis show that certain lexical bundles share the same keywords. This keyword sharing characteristic suggests that lexical bundles are internally analysable although they are initially retrieved as continuous strings of words. Besides, there is no significant difference in the functional use of lexical bundles between the Asian learners and British native students. However, both Asian learners and British university students are found to prefer different types of lexical bundles. Simpson- Vlach and Ellis’s (2010) functional classification taxonomy (e.g., referential expressions, stance expressions, discourse organising functions) is used to categorise and analyse the items functionally. Finally this paper discusses the pedagogical implications drawn from the analysis.
format Article
author Ang, Leng Hong
He, Mengyu
author_facet Ang, Leng Hong
He, Mengyu
author_sort Ang, Leng Hong
title Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu
title_short Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu
title_full Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu
title_fullStr Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu
title_full_unstemmed Multi-word Sequences in Learner Corpora: A Corpus Analysis of Lexical Bundles / Ang Leng Hong and He Mengyu
title_sort multi-word sequences in learner corpora: a corpus analysis of lexical bundles / ang leng hong and he mengyu
publisher Universiti Teknologi MARA, Kedah
publishDate 2017
url http://ir.uitm.edu.my/id/eprint/30285/1/AJ_ANG%20LENG%20HONG%20CPLT%20K%2017.pdf
http://ir.uitm.edu.my/id/eprint/30285/
https://cplt.uitm.edu.my/
_version_ 1685650634025467904
score 13.211869

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