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Two different methodologies in the identification of recurrent word combinations in L2 writing
Stockholm University, Faculty of Humanities, Department of English.ORCID iD: 0000-0002-5009-440x
2015 (English)In: Lexical issues in L2 writing / [ed] Päivi Pietilä, Katalin Doró, Renata Pípalová, Cambridge Scholars Publishing, 2015, 177-205 p.Chapter in book (Refereed)
Abstract [en]

In this chapter, I bring together two studies addressing vocabulary in L2 English writing by Swedish students of English. The first study was based on written material by first-term students, while the second involved material from essays in the third- and fourth-term of English studies. In both studies a matched native group was used as a benchmark. I introduce two different ways of capturing frequent word combinations, one with a focus on collocations, applied in the first study, the other using the “lexical bundle” method (e.g., Biber & Barbieri, 2007; Cortes, 2004), applied in the second study. The results from both studies converge: the native groups exhibit a larger range of both collocations and lexical bundles compared to the non-native groups. The investigations involved quantitative analyses of the word combinations used, as well as a qualitative analysis of the functions they served. Finally, three current methodologies in the identification of multiword structures, including the two methodologies applied in the present study, are compared and evaluated in terms of qualitative aspects, such as size of material and control of task, topic, and discipline. 

Place, publisher, year, edition, pages
Cambridge Scholars Publishing, 2015. 177-205 p.
National Category
Languages and Literature
Research subject
English
Identifiers
URN: urn:nbn:se:su:diva-124383ISBN: 978-1-4438-8022-0 (print)OAI: oai:DiVA.org:su-124383DiVA: diva2:885688
Projects
Avancerad andraspråksanvändning
Funder
Riksbankens Jubileumsfond
Available from: 2015-12-20 Created: 2015-12-20 Last updated: 2017-05-24Bibliographically approved

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Cite
Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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