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3 - Learning from a Corpus

Finding Pattern in Concordance Lines

Published online by Cambridge University Press:  21 April 2022

Susan Hunston
Affiliation:
University of Birmingham
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Summary

This is a ‘qualitative methods’ chapter. It is about interpreting and gaining information from concordance lines, and demonstrates different interpretations of the concept of ‘pattern’. The chapter emphasises and illustrates the essential link between phraseology and meaning. It also demonstrates the non-obvious meaning that accrues from seeing corpus data presented as concordance lines. The chapter then discusses types of patterns: the basic concept of observed regularity and how to handle possible competing descriptions; the more restricted notions of grammar patterns and local grammar; two extensive descriptions that utilise the pattern-meaning connection: Framenet and the Pattern Dictionary of English Verbs. The chapter ends with a discussion of identifying ‘what is often said’ and how this is different from the concept of ‘what the language is like’.

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Publisher: Cambridge University Press
Print publication year: 2022

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  • Learning from a Corpus
  • Susan Hunston, University of Birmingham
  • Book: Corpora in Applied Linguistics
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108616218.003
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  • Learning from a Corpus
  • Susan Hunston, University of Birmingham
  • Book: Corpora in Applied Linguistics
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108616218.003
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Learning from a Corpus
  • Susan Hunston, University of Birmingham
  • Book: Corpora in Applied Linguistics
  • Online publication: 21 April 2022
  • Chapter DOI: https://doi.org/10.1017/9781108616218.003
Available formats
×