Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 5 - Exploring Corpora through Quantitative Measures

  • Susan Hunston, University of Birmingham
  • Book:
    Corpora in Applied Linguistics
    Published online:
    21 April 2022
    Print publication:
    05 May 2022, pp 116-142

  • Summary

    This is a ‘quantitative methods’ chapter. It explains the consequences of more advanced developments in quantitative corpus techniques. Two themes are developed. Firstly, some advanced measures improve the range of options available to researchers studying, for example, collocation or keyness. This shows that different measures may give different results. Secondly, some applications of statistical techniques allow the contents of a corpus to be rearranged, leading to novel insights. It is argued that these bottom-up approaches amount to quantitative ‘corpus-driven’ methods. Topics discussed in the chapter are keyness, collostructions, text clustering using lexical bundles and multidimensional analysis, and word clustering using principal component analysis and topic modelling.