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  • Rayson IJCL v9

    Rights statement: This article has been accepted for publication in International Journal of Corpus Linguistics, Volume 13, Issue 4, 2008, pages: 519-549, © 2008 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.

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From key words to key semantic domains

Research output: Contribution to journalJournal article

Published
<mark>Journal publication date</mark>2008
<mark>Journal</mark>International Journal of Corpus Linguistics
Issue number4
Volume13
Number of pages31
Pages (from-to)519-549
<mark>State</mark>Published
<mark>Original language</mark>English

Abstract

This paper reports the extension of the key words method for the comparison of corpora. Using automatic tagging software that assigns part-of-speech and semantic field (domain) tags, a method is described which permits the extraction of key domains by applying the keyness calculation to tag frequency lists. The combination of the key words and key domains methods is shown to allow macroscopic analysis (the study of the characteristics of whole texts or varieties of language) to inform the microscopic level (focussing on the use of a particular linguistic feature) and thereby suggesting those linguistic features which should be investigated further. The resulting 'data-driven' approach presented here combines elements of both the 'corpus-based' and 'corpus-driven' paradigms in corpus linguistics. A web-based tool, Wmatrix, implementing the proposed method is applied in a case study: the comparison of UK 2001 general election manifestos of the Labour and Liberal Democratic parties.

Bibliographic note

This article has been accepted for publication in International Journal of Corpus Linguistics, Volume 13, Issue 4, 2008, pages: 519-549, © 2008 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.