Home > Research > Publications & Outputs > From key words to key semantic domains

Research

Associated organisational units

Electronic data

  • 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.

    Accepted author manuscript, 640 KB, PDF document

    Available under license: CC BY: Creative Commons Attribution 4.0 International License

Links

Text available via DOI:

Keywords

View graph of relations

From key words to key semantic domains

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

From key words to key semantic domains. / Rayson, P.
In: International Journal of Corpus Linguistics, Vol. 13, No. 4, 2008, p. 519-549.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Rayson, P 2008, 'From key words to key semantic domains', International Journal of Corpus Linguistics, vol. 13, no. 4, pp. 519-549. https://doi.org/10.1075/ijcl.13.4.06ray

APA

Rayson, P. (2008). From key words to key semantic domains. International Journal of Corpus Linguistics, 13(4), 519-549. https://doi.org/10.1075/ijcl.13.4.06ray

Vancouver

Rayson P. From key words to key semantic domains. International Journal of Corpus Linguistics. 2008;13(4):519-549. doi: 10.1075/ijcl.13.4.06ray

Author

Rayson, P. / From key words to key semantic domains. In: International Journal of Corpus Linguistics. 2008 ; Vol. 13, No. 4. pp. 519-549.

Bibtex

@article{e5f294fc9c24445685aa419b23e66a41,
title = "From key words to key semantic domains",
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.",
keywords = "cs_eprint_id, 2387 cs_uid, 355",
author = "P. Rayson",
note = "This article has been accepted for publication in International Journal of Corpus Linguistics, Volume 13, Issue 4, 2008, pages: 519-549, {\textcopyright} 2008 John Benjamins, the publisher should be contacted for permission to re-use the material in any form.",
year = "2008",
doi = "10.1075/ijcl.13.4.06ray",
language = "English",
volume = "13",
pages = "519--549",
journal = "International Journal of Corpus Linguistics",
issn = "1569-9811",
publisher = "John Benjamins Publishing Company",
number = "4",

}

RIS

TY - JOUR

T1 - From key words to key semantic domains

AU - Rayson, P.

N1 - 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.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - cs_eprint_id

KW - 2387 cs_uid

KW - 355

U2 - 10.1075/ijcl.13.4.06ray

DO - 10.1075/ijcl.13.4.06ray

M3 - Journal article

VL - 13

SP - 519

EP - 549

JO - International Journal of Corpus Linguistics

JF - International Journal of Corpus Linguistics

SN - 1569-9811

IS - 4

ER -