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ProtAnt: A tool for analysing the prototypicality of texts

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ProtAnt : A tool for analysing the prototypicality of texts. / Anthony, Laurence; Baker, Paul.

In: International Journal of Corpus Linguistics, Vol. 20, No. 3, 31.01.2015, p. 273-292.

Research output: Contribution to journalReview articlepeer-review

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Anthony, L & Baker, P 2015, 'ProtAnt: A tool for analysing the prototypicality of texts', International Journal of Corpus Linguistics, vol. 20, no. 3, pp. 273-292. https://doi.org/10.1075/ijcl.20.3.01ant

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Anthony, Laurence ; Baker, Paul. / ProtAnt : A tool for analysing the prototypicality of texts. In: International Journal of Corpus Linguistics. 2015 ; Vol. 20, No. 3. pp. 273-292.

Bibtex

@article{eed7f2bd85ae46fdb09ceedfb15af4ca,
title = "ProtAnt: A tool for analysing the prototypicality of texts",
abstract = "Corpus-based researchers and traditional qualitative researchers, such as those interested in critical discourse analysis, are often required to select prototypical texts for close reading that include the language features of interest that are present in a much larger corpus. Traditional approaches to this selection procedure have been largely ad hoc. In this paper, we offer a more principled way of selecting texts for close reading based on a ranking of texts in terms of the number of keywords they contain. To facilitate this analysis, we have developed a multiplatform, freeware software tool called ProtAnt that analyses the texts, generates a ranked list of keywords based on statistical significance and effect size, and then orders the texts by the number of keywords in them. We describe various experiments that demonstrate the ProtAnt analysis is effective not only at identifying prototypical texts, but also identifying outlier texts that may need to be removed from a target corpus.",
keywords = "Critical discourse analysis, Keywords, ProtAnt, Prototypicality, Qualitative research",
author = "Laurence Anthony and Paul Baker",
year = "2015",
month = jan,
day = "31",
doi = "10.1075/ijcl.20.3.01ant",
language = "English",
volume = "20",
pages = "273--292",
journal = "International Journal of Corpus Linguistics",
issn = "1384-6655",
publisher = "John Benjamins Publishing Company",
number = "3",

}

RIS

TY - JOUR

T1 - ProtAnt

T2 - A tool for analysing the prototypicality of texts

AU - Anthony, Laurence

AU - Baker, Paul

PY - 2015/1/31

Y1 - 2015/1/31

N2 - Corpus-based researchers and traditional qualitative researchers, such as those interested in critical discourse analysis, are often required to select prototypical texts for close reading that include the language features of interest that are present in a much larger corpus. Traditional approaches to this selection procedure have been largely ad hoc. In this paper, we offer a more principled way of selecting texts for close reading based on a ranking of texts in terms of the number of keywords they contain. To facilitate this analysis, we have developed a multiplatform, freeware software tool called ProtAnt that analyses the texts, generates a ranked list of keywords based on statistical significance and effect size, and then orders the texts by the number of keywords in them. We describe various experiments that demonstrate the ProtAnt analysis is effective not only at identifying prototypical texts, but also identifying outlier texts that may need to be removed from a target corpus.

AB - Corpus-based researchers and traditional qualitative researchers, such as those interested in critical discourse analysis, are often required to select prototypical texts for close reading that include the language features of interest that are present in a much larger corpus. Traditional approaches to this selection procedure have been largely ad hoc. In this paper, we offer a more principled way of selecting texts for close reading based on a ranking of texts in terms of the number of keywords they contain. To facilitate this analysis, we have developed a multiplatform, freeware software tool called ProtAnt that analyses the texts, generates a ranked list of keywords based on statistical significance and effect size, and then orders the texts by the number of keywords in them. We describe various experiments that demonstrate the ProtAnt analysis is effective not only at identifying prototypical texts, but also identifying outlier texts that may need to be removed from a target corpus.

KW - Critical discourse analysis

KW - Keywords

KW - ProtAnt

KW - Prototypicality

KW - Qualitative research

U2 - 10.1075/ijcl.20.3.01ant

DO - 10.1075/ijcl.20.3.01ant

M3 - Review article

AN - SCOPUS:84940649944

VL - 20

SP - 273

EP - 292

JO - International Journal of Corpus Linguistics

JF - International Journal of Corpus Linguistics

SN - 1384-6655

IS - 3

ER -