TY - CONF
T1 - Keyness: Appropriate metrics and practical issues
AU - Gabrielatos, Costas
AU - Marchi, Anna
N1 - This is a revised version of:
Gabrielatos, C. & Marchi, A. (2011). Keyness: Matching metrics to definitions. Invited presentation. Corpus Linguistics in the South: Theoretical-methodological challenges in corpus approaches to discourse studies - and some ways of addressing them. University of Portsmouth, 5 November 2011. [http://repository.edgehill.ac.uk/4100/]
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Gabrielatos, C. & Marchi, A. (2011). Keyness: Matching metrics to definitions. Invited presentation. Corpus Linguistics in the South: Theoretical-methodological challenges in corpus approaches to discourse studies - and some ways of addressing them. University of Portsmouth, 5 November 2011.
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PY - 2012
Y1 - 2012
N2 - In this paper we examine the definitions of two widely-used interrelated constructs in corpus linguistics, keyness and keywords, as presented in the literature and corpus software manuals. In particular, we focus on
a. the consistency of definitions given in different sources;
b. the metrics used to calculate the level of keyness;
c. the compatibility between definitions and metrics.
Our survey of studies employing keyword analysis has indicated that the vast majority of studies examine a subset of keywords – almost always the top X number of keywords as ranked by the metric used. This renders the issue of the appropriate metric central to any study using keyword analysis.
In this study, we first argue that an appropriate, and therefore useful, metric for keyness needs to be fully consistent with the definition of keyword. We then use four sets of comparisons between corpora of different types and sizes, in order to test whether and to what extent the use of different metrics affects the ranking of keywords. More precisely, we look at the extent of overlap in the keyword rankings resulting from the adoption of different metrics, and we discuss the implications of ranking-based analysis adopting one metric or another. Finally, we propose a new metric for keyness, and demonstrate a simple way to calculate the metric, which supplements the keyword extraction in existing corpus software.
AB - In this paper we examine the definitions of two widely-used interrelated constructs in corpus linguistics, keyness and keywords, as presented in the literature and corpus software manuals. In particular, we focus on
a. the consistency of definitions given in different sources;
b. the metrics used to calculate the level of keyness;
c. the compatibility between definitions and metrics.
Our survey of studies employing keyword analysis has indicated that the vast majority of studies examine a subset of keywords – almost always the top X number of keywords as ranked by the metric used. This renders the issue of the appropriate metric central to any study using keyword analysis.
In this study, we first argue that an appropriate, and therefore useful, metric for keyness needs to be fully consistent with the definition of keyword. We then use four sets of comparisons between corpora of different types and sizes, in order to test whether and to what extent the use of different metrics affects the ranking of keywords. More precisely, we look at the extent of overlap in the keyword rankings resulting from the adoption of different metrics, and we discuss the implications of ranking-based analysis adopting one metric or another. Finally, we propose a new metric for keyness, and demonstrate a simple way to calculate the metric, which supplements the keyword extraction in existing corpus software.
KW - corpus linguistics
KW - keyness
KW - keywords
KW - metrics
KW - frequency difference
KW - effect size
KW - statistical significance
M3 - Paper
T2 - Corpus-assisted Discourse Studies International Conference
Y2 - 13 September 2012 through 14 September 2012
ER -