Article published in:Constructions in Applied Linguistics
Edited by Susan Hunston and Florent Perek
[International Journal of Corpus Linguistics 24:3] 2019
► pp. 385–412
15 years of collostructions
Some long overdue additions/corrections (to/of actually all sorts of corpus-linguistics measures)
This paper discusses a variety of potential shortcomings of most of the most widely-used association measures as used in collocation research and collostructional analyses. To address these shortcomings, I then discuss a research program called tupleization, an approach that does away with the usual kinds of information conflation by keeping relevant corpus-linguistic dimensions of information – e.g. frequency, association/contingency, dispersion, entropy, etc. – separate and analyzing them in a multidimensional way; I conclude with pointers towards how these dimensions could, if deemed absolutely necessary, be conflated for the simplest kinds of of rankings as well as strategies for future research.
Keywords: collostructional analysis, tupleization
Published online: 27 August 2019
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Cited by 3 other publications
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