15 years of collostructions
Stefan Τh. Gries · International Journal of Corpus Linguistics · 2019
Abstract 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 calledtupleization, 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.