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Much recent work in Cognitive Linguistics and neighbouring disciplines has  adopted a so-called usage-based perspective in which generalizations are based  on the analysis of authentic usage data provided by computerized corpora.  However, the analysis of such data does not always utilize methodological  findings from other disciplines to avoid analytical pitfalls and, at the same  time, generate robust results. A case in point is the strategy of using corpus  frequencies. In this paper, we take up a recently much debated issue from  construction grammar concerning the association between verbs and  argument-structure constructions, and investigate a construction, the English   as -predicative, in order  to test the predictive power of different kinds of frequency data against that  of a recent, more refined corpus-based approach, the so-called collexeme  analysis. To that end, the results of the application of these corpus-based  approaches to an analysis of the  aspredicative are compared  with the results of a sentence-completion experiment. Concerning the topic under  consideration, collexeme analysis is not only shown to be superior on a variety  of theoretical and methodological grounds, it also significantly outperforms  frequency as a predictor of subjects’ production preferences. We conclude by  pointing out some implications for usage-based approaches.

Converging evidence: Bringing together experimental and corpus data on the association of verbs and constructions