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A constructicon, i.e., a structured inventory of constructions, essentially aims at documenting functions of lexical and grammatical constructions. Among other parameters, so-called constructional collo-profiles, as introduced by Herbst ( 2018 ,  2020 ), are conclusive for determining constructional meanings. They provide information on how relevant individual words are for construction slots, they hint at usage preferences of constructions and serve as a helpful indicator for semantic peculiarities of constructions. However, even though collo-profiles constitute an indispensable component of constructicon entries, they pose major challengers for constructicographers: For a constructicographic enterprise it is not feasible to conduct collostructional analyses for hundreds or even thousands of constructions. In this article, we introduce a procedure based on the large language model BERT that allows to predict collo-profiles without having to extensively annotate instances of constructions in a given corpus. Specifically, by discussing the constructions   X macht Y ADJP  (‘x makes Y ADJ’,  e.g.  he drives him crazy) and  N 1  PREP N 1   (e.g., bumper to bumper, constructions over constructions),  we show how the developed automated system generates collo-profiles based on a limited number of annotated instances. Finally, we place collo-profiles alongside other dimensions of constructional meanings included in the German Constructicon.

Dimensions of constructional meanings in the German Constructicon: Why collo-profiles matter