Feature norms of German noun compounds

Abstract

This paper presents a new data collection of feature norms for 572 German noun-noun compounds. The feature norms complement existing data sets for the same targets, including compositionality ratings, association norms, and images. We demonstrate that the feature norms are potentially useful for research on the noun-noun compounds and their semantic transparency: The feature overlap of the compounds and their constituents correlates with human ratings on the compound-constituent degrees of compositionality, ρ = 0.46.