Keywords: Language, semantics, semantic memory, feature listing, normative data
In this paper we describe a corpus of normative data on the semantic representations of 64 concepts corresponding to concrete Italian words. The items comprised in our database were chosen in order to include an equal number of living and nonliving concepts, in particular words were drawn from the semantic categories of fruits, animals, furniture and vehicles. Each word was administered for a feature listing task to 30 Italian speaking university students. The collected data were analysed and values of "semantic distance" between concepts, "feature dominance" and "feature correlation" were computed. The entire database can be freely downloaded from the website of the S. Lucia Foundation (www.hsantalucia.it).