In this paper, we offer an overview of available category
norms and of methodology of their creation. In the second part of the paper, category norms for
12 categories in Czech are presented (i.e. an alcoholic beverage, a colour, a crime, a four-legged animal,
a fruit, a metal, a part of the human body, a relative, a sport, a type of vehicle, a toy, a weapon).
These norms are then analysed in relation with linguistic frequency and token length. The problems
of correlating linguistic frequency which is based on corpus data with associative frequency which
is based on category norms are discussed. Preliminarily, it seems that the members of more constrained
categories are in a closer relation to each other and activate each other more strongly than
members of more open categories. This can be explained based on the principles of the Spreading
Activation Theory of Semantic Processing (Collins — Loftus, 1975)