PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A set of semantic norms for German and Italian
Gerhard Kremer and Marco Baroni
Behavior Research Methods Volume 43, Number 1, pp. 97-109, 2011.

Abstract

The psychological community frequently investigates semantic norms of properties produced by native speakers after being presented concept words; and these norms are of great value for a wide variety of psychological experiments. This paper presents a new set of norms that includes a collection of properties from a production experiment for the German and the Italian language. Stimuli consisted of 50 concrete objects taken from 10 dierent concept classes. The data comprises annotations of semantic relation types and several statistical measures, which facilitate the comparison of the two target languages.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:8488
Deposited By:Sebastian Pado
Deposited On:16 February 2012