Feature-based descriptions of concepts produced by subjects in a property generation task are widely used in cognitive science to develop empirically grounded concept representations and to study systematic trends in such repre- sentations. This article introduces BLIND, a collection of parallel semantic norms collected from a group of congenital- ly blind Italian subjects and comparable sighted subjects. The BLIND norms comprise descriptions of 50 nouns and 20 verbs. All the materials have been semantically annotated and translated into English, to make them easily accessible to the scientific community. The article also presents a pre- liminary analysis of the BLIND data that highlights both the large degree of overlap between the groups and interesting differences. The complete BLIND norms are freely available and can be downloaded from http://sesia.humnet.unipi.it/ blind_data

BLIND: a set of semantic feature norms from the congenitally blind

LENCI, ALESSANDRO;MAROTTA, GIOVANNA
2013

Abstract

Feature-based descriptions of concepts produced by subjects in a property generation task are widely used in cognitive science to develop empirically grounded concept representations and to study systematic trends in such repre- sentations. This article introduces BLIND, a collection of parallel semantic norms collected from a group of congenital- ly blind Italian subjects and comparable sighted subjects. The BLIND norms comprise descriptions of 50 nouns and 20 verbs. All the materials have been semantically annotated and translated into English, to make them easily accessible to the scientific community. The article also presents a pre- liminary analysis of the BLIND data that highlights both the large degree of overlap between the groups and interesting differences. The complete BLIND norms are freely available and can be downloaded from http://sesia.humnet.unipi.it/ blind_data
Lenci, Alessandro; Baroni, Marco; Cazzolli, Giulia; Marotta, Giovanna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/209151
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