The Centre for Speech, Language and the Brain (CSLB) concept property norms

Barry J. Devereux, Lorraine K. Tyler, Jeroen Geertzen, Billi Randall

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)
190 Downloads (Pure)


Theories of the representation and processing of concepts have been greatly enhanced by models based on information available in semantic property norms. This information relates both to the identity of the features produced in the norms and to their statistical properties. In this article, we introduce a new and large set of property norms that are designed to be a more flexible tool to meet the demands of many different disciplines interested in conceptual knowledge representation, from cognitive psychology to computational linguistics. As well as providing all features listed by 2 or more participants, we also show the considerable linguistic variation that underlies each normalized feature label and the number of participants who generated each variant. Our norms are highly comparable with the largest extant set (McRae, Cree, Seidenberg, & McNorgan, 2005) in terms of the number and distribution of features. In addition, we show how the norms give rise to a coherent category structure. We provide these norms in the hope that the greater detail available in the Centre for Speech, Language and the Brain norms should further promote the development of models of conceptual knowledge. The norms can be downloaded at

Original languageEnglish
Pages (from-to)1119-1127
Number of pages9
JournalBehavior Research Methods
Issue number4
Publication statusPublished - 01 Dec 2014
Externally publishedYes


  • concepts
  • features
  • property norms
  • semantics
  • object processing

ASJC Scopus subject areas

  • Medicine(all)


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