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3 changes: 2 additions & 1 deletion concepticondata/conceptlists.tsv
Original file line number Diff line number Diff line change
Expand Up @@ -478,4 +478,5 @@ Guenther-2022-30 Günther, Fritz and Rinaldi, Luca 2022 30 norms English global
Oswalt-1971-100 Oswalt, Robert L. 1971 100 basic, relations English Athapaskan, Pomo, Eastern Austronesian, Japanese, Coast Salish https://www.jstor.org/stable/30029088 Oswalt1971 This list contains combined and individual Referential Similarity Index (RSI) values calculated across multiple linguistic families: Athapaskan, Pomo, Eastern Austronesian, Japanese and Coast Salish. Instead of averaging the family-level RSI scores, the combined value is calculated by first adding up the families’ underlying values and only then computing the final index. This means larger and more internally diverse families contribute more to the result than smaller ones. 421-434
Khalid-2020-200 Khalid, Zoya 2020 200 basic English Asur https://aclanthology.org/2020.icon-main.6.pdf Khalid2020 This list of 200 words covers some basic lexical items for the language Asur (or Asuri). 45-47
Matter-2021-96 Matter, Florian 2021 96 basic English Cariban https://boristheses.unibe.ch/7050/ Matter2021 This list was used for a comparative database on Cariban languages. It is broadly based on the [Swadesh-1960-100a](:ref:Swadesh-1960-100a) list, but lacks some concepts and replaced others (dog > jaguar, although they are often colexified). 423-520
McRae-2005-541 McRae, Ken and Cree, George S. and Seidenberg, Mark S. and McNorgan, Chris 2005 541 ratings, relations English English https://doi.org/10.3758/BF03192726 McRae2005 This list of 541 objects contains familiarity ratings and semantic feature ratings given by 725 participants. The semantic features are divided into several categories: total number of features, functional, sensorimotor (visual-motor, visual form and surface, visual color, auditory, gustatory, olfactory, haptic) and encyclopedic features ("corresponding to all other knowledge types", f.e. where the object is from). The ratings are given as the total number of features belonging to a category. The original dataset further includes frequency measures from [Kučera & Francis (1967)](:bib:Kucera1967) as well as from the British National Corpus [(BNC 2001)](:bib:BNC2001) and a distinction including/excluding taxonomic features. Here, only the total number of features including taxonomic features is used from this particular set. 547-559
McRae-2005-541 McRae, Ken and Cree, George S. and Seidenberg, Mark S. and McNorgan, Chris 2005 541 ratings, relations English English https://doi.org/10.3758/BF03192726 McRae2005 This list of 541 objects contains familiarity ratings and semantic feature ratings given by 725 participants. The semantic features are divided into several categories: total number of features, functional, sensorimotor (visual-motor, visual form and surface, visual color, auditory, gustatory, olfactory, haptic) and encyclopedic features ("corresponding to all other knowledge types", f.e. where the object is from). The ratings are given as the total number of features belonging to a category. The original dataset further includes frequency measures from [Kučera & Francis (1967)](:bib:Kucera1967) as well as from the British National Corpus [(BNC 2001)](:bib:BNC2001) and a distinction including/excluding taxonomic features. Here, only the total number of features including taxonomic features is used from this particular set. 547-559
Ferre-2012-380 Ferré, Pilar and Guasch, Marc and Moldovan, Cornelia and Sánchez-Casas, Rosa 2012 380 ratings Spanish https://doi.org/10.3758/s13428-011-0165-x Ferre2012 This list of 380 nouns contains 119 words referring to animals, 124 words that refer to people and 137 words that refer to objects. Affective ratings for valence, arousal, concreteness and familiarity were given on a 9-point scale (1 = completely sad/calm/very abstract/rarely found in everyday language, 9 = completely happy/excited/very concrete/almost always found in everyday language). Additionally, frequency measures were obtained from LEXESP [(Sebastián et al. 2000)](:bib:Sebastian2000). 395-403
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