Ferre-2012-380

concepticondata/conceptlists.tsv

@@ -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

concepticondata/conceptlists/DiezAlamo-2018-750.tsv

@@ -250,7 +250,7 @@ DiezAlamo-2018-750-248	248	YEGUA	mare	MARE	938	4.75	7.32	1.625	4.80769230769231
 DiezAlamo-2018-750-249	249	ZANAHORIA	carrot	CARROT	3085	6.5	1.96	7.625	1.69230769230769	1.64516129032258	6.375	4.28	6.03333333333333	6.667	6.477	Verduras (A vegetable)
 DiezAlamo-2018-750-250	250	ZAPATO	shoe	SHOE	1381	4.36363636363636	4.96	7.66666666666667	3.53846153846154	2.74193548387097	1.75	4.32	6.27118644067797	6.48	5.636	Tipos de calzado (A type of footgear)
 DiezAlamo-2018-750-251	251	AVIÓN	airplane	AIRPLANE	1597	3.70833333333333	7	1.38461538461538	4.04166666666667	7.25	2.125	2.70833333333333		6.249	5.81	Vehículos (A type of vehicle)
-DiezAlamo-2018-750-252	252	CAIMÁN	alligator	ALLIGATOR	1581	5.70833333333333	6.88461538461539	2.23076923076923	6.58333333333333	3.66666666666667	2.875	3.70833333333333				Animales de cuatro patas (A four-footed animal)
+DiezAlamo-2018-750-252	252	CAIMÁN	alligator	CAIMAN	2438	5.70833333333333	6.88461538461539	2.23076923076923	6.58333333333333	3.66666666666667	2.875	3.70833333333333				Animales de cuatro patas (A four-footed animal)
 DiezAlamo-2018-750-253	253	AMBULANCIA	ambulance	AMBULANCE	4013	5.54166666666667	6.76923076923077	1.57692307692308	2.875	6.25	1.875	2.875				Vehículos (A type of vehicle)
 DiezAlamo-2018-750-254	254	HORMIGA	ant	ANT	587	4.25	7.34615384615385	7.19230769230769	1.875	1.125	2	1.25		6.551	6.508	Insectos (An insect)
 DiezAlamo-2018-750-255	255	APARTAMENTO	apartment	APARTMENT	4149	3.41666666666667	1.61538461538462	1.34615384615385	1.5	2.83333333333333	2.25	3.66666666666667		5.795	5.619	Tipos de viviendas (A type of human dwelling)