PublikationerI urval från Stockholms universitets publikationsdatabas
Artikel Two kinds of pink2015. Susanne Vejdemo (et al.). Language sciences (Oxford) 49, 19-34
This article traces the birth of two different pink categories in western Europe and the lexicalization strategies used for these categories in English, German, Bernese, Danish, Swedish, Norwegian and Icelandic with the cognate sets pink, rosa, bleikur, lyserod, ceris. In the 18th century, a particular shade of light red established itself in the cultural life of people in Western Europe, earning its own independent colour term. In the middle of the 20th century, a second pink category began to spread in a subset of the languages. Contemporary experimental data from the Evolution of Semantic Systems colour project (Majid et al., 2011) is analysed in light of the extant historical data on the development of these colour terms. We find that the current pink situation arose through contact-induced lexical and conceptual change. Despite the different lexicalization strategies, the terms' denotation is remarkably similar for the oldest pink category and we investigate the impact of the advent of the younger and more restricted secondary pink category on the colour categorization and colour denotations of the languages.
2014. Mikael Vejdemo-Johansson, Susanne Vejdemo, Carl-Henrik Ek. PLoS ONE 9 (2), e89184
Computational methods have started playing a significant role in semantic analysis. One particularly accessible area for developing good computational methods for linguistic semantics is in color naming, where perceptual dissimilarity measures provide a geometric setting for the analyses. This setting has been studied first by Berlin & Kay in 1969, and then later on by a large data collection effort: the World Color Survey (WCS). From the WCS, a dataset on color naming by 2 616 speakers of 110 different languages is made available for further research. In the analysis of color naming from WCS, however, the choice of analysis method is an important factor of the analysis. We demonstrate concrete problems with the choice of metrics made in recent analyses of WCS data, and offer approaches for dealing with the problems we can identify. Picking a metric for the space of color naming distributions that ignores perceptual distances between colors assumes a decorrelated system, where strong spatial correlations in fact exist. We can demonstrate that the corresponding issues are significantly improved when using Earth Mover's Distance, or Quadratic x-square Distance, and we can approximate these solutions with a kernel-based analysis method.