The correlation between motion event encoding and path verb lexicon size in the Indo-European language family

There have been opposing views on the possibility of a relationship between motion event encoding and the size of the path verb lexicon. Özçalışkan (2004) has proposed that verb-framed and satellite-framed languages should approximately have the same number of path verbs, whereas a review of some of the literature suggests that verb-framed languages typically have a bigger path verb lexicon than satelliteframed languages. In this article I demonstrate that evidence for this correlation can be found through phylogenetic comparative analysis of parallel corpus data from twenty Indo-European languages

Where do all the motion verbs come from? The speed of development of manner verbs and path verbs in Indo-European

The last four decades have seen huge progress in the description and analysis of cross-linguistic diversity in the encoding of motion (Talmy 1985, 1991, Slobin 1996, 2004). Comparisons between satellite-framed and verb-framed languages suggest that satellite-framed languages typically have a larger manner of motion verb lexicon (swim, dash), while verb-framed languages typically have a larger path of motion verb lexicon (enter, cross) (Slobin 2004, Verkerk 2013, 2014b). This paper investigates how differences between the motion verb lexicons of satellite-framed and verb-framed languages emerge. Phylogenetic comparative methods adopted from biology and an etymological study are used to investigate manner verb lexicons and path verb lexicons in an Indo-European dataset. I show that manner verbs and path verbs typically have different types of etymological origins and that manner verbs emerge faster in satellite-framed subgroups, while path verbs emerge faster in verb-framed subgroups

Investigating diachronic trends in phonological inventories using BDPROTO

Here we present an expanded version of bdproto, a database comprising phonological inventory data from 257 ancient and reconstructed languages. These data were extracted from historical linguistic reconstructions and brought together into a single unified, normalized, accessible, and Unicode-compliant language resource. This dataset is publicly available and we aim to engage language scientists doing research on language change and language evolution. Furthermore, we identify a hitherto undiscussed temporal bias that complicates the simple comparison of ancient and reconstructed languages with present-day languages. Due to the sparsity of the data and the absence of statistical and computational methods that can adequately handle this bias, we instead directly target rates of change within and across families, thereby providing a case study to highlight bdproto’s research viability; using phylogenetic comparative methods and high-resolution language family trees, we investigate whether consonantal and vocalic systems differ in their rates of change over the last 10,000 years. In light of the compilation of bdproto and the findings of our case study, we discuss the challenges involved in comparing the sound systems of reconstructed languages with modern day languages

Color technology is not necessary for rich and efficient color language

The evolution of basic color terms in language is claimed to be stimulated by technological development, involving technological control of color or exposure to artificially colored objects. Accordingly, technologically “simple” non-industrialized societies are expected to have poor lexicalization of color, i.e., only rudimentary lexica of 2, 3 or 4 basic color terms, with unnamed gaps in the color space. While it may indeed be the case that technology stimulates lexical growth of color terms, it is sometimes considered a sine qua non for color salience and lexicalization. We provide novel evidence that this overlooks the role of the natural environment, and people's engagement with the environment, in the evolution of color vocabulary. We introduce the Maniq—nomadic hunter-gatherers with no color technology, but who have a basic color lexicon of 6 or 7 terms, thus of the same order as large languages like Vietnamese and Hausa, and who routinely talk about color. We examine color language in Maniq and compare it to available data in other languages to demonstrate it has remarkably high consensual color term usage, on a par with English, and high coding efficiency. This shows colors can matter even for non-industrialized societies, suggesting technology is not necessary for color language. Instead, factors such as perceptual prominence of color in natural environments, its practical usefulness across communicative contexts, and symbolic importance can all stimulate elaboration of color language