SOAS Research Online

A Free Database of the Latest Research by SOAS Academics and PhD Students

[skip to content]

Montero-Melis, Guillermo and Eisenbeiss, Sonja and Narasimhan, Bhuvana and Ibarretxe-Antuñano, Iraide and Kita, Sotaro and Kopecka, Anetta and Lüpke, Friederike and Nikitina, Tatiana and Tragel, Ilona and Jaeger, T. Florian and Bohnemeyer, Juergen (2017) 'Satellite- vs. verb-framing underpredicts nonverbal motion categorization: Insights from a large language sample and simulations.' Cognitive Semantics, 3 (1). pp. 36-61.

[img]
Preview
Text - Accepted Version
Download (1MB) | Preview

Abstract

Is motion cognition influenced by the large-scale typological patterns proposed in Talmy’s (2000) two-way distinction between verb-framed (V) and satellite-framed (S) languages? Previous studies investigating this question have been limited to comparing two or three languages at a time and have come to conflicting results. We present the largest cross-linguistic study on this question to date, drawing on data from nineteen genealogically diverse languages, all investigated in the same behavioral paradigm and using the same stimuli. After controlling for the different dependencies in the data by means of multilevel regression models, we find no evidence that S- vs. V-framing affects nonverbal categorization of motion events. At the same time, statistical simulations suggest that our study and previous work within the same behavioral paradigm suffer from insufficient statistical power. We discuss these findings in the light of the great variability between participants, which suggests flexibility in motion representation. Furthermore, we discuss the importance of accounting for language variability, something which can only be achieved with large cross-linguistic samples

Item Type: Journal Article
SOAS Departments & Centres: Legacy Departments > Faculty of Languages and Cultures > Department of the Languages and Cultures of Africa
DOI (Digital Object Identifier): https://doi.org/10.1163/23526416-00301002
Date Deposited: 08 Feb 2017 17:11
URI: http://eprints.soas.ac.uk/id/eprint/23310

Altmetric Data

Statistics

Download activity - last 12 months
Downloads since deposit
50Downloads
117Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months

Repository staff only

Edit Item Edit Item