Big Pimpin’. Een big data-benadering van de verspreiding van het leenwoord pimpen in het Nederlands | Amsterdam University Press Journals Online
2004
Volume 75, Issue 1
  • ISSN: 0039-8691
  • E-ISSN: 2215-1214

Samenvatting

Abstract

This article illustrates some of the opportunities and challenges of pursuing a big data approach in linguistic research. To do so, we investigate the diffusion of the loan verb ‘to fancify’ in Dutch based on Twitter data. First, we focus on the derivations of the verb (e.g.: ‘to pimp back’, ‘to repimp’, etc.) and plot the diversity of these forms through time, using the Chao-Wang-Jost estimation of Shannon entropy. We follow this up with an alternation study that compares not only to its ‘native’ alternative , but also its most frequent derivation , using multinomial regression. It is found that, while ’s early expansion in Dutch has proceeded at breakneck speed, resulting e.g. in a plethora of derivations that has so far gone undetected, its current momentum seems to be waning.

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