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Crowdsourcing dialect characterization through twitter

AuthorsGonçalves, Bruno; Sánchez, David
Issue Date19-Nov-2014
PublisherPublic Library of Science
CitationPLoS ONE 9(11): e112074 (2014)
AbstractWe perform a large-scale analysis of language diatopic variation using geotagged microblogging datasets. By collecting all Twitter messages written in Spanish over more than two years, we build a corpus from which a carefully selected list of concepts allows us to characterize Spanish varieties on a global scale. A cluster analysis proves the existence of well defined macroregions sharing common lexical properties. Remarkably enough, we find that Spanish language is split into two superdialects, namely, an urban speech used across major American and Spanish citites and a diverse form that encompasses rural areas and small towns. The latter can be further clustered into smaller varieties with a stronger regional character. Copyright: © 2014 Gonçalves, Sanchez.
DescriptionData Availability: The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are publicly available. Documentation on how to query the Twitter API can be found here: https://dev.twitter.com/overview/documen​tation.
Publisher version (URL)http://dx.doi.org/10.1371/journal.pone.0112074
Identifiersdoi: 10.1371/journal.pone.0112074
issn: 1932-6203
Appears in Collections:(IFISC) Artículos
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