Description

• Title:
  The fourth V, as in evolution: How evolutionary linguistics can contribute to data science
• Creator:
  Pokornowski, Maciej
• Description:
  The paper explores the importance of closer interaction between data science and evolutionary linguistics, pointing to the potential benefits for both disciplines. In the context of big data, the microblogging social networking service – Twitter – can be treated as a source of empirical input for analyses in the field of language evolution. In an attempt to utilize this kind of disciplinary interplay, I propose a model, which constitutes an adaptation of the Iterated Learning framework, for investigating the glossogenetic evolution of sublanguages. 
• Object availability:
  free access
• Rights:
  Prawa autorskie (c) 2015 Theoria et Historia Scientiarum
• Date:
  2015.01.30
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Language:
  English
• Source:
  Theoria et Historia Scientiarum; Vol. 11 (2014): Multiple perspectives on language origins; 45-62;
  Theoria et Historia Scientiarum; Tom 11 (2014): Multiple perspectives on language origins; 45-62;
  2392-1196;
  0867-4159
• Format:
  application/pdf
• Publisher:
  Nicolaus Copernicus University in Toruń
• Relation: https://apcz.umk.pl/THS/article/view/ths-2014-003/4968
• Subject:
  Data science;
  evolutionary linguistics;
  natural language processing;
  Twitter;
  glossogeny;
  Iterated Learning framework
• Identifier: https://apcz.umk.pl/THS/article/view/ths-2014-003
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  text