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Identifying the Authors' National Variety of English in Social Media Texts
Linnaeus University, Faculty of Technology, Department of Computer Science. Lund University. (ISOVIS)ORCID iD: 0000-0002-8998-3618
XPLAIN.
Lund University.ORCID iD: 0000-0002-7240-9003
Linnaeus University, Faculty of Technology, Department of Computer Science. (ISOVIS)ORCID iD: 0000-0002-0519-2537
2017 (English)Conference paper, (Refereed)
Place, publisher, year, edition, pages
2017.
Keyword [en]
NLP, social media texts, national variety, English, annotations, classification
National Category
Language Technology (Computational Linguistics)
Research subject
Computer Science, Information and software visualization; Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-66856OAI: oai:DiVA.org:lnu-66856DiVA: diva2:1120992
Conference
The 11th Biennial Conference on Recent Advances In Natural Language Processing (RANLP '17), 2-8 September 2017, Varna, Bulgaria
Projects
StaViCTA
Funder
Swedish Research Council, 2012-5659
Note

TO BE PUBLISHED!

Available from: 2017-07-07 Created: 2017-07-07 Last updated: 2017-07-07

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Simaki, VasilikiParadis, CaritaKerren, Andreas
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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