uu.seUppsala University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Open Source Tagger HunPoS for Swedish.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)ORCID iD: 0000-0002-4838-6518
2009 (English)In: Proceedings of the 17th Nordic Conference on Computational Linguistics (NODALIDA), 2009Conference paper, Published paper (Refereed)
Abstract [en]

HunPoS, a freely available open source

part-of-speech tagger—a reimplementation

of one of the best performing taggers,

TnT—is applied to Swedish and evaluated

when the tagger is trained on various sizes

of training data. The tagger’s accuracy is

compared to other data-driven taggers for

Swedish. The results show that the tagging

performance of HunPoS is as accurate as

TnT and can be used efficiently to tag running

text.

Place, publisher, year, edition, pages
2009.
Keyword [en]
PoS tagging, machine learning
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-111926OAI: oai:DiVA.org:uu-111926DiVA: diva2:283844
Conference
the 17th Nordic Conference on Computational Linguistics (NODALIDA)
Projects
Methods and tools for automatic grammar extraction
Available from: 2009-12-30 Created: 2009-12-30 Last updated: 2017-01-25

Open Access in DiVA

No full text

Authority records BETA

Megyesi, Beata

Search in DiVA

By author/editor
Megyesi, Beata
By organisation
Department of Linguistics and Philology
Language Technology (Computational Linguistics)Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 468 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf