liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Features indicating readability in Swedish text
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. SICS East Swedish ICT AB .ORCID iD: 0000-0002-6357-4461
Göteborgs Universitet. (Språkbanken)
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. SICS East Swedish ICT AB .ORCID iD: 0000-0003-4899-588X
2013 (English)In: Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013) / [ed] Stephan Oepen, Kristin Hagen, Janne Bondi Johannesse, Linköping, 2013, 27-40 p.Conference paper, Published paper (Refereed)
Abstract [en]

Studies have shown that modern methods of readability assessment, using automated linguistic analysis and machine learning (ML), is a viable road forward for readability classification and ranking. In this paper we present a study of different levels of analysis and a large number of features and how they affect an ML-system’s accuracy when it comes to readability assessment. We test a large number of features proposed for different languages (mainly English) and evaluate their usefulness for readability assessment for Swedish as well as comparing their performance to that of established metrics. We find that the best performing features are language models based on part-of-speech and dependency type.

Place, publisher, year, edition, pages
Linköping, 2013. 27-40 p.
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686 (print), 1650-3740 (online) ; 85
Series
NEALT Proceedings, 16
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-93374ISBN: 978-91-7519-589-6 (print)OAI: oai:DiVA.org:liu-93374DiVA: diva2:624380
Conference
The 19th Nordic Conference of Computational Linguistics (NODALIDA 2013), May 22–24, 2013, Oslo University, Norway
Available from: 2013-05-31 Created: 2013-05-31 Last updated: 2014-01-13Bibliographically approved

Open Access in DiVA

falkenjackmuhlenbockjonssonnodalida2013(148 kB)210 downloads
File information
File name FULLTEXT01.pdfFile size 148 kBChecksum SHA-512
6b771967a25c959e89d1fadd02893f9462f31108c245ea0e6d85414d988fb6c70d7e4898a0c2cdad11e6a1317f3f1e7a4e9f97e29a487b1446461bc04730c525
Type fulltextMimetype application/pdf

Other links

Proceedings

Authority records BETA

Falkenjack, JohanJönsson, Arne

Search in DiVA

By author/editor
Falkenjack, JohanJönsson, Arne
By organisation
Human-Centered systemsThe Institute of Technology
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
Total: 210 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 837 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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