Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
An Exploratory Study on Genre Classification using Readability Features
Linköping University, Sweden.
RISE - Research Institutes of Sweden, ICT, SICS.ORCID-id: 0000-0002-5737-8149
Linköping University, Sweden.
2016 (engelsk)Inngår i: The Sixth Swedish Language Technology Conference (SLTC), 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

We present a preliminary study that explores whether text features used for readability assessment are reliable genre-revealing features. We empirically explore the difference between genre and domain. We carry out two sets of experiments with both supervised and unsupervised methods. Findings on the Swedish national corpus (the SUC) show that readability cues are good indicators of genre variation.

sted, utgiver, år, opplag, sider
2016.
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-37626OAI: oai:DiVA.org:ri-37626DiVA, id: diva2:1283334
Konferanse
Sixth Swedish Language Technology Conference (SLTC), November 17-18, 2016, Umeå, Sweden
Tilgjengelig fra: 2019-01-29 Laget: 2019-01-29 Sist oppdatert: 2019-06-18bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

https://www.ida.liu.se/~arnjo82/papers/SLTC_2016_paper_19.pdf

Person

Santini, Marina

Søk i DiVA

Av forfatter/redaktør
Santini, Marina
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric

urn-nbn
Totalt: 35 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.45.0