Search: onr:"swepub:oai:gup.ub.gu.se/221988" >
A multivariate mode...
A multivariate model for classifying texts' readability
-
- Heimann Mühlenbock, Katarina, 1952 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Sweden,Språkbanken
-
- Johansson Kokkinakis, Sofie, 1969 (author)
- Gothenburg University,Göteborgs universitet,Institutionen för svenska språket,Department of Swedish,University of Gothenburg, Sweden,Språkbanken
-
- Liberg, Caroline, 1951- (author)
- Uppsala universitet,Institutionen för pedagogik, didaktik och utbildningsstudier,STOLP,Uppsala University, Sweden
-
show more...
-
- af Geijerstam, Åsa, 1972- (author)
- Uppsala universitet,Institutionen för pedagogik, didaktik och utbildningsstudier,STOLP,Uppsala University, Sweden
-
- Folkeryd, Jenny W., 1970- (author)
- Uppsala universitet,Institutionen för pedagogik, didaktik och utbildningsstudier,STOLP,Uppsala University, Sweden
-
- Jönsson, Arne (author)
- Linköpings universitet,Interaktiva och kognitiva system,Tekniska högskolan
-
- Kanebrant, Erik (author)
- Linköpings universitet,Institutionen för datavetenskap,Tekniska högskolan
-
- Falkenjack, Johan, 1986- (author)
- Linköpings universitet,Interaktiva och kognitiva system,Tekniska högskolan
-
show less...
-
(creator_code:org_t)
- Linköping University Electronic Press, 2015
- 2015
- English.
-
In: ACL Anthology - Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015). May 11–13, 2015 in Vilnius, Lithuania.. - : Linköping University Electronic Press. - 1650-3740. - 9789175190983 ; 23, s. 257-261
- Related links:
-
http://www.ep.liu.se...
-
show more...
-
https://liu.diva-por... (primary) (Raw object)
-
https://gup.ub.gu.se...
-
https://doi.org/10.1...
-
https://urn.kb.se/re...
-
https://urn.kb.se/re...
-
show less...
Abstract
Subject headings
Close
- We report on results from using the multi-variate readability model SVIT to classify texts into various levels. We investigate how the language features integrated in the SVIT model can be transformed to values on known criteria like vocabulary, grammatical fluency and propositional knowledge. Such text criteria, sensitive to content , readability and genre in combination with the profile of a student's reading ability form the base of individually adapted texts. The procedure of levelling texts into different stages of complexity is presented along with results from the first cycle of tests conducted on 8th grade students. The results show that SVIT can be used to classify texts into different complexity levels.
Subject headings
- HUMANIORA -- Språk och litteratur -- Studier av enskilda språk (hsv//swe)
- HUMANITIES -- Languages and Literature -- Specific Languages (hsv//eng)
- HUMANIORA -- Språk och litteratur -- Jämförande språkvetenskap och allmän lingvistik (hsv//swe)
- HUMANITIES -- Languages and Literature -- General Language Studies and Linguistics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
Find in a library
To the university's database