@inProceedings{heimannmuhlenbock-etal-2015-multivariate-221988,
title = {A multivariate model for classifying texts' readability},
abstract = {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.},
booktitle = {ACL Anthology - Proceedings of the 20th Nordic Conference of Computational Linguistics (NoDaLiDa-2015). May 11–13, 2015 in Vilnius, Lithuania. },
author = {Heimann Mühlenbock, Katarina and Johansson Kokkinakis, Sofie and Liberg, Caroline and Geijerstam, Åsa af and Wiksten Folkeryd, Jenny and Jönsson, Arne and Kanebrant, Erik and Falkenjack, Johan},
year = {2015},
volume = {23},
ISBN = {978-91-7519-098-3},
pages = {257--261},
}