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Authors:Lisa Beinborn: Ubiquitous Knowledge Processing Lab (UKP-TUDA), Department of Computer Science, Technische Universität Darmstadt
Torsten Zesch: Ubiquitous Knowledge Processing Lab (UKP-TUDA), Department of Computer Science, Technische Universität Darmstadt
Iryna Gurevych: Ubiquitous Knowledge Processing Lab (UKP-TUDA), Department of Computer Science, Technische Universität Darmstadt
Publication title:Towards fine-grained readability measures for self-directed language learning
Conference:Proceedings of the SLTC 2012 workshop on NLP for CALL, Lund, 25th October, 2012
Publication type: Abstract and Fulltext
Issue:080
Article No.:002
Abstract:In this paper, we analyze existing readability measures regarding their applicability to self-directed language learning. We identify a set of dimensions for text complexity and focus on the lexical, syntactic, semantic, and discourse dimensions. We argue that for the purposes of self-directed language learning, the assessment according to the individual dimensions should be preferred over the overall readability prediction. Furthermore, due to the heterogeneity of the learners in such a setting, modeling the background knowledge of the learner becomes a critical step.
Language:English
Year:2012
No. of pages:9
Pages:11-19
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/080/002/ecp12080002.pdf
Available:2012-11-12
Publisher:Linköping University Electronic Press, Linköpings universitet

REFERENCE TO THIS PAGE
Lisa Beinborn, Torsten Zesch, Iryna Gurevych (2012). Towards fine-grained readability measures for self-directed language learning, Proceedings of the SLTC 2012 workshop on NLP for CALL, Lund, 25th October, 2012 http://www.ep.liu.se/ecp_article/index.en.aspx?issue=080;article=002 (accessed 4/24/2014)