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Towards fine-grained readability measures for self-directed language learning

Beinborn, Lisa and Zesch, Torsten and Gurevych, Iryna (2012):
Towards fine-grained readability measures for self-directed language learning.
In: Proceedings of the SLTC 2012 workshop on NLP for CALL, Linköping University Electronic Press, Linköpings universitet, Lund, Sweden, In: Linköping Electronic Conference Proceedings, [Online-Edition: http://www.ep.liu.se/ecp/080/002/ecp12080002.pdf],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2012
Creators: Beinborn, Lisa and Zesch, Torsten and Gurevych, Iryna
Title: Towards fine-grained readability measures for self-directed language learning
Language: English
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.

Title of Book: Proceedings of the SLTC 2012 workshop on NLP for CALL
Series Name: Linköping Electronic Conference Proceedings
Volume: 80
Number: 2
Publisher: Linköping University Electronic Press, Linköpings universitet
Uncontrolled Keywords: UKP_a_ENLP;reviewed;UKP_p_AutoExerGen;self-directed learning, readability, exercise generation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Lund, Sweden
Date Deposited: 31 Dec 2016 14:29
Official URL: http://www.ep.liu.se/ecp/080/002/ecp12080002.pdf
Identification Number: TUD-CS-2012-0240
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