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Author
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna:

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

Source:
In: Borin, Lars; Volodina, Elena (Hrsg.): Proceedings of the SLTC 2012 workshop on NLP for CALL Linköping : Linköping University Electronic Press, Linköpings universitet (2012) , 11-19

Series:
Linköping Electronic Conference Proceedings, 080

URL of full text:
http://www.ep.liu.se/ecp/080/002/ecp12080002.pdf

Language:
Englisch

Document type
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings

Schlagwörter:
Computerunterstütztes Lernen, Differenzierender Unterricht, E-Learning, Fremdsprache, Lernen, Lesen, Leseverstehen, Messung, Selbstgesteuertes Lernen, Textverständnis


Abstract(englisch):
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.


DIPF-Departments:
Informationszentrum Bildung

Notes: