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Autor:
Beinborn, Lisa;
Zesch, Torsten;
Gurevych, Iryna:
Titel:
Towards fine-grained readability measures for self-directed language learning
Quelle:
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
Serie:
Linköping Electronic Conference Proceedings, 080
URL des Volltextes:
http://www.ep.liu.se/ecp/080/002/ecp12080002.pdf
Sprache:
Englisch
Dokumenttyp:
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.
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