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Author(s): Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Title: Towards fine-grained readability measures for self-directed language learning
In: Borin, Lars; Volodina, Elena (Hrsg.): Proceedings of the SLTC 2012 workshop on NLP for CALL, Linköping: Linköping University Electronic Press, Linköpings universitet, 2012 (Linköping Electronic Conference Proceedings, 080), S. 11-19
URL: http://www.ep.liu.se/ecp/080/002/ecp12080002.pdf
Publication Type: 4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language: Englisch
Keywords: Computerunterstütztes Lernen; Differenzierender Unterricht; E-Learning; Fremdsprache; Lernen; Lesen; Leseverstehen; Messung; Selbstgesteuertes Lernen; Textverständnis
Abstract (english): 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