Inga Kempfert
Natural Lanuguage Systems Group, Department of Informatics, Universität Hamburg, Germany
Christine Köhn
Natural Lanuguage Systems Group, Department of Informatics, Universität Hamburg, Germany
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Ingår i: Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018
Linköping Electronic Conference Proceedings 152:4, s. 32-40
NEALT Proceedings Series 36:4, p. 32-40
Publicerad: 2018-11-02
ISBN: 978-91-7685-173-9
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Automatically classifying errors by language learners facilitates corpus analysis and tool development. We present a tag set and a rule-based classifier for automatically assigning error tags to edits in learner texts. In our manual evaluation, the classifier assigns the best or close to best fitting tag in 92% of the cases.
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