Article | Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 | A Linguistically-Informed Search Engine to Identifiy Reading Material for Functional Illiteracy Classes Linköping University Electronic Press Conference Proceedings
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Title:
A Linguistically-Informed Search Engine to Identifiy Reading Material for Functional Illiteracy Classes
Author:
Zarah Weiss: Department of Linguistics, ICALL-Research.de Group, LEAD Graduate School & Research Network, University of Tübingen, Germany Sabrina Dittrich: Department of Linguistics, ICALL-Research.de Group, LEAD Graduate School & Research Network, University of Tübingen, Germany Detmar Meurers: Department of Linguistics, ICALL-Research.de Group, LEAD Graduate School & Research Network, University of Tübingen, Germany
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018
Issue:
152
Article no.:
009
Pages:
79-90
No. of pages:
12
Publication type:
Abstract and Fulltext
Published:
2018-11-02
ISBN:
978-91-7685-173-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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We present KANSAS, a search engine designed to retrieve reading materials for functional illiterates and learners of German as a Second Language. The system allows teachers to refine their searches for teaching material by selecting appropriate readability levels and (de)prioritizing linguistic constructions. In addition to this linguistically-informed query result ranking, the system provides visual input enhancement for the selected linguistic constructions.

Our system combines state-of-the-art Natural Language Processing (NLP) with light-weight algorithms for the identification of relevant linguistic constructions. We have evaluated the system in two pilot studies in terms of the identification of linguistic constructions and the identification of readability levels. Both pilots achieved highly promising results and are being followed by full-fledged performance studies and usability tests.



Keywords: information retrieval, functional illiteracy, German, German as a Second Language

Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018

Author:
Zarah Weiss, Sabrina Dittrich, Detmar Meurers
Title:
A Linguistically-Informed Search Engine to Identifiy Reading Material for Functional Illiteracy Classes
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Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018

Author:
Zarah Weiss, Sabrina Dittrich, Detmar Meurers
Title:
A Linguistically-Informed Search Engine to Identifiy Reading Material for Functional Illiteracy Classes
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