Article | Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 | NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills Linköping University Electronic Press Conference Proceedings
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Title:
NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills
Author:
Gerold Schneider: English Department & Institute of Computational Linguistics, University of Zurich, Switzerland Johannes Graën: Institute of Computational Linguistics, University of Zurich, Switzerland
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.:
008
Pages:
69-78
No. of pages:
10
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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The use of corpora in language learning, both in classroom and self-study situations, has proven useful. Investigations into technology use show a benefit for learners that are able to work with corpus data using easily accessible technology. But relatively little work has been done on exploring the possibilities of parallel corpora for language learning applications.

Our work described in this paper explores the applicability of a parallel corpus enhanced with several layers generated by NLP techniques for extracting collocations that are non-compositional and thus indispensable to learn. We identify constellations, i.e. combinations of intra- and interlingual relations, calculate association scores on each relation and, based thereon, a joint score for each constellation.

This way, we are able to find relevant collocations for different types of constellations. We evaluate our approach and discuss scenarios in which language learners can playfully explore collocations. Our web tools are freely accessible, generate collocation dictionaries on the fly, and link them to example sentences to ensure context embedding.



Keywords: data-driven learning, collocation measures, parallel corpora, alignment association, collocation dictionaries, interactive exploration, adjective-noun structures, verb-object structures, verb-preposition structures

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

Author:
Gerold Schneider, Johannes Graën
Title:
NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills
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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:
Gerold Schneider, Johannes Graën
Title:
NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills
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