Using authentic texts for grammar exercises for a minority language

Lene Antonsen
UiT The Arctic Universit, Norway

Chiara Argese
UiT The Arctic Universit, Norway

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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 152:1, s. 1-9

NEALT Proceedings Series 36:1, s. 1-9

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Publicerad: 2018-11-02

ISBN: 978-91-7685-173-9

ISSN: 1650-3686 (tryckt), 1650-3740 (online)


This paper presents an ATICALL (Authentic Text ICALL) system with automatic visual input enhancement activities for training complex inflection systems in a minority language. We have adapted the freely available VIEW system which was designed to automatically generate activities from any web content.

Our system is based on finite state transducers (FST) and Constraint Grammar, originally built for other purposes. The paper describes ways of handling ambiguity in the target form in the exercises, and ways of handling the challenges for VIEW posed by authentic text, typical for a minority language: variations in orthography, and large proportion of nonnormative forms.


ICALL, morphology, minority language


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