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Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish

Conference paper
Authors Beata Megyesi
Lena Granstedt
Sofia Johansson
Julia Prentice
Dan Rosén
Carl-Johan Schenström
Gunlög Sundberg
Mats Wirén
Elena Volodina
Published in Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin
ISBN 978-91-7685-173-9
ISSN 1650-3686
Publisher Linköping University Electronic Press
Place of publication Linköpings universitet
Publication year 2018
Published at Department of Swedish
Language en
Links www.ep.liu.se/ecp/article.asp?issue...
Keywords learner corpus, anonymization, pseudonymization, legal issues, GDPR
Subject categories Language Technology (Computational Linguistics), Specific Languages, General Language Studies and Linguistics

Abstract

This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.

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