| 1. |
- Megyesi, Beáta, 1971-, et al.
(författare)
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Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish
- 2018
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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 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin. - Linköpings universitet : Linköping University Electronic Press. - 1650-3686 .- 1650-3740. - 9789176851739
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Konferensbidrag (refereegranskat)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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| 2. |
- Volodina, Elena, 1973, et al.
(författare)
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Annotation of learner corpora: first SweLL insights.
- 2018
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Ingår i: Proceedings of SLTC 2018, Stockholm, October 7-9, 2018.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation.
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| 3. |
- Volodina, Elena, 1973, et al.
(författare)
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The SweLL Language Learner Corpus: From Design to Annotation
- 2019
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Ingår i: Northern European Journal of Language Technology. - : Linkoping University Electronic Press. - 2000-1533. ; 6, s. 67-104
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Tidskriftsartikel (refereegranskat)abstract
- The article presents a new language learner corpus for Swedish, SweLL, and the methodology from collection and pesudonymisation to protect personal information of learners to annotation adapted to second language learning. The main aim is to deliver a well-annotated corpus of essays written by second language learners of Swedish and make it available for research through a browsable environment. To that end, a new annotation tool and a new project management tool have been implemented, – both with the main purpose to ensure reliability and quality of the final corpus. In the article we discuss reasoning behind metadata selection, principles of gold corpus compilation and argue for separation of normalization from correction annotation.
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