The Extent of Legal Control over Language Data: the Case of Language Technologies

Aleksei Kelli, Krister Linden, Arvi Tavast, Kadri Vider, Ramunas Birštonas, Penny Labropoulou, Irene Kull, Gaabriel Tavits, Age Värv

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


The article aims to increase legal clarity concerning the impact of data containing copyrighted content and personal data on the development of language technologies. The question is whether legal rights covering data affect language models.
Original languageEnglish
Title of host publicationProceedings of CLARIN Annual Conference 2019
EditorsKiril Simov, Maria Eskevich
Publication date30 Sep 2019
Publication statusPublished - 30 Sep 2019
MoE publication typeA4 Article in conference proceedings
EventCLARIN Annual Conference 2019 in Leipzig, Germany - Universität Leipzig, Leipzig, Germany
Duration: 30 Sep 20192 Oct 2019

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