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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional


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
Number of pages6
Place of PublicationUtrecht
Publication date30 Sept 2019
Publication statusPublished - 30 Sept 2019
MoE publication typeD3 Professional conference proceedings
EventCLARIN Annual Conference 2019 - Universität Leipzig, Leipzig, Germany
Duration: 30 Sept 20192 Oct 2019

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