3 research outputs found

    Processing personal data without the consent of the data subject for the development and use of language resources

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    The development and use of language resources often involve the processing of personal data. The General Data Protection Regulation (GDPR) establishes an EU-wide framework for the processing of personal data for research purposes while at the same time allowing for some flexibility on the part of the Member States. The paper discusses the legal framework for language research following the entry into force of the GDPR. In the first section, we present some fundamental concepts of data protection relevant to language research. In the second section, the general framework of processing personal data for research purposes is discussed. In the last section, we focus on the models that certain EU Member States use to regulate data processing for research purposes.Peer reviewe

    Implementation of an Open Science Policy in the context of management of CLARIN language resources : a need for changes?

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    This article investigates the compatibility of the current CLARIN license categorization scheme with the open science paradigm. The first part presents the main concepts and theoretical framework required for the analysis, while the second part discusses the use of the CLARIN categorization system, divided into PUB (public), ACA (academic), and RES (restricted), and potential ways to change it. This paper serves to explore various suggestions for change and to begin discussion of a reformed CLARIN license category scheme.Peer reviewe

    The Impact of Copyright and Personal Data Laws on the Creation and Use of Models for Language Technologies

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    The authors address the legal issues relating to the creation and use of language models. The article begins with an explanation of the development of language technologies. The authors analyse the technological process within the framework copyright, related rights and personal data protection law. The authors also cover commercial use of language models. The authors’ main argument is that legal restrictions applicable to language data containing copyrighted material and personal data usually do not apply to language models. Language models are generally not considered derivative works. Due to a wide range of language models, this position is not absolute.Peer reviewe
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