TY - GEN

T1 - Legal Regime of the Language Resources in the Context of the European Language Technology Development

AU - Ilin, Ilya

PY - 2022

Y1 - 2022

N2 - The rapid technological development has created new opportunities for language digitalization and the development of language technology applications. The core element of language technology is language resources, which is in a broad sense, can be considered as a scope of the databases that consists of the myriad of texts both in oral and written forms and used in the machine-learning algorithm. The creation of language resources requires two processes: the first one is language digitalization, meaning the transformation of the speech and texts into the machine-responsible form. The second process refers to text mining, which analyzes data by using a machine-learning algorithm. Adoption of the General Data Protection Regulation (GDPR) and Directive on copyright and related rights in the Digital Single Market (DSM Directive) has been building a renewed legal framework that addresses the demands of the digital economies and unseals challenges, opens prospects for further development. We examine the language resources from two perspectives. Firstly, the language resources are considered a database covered by the protection regulation (the person’s rights who created the LR database). Within the second perspective, the legal analysis focuses on the materials used for the language resource creation (data subject’s rights, copyright, related rights). The result of the research can be used for further legal investigations and policy design in the field of language technology development.

AB - The rapid technological development has created new opportunities for language digitalization and the development of language technology applications. The core element of language technology is language resources, which is in a broad sense, can be considered as a scope of the databases that consists of the myriad of texts both in oral and written forms and used in the machine-learning algorithm. The creation of language resources requires two processes: the first one is language digitalization, meaning the transformation of the speech and texts into the machine-responsible form. The second process refers to text mining, which analyzes data by using a machine-learning algorithm. Adoption of the General Data Protection Regulation (GDPR) and Directive on copyright and related rights in the Digital Single Market (DSM Directive) has been building a renewed legal framework that addresses the demands of the digital economies and unseals challenges, opens prospects for further development. We examine the language resources from two perspectives. Firstly, the language resources are considered a database covered by the protection regulation (the person’s rights who created the LR database). Within the second perspective, the legal analysis focuses on the materials used for the language resource creation (data subject’s rights, copyright, related rights). The result of the research can be used for further legal investigations and policy design in the field of language technology development.

KW - Copyright

KW - Intellectual property protection

KW - Language technology

KW - Text mining

UR - https://www.mendeley.com/catalogue/2d849c96-2b43-354a-ac58-77a61e2e03a9/

U2 - 10.1007/978-3-031-05328-3_24

DO - 10.1007/978-3-031-05328-3_24

M3 - Conference contribution

SN - 9783031053276

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 367

EP - 376

BT - Language and Technology Conference LTC 2019

PB - Springer Nature

T2 - 9th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics

Y2 - 17 May 2019 through 19 May 2019

ER -