Innovation

Delivering a comprehensive computational framework for lexical stress that is easily understandable and adaptable by other branches of cognitive science.

Improving our understanding of the computational architecture of cognition and decision-making, thereby contributing to the broader fields of machine learning and deep learning technologies.

Contact us
	Anthi Revithiadou
	Department of Linguistics, School of Philology, Faculty of Philosophy Aristotle University of Thessaloniki (A.U.Th.) Thessaloniki, 54124, Greece
	gradience@lit.auth.gr and revith@lit.auth.gr

Funding
The research project with the title “GRADIENCE" is carried out within the framework of the National Recovery and Resilience Plan Greece 2.0, funded by the European Union – NextGenerationEU (Implementation body: H.F.R.I. \|\| H.F.R.I. Number: 15053; A.U.Th. Special Account for Research Funds Project Number: 76809)