Research Group:

Data-Centric Language Technologies

Head of the Research Group:

Ekaterina Artemova

The field of Data-Centric Language Technologies focuses on the development of computational systems and methodologies that prioritize the efficient handling, processing, and analysis of linguistic data. This area combines natural language processing (NLP), database systems, and computational linguistics to design tools that enable seamless interaction with large-scale textual and spoken data. Research in this field explores topics such as machine translation, information retrieval, text mining, and conversational AI. The goal is to create innovative solutions that enhance communication between humans and machines while addressing challenges in multilingualism, semantic understanding, and data-driven language applications.