Computational Linguistics and Language Technology Lab

CLLT specializes in NLP and linguistically informed neural-symbolic AI, bringing formal linguistic rigor to modern computational approaches. We believe that deep theoretical understanding enhances machine learning systems, particularly for under-resourced languages and complex semantic phenomena.

We maintain active research programs in Greek NLP resources, natural language inference with proof assistants, linguistic distance studies, and digital humanities applications. The lab is led by Professor Stergios Chatzikyriakidis and collaborates extensively with leading institutions.

Our Research Philosophy

"We believe that symbolic and neural computation are complementary, not competing approaches. The symbolic provides the precision and interpretability that pure machine learning lacks, while neural models offer the scalability and robustness that symbolic systems need. Our work aims at the synthesis of these approaches, developing systems that are both powerful and explainable, in effect systems with properties neededessential for building AI we can trust."

— CLLT Research Statement