Computational Infrastructure for Modern Greek: From Grammar to Ontology

This study presents a comprehensive NLP infrastructure for Modern Greek that bridges grammatical analysis and ontological representation, integrating linguistic theory, algorithmic modeling, and semantic structuring within a unified computational framework. Modern Greek remains under-resourced in terms of interoperable linguistic tools, with existing systems addressing morphology, syntax, or semantics separately. The proposed system fills this gap by connecting data extraction, morphological generation, and syntactic analysis within a single executable environment, validated through diagnostic evaluation and ontology consistency checking. Linguistic data were automatically retrieved from the Dictionary of Standard Modern Greek (55,101 entries), processed through Python-based algorithms, and integrated into an ontology in Protégé. The resulting ontology captures grammatical and semantic relations with high precision and supports reasoning, interoperability, and linguistic knowledge expansion. The system transforms grammatical knowledge into ontological knowledge, providing a scalable linguistic foundation for future advancements in Natural Language Processing and Understanding for Modern Greek.