Icelandic Morphosyntactic Ontology (IMO): AI-Compatible Morphosyntactic Specification with a Human Learnability Projection Layer (v0.1)

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Authors: Omri Bankuti
Cited by: 0

Abstract

The Icelandic Morphosyntactic Ontology (IMO) defines a formal, AI-compatible representation of Icelandic morphosyntax, including closed morphological feature inventories, a typed dependency-style relation system, and a constraint-based validation layer. Version v0.1 establishes an architectural specification rather than a complete lexical or descriptive grammar. It introduces a formal morphosyntactic model designed for computational compatibility (e.g., NLP validation, dependency parsing alignment), while explicitly separating a derived human learnability projection layer. The document includes:(1) Morphological entity system,(2) Syntactic relation graph layer,(3) Constraint architecture (agreement, governance, default case assignment),(4) Dependency matrices,(5) A structured human learnability projection blueprint. IMO does not replace existing Icelandic lexical databases or parsing systems (e.g., BÍN, Greynir), but operates at a formal abstraction layer intended for structural modeling and constraint-based validation.

Fields of Study & Subjects

Natural Language Processing Techniques Syntax Semantics Linguistic Variation Linguistics and Language Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN