A FORMAL MODEL OF THE SYNTACTIC STABILITY OF UZBEK IDIOMS FOR MACHINE TRANSLATION

Uzbek phraseological units are figurative and structurally fixed, so machine-translation and NLP systems often mishandle them. On 150 idioms sampled from a 4,408-unit corpus, each was annotated for structural type, a stability profile over six syntactic transformations, and syntactic role. Stability is defined as the fraction of blocked transformations. Non-parametric tests reveal a stability gradient by structural type—fusions highest, combinations lowest—statistically reliable; word-order change is blocked universally, and all sentence-equivalent idioms are fusions. These interrelated regularities motivate an infological model, refined by an ontology, for storing phraseological knowledge.