CKMorph: a comprehensive morphological analyzer for Central Kurdish

A morphological analyzer, a significant component of many natural language processing applications, especially for morphologically rich languages, divides an input word into all its composing morphemes and identifies their roles. This paper introduces comprehensive analyzer Central Kurdish (CK), also known as Sorani, low-resourced with morphology. Building upon the limited existing literature, we first assembled systematically categorized extensive collection morphophonological rules language. Additionally, collected manually labeled generative lexicon containing nearly 10,000 verb, noun adjective stems, named entities, other types stems. We used these rule sets resources to implement CKMorph Analyzer based on finite-state transducers. In order provide benchmark future research, collected, labeled, publicly shared test evaluating accuracy coverage analyzer. was able correctly analyze 95.9% set, 1000 CK words analyzed according context. Moreover, gave at least one analysis 95.5% 4.22 M tokens second set. The demonstration application resources, including verb database sets, are openly accessible github.com/CKMorph.