Kurdish Sorani Dialect Morphology Generation Using a Concatenative Strategy

Abstract

In natural language processing, morphological generation refers to the creation of the appropriate inflected forms of words based on a predetermined set of morphological rules. However, it might be difficult to generate morphology in languages with intricate morphological systems, like the Kurdish Sorani dialect. The concatenative morphology-based unique technique to morphological generation in Kurdish Sorani is proposed in this research. The suggested strategy tries to get over the drawbacks of current approaches and enhance the precision and effectiveness of morphological generation in Kurdish Sorani. The suggested technique generates all conceivable subjective and objective pronouns in both positive and negative forms, together with the various verb tenses for Kurdish morphology. The study presents a detailed examination of Kurdish Sorani’s morphology and points out the difficulties in coming up with the right verbforms. The authors suggest a concatenative morphology-based morphological generating system that comprises of a morphological analyzer and a morphological generator.

Keywords

• low-resource-language
• kurdish-sorani
• nlp
• word-generation
• morphology