Creating intelligent tools to detect and correct spelling errors in Kurdish text
Spell checking for Kurdish language addresses the critical need for accurate text correction tools that understand the unique orthographic and morphological characteristics of Kurdish writing systems.
This research aims to develop intelligent spell checking algorithms that can handle Kurdish script variations, morphological inflections, and dialectal differences.
The approach combines statistical language models with rule-based morphological analysis to provide accurate and context-aware spell correction suggestions.
This tool will significantly improve Kurdish text quality in digital communications, educational materials, and publishing, supporting the preservation and development of Kurdish written culture.
MSc • University of Kurdistan Hewlêr
Research Focus: Kurdish Spell Checking and Language Processing