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Design and Development of Morphological Analyzer For Tigrigna Verbs Using Hybrid Approach by Darren is a document available to read on EtoBox.
This paper presents the design and development of a morphological analyzer for Tigrigna verbs using a hybrid approach that combines memory learning and rule-based methods. The system achieved an accuracy of 95.6% in processing Tigrigna verbs, addressing the need for effective NLP tools for this language. The research highlights the complexities of Tigrigna morphology and the importance of such analyzers for various applications in natural language processing.
- Author
- Darren
- Language
- EN