Analysis of Rule Based Approach for Afan Oromo Automatic Morphological Synthesizer

Abstract

The aim of this study was to design a morphological synthesizer for Afan Oromo particularly for verbs and nouns. In this research rule based approach for Afan Oromo automatic morphological synthesizer was applied. The performance of the synthesizer was evaluated using accuracy as statistical measurement. An average performance of 96.28% for verbs and 97.46% for nouns was obtained. Potential directions are identified to further improve the synthesizer in the future. The result obtained encourages the undertaking of further research in the area, especially with the aim of developing a fullfledged Afan Oromo morphological synthesizer.