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- Full article: Demonstratives in Afaan Oromoo - Taylor Francis Online
Afaan Oromoo is a well-studied language, especially in terms of its syntax Some of the studies are Gragg (1976), Griefenow-Mewis (2001), Owens (1985) and Yimam (1986, 1988) The language is known for its rich morphology, involving multiple inflectional processes
- Afaan Oromo Morphological Analysis: A Machine Learning Approach
My thesis is morphological analysis for Afaan Oromoo lanaguage using deep learning approaches
- COLLEGE OF NATURAL AND COMPUTATIONAL SCIENCES
inflection and or derivation of the language These above mentioned complications are also worse for Afaan Oromo, which is morphologically rich and resource scarce language and whose structure hasn’t been studied
- Morphological rich language like afaan oromoo challenging
In this study, we propose character level multiscale sentiment analysis for Afaan Oromoo using combined Convolutional Neural Network and Bidirectional Long Short-Term Memory (CNN-Bi-LSTM) approach
- Morphological Analyzer For Afaan Oromoo Using Machine Learning
This thesis describes the development of morphological analysis system for Afaan Oromoo Morphological analysis is an analysis of words that aimed at segmenting words into their component morphemes and the assignment of grammatical information to grammatical categories
- Investigating Afan Oromo Language Structure and Developing Effect
Afan Oromo has a very rich morphology like other African and Ethiopian languages [3] With regard to the writing system, Qubee (Latin-based alphabet) has been adopted and became the official script of Afan Oromo since 1842 [6]
- (PDF) Inflectional Morphology in Oromo - Academia. edu
This study analyzes inflectional morphology in Oromo, focusing on nouns and verbs Oromo has distinct inflectional categories such as number, gender, case, and tense Approximately 37% of Ethiopia's population speaks Oromo, emphasizing its linguistic significance
- DEVELOPING MORPHOLOGICAL ANALYZER FOR AFAAN OROMO LANGUAGE USING DEEP . . .
The Afaan Oromo language, spoken by millions of people in Ethiopia and neighboring regions, presents unique morphological challenges that necessitate advanced natural language processing
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