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What is For Print about?

The thesis by Getachew Tufa explores the application of neural word embeddings for the Afaan Oromoo language using deep learning techniques. It emphasizes the importance of word embeddings in natural language processing and details the methodology for preprocessing text, training a word embedding model, and evaluating its performance. The study aims to enhance computational analysis for Afaan Oromoo by capturing linguistic characteristics such as synonyms and antonyms through the Word2Vec model.

Author

getachew

Language

EN