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Amharic – Awngi Machine Translation: Experiment Using Statistical Approach
Machine translation is a complex and challenging task, especially when dealing with languages that have limited resources and linguistic data available. One such language pair is Amharic and Awngi, two Afro-Asiatic languages spoken in Ethiopia.
In this experiment, we will be using a statistical approach to develop a machine translation system for translating text from Amharic to Awngi. This approach involves training a statistical model on a parallel corpus of Amharic and Awngi texts, and using that model to generate translations for new input text.
The goal of this experiment is to evaluate the feasibility and performance of machine translation between Amharic and Awngi using a statistical approach. This will involve measuring the accuracy and fluency of the translations, as well as identifying any challenges or limitations that may arise.
Stay tuned for updates on the progress and results of this exciting experiment in Amharic-Awngi machine translation!
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