DESIGN & IMPLEMENTATION OF A NEURAL MACHINE TRANSLATION SYSTEM (LET’S TALK) FOR THE TRANSLATION OF HYAM TO ENGLISH
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- NGN 3000
ABSTRACT
In Southern Kaduna, the Hyam Community always welcome foreigners every year, due to their friendliness and hospitable nature. They have even welcomed Igbos in the past and when the Hausas wanted to kill them, they hid them and gave them a safe route back to the east. Now with this in mind, the Hyam people would find it hard to communicate easily, due to their little or lack of knowledge of the lingua franca, because of lack of exposure. This project presents an overall model for the translation of natural languages (Hyam to English). It is a Neural Machine Translator, achieved using Recurrent Neural Network (RNN). The models are made up of large artificial neural neurons which is able to predict the probability of a sequence of words in a given sentence. This translation is achieved using hidden layers in both models, based on parallel documents provided for both languages. The models here are encoder and decoder.
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