Abstract: This research developed a recurrent neural network model for English to Yoruba machine translation. Parallel corpus was obtained from the English and Yoruba bible corpus. The developed model was tested and evaluated using both manual and automatic evaluation techniques. Results from manual evaluation by ten human evaluators show that the system is adequate and fluent. Also, results from automatic evaluation shows that the developed model has decent and good translation as well as higher accuracy because it has better correlation with human judgment.

Adebimpe Esan, John Oladosu, Christopher Oyeleye, Ibrahim Adeyanju, Olatayo Olaniyan, Nnamdi Okomba, Bolaji Omodunbi and Opeyemi Adanigbo, “Development of a Recurrent Neural Network Model for English to Yorùbá Machine Translation” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110574

@article{Esan2020,
title = {Development of a Recurrent Neural Network Model for English to Yorùbá Machine Translation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110574},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110574},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Adebimpe Esan and John Oladosu and Christopher Oyeleye and Ibrahim Adeyanju and Olatayo Olaniyan and Nnamdi Okomba and Bolaji Omodunbi and Opeyemi Adanigbo}
}