A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data

no code implementations • 14 Nov 2020 • Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa, Habeebah Adamu Kakudi, Ismaila Idris Sinan

Many language pairs are low resource, meaning the amount and/or quality of available parallel data is not sufficient to train a neural machine translation (NMT) model which can reach an acceptable standard of accuracy.

Low-Resource Neural Machine Translation NMT +2