12 citations · 16 across the 4 of their papers we have counts for
4 papers
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa +2
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 rea…
Enhanced back-translation for low resource neural machine translation using self-training
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa
Improving neural machine translation (NMT) models using the back-translations of the monolingual target data (synthetic parallel data) is currently the state-of-the-art approach fo…
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model
Idris Abdulmumin, Bashir Shehu Galadanci, Abubakar Isa
An effective method to generate a large number of parallel sentences for training improved neural machine translation (NMT) systems is the use of back-translations of the target-si…
Design and Comparison Migration between Ipv4 and Ipv6 Transition Techniques
Abubakar Isa, Idris Abdulmumin
IPv4 which is the old version of Internet Protocol has a new successor named IP Next Generation (IPng) or IPv6 developed by Internet Engineering Task Force (IETF). This new version…