Hybrid Optimization Algorithm and Transformer Design for Low-Resource Chinese-African Neural Machine Translation

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Exploring Graph-based Transformer Encoder for Low-Resource Neural Machine Translation

The Transformer is commonly used in Neural Machine Translation (NMT), but it faces issues with over-

Low-Resource Neural Machine Translation for Southern African Languages

Low-resource African languages have not fully benefited from the progress in neural machine translat

Low Resource Neural Machine Translation: A Benchmark for Five African Languages

Recent advents in Neural Machine Translation (NMT) have shown improvements in low-resource language (LRL) translation tasks. In this work, we benchmark NMT between English and five African LRL pairs (Swahili, Amharic, Tigrigna, Oromo, Somali [SATOS]). We collected

Data Augmentation for Low-Resource Neural Machine Translation

The quality of a Neural Machine Translation system depends substantially on the availability of siza

Multilingual Neural Machine Translation for Low Resource Languages

Neural Machine Translation (NMT) has been shown to be more effective in translation tasks compared t

DeeveshBeegun/low-resource-neural-machine-translation

# Transformer Neural Machine Translation for Nguni langauges Neural Machine Translation (NMT) has

Hybrid Optimization Algorithm and Transformer Design for Low-Resource Chinese-African Neural Machine Translation

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