Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof<->French

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-

Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages

Research in machine translation (MT) is developing at a rapid pace. However, most work in the community has focused on languages where large amounts of digital resources are available. In this study, we benchmark state of the art statistical and neural machine tran

Benchmarking of Low-Resource Machine Translation Systems

Assessing the performance of machine translation systems is of critical value, especially to languag

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

Neural Machine Translation for French–Mooré: Adapting Large Language Models to Low-Resource Languages

Data Augmentation for Low-Resource Neural Machine Translation

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