38 citations · 92 across the 6 of their papers we have counts for
6 papers
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila +45
Research in NLP lacks geographic diversity, and the question of how NLP can be scaled to low-resourced languages has not yet been adequately solved. "Low-resourced"-ness is a compl…
Neural Machine Translation for South Africa's Official Languages
Laura Martinus, Jason Webster, Joanne Moonsamy +3
Recent advances in neural machine translation (NMT) have led to state-of-the-art results for many European-based translation tasks. However, despite these advances, there is has be…
Masakhane -- Machine Translation For Africa
Iroro Orife, Julia Kreutzer, Blessing Sibanda +22
Africa has over 2000 languages. Despite this, African languages account for a small portion of available resources and publications in Natural Language Processing (NLP). This is du…
Benchmarking Neural Machine Translation for Southern African Languages
Laura Martinus, Jade Z. Abbott
Unlike major Western languages, most African languages are very low-resourced. Furthermore, the resources that do exist are often scattered and difficult to obtain and discover. As…
A Focus on Neural Machine Translation for African Languages
Laura Martinus, Jade Z. Abbott
African languages are numerous, complex and low-resourced. The datasets required for machine translation are difficult to discover, and existing research is hard to reproduce. Mini…
Towards Neural Machine Translation for African Languages
Jade Z. Abbott, Laura Martinus
Given that South African education is in crisis, strategies for improvement and sustainability of high-quality, up-to-date education must be explored. In the migration of education…