1 citations · 2 across the 3 of their papers we have counts for
3 papers
PuoBERTa: Training and evaluation of a curated language model for Setswana
Vukosi Marivate, Moseli Mots'Oehli, Valencia Wagner +2
Natural language processing (NLP) has made significant progress for well-resourced languages such as English but lagged behind for low-resource languages like Setswana. This paper…
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan +42
Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these dat…
Training Cross-Lingual embeddings for Setswana and Sepedi
Mack Makgatho, Vukosi Marivate, Tshephisho Sefara +1
African languages still lag in the advances of Natural Language Processing techniques, one reason being the lack of representative data, having a technique that can transfer inform…