The Fon language, spoken by an average 2 million of people, is a truly
l...
While there has been significant progress in ASR, African-accented clini...
Useful conversational agents must accurately capture named entities to
m...
In this paper, we present MasakhaPOS, the largest part-of-speech (POS)
d...
African languages are severely under-represented in NLP research due to ...
Many natural language processing (NLP) tasks make use of massively
pre-t...
Cancer is increasingly a global health issue. Seconding cardiovascular
d...
In recent years, multilingual pre-trained language models have gained
pr...
In this paper, we focus on the task of multilingual machine translation ...
Using mel-spectrograms over conventional MFCCs features, we assess the
a...
With the success of large-scale pre-training and multilingual modeling i...
We take a step towards addressing the under-representation of the Africa...
Building effective neural machine translation (NMT) models for very
low-...
Language is inherent and compulsory for human communication. Whether
exp...
From Word2Vec to GloVe, word embedding models have played key roles in t...
Each year, over 2.5 million people, most of them in developed countries,...
Over the years, there have been campaigns to include the African languag...
All over the world and especially in Africa, researchers are putting eff...
Africa has the highest linguistic diversity in the world. On account of ...