In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

Large language models (LLMs) are at the forefront of transforming numerous domains
globally. However, their inclusivity and effectiveness remain limited for non-Latin scripts and …

Language identification is used as the first step in many data collection and crawling efforts
because it allows us to sort online text into language-specific buckets. However, many …

Foundation models are increasingly ubiquitous in our daily lives, used in everyday tasks
such as text-image searches, interactions with chatbots, and content generation. As use …

We provide a window into the process of constructing a dataset for machine learning (ML)
applications by reflecting on the process of building World Wide Dishes (WWD), an image …

Kenya, known for its linguistic diversity, faces unique challenges and promising
opportunities in advancing Natural Language Processing (NLP) technologies, particularly …

Recent advances in pre-training of word embeddings and language models leverage large
amounts of unlabelled texts and self-supervised learning to learn distributed representations …

In the last 5 years, the availability of large audio datasets in African countries has opened
unlimited opportunities to build machine intelligence (MI) technologies that are closer to the …

Kinyarwanda, as one of the official languages of Rwanda plays a significant role in the
country's cultural, educational, and administrative domains. With the increasing demand for …

Cross-Lingual Information Retrieval (CLIR) is the task of finding relevant documents written
in a language different from the query language. Neural machine translation systems and …