Search Results for author:
Found 8 papers, 5 papers with code
The Esethu Framework: Reimagining Sustainable Dataset Governance and Curation for Low-Resource Languages
This paper presents the Esethu Framework, a sustainable data curation framework specifically designed to empower local communities and ensure equitable benefit-sharing from their linguistic resources.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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InkubaLM: A small language model for low-resource African languages
High-resource language models often fall short in the African context, where there is a critical need for models that are efficient, accessible, and locally relevant, even amidst significant computing and data constraints.
A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation
We focus on two questions: 1) How can pre-trained models be used for languages not included in the initial pre-training?
AI4D -- African Language Program
Advances in speech and language technologies enable tools such as voice-search, text-to-speech, speech recognition and machine translation.
MasakhaNER: Named Entity Recognition for African Languages
We take a step towards addressing the under-representation of the African continent in NLP research by creating the first large publicly available high-quality dataset for named entity recognition (NER) in ten African languages, bringing together a variety of stakeholders.
Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages
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.
AI4D -- African Language Dataset Challenge
This work details the organisation of the AI4D - African Language Dataset Challenge, an effort to incentivize the creation, organization and discovery of African language datasets through a competitive challenge.
