activity
20202026
most citedNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

25 citations · 55 across the 38 of their papers we have counts for

collaborators
Showing 2024Show all

8 papers · 1 filter

cs.CL2024

Analysing Public Transport User Sentiment on Low Resource Multilingual Data

Rozina L. Myoya, Vukosi Marivate, Idris Abdulmumin

Public transport systems in many Sub-Saharan countries often receive less attention compared to other sectors, underscoring the need for innovative solutions to improve the Quality…

cs.HC2024

AI and the Future of Work in Africa White Paper

Jacki O'Neill, Vukosi Marivate, Barbara Glover +71

This white paper is the output of a multidisciplinary workshop in Nairobi (Nov 2023). Led by a cross-organisational team including Microsoft Research, NEPAD, Lelapa AI, and Univers…

cs.CL2024

From N-grams to Pre-trained Multilingual Models For Language Identification

Thapelo Sindane, Vukosi Marivate

In this paper, we investigate the use of N-gram models and Large Pre-trained Multilingual models for Language Identification (LID) across 11 South African languages. For N-gram mod…

cs.CL2024

Correcting FLORES Evaluation Dataset for Four African Languages

Idris Abdulmumin, Sthembiso Mkhwanazi, Mahlatse S. Mbooi +7

This paper describes the corrections made to the FLORES evaluation (dev and devtest) dataset for four African languages, namely Hausa, Northern Sotho (Sepedi), Xitsonga, and isiZul…

cs.CL2024

Cross-lingual transfer of multilingual models on low resource African Languages

Harish Thangaraj, Ananya Chenat, Jaskaran Singh Walia +1

Large multilingual models have significantly advanced natural language processing (NLP) research. However, their high resource demands and potential biases from diverse data source…

cs.CL2024★ 1 cited

InkubaLM: A small language model for low-resource African languages

Atnafu Lambebo Tonja, Bonaventure F. P. Dossou, Jessica Ojo +8

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 s…

cs.CL2024

Pula: Training Large Language Models for Setswana

Nathan Brown, Vukosi Marivate

In this work we present Pula, a suite of bilingual language models proficient in both Setswana and English. Leveraging recent advancements in data availability and efficient fine-t…

cs.CL2024★ 1 cited

Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot

Michelle Terblanche, Kayode Olaleye, Vukosi Marivate

Many multilingual communities, including numerous in Africa, frequently engage in code-switching during conversations. This behaviour stresses the need for natural language process…