most citedAdapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2024

1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis

Sewade Ogun, Abraham T. Owodunni, Tobi Olatunji +6

Recent advances in speech synthesis have enabled many useful applications like audio directions in Google Maps, screen readers, and automated content generation on platforms like T…

cs.CL20242 cited

Generative AI and Teachers -- For Us or Against Us? A Case Study

Jenny Pettersson, Elias Hult, Tim Eriksson +1

We present insightful results of a survey on the adoption of generative artificial intelligence (GenAI) by university teachers in their teaching activities. The transformation of e…

cs.CL2023

NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset

Sana Sabah Al-Azzawi, György Kovács, Filip Nilsson +2

In this paper, we propose a methodology for task 10 of SemEval23, focusing on detecting and classifying online sexism in social media posts. The task is tackling a serious issue, a…

cs.CL2023

Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages

Israel Abebe Azime, Sana Sabah Al-Azzawi, Atnafu Lambebo Tonja +8

AfriSenti-SemEval Shared Task 12 of SemEval-2023. The task aims to perform monolingual sentiment classification (sub-task A) for 12 African languages, multilingual sentiment classi…

cs.CL20232 cited

Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages

Colin Leong, Herumb Shandilya, Bonaventure F. P. Dossou +10

Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources…