Low-resource Languages

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 …
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The Zeno’s Paradox of ‘Low-Resource’ Languages
The disparity in the languages commonly studied in Natural Language Processing (NLP) is typically reflected by referring to languages …
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Preparing the Vuk'uzenzele and ZA-gov-multilingual South African Multilingual Corpora
This paper introduces two multilingual government themed corpora in various South African languages. The corpora were collected by …
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Participatory Translations of Oshiwambo: Towards Culture Preservation with Language Technology
In this paper, we describe a participatory, collaborative, and cost-effective process for creating translations in Oshiwambo, the most …
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Analysing the Effects of Transfer Learning on Low-Resourced Named Entity Recognition Performance
Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to …
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Effect of Tokenisation Strategies for Low-Resourced Southern African Languages
Research into machine translation for African languages is very limited and low- resourced in terms of datasets and model evaluations. …
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