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

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Showing 2023Show all

8 papers · 1 filter

cs.CL2023★ 1 cited

PuoBERTa: Training and evaluation of a curated language model for Setswana

Vukosi Marivate, Moseli Mots'Oehli, Valencia Wagner +2

Natural language processing (NLP) has made significant progress for well-resourced languages such as English but lagged behind for low-resource languages like Setswana. This paper…

cs.CL2023★ 1 cited

Investigating the Efficacy of Large Language Models in Reflective Assessment Methods through Chain of Thoughts Prompting

Baphumelele Masikisiki, Vukosi Marivate, Yvette Hlope

Large Language Models, such as Generative Pre-trained Transformer 3 (aka. GPT-3), have been developed to understand language through the analysis of extensive text data, allowing t…

cs.CL2023

Integrating Bidirectional Long Short-Term Memory with Subword Embedding for Authorship Attribution

Abiodun Modupe, Turgay Celik, Vukosi Marivate +1

The problem of unveiling the author of a given text document from multiple candidate authors is called authorship attribution. Manifold word-based stylistic markers have been succe…

cs.CL2023

Izindaba-Tindzaba: Machine learning news categorisation for Long and Short Text for isiZulu and Siswati

Andani Madodonga, Vukosi Marivate, Matthew Adendorff

Local/Native South African languages are classified as low-resource languages. As such, it is essential to build the resources for these languages so that they can benefit from adv…

cs.CL2023

Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili

Catherine Gitau, VUkosi Marivate

In this work we investigate the impact of applying textual data augmentation tasks to low resource machine translation. There has been recent interest in investigating approaches f…

cs.CL2023★ 1 cited

MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African Languages

Cheikh M. Bamba Dione, David Adelani, Peter Nabende +41

In this paper, we present MasakhaPOS, the largest part-of-speech (POS) dataset for 20 typologically diverse African languages. We discuss the challenges in annotating POS for these…

cs.CL2023★ 2 cited

MphayaNER: Named Entity Recognition for Tshivenda

Rendani Mbuvha, David I. Adelani, Tendani Mutavhatsindi +7

Named Entity Recognition (NER) plays a vital role in various Natural Language Processing tasks such as information retrieval, text classification, and question answering. However,…

cs.CL2023

Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corpora

Richard Lastrucci, Isheanesu Dzingirai, Jenalea Rajab +4

This paper introduces two multilingual government themed corpora in various South African languages. The corpora were collected by gathering the South African Government newspaper…