The African Stopwords project : curating stopwords for African languages

Emezue, Chris and Nigatu, Hellina and Chukwuneke, Chiamaka and Thinwa, Cynthia and Zhou, Helper and Muhammad, Shamsuddeen and Louis, Lerato and Abdulmumin, Idris and Oyerinde, Samuel and Ajibade, Benjamin and Samuel, Olanrewaju and Joshua, Oviawe and Onwuegbuzia, Emeka and Emezue, Handel and Ige, Ifeoluwatayo A. and Tonja, Atnafu Lambebo and Dossou, Bonaventure F. P. and Etori, Naome A. and Emmanuel, Mbonu Chinedu and Yousuf, Oreen and Aina, Kaosarat and David, Davis (2023) The African Stopwords project : curating stopwords for African languages. Other. Arxiv.

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Stopwords are fundamental in Natural Language Processing (NLP) techniques for information retrieval. One of the common tasks in preprocessing of text data is the removal of stopwords. Currently, while high-resource languages like English benefit from the availability of several stopwords, low-resource languages, such as those found in the African continent, have none that are standardized and available for use in NLP packages. Stopwords in the context of African languages are understudied and can reveal information about the crossover between languages. The \textit{African Stopwords} project aims to study and curate stopwords for African languages. In this paper, we present our current progress on ten African languages as well as future plans for the project.

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Monograph (Other)
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Accepted at the AfricaNLP workshop at ICLR2022
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Deposited On:
26 May 2023 14:50
Last Modified:
16 Dec 2023 00:56