The African Stopwords project: curating stopwords for African languages

Chris Emezue, Hellina Nigatu, Cynthia Thinwa, Helper Zhou, Shamsuddeen Muhammad +17 more
3/21/2023
cs.CLcs.LG

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Abstract

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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Cite this paper

@article{emezue2023african,
  title  = {The African Stopwords project: curating stopwords for African languages},
  author = {Chris Emezue and Hellina Nigatu and Cynthia Thinwa and Helper Zhou and Shamsuddeen Muhammad and Lerato Louis and Idris Abdulmumin and Samuel Oyerinde and Benjamin Ajibade and Olanrewaju Samuel and Oviawe Joshua and Emeka Onwuegbuzia and Handel Emezue and Ifeoluwatayo A. Ige and Atnafu Lambebo Tonja and Chiamaka Chukwuneke and Bonaventure F. P. Dossou and Naome A. Etori and Mbonu Chinedu Emmanuel and Oreen Yousuf and Kaosarat Aina and Davis David},
  year   = {2023},
  eprint = {2304.12155},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2304.12155v1}
}

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