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  • 2304.12155v1

    Accepted author manuscript, 78.3 KB, PDF document


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The African Stopwords project: curating stopwords for African languages

Research output: Working paperPreprint

  • Chris Emezue
  • Hellina Nigatu
  • Cynthia Thinwa
  • Helper Zhou
  • Shamsuddeen Muhammad
  • Lerato Louis
  • Idris Abdulmumin
  • Samuel Oyerinde
  • Benjamin Ajibade
  • Olanrewaju Samuel
  • Oviawe Joshua
  • Emeka Onwuegbuzia
  • Handel Emezue
  • Ifeoluwatayo A. Ige
  • Atnafu Lambebo Tonja
  • Bonaventure F. P. Dossou
  • Naome A. Etori
  • Mbonu Chinedu Emmanuel
  • Oreen Yousuf
  • Kaosarat Aina
  • Davis David
Publication date21/03/2023
<mark>Original language</mark>English


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.

Bibliographic note

Accepted at the AfricaNLP workshop at ICLR2022