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The African Stopwords project: curating stopwords for African languages

arXiv 2304.12155 ↗First posted 21 Mar 2023cs.CL cs.LGcited by 3

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Abstract (arXiv)

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 textitAfrican 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.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 21 Mar 2023.

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4 of 22 references.

References · 4

  1. 2022NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysiscited by 64
  2. 2020KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundicited by 31
  3. 2020Stopwords in Technical Language Processingcited by 29
  4. 2019hauWE: Hausa Words Embedding for Natural Language Processingcited by 5

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3 papers.