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From Local to Global: Navigating Linguistic Diversity in the African Context

arXiv 2305.01427 ↗First posted 2 May 2023cs.CL cs.LGcited by 0

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Abstract (arXiv)

The focus is on critical problems in NLP related to linguistic diversity and variation across the African continent, specifically with regards to African local dialects and Arabic dialects that have received little attention. We evaluated our various approaches, demonstrating their effectiveness while highlighting the potential impact of the proposed approach on businesses seeking to improve customer experience and product development in African local dialects. The idea of using the model as a teaching tool for product-based instruction is interesting, as it could potentially stimulate interest in learners and trigger techno entrepreneurship. Overall, our modified approach offers a promising analysis of the challenges of dealing with African local dialects. Particularly Arabic dialects, which could have a significant impact on businesses seeking to improve customer experience and product development.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 43 references that are in the map. First posted on arXiv 2 May 2023.

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References · 7

  1. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  2. 2016Enriching Word Vectors with Subword Informationcited by 1,578
  3. 2016Bag of Tricks for Efficient Text Classificationcited by 869
  4. 2018Learning Word Vectors for 157 Languagescited by 279
  5. 2020Participatory Research for Low-resourced Machine Translation: A Case Study in African Languagescited by 159
  6. 2022Towards Afrocentric NLP for African Languages: Where We Are and Where We Can Gocited by 46
  7. 2020TUNIZI: a Tunisian Arabizi sentiment analysis Datasetcited by 11

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