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Bootstrapping NLP tools across low-resourced African languages: an overview and prospects

2022/10/21 by C. Maria Keet, Keet, C. Maria
Arts and Humanities · Computer Science · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Language and cultural evolution #Natural Language Processing Techniques #linguistics and terminology studies

paper · pdf · doi:10.48550/arxiv.2210.12027

openalex publication_date 2022/10/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Computing and Internet access are substantially growing markets in Southern Africa, which brings with it increasing demands for local content and tools in indigenous African languages. Since most of those languages are low-resourced, efforts have gone into the notion of bootstrapping tools for one African language from another. This paper provides an overview of these efforts for Niger-Congo B (`Bantu') languages. Bootstrapping grammars for geographically distant languages has been shown to still have positive outcomes for morphology and rules or grammar-based natural language generation. Bootstrapping with data-driven approaches to NLP tasks is difficult to use meaningfully regardless geographic proximity, which is largely due to lexical diversity due to both orthography and vocabulary. Cladistic approaches in comparative linguistics may inform bootstrapping strategies and similarity measures might serve as proxy for bootstrapping potential as well, with both fertile ground for further research.

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