Bridging Gaps in Natural Language Processing for Yor\`ub\'a: A Systematic Review of a Decade of Progress and Prospects

A systematic review analyzing a decade of Natural Language Processing (NLP) development for the Yorùbá language highlights significant challenges such as resource scarcity and linguistic complexities, while also identifying growing multilingual resources and opportunities for future research. The key takeaway for content creators is the need to address under-resourced languages like Yorùbá by enhancing annotated datasets and developing culturally relevant NLP tools.

Read the full article at arXiv cs.CL (NLP)

---

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.