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Mwando: Leveraging AI to Preserve and Teach shiKomori

arXiv 2607.23481 ↗First posted 26 Jul 2026cs.CLcited by 0

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Abstract (arXiv)

This paper presents Mwando, a virtual educational assistant designed to support the teaching and preservation of shiKomori, the language of the Comoros Islands. The system covers the four main dialectal variants (shiNgazidja, shiMwali, shiNdzuani and shiMaore) through a knowledge base constructed from phrases, proverbs, dictionaries and grammar lessons. A multi-agent architecture combining vector search, a knowledge graph and web search fallback enables accurate and context-aware responses. Evaluation on 500 queries demonstrates strong performance on vocabulary lookup and grammar explanations, while qualitative case studies illustrate both capabilities and current limitations. This work represents an initial step toward computational support for shiKomori and provides a blueprint for developing AI-powered educational tools for other low-resource languages.

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References · 3

  1. 2025Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Modelscited by 1,261
  2. 2024A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Datacited by 10
  3. 2025Where Are We? Evaluating LLM Performance on African Languagescited by 10

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