用AI构建四方言教学助手，助力科摩罗语传承
Mwando: Leveraging AI to Preserve and Teach shiKomori
- 构建多代理系统融合向量检索与知识图谱
- 500条查询测试中词汇与语法解答准确率高
- 适合小语种教育工具开发者参考
本文提出Mwando，一个虚拟教育助手，旨在支持科摩罗群岛语言shiKomori的教学与保存。系统涵盖四种主要方言（shiNgazidja、shiMwali、shiNdzuani和shiMaore），基于短语、谚语、词典和语法课程构建知识库。采用结合向量搜索、知识图谱与网络搜索回退的多智能体架构，实现精准上下文响应。在500个查询上的评估显示其在词汇查找和语法解释方面表现良好，定性案例研究则揭示了当前能力与局限。该工作为shiKomori的计算支持迈出第一步，并为其他低资源语言的AI教育工具开发提供蓝图。
原文摘要 · Abstract (English)
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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