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arXiv cs.CL
arXiv cs.CL
6/26/2026
From Lexicon to AI: A Structured-Data Pipeline for Specialized Conversational Systems in Low-Resource Languages

From Lexicon to AI: A Structured-Data Pipeline for Specialized Conversational Systems in Low-Resource Languages

Short summary

Researchers developed a pipeline converting Hindi WordNet into 1.25M instruction-response pairs to train specialized conversational AI, achieving 91% pedagogical effectiveness. The methodology demonstrates that structured linguistic resources overcome low-resource language constraints without massive training corpora. Approach generalizes to 100+ languages with existing WordNet resources.

  • •Hindi WordNet transformed into 1.25M training pairs using LoRA + 4-bit quantization
  • •Language-learning chatbot achieved 91% effectiveness vs 79-84% for general-purpose models
  • •Reproducible methodology for low-resource language AI development across multiple language communities

Generated with AI, which can make mistakes.

#research-breakthrough#ai-tools#ai-agents#certification-education
Read full article at arXiv cs.CL

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