This article explores enhancing e-governance in India by improving search functionality for vernacular languages. It highlights the challenge of matching diverse user queries, which may be in local languages or transliterated English, to official government scheme descriptions. The author proposes moving beyond traditional keyword search to a hybrid approach combining sparse-vector and dense representations to make retrieval more robust for multilingual and transliterated queries. AI
IMPACT Enhances accessibility of government services for vernacular speakers, potentially increasing citizen engagement and uptake of schemes.
RANK_REASON The item describes a technical approach to a specific problem within e-governance, detailing a dataset and methods for improving search. [lever_c_demoted from research: ic=1 ai=0.4]
- E-Governance
- India
- Indian Government MyScheme Dataset
- Lexical Search
- Sparse-Vector Hybrid Search
- Vernacular India
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