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- Published on August 25, 2025
- In AI Features
India’s AI Push Might Be Pointless Without National Language Standardisation
Lack of engagement in vernacular languages leads AI to depend upon synthetic data sets for development.
- By Mohit Pandey
India's AI ambitions will be incomplete without incorporating its vernacular languages in the ecosystem for the benefit of its vast population. And this endeavour still has an old problem to tackle – the lack of real world data on Indic languages.
Most of us may have struggled with copying text from a PDF in an Indic language like Hindi, Kannada, or Telugu, as it gets pasted as boxes and symbols. The problem may seem related to fonts, but it runs deeper than that, dating back to 1988.
The foundation itself is broken, according to Vivekanand Pani, co-founder and CTO of Reverie Language Technologies, who argued that the effort and investments in sovereign models and data collection would see limitations without fixing Indian language computing standards.
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Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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