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New dataset bridges translation gaps for 22 Indian languages

By PulseAugur Editorial · [1 sources] ·

Researchers have developed BharatSetu 22-Indic 1M, a large dataset designed to facilitate translation between 22 languages listed in India's Eighth Schedule. The dataset contains nearly one million English sentences, each translated into all 22 languages, creating over 400 Indic-to-Indic translation pairs. This resource was generated using the sarvamai/sarvam-translate model and is intended as a machine-generated layer, with a proposed human-correction layer to improve accuracy. AI

IMPACT This dataset could significantly improve translation capabilities and accessibility for numerous Indian languages, fostering better communication and access to information.

RANK_REASON The cluster describes a new research paper detailing a dataset for Indic language translation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset bridges translation gaps for 22 Indian languages

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The cluster describes a new research paper detailing a dataset for Indic language translation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Haq Nawaz Malik, Nahfid Nissar, Faizan Iqbal ·

    bharatSetu: a 1M x 22 bridge for indic translation

    arXiv:2610.15705v1 Announce Type: cross Abstract: India's Eighth Schedule recognises 22 languages, yet parallel data is uneven across them, and many language pairs, especially among lower-resource languages such as Bodo, Dogri, Santali and Kashmiri, lack direct bitext. We present…

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