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bharatSetu: a 1M x 22 bridge for indic translation
TL;DR
BharatSetu 22-Indic 1M is a comprehensive dataset providing nearly 1 million English sentences translated into 22 Indian languages, addressing the lack of parallel data for lower-resource languages. It enables translation pairs through a machine-generated corpus, facilitating improved multilingual communication.
✦ Why It Matters
Explore BharatSetu to enhance multilingual applications and improve translation quality in lower-resource languages today.
Key Takeaways
- Utilize BharatSetu for developing multilingual applications.
- Implement the confidence layer to assess translation reliability.
- Contribute to the human-correction layer for improved data quality.
- Explore lower-resource languages for potential research opportunities.
How It Works
BharatSetu generates translations using the sarvamai/sarvam-translate model family, aligning English sentences with their translations in 22 languages. Each row in the dataset contains the same English sentence translated into multiple languages, allowing for the creation of translation pairs, including those between Indic languages without direct bitext.