Author

Anoop Kunchukuttan

Microsoft

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Review Oct 2026

Scaling Synthetic Pre-training Data and Evaluation for Indic LLMs

Building capable language models for India requires scalable multilingual data and robust evaluation. We introduce Nemotron-Pretraining-Indic-v1, a synthetic pretraining corpus of approximately 2.83 trillion tokens covering all 22 scheduled Indian languages in native script and twelve in romanized form. It is the large...

Abhinav Khattar, Aishwarya Chhabra, A. Velingker et al. · 0 citations

INDICQE-APE: A Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages

The WMT 2020–2024 shared-task lineage with an extended English–Malayalam resource is consolidated into INDICQE-APE, with up to four label types aligned on the same segment, a direct assessment, a human post-edit, word-level OK/BAD tags and an error explanation, and a test set stratified over four difficulty axes.

Diptesh Kanojia, Archchana Sindhujan, S. Deoghare et al. · 0 citations

#natural language process... Preprint Aug 2026

IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages

The WMT 2020-2024 shared-task lineage with an extended English-Malayalam resource is consolidated into IndicQE-APE, with up to four label types aligned on the same segment, a direct assessment, a human post-edit, word-level tags and an error explanation, and a test set stratified over four difficulty axes.

Diptesh Kanojia, Archchana Sindhujan, S. Deoghare et al. · 0 citations