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B. Sarma

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Open access Jul 2026

Minimal-Supervision Part-of-Speech Tagging for Assamese Language: An Evidence-Gated Cascade with Classifier Backfill

This study evaluates the extent to which a length-stratified, minimally-supervised pipeline can recover tagging accuracy for the Assamese language using a labeled seed of only 3 to 5 sentences per distinct sentence length, compared to a weak-supervision classifier trained on a conventional 80% corpus split.

B. Sarma, Rupam Baruah, Diganta Baishya · 0 citations

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