Rohit Ghumare 54f39aa09e feat(phase-05/18): multilingual NLP ...

Cross-lingual transfer, zero-shot and few-shot fine-tuning, and the
2026 research finding that English is often the wrong default source
language. Demonstrates source-language selection via a simplified
qWALS-style similarity computation that correctly identifies Hindi as
the best source for Marathi (not English).

Model survey: mBERT, XLM-R, XLM-V, mT5, NLLB-200, BLOOM, Aya-23.
Decision table mapping task type to the right starting checkpoint.

Names the one production decision teams get wrong (aggregate metrics
hiding long-tail failures) and the tokenization gap (low-resource
scripts needing byte-fallback or byte-level tokenizers).

Ship artifact: multilingual-picker skill that refuses shipping without
per-language evaluation and flags low-coverage scripts.

~45 minutes. Prerequisites lesson 05/04 and 05/11. Completes phase 5.

2026-04-22 17:39:34 +01:00

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feat(phase-05/18): multilingual NLP

2026-04-22 17:39:34 +01:00