Per-language unsupervised morphology models — productive suffixes, prefixes, and a stem lexicon,
each learned MDL-free ("Linguistica"-style: a suffix is productive if it attaches to many paradigm stems)
from that language's own Bible text. No labels, no pretrained model, no download — so it runs on any
language with a translation, including those with zero LLM/encoder coverage.
stem(word) strips one productive affix when the remainder is a known stem; inflected… See the full description on the dataset page:
https://huggingface.co/datasets/bcv-commons/target-morphology.
