Datasets:
| license: cc0-1.0 | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - stopwords | |
| - unsupervised | |
| - multilingual | |
| - bible | |
| # target-stopwords | |
| Per-language **function-word lists**, induced from that language's own Bible text — frequency + | |
| dispersion (the classic corpus-linguistics stopword-induction recipe), then RESCUED against the | |
| language's own alignment output + a source-anchored content signal so genuinely frequent CONTENT words | |
| ("God", "Lord") are never dropped. See the lexeme-aligner's `target_stopwords.py` for the mechanism: a | |
| candidate is rescued if it concentrates most of its aligned mass on one prior-pack content lexeme (≥40% | |
| share) — a true function word instead scatters thinly across dozens of distinct lexemes. | |
| Many of the covered languages have **no existing curated stopword list anywhere** — this is a reusable | |
| resource for search, IR, topic modeling, or any NLP task needing one in these languages. | |
| **CC0-1.0** — derived word-frequency statistics, no source text redistributed. See `manifest.json` for | |
| per-language stats + content hashes. | |