Observatories covering Rapanui
7 observatories measure NLP. Cards linking straight to this selection have data for it.
spaCy
Open index →No data for this selection
85 language directories; presence of tokenizer_exceptions and a lemmatizer distinguishes a real pipeline from a stub.
Stanza
Open index →No data for this selection
Per-language pipeline resource listing (tokenize/mwt/pos/lemma/depparse/ner/sentiment/constituency/coref) -- the cleanest pipeline-capability source.
NLLB-200
Open index →No data for this selection
Meta's No Language Left Behind translation models covering ~200 languages (FLORES-aligned).
FLORES-200
Open index →No data for this selection
Evaluation benchmark for ~200 languages — the de facto baseline for whether a language is evaluable at all.
Belebele
Open index →No data for this selection
Reading comprehension across 100+ language variants. Presence means evaluable, not merely trainable.