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Apertium · Aug 7, 06:32 UTC

English eng

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Figures

Entries in this language's own dictionary
68,651
across 1 monolingual repository
Entries in dictionaries shared with a partner language
3,696,928
across 76 translation-pair repositories; the same entries are also counted under each partner language
Repositories
77

Detail

Paradigm definitions
82630
Transfer rules
7138
Translation-pair repositories
76
Partner languages
afr, asm, ben, bhw, bul, cat, ckb, cnh, cym, deu, dzo, ell, epo, eus, fin, fra, fub, gle, glg, haa, hat, haw, hbo, hbs, hin, hun, hye, ibo, ina, ind, isl, ita, jpn, kaz, kir, kmr, lat, lav, lin, lit, lvs, mag, mal, mar, mfe, mkd, mlt, nep, nld, nor, pes, pol, por, rus, sah, sat, sco, sin, sjo, skr, spa, sqi, srn, swa, swe, tam, tat, tel, tha, tur, vie
Most recent repository push
2026-07-28T16:53:31Z

Notes from Apertium

  • "Entries in this language's own dictionary" and "entries in dictionaries shared with a partner language" are kept separate and should not be added together: a bilingual dictionary entry is a translation correspondence between two languages, not a lexical entry belonging to just this one, and the same correspondence is counted again under the partner language.
  • A language appearing in a translation-pair repository is not evidence that Apertium supports translation in both directions for that pair -- check bidirectional_evidence upstream before assuming symmetry.
  • A listed language pair is evidence that a repository exists for it, not evidence of translation quality or how complete the dictionaries and transfer rules are.
  • Dictionary entry counts are aggregated in this converter directly from Apertium's per-repository data (repositories.csv), not from the harvester's own languages.csv -- that file's aggregation step misclassifies monolingual dictionaries as bilingual and reports zero entries for every language. See the script docstring for details.

Provenance

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Source snapshot: apertium_2026-08-07_0645.json · harvested Aug 7, 06:32 UTC

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Opportunities, events, and experts across the digital language inclusion ecosystem, filtered to English.