Our English lexical resources, ready to use.
These are the resources behind OMEGA's English corrector, dictation and Hangman — built the way the French ones were, but for English: a spelling lexicon of ~124,000 surfaces with IPA and subtitle frequency, homophone groups, inflected forms, character and phoneme n-grams, and a data-driven grapheme→phoneme table. Small, plain files — free to reuse for any project.
Served as individual files (link each below). No personal data: nothing comes from a private corpus.
What's available
| File | Content | Source |
|---|---|---|
lex_en.tsv.gz | Spelling lexicon — ~124,000 surfaces, columns surface·pos·ipa·lemma·tags·gender·freq. | Wiktionary · SUBTLEX-US · CMUdict |
homophones_en.json | ~5,500 symmetric homophone groups (their↔there↔they're, right↔rite↔write). | Wiktionary |
forms_en.tsv.gz | ~91,000 lemmas with inflected forms (go→went→gone, big→bigger→biggest). | Wiktionary |
ngrams_ortho_en.json.gz | Character n-grams (uni/bi/tri) with word boundaries — graphotactics. | Wiktionary · SUBTLEX-US |
ngrams_phon_en.json.gz | Phoneme n-grams over a normalised 40-phoneme General-American inventory — phonotactics. | Wiktionary · CMUdict |
g2p_en.json | Data-driven grapheme→phoneme table (context-dependent IPA + surprisal), aligned by EM over 30,000 word↔IPA pairs. | derived from lex_en |
Plain formats: TSV and JSON (the .gz files decompress with any tool, gunzip included).
Free to reuse
We did the heavy lifting — extracting, cross-referencing, normalising the IPA to a clean 40-phoneme inventory, learning the grapheme→phoneme alignment. It's that version we're sharing, ready to use, not the raw material.
Built from the English Wiktionary (via kaikki.org), SUBTLEX-US subtitle frequencies, and the CMU Pronouncing Dictionary. Wiktionary/kaikki content is CC BY-SA 4.0: keep derivatives open and credit OMEGA-Ω + these sources if you reuse.