| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| nave (0) - 1 freq neave (1) - 3 freq gave (1) - 241 freq mave (1) - 1 freq dave (1) - 62 freq nove (1) - 1 freq lave (1) - 227 freq naive (1) - 11 freq nav (1) - 3 freq name (1) - 1220 freq have (1) - 1251 freq knave (1) - 48 freq ave (1) - 42 freq pave (1) - 1 freq nate (1) - 9 freq fave (1) - 14 freq cave (1) - 79 freq save (1) - 224 freq nae (1) - 9872 freq nape (1) - 2 freq nava (1) - 30 freq wave (1) - 132 freq naver (1) - 3 freq nare (1) - 1 freq navy (1) - 45 freq |
nave (0) - 1 freq naive (1) - 11 freq nav (1) - 3 freq nove (1) - 1 freq navy (1) - 45 freq neave (1) - 3 freq nava (1) - 30 freq 'ave (2) - 5 freq navel (2) - 1 freq rave (2) - 10 freq nare (2) - 1 freq nane (2) - 547 freq naze (2) - 1 freq nv (2) - 5 freq nova (2) - 7 freq nva (2) - 2 freq nieve (2) - 29 freq neive (2) - 21 freq naver (2) - 3 freq nev (2) - 6 freq nov (2) - 4 freq niv (2) - 5 freq name (2) - 1220 freq wave (2) - 132 freq knave (2) - 48 freq |
SoundEx code - N100 neb - 278 freq nebbie - 9 freq nieve - 29 freq neive - 21 freq nup - 12 freq nip - 119 freq nabbie - 7 freq neep - 130 freq nyaff - 24 freq nippy - 29 freq nappy - 15 freq nab - 10 freq navy - 45 freq 'nup - 1 freq 'nuff - 1 freq nephew - 28 freq nebby - 2 freq newbie - 3 freq nfu - 1 freq nov - 4 freq noup - 2 freq nape - 2 freq nub - 5 freq nippie - 6 freq nowp - 1 freq naive - 11 freq nova - 7 freq noop - 1 freq nevahhh - 1 freq nubbie - 1 freq nib - 10 freq nove - 1 freq naïve - 5 freq neave - 3 freq no've - 2 freq nop - 1 freq naff - 2 freq nebfu - 1 freq nob - 1 freq neib - 1 freq nappie - 1 freq nap - 17 freq nope - 18 freq nev - 6 freq nav - 3 freq neep' - 1 freq nebe - 4 freq niep - 2 freq naïf - 1 freq napa - 3 freq nyaaf - 2 freq neeb - 2 freq niff - 1 freq nae-pea - 1 freq niv - 5 freq nevoy - 7 freq €œnip - 2 freq nava - 30 freq €™nyf - 1 freq €œnaeb - 1 freq €˜nup - 2 freq naeb - 8 freq napp - 2 freq nouveau - 3 freq €˜nippy - 3 freq nave - 1 freq naffu - 1 freq nibbie - 1 freq navvy - 1 freq nb - 4 freq nev-foo - 1 freq nebo - 1 freq new-faa - 1 freq nv - 5 freq nnpw - 1 freq nf - 2 freq np - 5 freq nvw - 1 freq nva - 2 freq nuf - 1 freq neap - 1 freq noyfea - 1 freq npu - 1 freq nhv - 1 freq nfb - 1 freq 'nip - 2 freq 'neep' - 3 freq nobby - 1 freq naafi - 1 freq |
MetaPhone code - NF knife - 104 freq nieve - 29 freq neive - 21 freq knave - 48 freq navy - 45 freq 'nuff - 1 freq nephew - 28 freq nfu - 1 freq nigh - 18 freq gnef - 1 freq nov - 4 freq naive - 11 freq nova - 7 freq nevahhh - 1 freq 'knife - 1 freq nove - 1 freq naïve - 5 freq gnough - 1 freq neave - 3 freq no've - 2 freq neigh - 4 freq knif - 1 freq naff - 2 freq nev - 6 freq nav - 3 freq naïf - 1 freq niff - 1 freq niv - 5 freq nevoy - 7 freq €˜knifey - 1 freq hyne-aff - 1 freq nava - 30 freq €™nyf - 1 freq nouveau - 3 freq nave - 1 freq naffu - 1 freq navvy - 1 freq new-faa - 1 freq nv - 5 freq nf - 2 freq nvw - 1 freq nva - 2 freq nuf - 1 freq gnev - 1 freq wnvh - 1 freq noyfea - 1 freq nhv - 1 freq ngho - 1 freq pnfw - 1 freq naafi - 1 freq |
NAVE |
| Time to execute Levenshtein function - 0.394833 milliseconds The Levenshtein distance is the number of characters you have to replace, insert or delete to transform one word into another, its useful for detecting typos and alternative spellings |
Time to execute Double Levenshtein function - 0.738028 milliseconds In a stroke of genius, this runs the Levenshtein function twice, once without vowels and adds the distance together, giving double weight to consonants. |
Time to execute SoundEx function - 0.084619 milliseconds Soundex is a phonetic algorithm for indexing names by sound, as pronounced in English. The goal is for homophones to be encoded to the same representation so that they can be matched despite minor differences in spelling. |
Time to execute MetaPhone function - 0.094035 milliseconds Metaphone is a phonetic algorithm, published by Lawrence Philips in 1990, for indexing words by their English pronunciation.[1] It fundamentally improves on the Soundex algorithm by using information about variations and inconsistencies in English spelling and pronunciation to produce a more accurate encoding, which does a better job of matching words and names which sound similar. |
Time to execute Manually curated function - 0.000884 milliseconds Manual Curation uses a lookup table / lexicon which has been created by hand which links words to their lemmas, and includes obvious typos and spelling variations. Not all words are covered. |