| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| nieve (0) - 29 freq nieves (1) - 15 freq rieve (1) - 1 freq sieve (1) - 6 freq lieve (1) - 1 freq vieve (1) - 14 freq niece (1) - 11 freq heeve (2) - 1 freq nseva (2) - 1 freq nivg (2) - 1 freq nitre (2) - 1 freq greve (2) - 2 freq live (2) - 424 freq n'eye (2) - 1 freq piece (2) - 357 freq piove (2) - 1 freq geve (2) - 1 freq naive (2) - 11 freq grieve (2) - 53 freq liefe (2) - 1 freq neive (2) - 21 freq weve (2) - 2 freq nike (2) - 6 freq nece (2) - 1 freq nee (2) - 14 freq |
nieve (0) - 29 freq nave (2) - 1 freq neave (2) - 3 freq nove (2) - 1 freq naive (2) - 11 freq neive (2) - 21 freq nev (2) - 6 freq niv (2) - 5 freq niece (2) - 11 freq lieve (2) - 1 freq sieve (2) - 6 freq rieve (2) - 1 freq vieve (2) - 14 freq nieves (2) - 15 freq nile (3) - 14 freq vievie (3) - 1 freq no've (3) - 2 freq reeve (3) - 1 freq never (3) - 1661 freq deeve (3) - 5 freq eve (3) - 80 freq nevoy (3) - 7 freq ivve (3) - 1 freq veeve (3) - 5 freq niven (3) - 3 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 |
NIEVE |
| Time to execute Levenshtein function - 0.621416 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 - 1.259793 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 - 0.103158 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 - 0.109231 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 - 0.000878 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. |