| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| nava (0) - 30 freq nana (1) - 11 freq naa (1) - 31 freq napa (1) - 3 freq nova (1) - 7 freq lava (1) - 4 freq nav (1) - 3 freq naval (1) - 8 freq nasa (1) - 17 freq navy (1) - 45 freq nva (1) - 2 freq cava (1) - 1 freq java (1) - 1 freq nave (1) - 1 freq ava (1) - 490 freq haha (2) - 66 freq diva (2) - 1 freq dave (2) - 62 freq nasal (2) - 9 freq cva (2) - 1 freq lavy (2) - 3 freq navel (2) - 1 freq yaval (2) - 1 freq haka (2) - 1 freq para (2) - 12 freq |
nava (0) - 30 freq nav (1) - 3 freq nva (1) - 2 freq navy (1) - 45 freq nova (1) - 7 freq nave (1) - 1 freq naive (2) - 11 freq nev (2) - 6 freq nv (2) - 5 freq nove (2) - 1 freq niv (2) - 5 freq neave (2) - 3 freq nov (2) - 4 freq nana (2) - 11 freq ava (2) - 490 freq java (2) - 1 freq napa (2) - 3 freq naa (2) - 31 freq naval (2) - 8 freq lava (2) - 4 freq nasa (2) - 17 freq cava (2) - 1 freq davy (3) - 70 freq n'a (3) - 2 freq nad (3) - 1 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 |
NAVA |
| Time to execute Levenshtein function - 0.351431 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 - 0.531615 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 - 0.060853 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 - 0.038430 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. |