Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
feem (0) - 11 freq ferm (1) - 340 freq frem (1) - 2 freq feems (1) - 1 freq heem (1) - 17 freq deem (1) - 19 freq feed (1) - 225 freq neem (1) - 22 freq seem (1) - 404 freq beem (1) - 5 freq geem (1) - 5 freq fees (1) - 13 freq faem (1) - 25 freq teem (1) - 47 freq weem (1) - 11 freq feer (1) - 4 freq fee (1) - 41 freq feel (1) - 1303 freq flem (1) - 1 freq feet (1) - 960 freq drem (2) - 7 freq fecel (2) - 1 freq beek (2) - 64 freq eec (2) - 2 freq perm (2) - 3 freq |
feem (0) - 11 freq faem (1) - 25 freq fee (2) - 41 freq foam (2) - 16 freq flem (2) - 1 freq faim (2) - 1 freq feel (2) - 1303 freq fom (2) - 2 freq femi (2) - 1 freq fum (2) - 1 freq fm (2) - 90 freq fam (2) - 23 freq faemy (2) - 2 freq fim (2) - 4 freq feer (2) - 4 freq feet (2) - 960 freq weem (2) - 11 freq heem (2) - 17 freq feems (2) - 1 freq seem (2) - 404 freq neem (2) - 22 freq feed (2) - 225 freq deem (2) - 19 freq beem (2) - 5 freq geem (2) - 5 freq |
SoundEx code - F500 fine - 1603 freq fawin - 88 freq fin - 1563 freq faa'n - 8 freq funny - 368 freq fan - 1367 freq faa'en - 1 freq fin' - 14 freq faain - 60 freq faan - 70 freq fun - 642 freq fawen - 9 freq faem - 25 freq fen - 47 freq funn - 25 freq fain - 44 freq 'fine - 6 freq feem - 11 freq fame - 48 freq fawn - 24 freq foon - 7 freq 'fan - 3 freq foun - 46 freq fyne - 38 freq faen - 7 freq faim - 1 freq foamy - 4 freq fa'in - 20 freq fyin - 1 freq faaen - 11 freq finn - 47 freq faw'n - 2 freq fume - 4 freq femme - 2 freq fouin - 1 freq foam - 16 freq fowne - 1 freq feyn - 7 freq fein - 3 freq fone - 8 freq fim - 4 freq faun - 40 freq fawin' - 1 freq faaahnnn - 1 freq fanny - 36 freq 'fiona - 1 freq fuin - 4 freq fam - 23 freq fiona - 42 freq fa'en - 4 freq '-fun - 1 freq fyn - 8 freq feein - 4 freq famou - 1 freq faemy - 2 freq foun' - 7 freq faun' - 2 freq fa'n - 1 freq funie - 1 freq fiann - 1 freq fon - 3 freq foan - 1 freq fawm - 2 freq fiown - 1 freq fionn - 1 freq funna - 1 freq faa'in - 2 freq f''an - 1 freq f'an - 1 freq fann - 1 freq fauna - 3 freq fee'in - 1 freq 'fin - 6 freq feinn - 1 freq €˜fan - 3 freq €˜fane - 1 freq fne - 1 freq €¦fin - 2 freq fenn - 1 freq fonn - 1 freq €œfine - 7 freq €œfun - 1 freq famie - 1 freq €œfam - 1 freq 'fame - 1 freq fun' - 1 freq f-in - 1 freq €œfin - 1 freq fa-in - 1 freq finnie - 1 freq féin - 1 freq €˜finn - 2 freq fianna - 1 freq fuan - 2 freq €˜fine - 1 freq fm - 90 freq feehan - 1 freq fvn - 1 freq fn - 4 freq fum - 1 freq fane - 1 freq fion - 2 freq fino - 1 freq femi - 1 freq fÂ’n - 1 freq fimo - 1 freq fom - 2 freq fhm - 1 freq fine' - 1 freq funow - 1 freq fonuu - 1 freq fhma - 1 freq fami - 1 freq finÂ’ - 1 freq |
MetaPhone code - FM faem - 25 freq vaam - 3 freq feem - 11 freq fame - 48 freq faim - 1 freq foamy - 4 freq hvamm - 1 freq fume - 4 freq femme - 2 freq foam - 16 freq fim - 4 freq fam - 23 freq famou - 1 freq vom - 1 freq faemy - 2 freq fawm - 2 freq phemie - 2 freq phem - 1 freq famie - 1 freq €œfam - 1 freq 'fame - 1 freq vim - 1 freq fm - 90 freq vmmw - 1 freq vm - 11 freq vem - 1 freq fum - 1 freq yywvm - 1 freq femi - 1 freq fimo - 1 freq fom - 2 freq fhm - 1 freq vimeo - 2 freq fhma - 1 freq fami - 1 freq |
FEEM |
Time to execute Levenshtein function - 0.322889 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 - 0.431588 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 - 0.028859 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 - 0.039472 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. |