| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| fawmous (0) - 10 freq faamous (1) - 1 freq awmous (1) - 4 freq famous (1) - 105 freq faumous (1) - 3 freq famour (2) - 1 freq fashous (2) - 1 freq famou (2) - 1 freq armous (2) - 1 freq gallous (3) - 1 freq nacrous (3) - 1 freq fawkes (3) - 7 freq sarious (3) - 1 freq faus (3) - 2 freq fawsont (3) - 1 freq fawmouslie (3) - 1 freq fallout (3) - 1 freq allous (3) - 27 freq faem's (3) - 1 freq normous (3) - 2 freq favours (3) - 22 freq mahmoud (3) - 1 freq lawbors (3) - 1 freq parlous (3) - 1 freq wous (3) - 3 freq |
fawmous (0) - 10 freq famous (2) - 105 freq faumous (2) - 3 freq awmous (2) - 4 freq faamous (2) - 1 freq feemus (4) - 1 freq faws (4) - 60 freq farms (4) - 2 freq fawkes (4) - 7 freq faw's (4) - 1 freq fawmouslie (4) - 1 freq armous (4) - 1 freq famou (4) - 1 freq famour (4) - 1 freq fashous (4) - 1 freq fawm (4) - 2 freq freemious (5) - 1 freq forms (5) - 113 freq fawse (5) - 3 freq ramos (5) - 2 freq famously (5) - 7 freq fermhous (5) - 4 freq furious (5) - 12 freq 'wous (5) - 1 freq faroes (5) - 7 freq |
SoundEx code - F520 fence - 154 freq feenish - 106 freq fancy - 281 freq faamous - 1 freq feeneesh - 12 freq finish - 76 freq fumes - 12 freq feinish - 13 freq faumous - 3 freq funcy - 90 freq fank - 25 freq famous - 105 freq 'fancy - 4 freq fans - 141 freq fangs - 16 freq fins - 37 freq feenich - 1 freq founess - 1 freq fang - 12 freq feemus - 1 freq 'fangs - 1 freq 'fines - 1 freq fainness - 3 freq fyoonach - 1 freq funs - 7 freq fines - 7 freq fenwick - 4 freq fawmous - 10 freq fownes - 2 freq fin's - 1 freq feenesh - 2 freq fume's - 4 freq faansee - 1 freq fansee - 1 freq funsee - 1 freq fauns - 1 freq fungs - 1 freq funk - 3 freq fanks - 9 freq finks - 5 freq fink - 72 freq fing - 25 freq fings - 10 freq fingi - 1 freq fannies - 12 freq feems - 1 freq fince - 5 freq fan's - 3 freq 'funcy - 1 freq finng - 1 freq funky - 9 freq funess - 1 freq foam's - 1 freq fauncy - 3 freq fancie - 17 freq fïnish - 1 freq finesse - 2 freq foons - 7 freq fanny's - 1 freq 'fancy' - 1 freq fens - 3 freq finiesh - 1 freq fngs - 1 freq fines' - 1 freq fionza - 1 freq faem's - 1 freq fancy' - 1 freq fons - 1 freq finnish - 11 freq finch - 1 freq founs - 9 freq fange - 1 freq faan's - 1 freq funns - 1 freq fung - 2 freq funcie - 1 freq fonns - 1 freq feinis - 2 freq finnock - 1 freq femmes - 1 freq €˜fancy - 2 freq fÃnish - 5 freq fansy - 1 freq fïng - 1 freq feyness - 1 freq fiona's - 1 freq fyang - 1 freq fiancé - 1 freq finns - 1 freq €œfancy - 1 freq €™fancy - 1 freq faun's - 3 freq fnqy - 1 freq finÂ’s - 1 freq fnk - 1 freq funzo - 1 freq fÂ’yang - 1 freq fannys - 1 freq fmq - 1 freq fm's - 1 freq fanniiiieees - 1 freq fiancée - 1 freq fnek - 1 freq fbmgc - 1 freq fomuhs - 1 freq fones - 1 freq |
MetaPhone code - FMS faamous - 1 freq fumes - 12 freq faumous - 3 freq famous - 105 freq feemus - 1 freq vamoose - 1 freq fawmous - 10 freq fume's - 4 freq feems - 1 freq foam's - 1 freq faem's - 1 freq femmes - 1 freq fm's - 1 freq vmas - 1 freq fomuhs - 1 freq |
FAWMOUS |
| Time to execute Levenshtein function - 0.204806 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 - 0.393273 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 - 0.029919 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 - 0.038817 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 - 0.001002 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. |