| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| shoemaker-levy (0) - 1 freq shemale (7) - 1 freq shoartly (7) - 2 freq homemaker (7) - 1 freq shouler-lenth (7) - 1 freq makar-like (8) - 1 freq seerly (8) - 13 freq charley (8) - 1 freq hunker-sled (8) - 1 freq sorley (8) - 2 freq sheddocksley (8) - 1 freq sedately (8) - 1 freq formerly (8) - 3 freq shoapkeepers (8) - 1 freq shoelaces (8) - 1 freq shakers (8) - 2 freq shokel (8) - 1 freq sheep-hurdle (8) - 1 freq prematurely (8) - 1 freq shee-eep (8) - 1 freq berkeley (8) - 3 freq shirley (8) - 9 freq thematically (8) - 2 freq shooderbeens (8) - 1 freq summarily (8) - 1 freq |
shoemaker-levy (0) - 1 freq shore-line (11) - 1 freq makar-like (11) - 1 freq shoartly (11) - 2 freq shemale (11) - 1 freq shortly (12) - 33 freq sharply (12) - 7 freq sheerlin (12) - 3 freq smairtly (12) - 3 freq shockingly (12) - 1 freq sharleen (12) - 1 freq spaeker'll (12) - 1 freq shocker (12) - 4 freq shimley (12) - 1 freq sharple (12) - 1 freq somerfield (12) - 5 freq soar-lik (12) - 1 freq sherply (12) - 8 freq seemilarly (12) - 1 freq shimmered (12) - 2 freq shamefully (12) - 2 freq shale-ile (12) - 1 freq shurley (12) - 6 freq shairply (12) - 15 freq shairly (12) - 107 freq |
SoundEx code - S526 snickerin - 5 freq smacher - 2 freq singers - 55 freq singer - 47 freq singer's - 2 freq snocherin - 7 freq smokers' - 4 freq sincerely - 8 freq sincere - 13 freq sneegart - 1 freq sneegert - 1 freq sniggerin - 6 freq sincerity - 3 freq snochert - 1 freq snickert - 1 freq smoker - 2 freq smasher - 4 freq sanquhar - 9 freq semi-circles - 1 freq smickered - 1 freq smickert - 1 freq snicheren - 2 freq smokers - 8 freq sing-greet - 1 freq sniggers - 5 freq smugger - 1 freq smickerin - 2 freq sangria - 2 freq snichered - 2 freq snicher - 3 freq skincare - 1 freq smachrie - 2 freq sniggered - 4 freq singers' - 2 freq sniggern - 9 freq sniggert - 5 freq smoker's - 2 freq snooker - 16 freq synchronised - 1 freq snocher - 6 freq snochered - 1 freq smackaroonies - 2 freq snicker - 1 freq shae-makker - 1 freq shae-maakers - 1 freq smaikrie - 1 freq sensory-seutid - 1 freq sneegired - 1 freq sneegirs - 1 freq sanger - 1 freq sheanchara - 1 freq snicheran - 1 freq snicherin - 1 freq snickered - 1 freq snigger' - 1 freq snichert - 2 freq sanchar - 1 freq smacker - 3 freq syncretism - 1 freq snashers - 1 freq snickerin' - 1 freq shoemaker-levy - 1 freq smacherie - 1 freq synchronise - 1 freq snookert - 1 freq sensoryattachmentintervention - 1 freq sensory - 4 freq snochrie - 12 freq singer-sangwriters - 1 freq sanskrit - 1 freq semi-circle - 1 freq somequhaar - 1 freq smicker - 1 freq €œsincerely - 1 freq synchronically - 1 freq smacherry - 2 freq sunscreem - 6 freq smokiered - 16 freq samcornwell - 1 freq skinnycortado - 1 freq sincerest - 1 freq shingaurds - 1 freq smoocher - 3 freq shaunwkearney - 1 freq sunnygradio - 1 freq sensored - 1 freq sonjahern - 1 freq sinker - 1 freq samgray - 29 freq seanmccrory - 1 freq snookers - 1 freq sensors - 1 freq snickers - 1 freq sammgreer - 14 freq suncream - 1 freq |
MetaPhone code - XMKRLF shoemaker-levy - 1 freq |
SHOEMAKER-LEVY |
| Time to execute Levenshtein function - 0.254854 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 - 0.437188 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 - 0.028994 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 - 0.037333 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 - 0.000889 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. |