Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
hvamm (0) - 1 freq hamm (1) - 1 freq amm (2) - 1 freq haim (2) - 39 freq mamm (2) - 1 freq himm (2) - 1 freq hammy (2) - 7 freq hame (2) - 2346 freq vaam (2) - 3 freq camm (2) - 1 freq hoam (2) - 4 freq hlmm (2) - 1 freq hmmmm (2) - 4 freq hmmm (2) - 7 freq hmm (2) - 22 freq nvmm (2) - 1 freq hams (2) - 10 freq harm (2) - 22 freq haimm (2) - 1 freq kvakm (2) - 1 freq hemm (2) - 12 freq haem (2) - 53 freq ham (2) - 49 freq lamm (2) - 3 freq champ (3) - 17 freq |
hvamm (0) - 1 freq hamm (2) - 1 freq hmmm (3) - 7 freq hmm (3) - 22 freq haimm (3) - 1 freq hlmm (3) - 1 freq nvmm (3) - 1 freq hemm (3) - 12 freq himm (3) - 1 freq hammy (3) - 7 freq vaam (4) - 3 freq lamm (4) - 3 freq ham (4) - 49 freq ahmm (4) - 1 freq hemmi (4) - 1 freq hummy (4) - 1 freq hemme (4) - 2 freq haem (4) - 53 freq hrvmam (4) - 1 freq amm (4) - 1 freq mamm (4) - 1 freq hoam (4) - 4 freq hmmmm (4) - 4 freq camm (4) - 1 freq hame (4) - 2346 freq |
SoundEx code - H150 heaven - 69 freq happen - 386 freq hivna - 48 freq hivven - 54 freq hopin - 85 freq hivvin - 29 freq hivnae - 42 freq heiven - 109 freq huffin - 7 freq heavin - 18 freq havenae - 20 freq hoppin - 11 freq huvin - 156 freq havin - 73 freq howpin - 45 freq heivin - 12 freq hivvnae - 1 freq huvnae - 61 freq haven - 19 freq ha'penny - 3 freq hevin - 20 freq 'huvin - 1 freq happin - 16 freq haevnae - 1 freq hivan - 7 freq hopan - 6 freq hvamm - 1 freq havn - 2 freq hivin - 27 freq haivn - 1 freq howfin' - 1 freq huvin' - 1 freq hopen - 1 freq huvvin - 5 freq heeeeaaavaaaahnnnn - 1 freq havnae - 23 freq hopin' - 6 freq hoovin - 3 freq howfin - 5 freq hoapin - 2 freq 'heaven - 1 freq hyphen - 2 freq heaven' - 1 freq havana - 1 freq heppen - 11 freq heypen - 3 freq hauf-yin - 10 freq haiven - 34 freq haiven' - 1 freq hivven' - 1 freq heav'n - 1 freq havena - 2 freq haevin - 2 freq hoopin - 5 freq hövin - 2 freq heeven - 12 freq ha'pny - 3 freq havna - 2 freq 'ha'penny - 2 freq hivvan - 10 freq hopein - 1 freq ha'pennie - 1 freq hofn - 4 freq happan - 2 freq haivin - 3 freq haepin - 1 freq heivan - 1 freq hauf-won - 1 freq heapin - 2 freq hevan - 10 freq houpan - 1 freq hevna - 8 freq howpan - 1 freq heevin - 9 freq heefin - 1 freq hüben - 1 freq heven - 1 freq hÃven - 1 freq haepenny - 1 freq hevn - 1 freq hivny - 1 freq havin' - 1 freq huv'nae - 1 freq huvnea - 1 freq haufpenny - 1 freq huvna - 1 freq hivin' - 1 freq heppin - 1 freq huvane - 1 freq hpny - 1 freq hven - 1 freq hivni - 1 freq haÂ’penny - 2 freq hvun - 1 freq hoban - 5 freq havena' - 1 freq hehyhvnny - 1 freq hippin - 1 freq hav'nae - 1 freq huevon - 1 freq hivenae - 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 |
HVAMM |
Time to execute Levenshtein function - 0.198829 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 - 0.357866 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 - 0.028477 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 - 0.037352 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 - 0.000849 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. |