Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
han (0) - 393 freq hon (1) - 11 freq havn (1) - 2 freq hin (1) - 36 freq hadn (1) - 2 freq hat (1) - 177 freq hai (1) - 4 freq hant (1) - 6 freq dan (1) - 472 freq hain (1) - 63 freq hag (1) - 2 freq har (1) - 8 freq hen (1) - 415 freq hxn (1) - 1 freq man (1) - 3502 freq pan (1) - 137 freq vhan (1) - 1 freq chan (1) - 2 freq harn (1) - 5 freq van (1) - 161 freq hang (1) - 48 freq has (1) - 1383 freq dhan (1) - 1 freq hand (1) - 319 freq ran (1) - 451 freq |
han (0) - 393 freq haan (1) - 95 freq hen (1) - 415 freq haun (1) - 931 freq hun (1) - 9 freq haen (1) - 156 freq hn (1) - 3 freq hain (1) - 63 freq hane (1) - 4 freq hin (1) - 36 freq hon (1) - 11 freq san (2) - 46 freq kan (2) - 28 freq heni (2) - 2 freq shan (2) - 10 freq hwn (2) - 1 freq yan (2) - 1 freq nan (2) - 14 freq hauna (2) - 5 freq had (2) - 4994 freq fan (2) - 1367 freq ha (2) - 181 freq hank (2) - 9 freq haq (2) - 1 freq wan (2) - 2472 freq |
SoundEx code - H500 him - 8459 freq haun - 931 freq hame - 2346 freq hen - 415 freq haein - 661 freq hinnie - 24 freq hyne - 56 freq hon - 11 freq 'him - 3 freq hinna - 86 freq haan - 95 freq hmm - 22 freq haen - 156 freq hyne-awa - 5 freq haena - 49 freq hem - 27 freq hame' - 6 freq him-how - 1 freq how'm - 4 freq -how'm - 1 freq hain - 63 freq hum - 45 freq han - 393 freq hayin - 5 freq hm - 13 freq hawn - 33 freq 'hmm - 1 freq home - 280 freq hume - 10 freq hime - 17 freq 'hum - 2 freq hinny - 24 freq ha''in - 1 freq hymn - 17 freq 'hame - 2 freq hinnae - 50 freq hoyon - 1 freq haim - 39 freq 'ham - 3 freq heem - 17 freq him' - 15 freq han' - 24 freq ham - 49 freq haean - 12 freq hannah - 10 freq heaney - 4 freq hin - 36 freq hoyin - 5 freq 'hen' - 2 freq hane - 4 freq hun - 9 freq haenae - 18 freq hee'm - 1 freq 'home - 1 freq hannie - 3 freq hine - 26 freq honey - 413 freq haein' - 6 freq henna - 7 freq hayen - 13 freq hein - 2 freq heim - 2 freq heen - 4 freq hen' - 2 freq haun' - 2 freq hyyyyyyyyyaaaaaaawwwn - 1 freq ha'en - 5 freq 'hmmm - 2 freq haime - 26 freq 'hen - 4 freq ha'in - 9 freq hiein - 1 freq hennae - 1 freq hae'in - 6 freq hawin - 2 freq heehawin - 1 freq hunny - 3 freq hïm - 575 freq heyin - 1 freq hyowin - 2 freq hmmmm - 4 freq honou' - 1 freq hae'n - 2 freq hym - 5 freq hom - 38 freq hoween - 1 freq home' - 2 freq hann - 23 freq hummy - 1 freq hae-in - 1 freq haem - 53 freq hemme - 2 freq 'home' - 1 freq hæm - 2 freq howan - 1 freq hewn - 2 freq hawaiian - 1 freq hoam - 4 freq hahn - 2 freq heine - 3 freq hyena - 4 freq hyneawa - 2 freq 'haein - 1 freq homo - 3 freq 'hame' - 3 freq haenna - 3 freq €˜haem - 1 freq höm - 1 freq houane - 5 freq €˜hmm - 3 freq haimm - 1 freq hemmi - 1 freq hanna - 11 freq hannaa - 1 freq hinney - 6 freq hium - 1 freq hyne-awaw - 1 freq hayme - 1 freq hine-awa - 1 freq hame- - 1 freq henny - 10 freq €œhenny - 3 freq hmi - 2 freq himm - 1 freq hammy - 7 freq him--- - 1 freq howein - 1 freq €˜hmi - 1 freq haun- - 1 freq hennie - 6 freq €œhemm - 1 freq hemm - 12 freq hima - 4 freq €œhmm - 1 freq €œhoney - 1 freq €˜hame - 1 freq €œhomo - 1 freq ha'ein - 1 freq €™hm - 1 freq hny - 1 freq haÂ’en - 1 freq hn - 3 freq heni - 2 freq hwn - 1 freq hanoi - 1 freq haain - 1 freq hina - 2 freq hameÂ’ - 1 freq hmmm - 7 freq hanÂ’ - 2 freq haÂ’in - 2 freq heain' - 1 freq hinn - 1 freq hmo - 1 freq hen” - 1 freq hauna - 5 freq hame” - 2 freq “hame - 1 freq ‘henÂ’ - 2 freq hunni - 5 freq hamm - 1 freq hyme - 6 freq “home - 1 freq “hyme - 1 freq hyme” - 1 freq hawn' - 2 freq hanny - 1 freq |
MetaPhone code - HN haun - 931 freq hen - 415 freq haein - 661 freq hinnie - 24 freq hon - 11 freq hinna - 86 freq haan - 95 freq haen - 156 freq haena - 49 freq hain - 63 freq han - 393 freq hawn - 33 freq hinny - 24 freq ha''in - 1 freq hinnae - 50 freq han' - 24 freq haean - 12 freq hannah - 10 freq heaney - 4 freq hin - 36 freq 'hen' - 2 freq hane - 4 freq hun - 9 freq haenae - 18 freq hannie - 3 freq hine - 26 freq honey - 413 freq haein' - 6 freq henna - 7 freq hein - 2 freq heen - 4 freq hen' - 2 freq haun' - 2 freq ha'en - 5 freq 'hen - 4 freq ha'in - 9 freq hiein - 1 freq hennae - 1 freq hae'in - 6 freq hunny - 3 freq wwhan - 1 freq honou' - 1 freq hae'n - 2 freq hann - 23 freq hae-in - 1 freq hewn - 2 freq hahn - 2 freq heine - 3 freq 'haein - 1 freq haenna - 3 freq houane - 5 freq hanna - 11 freq hannaa - 1 freq hinney - 6 freq henny - 10 freq €œhenny - 3 freq haun- - 1 freq hennie - 6 freq €œhoney - 1 freq houghin - 1 freq ha'ein - 1 freq haÂ’en - 1 freq heni - 2 freq hanoi - 1 freq haain - 1 freq hina - 2 freq hanÂ’ - 2 freq haÂ’in - 2 freq heain' - 1 freq hinn - 1 freq hen” - 1 freq hauna - 5 freq heughan - 1 freq ‘henÂ’ - 2 freq hunni - 5 freq hawn' - 2 freq hanny - 1 freq |
HAN haun - 931 freq hauns - 526 freq haund - 384 freq haunds - 234 freq haundit - 63 freq nearhaund - 16 freq hook-haundit - 17 freq hand - 319 freq hands - 175 freq handed - 49 freq second-haund - 6 freq hannit - 20 freq hans - 206 freq han - 393 freq |
Time to execute Levenshtein function - 0.184904 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 - 0.362398 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 - 0.028107 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 - 0.044322 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 - 0.000938 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. |