| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| hain (0) - 63 freq kain (1) - 2 freq hein (1) - 2 freq hawin (1) - 2 freq hains (1) - 5 freq fain (1) - 44 freq hasn (1) - 3 freq nain (1) - 5 freq haiv (1) - 1 freq havin (1) - 67 freq haint (1) - 3 freq hawn (1) - 32 freq hatin (1) - 2 freq haik (1) - 4 freq rain (1) - 672 freq whain (1) - 1 freq haan (1) - 95 freq han (1) - 392 freq hai (1) - 4 freq haim (1) - 30 freq thain (1) - 6 freq haig (1) - 1 freq hail (1) - 259 freq chain (1) - 61 freq harn (1) - 3 freq |
hain (0) - 63 freq hin (1) - 35 freq haain (1) - 1 freq haan (1) - 95 freq haun (1) - 900 freq han (1) - 392 freq hayin (1) - 5 freq haen (1) - 152 freq hein (1) - 2 freq haein (1) - 658 freq sain (2) - 14 freq haip (2) - 7 freq hann (2) - 23 freq hsin (2) - 3 freq haivn (2) - 1 freq hacin (2) - 2 freq iain (2) - 49 freq hair (2) - 867 freq main (2) - 282 freq hiein (2) - 1 freq tain (2) - 42 freq haif (2) - 1 freq ain (2) - 2864 freq cain (2) - 24 freq hayen (2) - 13 freq |
SoundEx code - H500 him - 8386 freq haun - 900 freq hame - 2334 freq hen - 413 freq haein - 658 freq hinnie - 24 freq hyne - 55 freq hon - 11 freq 'him - 3 freq hinna - 85 freq haan - 95 freq hmm - 22 freq haen - 152 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 - 44 freq han - 392 freq hayin - 5 freq hm - 12 freq hawn - 32 freq 'hmm - 1 freq home - 273 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 - 30 freq 'ham - 3 freq heem - 17 freq him' - 15 freq han' - 20 freq ham - 49 freq haean - 12 freq hannah - 10 freq heaney - 4 freq hin - 35 freq hoyin - 4 freq 'hen' - 2 freq hane - 4 freq hun - 8 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 'hmmm - 2 freq haime - 26 freq 'hen - 4 freq ha'in - 9 freq hiein - 1 freq ha'en - 2 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 - 900 freq hen - 413 freq haein - 658 freq hinnie - 24 freq hon - 11 freq hinna - 85 freq haan - 95 freq haen - 152 freq haena - 49 freq hain - 63 freq han - 392 freq hawn - 32 freq hinny - 24 freq ha''in - 1 freq hinnae - 50 freq han' - 20 freq haean - 12 freq hannah - 10 freq heaney - 4 freq hin - 35 freq 'hen' - 2 freq hane - 4 freq hun - 8 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 'hen - 4 freq ha'in - 9 freq hiein - 1 freq ha'en - 2 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 |
HAIN have - 1198 freq had - 4968 freq hid - 3407 freq hae - 8019 freq haes - 1895 freq has - 1352 freq hes - 482 freq hus - 456 freq his - 17050 freq hud - 1280 freq huv - 1162 freq hiv - 1171 freq haed - 1597 freq hed - 1101 freq hain - 63 freq haein - 658 freq having - 59 freq |
| Time to execute Levenshtein function - 0.178698 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 - 0.344496 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 - 0.028159 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 - 0.038361 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 - 0.001213 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. |