| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| haens (3) - 2 freq hae (3) - 8019 freq haetit (3) - 1 freq haedan (3) - 3 freq haerts (3) - 19 freq haein (3) - 658 freq haey (3) - 1 freq haein' (3) - 6 freq haedna (3) - 49 freq haem (3) - 53 freq hael (3) - 9 freq haels (3) - 1 freq haeÂ’ (3) - 1 freq hae' (3) - 4 freq haean (3) - 12 freq haetir (3) - 1 freq haen (3) - 152 freq haepin (3) - 1 freq haerd (3) - 26 freq haed (3) - 1597 freq haec (3) - 1 freq haelga (3) - 2 freq haelt (3) - 3 freq haeps (3) - 4 freq haev (3) - 15 freq |
haeing (6) - 4 freq haevin (6) - 2 freq haekin (6) - 1 freq haer (6) - 18 freq haesna (6) - 53 freq haeve (6) - 5 freq haert (6) - 43 freq haets (6) - 2 freq haeds (6) - 6 freq haedin (6) - 1 freq haeted (6) - 1 freq haetae (6) - 7 freq hae'in (6) - 6 freq hae'n (6) - 2 freq haet (6) - 66 freq haeter (6) - 2 freq haena (6) - 49 freq hae't (6) - 8 freq haes (6) - 1895 freq haens (6) - 2 freq haemly (6) - 1 freq haenae (6) - 18 freq haep (6) - 13 freq haerse (6) - 4 freq haenna (6) - 3 freq |
SoundEx code - H000 he - 25273 freq 'he - 77 freq hae - 8019 freq hoo - 1051 freq how - 1607 freq 'hoo - 79 freq hea - 2 freq 'hae - 31 freq 'haw - 29 freq ha - 180 freq huh - 15 freq hou - 956 freq haw - 106 freq 'how - 52 freq hey-you - 1 freq hee-haw - 17 freq hue - 24 freq howie - 52 freq hie - 113 freq howe - 77 freq huey - 31 freq 'huey - 1 freq 'ha - 8 freq hey - 157 freq 'hey - 8 freq 'hou - 21 freq hy - 5 freq 'hi - 6 freq hay - 124 freq haa - 93 freq h - 257 freq -hou - 1 freq hau - 1 freq 'hay - 1 freq hoo' - 2 freq 'howie - 1 freq 'howieeee - 1 freq hee - 289 freq heehaw - 194 freq hoy - 27 freq hoo-oo - 1 freq ho - 56 freq hew - 8 freq huw - 3 freq hi - 67 freq haaaa - 2 freq haha - 65 freq haaw - 2 freq hiya - 27 freq 'hiya - 11 freq hai - 4 freq huy - 3 freq hye - 6 freq he' - 8 freq hoi - 8 freq hei - 257 freq -how - 2 freq 'hahahaha - 1 freq heh - 41 freq ho-ho - 9 freq hae' - 4 freq 'he' - 4 freq hö - 1 freq 'hae' - 2 freq 'how' - 2 freq hawaii - 5 freq ha' - 3 freq heehaw' - 4 freq 'hie - 1 freq 'ho- - 2 freq 'ho-ho - 4 freq 'haw-haw - 1 freq 'heehaw - 4 freq hehaw - 1 freq hawie - 1 freq how-- - 1 freq hæ - 3 freq haey - 1 freq heeeeeee - 1 freq hah - 4 freq hawai'i - 1 freq hii - 1 freq hoo-hoo-hoo-hoo - 1 freq heiße - 1 freq hÃe - 1 freq hyow - 2 freq €œhe - 47 freq €œhow - 15 freq haue - 1 freq €˜how - 22 freq €¦he - 2 freq €œhoo - 24 freq €˜hae - 2 freq €™hui - 1 freq €œhi - 2 freq hoe - 2 freq €˜hoo - 4 freq €˜hiyie - 1 freq €˜h-h-h-hi-yie - 1 freq €™he - 9 freq €˜he - 23 freq €˜hoaw - 4 freq €˜hey - 2 freq €˜hauw - 1 freq €˜hi - 1 freq €œhi-ay - 1 freq €œhou - 1 freq €˜ha - 1 freq €¦how - 1 freq €œhae - 7 freq €œhaw - 2 freq hiewey - 1 freq €œha - 1 freq €œhey - 6 freq hui - 1 freq €œhuh - 1 freq hoaw - 1 freq €”he - 1 freq €œhoi - 1 freq hiy - 1 freq €œhowe - 1 freq €œho - 1 freq €œhiya - 1 freq heu - 1 freq €™how - 4 freq hw - 1 freq haeÂ’ - 1 freq “how - 2 freq hh - 3 freq hahahaha - 7 freq hahaha - 10 freq heeee - 1 freq hohoho - 2 freq ‘he - 1 freq heehee - 2 freq hahahaaha - 1 freq hahahahahhahahahha - 1 freq hahahahahaha - 1 freq hahahahahahahahahaha - 1 freq ha'e - 1 freq hwou - 1 freq “he - 3 freq hu - 2 freq hehehe - 2 freq hhy - 1 freq hyu - 1 freq ‘hey - 1 freq hehe - 3 freq hhoh - 1 freq 'haha - 1 freq hiyi - 2 freq hyyh - 1 freq hoey - 1 freq “hae - 1 freq 'h' - 1 freq hoho - 1 freq hahhh - 1 freq hihi - 6 freq howay - 4 freq hoh - 1 freq |
MetaPhone code - H he - 25273 freq 'he - 77 freq hae - 8019 freq hoo - 1051 freq how - 1607 freq 'hoo - 79 freq hea - 2 freq 'hae - 31 freq 'haw - 29 freq ha - 180 freq huh - 15 freq hou - 956 freq haw - 106 freq 'how - 52 freq hue - 24 freq hie - 113 freq huey - 31 freq 'huey - 1 freq 'ha - 8 freq hey - 157 freq 'hey - 8 freq 'hou - 21 freq 'hi - 6 freq hay - 124 freq hough - 4 freq haa - 93 freq -hou - 1 freq hau - 1 freq 'hay - 1 freq hoo' - 2 freq hee - 289 freq heugh - 4 freq hoy - 27 freq hoo-oo - 1 freq ho - 56 freq hew - 8 freq huw - 3 freq hi - 67 freq haaaa - 2 freq haaw - 2 freq hai - 4 freq huy - 3 freq he' - 8 freq hoi - 8 freq hei - 257 freq -how - 2 freq heh - 41 freq hae' - 4 freq haugh - 43 freq 'he' - 4 freq 'hae' - 2 freq 'how' - 2 freq ha' - 3 freq 'hie - 1 freq 'ho- - 2 freq how-- - 1 freq haey - 1 freq heeeeeee - 1 freq heigh - 7 freq hiegh - 2 freq hah - 4 freq hii - 1 freq heiße - 1 freq yhe - 1 freq €œhe - 47 freq €œhow - 15 freq haue - 1 freq €˜how - 22 freq €¦he - 2 freq €œhoo - 24 freq €˜hae - 2 freq €™hui - 1 freq €œhi - 2 freq hoe - 2 freq €˜hoo - 4 freq €™he - 9 freq €˜he - 23 freq €˜hoaw - 4 freq €˜hey - 2 freq €˜hauw - 1 freq €˜hi - 1 freq €œhi-ay - 1 freq €œhou - 1 freq €˜ha - 1 freq €¦how - 1 freq €œhae - 7 freq €œhaw - 2 freq €œha - 1 freq €œhey - 6 freq hui - 1 freq €œhuh - 1 freq hoaw - 1 freq €”he - 1 freq €œhoi - 1 freq hiy - 1 freq €œho - 1 freq heu - 1 freq €™how - 4 freq haeÂ’ - 1 freq “how - 2 freq heeee - 1 freq ‘he - 1 freq ha'e - 1 freq “he - 3 freq hu - 2 freq hough' - 1 freq ‘hey - 1 freq hoey - 1 freq “hae - 1 freq hahhh - 1 freq hoh - 1 freq |
HAE� |
| Time to execute Levenshtein function - 0.176101 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 - 0.327781 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 - 0.032113 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 - 0.036800 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 - 0.000781 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. |