| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| hay (0) - 124 freq havy (1) - 2 freq hayl (1) - 2 freq hny (1) - 1 freq hal (1) - 4 freq -ay (1) - 1 freq lay (1) - 386 freq hazy (1) - 13 freq hhy (1) - 1 freq haey (1) - 1 freq haw (1) - 106 freq may (1) - 449 freq hah (1) - 7 freq haa (1) - 93 freq jay (1) - 7 freq hau (1) - 1 freq hac (1) - 1 freq day (1) - 6020 freq har (1) - 8 freq haf (1) - 9 freq ham (1) - 49 freq say (1) - 3705 freq hai (1) - 4 freq hap (1) - 55 freq hag (1) - 2 freq |
hay (0) - 124 freq hy (1) - 5 freq ha (1) - 181 freq hau (1) - 1 freq hai (1) - 4 freq hey (1) - 158 freq huy (1) - 4 freq hae (1) - 8068 freq haey (1) - 1 freq haa (1) - 93 freq hoy (1) - 29 freq hiy (1) - 1 freq pay (2) - 122 freq hasy (2) - 1 freq 'hay (2) - 1 freq aha (2) - 8 freq hyu (2) - 1 freq hoe (2) - 2 freq hly (2) - 1 freq ahae (2) - 1 freq ho (2) - 56 freq hue (2) - 24 freq hye (2) - 6 freq hav (2) - 9 freq hei (2) - 257 freq |
SoundEx code - H000 he - 25549 freq 'he - 78 freq hae - 8068 freq hoo - 1076 freq how - 1649 freq 'hoo - 79 freq hea - 2 freq 'hae - 31 freq 'haw - 29 freq ha - 181 freq huh - 16 freq hou - 958 freq haw - 106 freq 'how - 51 freq hey-you - 1 freq hee-haw - 18 freq hue - 24 freq howie - 52 freq hie - 113 freq howe - 77 freq huey - 31 freq 'huey - 1 freq 'ha - 8 freq hey - 158 freq 'hey - 11 freq 'hou - 21 freq hy - 5 freq 'hi - 6 freq hay - 124 freq haa - 93 freq h - 258 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 - 29 freq hoo-oo - 1 freq ho - 56 freq hew - 8 freq huw - 3 freq hi - 67 freq haaaa - 2 freq haha - 66 freq haaw - 2 freq hiya - 28 freq 'hiya - 11 freq hai - 4 freq hah - 7 freq hahahahahahah - 1 freq heeeeeeeooooo - 1 freq hoooooo - 1 freq huy - 4 freq ha'e - 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 hawai'i - 1 freq hii - 1 freq hoo-hoo-hoo-hoo - 1 freq heiße - 1 freq hÃe - 1 freq hyow - 2 freq €œhe - 48 freq €œhow - 18 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 €œhaw - 6 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 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 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 - 25549 freq 'he - 78 freq hae - 8068 freq hoo - 1076 freq how - 1649 freq 'hoo - 79 freq hea - 2 freq 'hae - 31 freq 'haw - 29 freq ha - 181 freq huh - 16 freq hou - 958 freq haw - 106 freq 'how - 51 freq hue - 24 freq hie - 113 freq huey - 31 freq 'huey - 1 freq 'ha - 8 freq hey - 158 freq 'hey - 11 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 - 29 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 hah - 7 freq heeeeeeeooooo - 1 freq hoooooo - 1 freq huy - 4 freq ha'e - 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 hii - 1 freq heiße - 1 freq yhe - 1 freq €œhe - 48 freq €œhow - 18 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 €œhaw - 6 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 €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 “he - 3 freq hu - 2 freq hough' - 1 freq ‘hey - 1 freq hoey - 1 freq “hae - 1 freq hahhh - 1 freq hoh - 1 freq |
HAY hay - 124 freq hays - 2 freq |
| Time to execute Levenshtein function - 0.284566 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 - 0.562325 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 - 0.030264 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 - 0.060265 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 - 0.000881 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. |