| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| hah (0) - 4 freq tah (1) - 2 freq has (1) - 1352 freq wah (1) - 11 freq cah (1) - 1 freq sah (1) - 2 freq hrh (1) - 1 freq dah (1) - 3 freq fah (1) - 9 freq hahn (1) - 2 freq hath (1) - 3 freq har (1) - 8 freq yah (1) - 3 freq bah (1) - 4 freq ahah (1) - 1 freq hae (1) - 8019 freq hat (1) - 176 freq hash (1) - 25 freq ham (1) - 49 freq hac (1) - 1 freq hkh (1) - 1 freq haf (1) - 9 freq hau (1) - 1 freq heh (1) - 41 freq hap (1) - 53 freq |
hah (0) - 4 freq hh (1) - 3 freq haha (1) - 65 freq ahah (1) - 1 freq huh (1) - 15 freq heh (1) - 41 freq hoh (1) - 1 freq rah (2) - 5 freq haq (2) - 1 freq jah (2) - 2 freq hach (2) - 3 freq ha (2) - 180 freq lah (2) - 1 freq nah (2) - 86 freq 'ah (2) - 377 freq ha' (2) - 3 freq aah (2) - 6 freq hag (2) - 2 freq hay (2) - 124 freq hhy (2) - 1 freq hehe (2) - 3 freq hyyh (2) - 1 freq ohh (2) - 3 freq hoho (2) - 1 freq hihi (2) - 6 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 |
HAH |
| Time to execute Levenshtein function - 0.174247 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 - 0.330587 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 - 0.027595 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 - 0.036460 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 - 0.000772 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. |