| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| hoatch (0) - 1 freq hotch (1) - 5 freq hoach (1) - 1 freq hatch (1) - 12 freq hath (2) - 3 freq oath (2) - 13 freq maatch (2) - 4 freq haach (2) - 1 freq thratch (2) - 1 freq boath (2) - 2 freq waatch (2) - 67 freq potch (2) - 3 freq pootch (2) - 22 freq natch (2) - 2 freq notch (2) - 6 freq hoatchin (2) - 9 freq watch (2) - 675 freq hach (2) - 3 freq scoatch (2) - 1 freq loath (2) - 4 freq heath (2) - 2 freq catch (2) - 353 freq poarch (2) - 1 freq clatch (2) - 3 freq patch (2) - 79 freq |
hoatch (0) - 1 freq hatch (1) - 12 freq hotch (1) - 5 freq hutch (2) - 7 freq hitch (2) - 3 freq hoach (2) - 1 freq hoch (3) - 10 freq eatch (3) - 1 freq botch (3) - 1 freq poutch (3) - 1 freq cootch (3) - 3 freq hatcht (3) - 1 freq match (3) - 177 freq latch (3) - 11 freq cotch (3) - 8 freq footch (3) - 1 freq hauch (3) - 12 freq hutchi (3) - 1 freq hooch (3) - 6 freq patch (3) - 79 freq outch (3) - 1 freq batch (3) - 13 freq coutch (3) - 1 freq thatch (3) - 5 freq natch (3) - 2 freq |
SoundEx code - H320 heids - 465 freq hedge - 41 freq hate-c - 2 freq heid's - 41 freq hedgie - 3 freq heidache - 7 freq hauds - 123 freq hotch - 5 freq hates - 36 freq hitch - 3 freq hits - 150 freq heads - 39 freq hotdogs - 3 freq hides - 14 freq 'hoots - 2 freq hoods - 6 freq heeds - 29 freq heid-gie - 1 freq heidy's - 1 freq huds - 6 freq hauts - 1 freq haddock - 14 freq hadg - 1 freq hideous - 7 freq houts - 1 freq hoodies - 5 freq hid's - 202 freq hids - 86 freq hats - 46 freq hatch - 12 freq hat's - 3 freq heed's - 6 freq huts - 7 freq haddies - 2 freq heats - 3 freq hoots - 11 freq hts - 5 freq howdie's - 1 freq hideyoshi - 2 freq hit's - 280 freq heidie's - 5 freq heidies - 4 freq hood's - 1 freq het-hoose - 1 freq het's - 5 freq haeds - 6 freq haed's - 1 freq hoatch - 1 freq haitts - 1 freq hïts - 1 freq heathaze - 1 freq heedge - 1 freq hodge - 3 freq 'hid's - 2 freq haets - 2 freq hades - 4 freq haads - 17 freq hadds - 22 freq 'hit's - 5 freq heat's - 1 freq het-houss - 1 freq head's - 2 freq hethoose - 1 freq hads - 2 freq hi-tech - 2 freq heds - 1 freq hoids - 2 freq hieds - 2 freq 'haddow's' - 1 freq hie-tech - 1 freq haddocks - 1 freq hutch - 7 freq hudds - 1 freq hudge - 1 freq heid-heich - 1 freq heides - 1 freq huddies - 1 freq heywood's - 1 freq hyde's - 1 freq heedache - 2 freq haddicks - 2 freq hudduck - 2 freq hitec - 1 freq hotdog - 1 freq huddock - 6 freq heid’s - 1 freq headache - 4 freq 'hates - 1 freq hewitt's - 1 freq hutchi - 1 freq hutchie - 2 freq hots - 1 freq hid’s - 2 freq hdq - 1 freq heydays - 1 freq |
MetaPhone code - HX heich - 264 freq hashie - 2 freq hotch - 5 freq hitch - 3 freq hech - 16 freq 'hech - 11 freq hash - 25 freq hish - 1 freq hush - 35 freq 'hush - 2 freq haach - 1 freq hich - 7 freq heuch - 6 freq hauch - 12 freq hatch - 12 freq heech - 7 freq hooch - 6 freq 'hooch - 1 freq hushie - 3 freq hoatch - 1 freq hoch - 10 freq heshi - 1 freq heesh - 1 freq hach - 3 freq hoach - 1 freq hiech - 5 freq hutch - 7 freq 'heich - 1 freq €œhech - 1 freq €œhuch - 1 freq huch - 1 freq €œhush - 1 freq €œhooch - 1 freq hutchi - 1 freq hutchie - 2 freq heuch' - 1 freq |
HOATCH |
| Time to execute Levenshtein function - 0.199062 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 - 0.363968 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 - 0.028195 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 - 0.040741 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 - 0.000954 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. |