| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| haunt (0) - 28 freq haunit (1) - 2 freq hant (1) - 6 freq daunt (1) - 3 freq hault (1) - 17 freq haint (1) - 3 freq chaunt (1) - 5 freq haust (1) - 3 freq vaunt (1) - 1 freq haut (1) - 3 freq hasnt (1) - 1 freq jaunt (1) - 15 freq hunt (1) - 62 freq taunt (1) - 2 freq haun- (1) - 1 freq hauns (1) - 507 freq haun (1) - 900 freq saunt (1) - 14 freq haun't (1) - 4 freq aunt (1) - 75 freq haunts (1) - 13 freq haund (1) - 384 freq gaunt (1) - 8 freq haun' (1) - 2 freq hauna (1) - 5 freq |
haunt (0) - 28 freq haunit (1) - 2 freq hunt (1) - 62 freq haint (1) - 3 freq hant (1) - 6 freq haunts (2) - 13 freq saunt (2) - 14 freq aunt (2) - 75 freq haund (2) - 384 freq haun't (2) - 4 freq haun' (2) - 2 freq hint (2) - 77 freq hainit (2) - 6 freq hent (2) - 6 freq haun (2) - 900 freq gaunt (2) - 8 freq hauna (2) - 5 freq hauns (2) - 507 freq hault (2) - 17 freq haust (2) - 3 freq chaunt (2) - 5 freq vaunt (2) - 1 freq haut (2) - 3 freq haun- (2) - 1 freq taunt (2) - 2 freq |
SoundEx code - H530 haund - 384 freq hummed - 10 freq handy - 55 freq haundie - 1 freq haunt - 28 freq hin't - 1 freq haunit - 2 freq hint - 77 freq hoond - 2 freq hand - 319 freq hant - 6 freq hunt - 62 freq honed - 5 freq him-it - 1 freq hent - 6 freq haundy - 18 freq hannit - 20 freq hantie - 4 freq hamewith - 9 freq hained - 27 freq honey-dew - 1 freq haunmaid - 1 freq handee - 4 freq handie - 3 freq hind - 14 freq haun't - 4 freq hemmed - 3 freq 'haund - 3 freq hem't - 1 freq hannet - 2 freq hummit - 1 freq haand - 104 freq hindu - 8 freq him-hit - 1 freq honeyed - 1 freq hunda - 1 freq haun-med - 1 freq hainit - 6 freq him-id - 1 freq houmit - 1 freq hunde - 1 freq hinnied - 1 freq hamada - 1 freq haint - 3 freq haunnit - 2 freq hende - 1 freq heymouthe - 1 freq hynd - 1 freq €œhunty - 1 freq hound - 11 freq €œhand - 1 freq hnd - 3 freq hindi - 2 freq hond - 3 freq henwudie - 1 freq henwuddie - 3 freq haun-made - 1 freq hammett - 1 freq heymooth - 1 freq huntie - 1 freq heynd - 1 freq hmt - 1 freq ‘hand - 1 freq hnuty - 1 freq hmdt - 1 freq honeat - 1 freq hund - 1 freq hnid - 1 freq hunt' - 1 freq handw - 1 freq |
MetaPhone code - HNT haund - 384 freq handy - 55 freq haundie - 1 freq haunt - 28 freq hin't - 1 freq haunit - 2 freq hint - 77 freq hoond - 2 freq hand - 319 freq hant - 6 freq hunt - 62 freq honed - 5 freq hent - 6 freq haundy - 18 freq hannit - 20 freq hantie - 4 freq hained - 27 freq honey-dew - 1 freq handee - 4 freq handie - 3 freq hind - 14 freq haun't - 4 freq 'haund - 3 freq hannet - 2 freq haand - 104 freq hindu - 8 freq hunda - 1 freq hainit - 6 freq hunde - 1 freq hinnied - 1 freq haint - 3 freq haunnit - 2 freq hende - 1 freq €œhunty - 1 freq hound - 11 freq €œhand - 1 freq hindi - 2 freq hond - 3 freq huntie - 1 freq heynd - 1 freq ‘hand - 1 freq honeat - 1 freq hund - 1 freq hunt' - 1 freq handw - 1 freq |
HAUNT |
| Time to execute Levenshtein function - 0.386808 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 - 0.618373 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 - 0.057594 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 - 0.038815 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 - 0.001143 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. |