| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| haunit (0) - 2 freq hainit (1) - 6 freq haunin (1) - 7 freq haunt (1) - 28 freq hannit (1) - 20 freq haunnit (1) - 2 freq haunil (1) - 1 freq haunlit (1) - 1 freq haun't (1) - 4 freq haudit (1) - 42 freq hauntit (1) - 15 freq haundit (1) - 62 freq haulit (1) - 3 freq hautit (1) - 2 freq hauddit (2) - 18 freq haunds (2) - 234 freq jaupit (2) - 1 freq haultit (2) - 1 freq habit (2) - 49 freq harrit (2) - 1 freq maukit (2) - 15 freq haunts (2) - 13 freq wanit (2) - 1 freq haint (2) - 3 freq haun' (2) - 2 freq |
haunit (0) - 2 freq haunt (1) - 28 freq hainit (1) - 6 freq haulit (2) - 3 freq haundit (2) - 62 freq haint (2) - 3 freq hant (2) - 6 freq hauntit (2) - 15 freq hunt (2) - 62 freq hautit (2) - 2 freq haunnit (2) - 2 freq haunin (2) - 7 freq haunil (2) - 1 freq haudit (2) - 42 freq haun't (2) - 4 freq haunlit (2) - 1 freq hannit (2) - 20 freq haitit (3) - 1 freq aunt (3) - 75 freq haundet (3) - 4 freq hunkit (3) - 2 freq hankit (3) - 2 freq jaunt (3) - 15 freq hault (3) - 17 freq hantit (3) - 3 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 |
HAUNIT |
| Time to execute Levenshtein function - 0.331344 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 - 0.406097 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 - 0.053522 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 - 0.044495 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 - 0.000799 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. |