| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| knowe (0) - 56 freq know' (1) - 1 freq known (1) - 62 freq knowed (1) - 64 freq knowte (1) - 1 freq know (1) - 1123 freq knowes (1) - 25 freq knows (1) - 147 freq scowe (2) - 1 freq growe (2) - 108 freq 'knowe' (2) - 1 freq howe (2) - 77 freq 'know' (2) - 1 freq lowe (2) - 110 freq drowe (2) - 8 freq mowe (2) - 1 freq knowan (2) - 2 freq node (2) - 4 freq knock (2) - 111 freq knoab (2) - 1 freq nuwe (2) - 1 freq inower (2) - 10 freq jowe (2) - 2 freq kjow (2) - 1 freq knave (2) - 48 freq |
knowe (0) - 56 freq know (1) - 1123 freq knows (2) - 147 freq knew (2) - 218 freq aknow (2) - 1 freq knaw (2) - 16 freq knowes (2) - 25 freq knowte (2) - 1 freq know' (2) - 1 freq knowed (2) - 64 freq known (2) - 62 freq knaws (3) - 4 freq knos (3) - 1 freq knoat (3) - 3 freq knee (3) - 125 freq knob (3) - 12 freq knawn (3) - 6 freq knowin (3) - 46 freq kno (3) - 16 freq knawed (3) - 1 freq enow (3) - 5 freq knoax (3) - 1 freq snow (3) - 66 freq knox (3) - 34 freq knife (3) - 102 freq |
SoundEx code - K500 ken - 5053 freq kinna - 279 freq know - 1123 freq keen - 204 freq knee - 125 freq kin - 1351 freq knew - 218 freq kan - 28 freq kin- - 1 freq kyn - 20 freq knaw - 16 freq kenna - 11 freq ken-nae - 3 freq ken- - 11 freq knowe - 56 freq kaim - 13 freq kenny - 46 freq 'ken - 8 freq kemnay - 4 freq ken' - 3 freq kinnae - 10 freq 'know - 2 freq kine - 101 freq k-ken - 1 freq 'kin - 6 freq kynea - 1 freq kcyna - 1 freq kcyn - 1 freq keyn - 5 freq keyna - 4 freq kim - 10 freq khayyam - 1 freq kame - 6 freq kenya - 6 freq kane - 31 freq knee-heh - 2 freq kin' - 2 freq kïssin - 1 freq kanna - 1 freq kmee - 1 freq km - 4 freq kyne - 10 freq kyin - 1 freq 'ken' - 4 freq k'nie - 1 freq kinno - 24 freq kin-' - 1 freq kum - 8 freq kam - 24 freq kunna - 1 freq kehm - 1 freq 'kum - 1 freq kaam - 1 freq kaen - 12 freq know' - 1 freq ken-no - 1 freq -kin - 1 freq -ken - 1 freq «kin - 1 freq 'know' - 1 freq 'knowe' - 1 freq khan - 3 freq kennawha - 9 freq kni - 1 freq kenny' - 1 freq kno - 16 freq koam - 1 freq €œken - 2 freq kene - 1 freq know-how - 1 freq kian - 1 freq kennae - 1 freq €˜ken - 2 freq €˜know - 3 freq €™know - 6 freq €˜kin - 1 freq koen - 2 freq 'kinna - 1 freq €˜kenny - 1 freq €œkum - 1 freq keyin - 1 freq €œkin - 2 freq kain - 2 freq 'keen - 2 freq kannae - 1 freq kahn - 2 freq €™kin - 2 freq €™ken - 1 freq kÂ’in - 1 freq ‘kin - 1 freq kxn - 1 freq kgeyom - 1 freq “ken - 1 freq kein - 1 freq kano - 1 freq kkano - 1 freq kyam - 1 freq kahoona - 1 freq kom - 2 freq kjm - 1 freq knei - 1 freq keen' - 1 freq kiyan - 1 freq kanyou - 1 freq kmm - 1 freq ‘kenÂ’ - 1 freq keano - 1 freq kennie - 1 freq knee' - 1 freq knaa - 1 freq |
MetaPhone code - NW hyne-awa - 5 freq naewey - 11 freq knowe - 56 freq naewie - 8 freq nuwe - 1 freq 'knowe' - 1 freq hyneawa - 2 freq hyne-awaw - 1 freq |
KNOWE |
| Time to execute Levenshtein function - 0.342061 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 - 0.499357 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 - 0.027798 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 - 0.068996 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 - 0.000756 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. |