Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
---|---|---|---|---|
weeyin (0) - 22 freq weein (1) - 1 freq weemin (1) - 176 freq weyin (1) - 3 freq weeyins (1) - 22 freq weerin (1) - 66 freq weetin (1) - 2 freq weedin (1) - 7 freq weepin (1) - 1 freq whein (2) - 50 freq beelin (2) - 22 freq peenin (2) - 3 freq weimin (2) - 1 freq geein (2) - 42 freq reesin (2) - 1 freq meenin (2) - 1 freq sweyin (2) - 5 freq wellin (2) - 5 freq deekin (2) - 2 freq weeit (2) - 1 freq weeding (2) - 1 freq werrin (2) - 3 freq wheepin (2) - 3 freq reelin (2) - 16 freq greyin (2) - 2 freq |
weeyin (0) - 22 freq weein (1) - 1 freq weyin (1) - 3 freq wyin (2) - 2 freq wayin (2) - 1 freq weenie (2) - 1 freq waein (2) - 1 freq ween (2) - 25 freq wein (2) - 2 freq weepin (2) - 1 freq weemin (2) - 176 freq weeyins (2) - 22 freq weerin (2) - 66 freq weedin (2) - 7 freq weetin (2) - 2 freq eekin (3) - 1 freq naeyin (3) - 2 freq eesin (3) - 1 freq weelie (3) - 3 freq sweein (3) - 4 freq wen (3) - 18 freq weemen (3) - 176 freq deein (3) - 291 freq weeny (3) - 2 freq heyin (3) - 1 freq |
SoundEx code - W500 when - 4360 freq win - 977 freq wan - 2334 freq whinny - 6 freq wean - 415 freq wun - 200 freq wheen - 828 freq winna - 384 freq whan - 2751 freq whein - 50 freq won - 282 freq wine - 265 freq ween - 25 freq weein - 1 freq wame - 74 freq 'when - 18 freq wain - 15 freq 'whan - 7 freq wunna - 10 freq wanae - 1 freq whiney - 1 freq win' - 4 freq wane - 12 freq waa'in - 1 freq whin - 754 freq 'whin - 1 freq whim - 8 freq wham - 21 freq wheem - 1 freq winnie - 80 freq wi'm - 3 freq wayne - 6 freq wi'in - 37 freq whiny - 2 freq whom - 17 freq winnae - 46 freq won' - 1 freq wyne - 16 freq weem - 11 freq wooin - 1 freq wim - 2 freq 'wan - 5 freq whun - 92 freq wuhan - 2 freq wanny - 8 freq wuin - 3 freq winn - 1 freq wunnae - 13 freq wn - 7 freq weeyin - 22 freq wunny - 1 freq wunne - 1 freq whunny - 1 freq wi'ïn - 2 freq wwhan - 1 freq wen - 18 freq wona - 1 freq whin' - 1 freq waam - 1 freq weeny - 2 freq wye'in - 1 freq wino - 2 freq wine' - 1 freq waim'i - 1 freq wyme - 5 freq wymie - 1 freq whunnie - 1 freq wan-wye - 1 freq whine - 5 freq whaen - 3 freq wanna - 15 freq winny - 7 freq wunn - 9 freq whaun - 5 freq wan- - 2 freq wan' - 2 freq wieen - 1 freq waen - 2 freq waein - 1 freq woun - 5 freq €˜when - 4 freq wone - 4 freq wyin - 2 freq 'winna' - 2 freq whinney - 1 freq €œwhan - 8 freq waw-en - 1 freq wien - 1 freq weyin - 3 freq €œwhen - 4 freq €œwhin - 1 freq whain - 1 freq €˜win - 1 freq whane - 3 freq wyn - 1 freq wannae - 6 freq wine-o - 1 freq wum - 1 freq weenie - 1 freq €œwinna - 2 freq €˜wan - 5 freq wu-yun - 14 freq whyn - 3 freq whaim - 1 freq €˜wean - 1 freq wein - 2 freq whammy - 2 freq wm- - 1 freq wuni - 1 freq wini - 2 freq wan” - 1 freq winae - 2 freq wina - 1 freq wenna - 1 freq 'winnae' - 2 freq win- - 2 freq -wan - 1 freq weemo - 1 freq wm - 12 freq 'win' - 1 freq wooin” - 1 freq wami - 1 freq 'wean' - 1 freq wmu - 1 freq wwn - 1 freq 'wheen' - 1 freq wme - 1 freq weanÂ’ - 1 freq wean' - 3 freq wayin - 1 freq weeeannie - 1 freq wayno - 1 freq 'wheen - 1 freq wam - 1 freq |
MetaPhone code - WYN weeyin - 22 freq weyin - 3 freq wu-yun - 14 freq wayin - 1 freq |
WEEYIN |
Time to execute Levenshtein function - 0.199277 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 - 0.383856 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 - 0.031336 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 - 0.040500 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 - 0.000989 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. |