| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| wheep (0) - 8 freq wheen (1) - 829 freq wheek (1) - 8 freq wheel (1) - 127 freq weep (1) - 18 freq whee (1) - 1 freq wheet (1) - 3 freq sheep (1) - 299 freq wheeps (1) - 1 freq cheep (1) - 13 freq whelp (1) - 1 freq wheer (1) - 20 freq wheem (1) - 1 freq whye (2) - 4 freq whaap (2) - 3 freq weem (2) - 11 freq whe'er (2) - 1 freq wees (2) - 1 freq shaep (2) - 5 freq whfp (2) - 1 freq neep (2) - 130 freq whered (2) - 1 freq wee' (2) - 1 freq 'wheen (2) - 1 freq thees (2) - 4 freq |
wheep (0) - 8 freq wheem (2) - 1 freq whoop (2) - 32 freq whaap (2) - 3 freq whap (2) - 2 freq whup (2) - 8 freq whaup (2) - 15 freq whip (2) - 17 freq whelp (2) - 1 freq wheer (2) - 20 freq wheel (2) - 127 freq wheek (2) - 8 freq wheen (2) - 829 freq cheep (2) - 13 freq weep (2) - 18 freq wheeps (2) - 1 freq sheep (2) - 299 freq whee (2) - 1 freq wheet (2) - 3 freq whaes (3) - 27 freq wheat (3) - 30 freq whoopy (3) - 1 freq where (3) - 739 freq weepy (3) - 3 freq whie (3) - 1 freq |
SoundEx code - W100 wife - 818 freq we've - 301 freq wove - 9 freq whaup - 15 freq wifie - 328 freq wipe - 54 freq waefu - 25 freq web - 18 freq wave - 132 freq waff - 19 freq who've - 8 freq whip - 17 freq 'whoof - 1 freq 'whewff - 1 freq whewff - 1 freq whewph - 1 freq wi've - 9 freq wavy - 6 freq wowff - 4 freq whup - 8 freq weep - 18 freq wiv - 15 freq wha've - 5 freq wifey - 19 freq wab - 126 freq woefae - 1 freq weave - 24 freq wu've - 2 freq whiff - 19 freq wap - 3 freq wyfe - 19 freq wave' - 1 freq wee'v - 1 freq weev - 3 freq waive - 3 freq weve - 2 freq wv' - 1 freq wyve - 8 freq whap - 2 freq wuv - 22 freq weepy - 3 freq webb - 1 freq 'we've - 13 freq wavey - 1 freq wi'v - 17 freq woof - 21 freq whoopee - 3 freq weff - 1 freq whuff - 4 freq wifie' - 1 freq wife' - 3 freq 'whoopee - 1 freq we'v - 16 freq wiöve - 1 freq 'wife - 1 freq 'wave' - 1 freq 'wi'v - 1 freq wifi - 7 freq wyf - 5 freq whaap - 3 freq woopee - 2 freq wooooop - 1 freq waefu' - 1 freq wauf - 1 freq waeve - 1 freq wife- - 1 freq wheep - 8 freq we¹ve - 1 freq whae've - 3 freq wappie - 1 freq wub - 1 freq wip - 3 freq wp - 4 freq wive - 1 freq wowf - 2 freq wüve - 1 freq wipp - 1 freq 'whiff - 1 freq wyfie - 2 freq weebay - 1 freq wwf - 1 freq webby - 1 freq wappy - 1 freq wouf - 12 freq woop - 14 freq waif - 1 freq waefoo - 1 freq wuff - 1 freq €œw'uv - 1 freq wfi - 1 freq whfp - 1 freq wyive - 1 freq 'wifie' - 1 freq 'wifi' - 1 freq weÂ’ve - 14 freq wf - 4 freq wpa - 1 freq wvb - 1 freq wb - 4 freq wv - 3 freq wfb - 1 freq webbie - 2 freq wif - 1 freq waf - 1 freq wop - 1 freq wwp - 1 freq weÂ’v - 3 freq whoopy - 1 freq whoop - 32 freq whbw - 1 freq wuve - 1 freq wfh - 1 freq wevouo - 1 freq wbeo - 1 freq weafu - 1 freq wapuw - 1 freq |
MetaPhone code - WP whaup - 15 freq wipe - 54 freq whip - 17 freq whup - 8 freq weep - 18 freq wap - 3 freq whap - 2 freq weepy - 3 freq whoopee - 3 freq 'whoopee - 1 freq whaap - 3 freq woopee - 2 freq wooooop - 1 freq wheep - 8 freq wappie - 1 freq wip - 3 freq wipp - 1 freq wappy - 1 freq woop - 14 freq wop - 1 freq whoopy - 1 freq whoop - 32 freq wapuw - 1 freq |
WHEEP |
| Time to execute Levenshtein function - 0.207037 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 - 0.447422 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 - 0.027815 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 - 0.037529 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 - 0.000928 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. |