| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| mmm-mmm-mmm-m'mmm-my (7) - 2 freq m-m-mammy (7) - 2 freq mmmmm (8) - 1 freq €œmmmmm (8) - 2 freq mim-moued (9) - 2 freq mim-mou'd (9) - 2 freq gimmejimmy (9) - 1 freq mid-summers (9) - 1 freq mumbo-jumbo (9) - 1 freq mammy-daddy (9) - 2 freq erm-in-erm (9) - 1 freq rummle-tummle (9) - 1 freq €œmmmm (9) - 1 freq man-wumman (9) - 2 freq hmmmm (9) - 4 freq him--- (9) - 1 freq mmmm (9) - 7 freq simmer-time (9) - 1 freq term-time (10) - 1 freq warlord-imam (10) - 1 freq b-a-a-k (10) - 1 freq t-o-c-h-t (10) - 1 freq midsimmer's (10) - 1 freq communism (10) - 2 freq raem-calm (10) - 1 freq |
m-m-mammy (13) - 2 freq mmm-mmm-mmm-m'mmm-my (13) - 2 freq mmmmm (16) - 1 freq €œmmmmm (16) - 2 freq rummle-tummle (17) - 1 freq man-wumman (18) - 2 freq €œmmmm (18) - 1 freq him--- (18) - 1 freq simmer-time (18) - 1 freq boom-boom-boom (18) - 1 freq mmmm (18) - 7 freq hmmmm (18) - 4 freq mim-mou'd (18) - 2 freq erm-in-erm (18) - 1 freq mim-moued (18) - 2 freq mid-summers (18) - 1 freq gimmejimmy (18) - 1 freq mammy-daddy (18) - 2 freq mumbo-jumbo (18) - 1 freq misgyde-me-na (19) - 1 freq airm-in-airm (19) - 5 freq getmaimmodium (19) - 1 freq wham-bammer (19) - 1 freq hum-drum-like (19) - 1 freq morn-cam-never (19) - 1 freq |
SoundEx code - M000 ma - 14791 freq me - 12728 freq may - 443 freq mou - 176 freq my - 2921 freq maw - 381 freq 'ma - 79 freq me' - 17 freq moo - 173 freq mi - 246 freq me-ah - 1 freq m- - 8 freq m - 847 freq mah - 379 freq mo - 32 freq 'my - 39 freq 'm - 18 freq ''m - 8 freq 'me - 15 freq mu - 11 freq mea - 5 freq mn - 8 freq mmm - 21 freq moo' - 1 freq mawhi - 1 freq mey - 87 freq 'moo' - 1 freq 'mah - 2 freq 'may - 2 freq mm - 18 freq meeeee - 1 freq 'mmm - 1 freq 'm'a - 1 freq mae - 361 freq mei - 86 freq mma - 3 freq mie - 3 freq mee - 23 freq maa - 16 freq 'mm - 1 freq ma' - 5 freq 'maw - 2 freq moi - 2 freq moe - 2 freq mia - 8 freq mmmm - 7 freq meh - 192 freq 'meh - 1 freq maaa - 4 freq m'ma - 2 freq mai - 4 freq maya - 2 freq mew - 2 freq mön - 10 freq mow - 4 freq mayo - 3 freq ®ma - 1 freq mooo - 2 freq mmm-mmm-mmm-m'mmm-my - 2 freq miaow - 1 freq 'mo - 3 freq mueh - 1 freq ™mo - 2 freq ˆm - 2 freq ›m - 2 freq mowe - 1 freq mi' - 1 freq 'me' - 1 freq may' - 1 freq €™m - 1285 freq €˜maw - 1 freq meow - 3 freq €œma - 17 freq €œmi - 1 freq €˜my - 8 freq ðém - 1 freq €œmy - 20 freq €˜ma - 8 freq mawe - 6 freq €œmey - 1 freq €˜m - 4 freq €œmmmm - 1 freq €œme - 10 freq mae- - 2 freq €˜me - 7 freq meo - 1 freq meeeh - 3 freq mw - 2 freq €™ma - 4 freq €œmmmmm - 2 freq my- - 1 freq €œmooooo - 1 freq maha - 3 freq €™me - 3 freq €œm - 1 freq €œmeh - 1 freq moa - 20 freq me- - 1 freq à m - 1 freq m'n - 3 freq m' - 1 freq mowi - 1 freq mooie - 3 freq myo - 1 freq mye - 6 freq mui - 1 freq mhu - 1 freq mao - 2 freq mh - 3 freq mhw - 1 freq 'maw' - 1 freq 'ma' - 1 freq meeeeeeeeee - 1 freq mmmmm - 1 freq meÂ’ - 1 freq maw” - 1 freq mwh - 1 freq mmw - 1 freq “me - 1 freq muu - 2 freq 'mae - 1 freq ‘my - 1 freq 'may' - 1 freq meeee - 1 freq |
MetaPhone code - MMMM m-m-mammy - 2 freq |
MMM-MMM-MMM-M |
| Time to execute Levenshtein function - 0.193521 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 - 0.366514 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 - 0.030540 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 - 0.039997 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 - 0.001254 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. |