| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| nemme (0) - 9 freq hemme (1) - 2 freq nemm (1) - 6 freq nemms (1) - 2 freq femme (1) - 2 freq gemme (1) - 105 freq lemme (1) - 4 freq nemmes (1) - 10 freq gimme (2) - 4 freq nems (2) - 20 freq gemms (2) - 14 freq emmm (2) - 2 freq eame (2) - 1 freq nehm (2) - 1 freq somme (2) - 12 freq neive (2) - 21 freq domme (2) - 1 freq nvmm (2) - 1 freq jemmie (2) - 4 freq nemd (2) - 1 freq neave (2) - 3 freq demmet (2) - 1 freq nayme (2) - 2 freq nebe (2) - 4 freq neice (2) - 3 freq |
nemme (0) - 9 freq nemm (1) - 6 freq nemmes (2) - 10 freq nummi (2) - 3 freq numm (2) - 1 freq lemme (2) - 4 freq nimmo (2) - 7 freq nemms (2) - 2 freq hemme (2) - 2 freq gemme (2) - 105 freq femme (2) - 2 freq hemmi (3) - 1 freq neem (3) - 22 freq emma (3) - 42 freq enemie (3) - 7 freq gemma (3) - 18 freq 'nemm (3) - 2 freq nimmle (3) - 2 freq hemm (3) - 12 freq neems (3) - 7 freq nummer (3) - 336 freq nem (3) - 53 freq name (3) - 1220 freq neamh (3) - 1 freq meme (3) - 4 freq |
SoundEx code - N500 nane - 547 freq nae'n - 1 freq name - 1220 freq neen - 131 freq nem - 53 freq newin - 1 freq nuhin - 48 freq nine - 234 freq none - 57 freq naewan - 22 freq 'name - 2 freq noon - 29 freq non - 39 freq 'nemm - 2 freq na-na - 1 freq n'en - 6 freq nuin - 14 freq name' - 3 freq nan - 14 freq 'nane - 5 freq neem - 22 freq neon - 7 freq nanny - 7 freq naim - 5 freq neyn - 1 freq 'nuhin - 1 freq nuhin- - 1 freq nim - 9 freq nun - 10 freq nono - 1 freq nino - 1 freq naein - 1 freq naen - 10 freq naomh - 1 freq 'nine - 2 freq nein - 4 freq 'nein - 1 freq nimmo - 7 freq niné - 1 freq nen - 6 freq nain - 5 freq nahum - 3 freq 'no-no' - 1 freq numm - 1 freq naomi - 14 freq nannie - 4 freq nemm - 6 freq nyne - 4 freq naem - 48 freq nano- - 1 freq nemme - 9 freq non- - 1 freq nana - 11 freq nina - 1 freq naime - 7 freq nehm - 1 freq nummi - 3 freq nohin - 1 freq nemea - 9 freq noun - 48 freq neamh - 1 freq nayme - 2 freq 'none - 1 freq nönin - 1 freq €˜nannie - 1 freq naeyin - 2 freq €œnane - 3 freq nin - 1 freq naehin - 3 freq na'hin - 2 freq nom - 2 freq €˜name - 1 freq nehemiah - 1 freq nu'hin' - 5 freq neon- - 1 freq €œneen - 2 freq naun - 1 freq nuhin' - 1 freq niamh - 16 freq €˜niamh - 1 freq nien - 5 freq neean - 1 freq naamah - 2 freq no-one - 3 freq €™nine - 1 freq nihin - 5 freq neeenaaw - 1 freq niemi - 1 freq nean - 1 freq nani - 1 freq nyum - 2 freq nuhin” - 1 freq 'naan' - 1 freq naan - 2 freq nanna - 1 freq nyhn - 1 freq nymy - 1 freq nym - 1 freq nyummy - 1 freq |
MetaPhone code - NM name - 1220 freq nem - 53 freq 'name - 2 freq numb - 25 freq 'nemm - 2 freq gnome - 2 freq namby - 1 freq name' - 3 freq neem - 22 freq naim - 5 freq nim - 9 freq naomh - 1 freq nimmo - 7 freq numm - 1 freq naomi - 14 freq nemm - 6 freq naem - 48 freq nemme - 9 freq naime - 7 freq nehm - 1 freq nummi - 3 freq nemea - 9 freq neamh - 1 freq nayme - 2 freq ném - 1 freq nom - 2 freq €˜name - 1 freq niamh - 16 freq €˜niamh - 1 freq naamah - 2 freq nme - 2 freq niemi - 1 freq nm - 2 freq nmw - 1 freq gnom - 2 freq nymy - 1 freq nym - 1 freq nmo - 1 freq |
NEMME |
| Time to execute Levenshtein function - 0.229609 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 - 0.518602 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 - 0.028521 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 - 0.074787 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 - 0.000939 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. |