| Levenshtein | Double Levenshtein | SoundEx | MetaPhone | Manually curated |
|---|---|---|---|---|
| nehm (0) - 1 freq neem (1) - 22 freq kehm (1) - 1 freq nemm (1) - 6 freq nem (1) - 53 freq 'ehm (1) - 1 freq nec (2) - 2 freq neen (2) - 131 freq eum (2) - 1 freq team (2) - 306 freq seem (2) - 404 freq naem (2) - 48 freq nah (2) - 94 freq nein (2) - 4 freq nhs (2) - 38 freq erm (2) - 70 freq nero (2) - 1 freq heem (2) - 17 freq ehz (2) - 1 freq nest (2) - 81 freq €™hm (2) - 1 freq neap (2) - 1 freq sehs (2) - 1 freq herm (2) - 51 freq fehv (2) - 1 freq |
nehm (0) - 1 freq nahum (2) - 3 freq nem (2) - 53 freq 'ehm (2) - 1 freq neem (2) - 22 freq kehm (2) - 1 freq nemm (2) - 6 freq naim (3) - 5 freq nfum (3) - 2 freq 'ahm (3) - 10 freq nvm (3) - 1 freq hm (3) - 13 freq nom (3) - 2 freq nxm (3) - 1 freq nemme (3) - 9 freq oehum (3) - 1 freq nyum (3) - 2 freq nym (3) - 1 freq nhy (3) - 1 freq nm (3) - 2 freq numm (3) - 1 freq a'hm (3) - 5 freq ianhm (3) - 1 freq nim (3) - 9 freq nrm (3) - 3 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 |
NEHM |
| Time to execute Levenshtein function - 0.182859 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 - 0.345139 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 - 0.027159 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 - 0.038034 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 - 0.000879 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. |