A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to naomh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
naomh (0) - 1 freq
naomi (1) - 14 freq
naems (2) - 16 freq
nom (2) - 2 freq
taobh (2) - 1 freq
naah (2) - 3 freq
nosh (2) - 1 freq
niamh (2) - 16 freq
noch (2) - 2 freq
natch (2) - 2 freq
nash (2) - 2 freq
name (2) - 1220 freq
nayme (2) - 2 freq
lamh (2) - 1 freq
nah (2) - 94 freq
naime (2) - 7 freq
naamah (2) - 2 freq
noah (2) - 22 freq
naim (2) - 5 freq
neamh (2) - 1 freq
naem (2) - 48 freq
noth (2) - 5 freq
gaime (3) - 1 freq
thomp (3) - 1 freq
ham (3) - 49 freq
naomh (0) - 1 freq
naamah (2) - 2 freq
niamh (2) - 16 freq
neamh (2) - 1 freq
naomi (2) - 14 freq
naime (3) - 7 freq
nah (3) - 94 freq
naems (3) - 16 freq
naim (3) - 5 freq
naem (3) - 48 freq
lamh (3) - 1 freq
noah (3) - 22 freq
noth (3) - 5 freq
nom (3) - 2 freq
naah (3) - 3 freq
nayme (3) - 2 freq
noch (3) - 2 freq
nosh (3) - 1 freq
nash (3) - 2 freq
name (3) - 1220 freq
naimes (4) - 5 freq
namin (4) - 7 freq
nuh (4) - 4 freq
smh (4) - 3 freq
nigh (4) - 18 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
NAOMH
Time to execute Levenshtein function - 0.187957 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 - 0.339796 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 - 0.031791 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 - 0.039228 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 - 0.000925 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.