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 nehemiah in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nehemiah (0) - 1 freq
jeremiah (2) - 4 freq
hezekiah (3) - 4 freq
bohemian (3) - 2 freq
reemish (3) - 1 freq
bohemia (3) - 2 freq
'heich (4) - 1 freq
leemits (4) - 19 freq
enemies (4) - 37 freq
ninevah (4) - 2 freq
then-ah (4) - 3 freq
schemie (4) - 2 freq
need'ae (4) - 3 freq
neebra (4) - 3 freq
nevermind (4) - 1 freq
seemin (4) - 15 freq
neirish (4) - 2 freq
heaith (4) - 1 freq
teemins (4) - 1 freq
neilmac (4) - 1 freq
sehberian (4) - 1 freq
nemea (4) - 9 freq
neems (4) - 7 freq
naismith (4) - 1 freq
neymar (4) - 1 freq
nehemiah (0) - 1 freq
jeremiah (4) - 4 freq
nehm (5) - 1 freq
neamh (5) - 1 freq
naamah (5) - 2 freq
bohemia (5) - 2 freq
bohemian (5) - 2 freq
heich (6) - 264 freq
anaemia (6) - 1 freq
naysmith (6) - 3 freq
phemie (6) - 2 freq
jehovah (6) - 1 freq
enemas (6) - 1 freq
enemie (6) - 7 freq
yeehah (6) - 1 freq
chemise (6) - 2 freq
hamish (6) - 46 freq
ehman (6) - 1 freq
shelah (6) - 3 freq
niemi (6) - 1 freq
anemia (6) - 1 freq
nahum (6) - 3 freq
niamh (6) - 16 freq
inhuman (6) - 2 freq
newman (6) - 20 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 - NHM
nahum - 3 freq
nehemiah - 1 freq
NEHEMIAH
Time to execute Levenshtein function - 0.194593 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 - 0.350875 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 - 0.029089 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 - 0.044409 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 - 0.000919 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.