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 nappy in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nappy (0) - 15 freq
happy (1) - 755 freq
sappy (1) - 19 freq
snappy (1) - 7 freq
yappy (1) - 1 freq
knappy (1) - 1 freq
napp (1) - 2 freq
tappy (1) - 1 freq
appy (1) - 1 freq
nippy (1) - 29 freq
cappy (1) - 3 freq
wappy (1) - 1 freq
bappy (1) - 27 freq
happs (2) - 2 freq
naips (2) - 1 freq
happt (2) - 14 freq
ppy (2) - 1 freq
nary (2) - 2 freq
navy (2) - 45 freq
nappie (2) - 1 freq
nay (2) - 152 freq
nippt (2) - 5 freq
app (2) - 47 freq
knapp (2) - 2 freq
haippy (2) - 2 freq
nappy (0) - 15 freq
nippy (1) - 29 freq
napp (1) - 2 freq
cappy (2) - 3 freq
bappy (2) - 27 freq
nappie (2) - 1 freq
appy (2) - 1 freq
wappy (2) - 1 freq
tappy (2) - 1 freq
happy (2) - 755 freq
sappy (2) - 19 freq
snappy (2) - 7 freq
yappy (2) - 1 freq
knappy (2) - 1 freq
napper (3) - 36 freq
lippy (3) - 1 freq
mappa (3) - 1 freq
hippy (3) - 4 freq
kappa (3) - 1 freq
nape (3) - 2 freq
nap (3) - 17 freq
rapp (3) - 1 freq
keppy (3) - 1 freq
naps (3) - 2 freq
poppy (3) - 21 freq
SoundEx code - N100
neb - 274 freq
nebbie - 9 freq
nieve - 29 freq
neive - 21 freq
nup - 12 freq
nip - 118 freq
nabbie - 7 freq
neep - 130 freq
nyaff - 24 freq
nippy - 29 freq
nappy - 15 freq
nab - 10 freq
navy - 45 freq
'nup - 1 freq
'nuff - 1 freq
nephew - 27 freq
nebby - 2 freq
newbie - 2 freq
nfu - 1 freq
nov - 4 freq
noup - 2 freq
nape - 2 freq
nub - 5 freq
nippie - 6 freq
nowp - 1 freq
naive - 10 freq
nova - 7 freq
noop - 1 freq
nubbie - 1 freq
nib - 10 freq
nove - 1 freq
naïve - 5 freq
neave - 3 freq
no've - 2 freq
nop - 1 freq
naff - 2 freq
nebfu - 1 freq
nob - 1 freq
neib - 1 freq
nappie - 1 freq
nap - 17 freq
nope - 18 freq
nev - 6 freq
nav - 3 freq
neep' - 1 freq
nebe - 4 freq
niep - 2 freq
naïf - 1 freq
napa - 3 freq
nyaaf - 2 freq
neeb - 2 freq
niff - 1 freq
nae-pea - 1 freq
niv - 5 freq
nevoy - 7 freq
€œnip - 2 freq
nava - 30 freq
€™nyf - 1 freq
€˜nup - 2 freq
naeb - 8 freq
napp - 2 freq
nouveau - 3 freq
€˜nippy - 3 freq
nave - 1 freq
naffu - 1 freq
nibbie - 1 freq
navvy - 1 freq
nb - 4 freq
nev-foo - 1 freq
nebo - 1 freq
new-faa - 1 freq
nv - 5 freq
nnpw - 1 freq
nf - 2 freq
np - 5 freq
nvw - 1 freq
nva - 2 freq
nuf - 1 freq
neap - 1 freq
noyfea - 1 freq
npu - 1 freq
nhv - 1 freq
nfb - 1 freq
'nip - 2 freq
'neep' - 3 freq
nobby - 1 freq
naafi - 1 freq
MetaPhone code - NP
nup - 12 freq
nip - 118 freq
neep - 130 freq
nippy - 29 freq
nappy - 15 freq
'nup - 1 freq
noup - 2 freq
nape - 2 freq
nippie - 6 freq
nowp - 1 freq
noop - 1 freq
knapp - 2 freq
knap - 9 freq
nop - 1 freq
knappy - 1 freq
nappie - 1 freq
nap - 17 freq
gnap - 1 freq
nope - 18 freq
neep' - 1 freq
niep - 2 freq
napa - 3 freq
nae-pea - 1 freq
€œnip - 2 freq
€˜nup - 2 freq
napp - 2 freq
€˜nippy - 3 freq
nnpw - 1 freq
np - 5 freq
neap - 1 freq
npu - 1 freq
'nip - 2 freq
'neep' - 3 freq
NAPPY
Time to execute Levenshtein function - 0.174982 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 - 0.338683 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 - 0.027403 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 - 0.037806 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 - 0.000823 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.