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
wappy (1) - 1 freq
cappy (1) - 3 freq
sappy (1) - 19 freq
happy (1) - 764 freq
tappy (1) - 1 freq
bappy (1) - 27 freq
yappy (1) - 1 freq
knappy (1) - 1 freq
snappy (1) - 7 freq
napp (1) - 2 freq
nippy (1) - 29 freq
appy (1) - 1 freq
kappa (2) - 1 freq
app (2) - 46 freq
lippy (2) - 1 freq
papay (2) - 8 freq
narky (2) - 1 freq
raspy (2) - 3 freq
nay (2) - 152 freq
nappie (2) - 1 freq
zippy (2) - 3 freq
nancy (2) - 37 freq
unhappy (2) - 10 freq
happs (2) - 2 freq
nappy (0) - 15 freq
napp (1) - 2 freq
nippy (1) - 29 freq
cappy (2) - 3 freq
sappy (2) - 19 freq
wappy (2) - 1 freq
nappie (2) - 1 freq
snappy (2) - 7 freq
appy (2) - 1 freq
knappy (2) - 1 freq
happy (2) - 764 freq
bappy (2) - 27 freq
tappy (2) - 1 freq
yappy (2) - 1 freq
napa (3) - 3 freq
mappa (3) - 1 freq
haippy (3) - 2 freq
naps (3) - 2 freq
suppy (3) - 1 freq
puppy (3) - 31 freq
mappey (3) - 2 freq
naips (3) - 1 freq
nippt (3) - 5 freq
hippy (3) - 4 freq
knapp (3) - 2 freq
SoundEx code - N100
neb - 278 freq
nebbie - 9 freq
nieve - 29 freq
neive - 21 freq
nup - 12 freq
nip - 119 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 - 28 freq
nebby - 2 freq
newbie - 3 freq
nfu - 1 freq
nov - 4 freq
noup - 2 freq
nape - 2 freq
nub - 5 freq
nippie - 6 freq
nowp - 1 freq
naive - 11 freq
nova - 7 freq
noop - 1 freq
nevahhh - 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
€œnaeb - 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 - 119 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 - 0.187572 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 - 0.364956 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 - 0.028219 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 - 0.037097 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 - 0.000897 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.