A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to npu in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
npu (0) - 1 freq
tpu (1) - 1 freq
npn (1) - 1 freq
npx (1) - 1 freq
spu (1) - 1 freq
jpu (1) - 1 freq
nou (1) - 1378 freq
nu (1) - 10 freq
npd (1) - 1 freq
fpu (1) - 1 freq
npq (1) - 1 freq
np (1) - 5 freq
niu (1) - 1 freq
pu (1) - 94 freq
nxu (1) - 1 freq
nfu (1) - 1 freq
neg (2) - 1 freq
tu (2) - 23 freq
lou (2) - 31 freq
'du (2) - 8 freq
cpg (2) - 20 freq
nah (2) - 94 freq
cpt (2) - 1 freq
dpn (2) - 1 freq
qgu (2) - 1 freq
npu (0) - 1 freq
np (1) - 5 freq
nop (2) - 1 freq
nxu (2) - 1 freq
nup (2) - 12 freq
nfu (2) - 1 freq
napa (2) - 3 freq
nap (2) - 17 freq
nape (2) - 2 freq
nope (2) - 18 freq
nip (2) - 119 freq
pu (2) - 94 freq
noup (2) - 2 freq
spu (2) - 1 freq
npx (2) - 1 freq
jpu (2) - 1 freq
niu (2) - 1 freq
nou (2) - 1378 freq
tpu (2) - 1 freq
npq (2) - 1 freq
fpu (2) - 1 freq
npd (2) - 1 freq
nu (2) - 10 freq
npn (2) - 1 freq
nis (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
NPU
Time to execute Levenshtein function - 0.214184 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 - 0.355464 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 - 0.027874 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 - 0.041124 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 - 0.003173 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.