A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to nebby in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nebby (0) - 2 freq
webby (1) - 1 freq
nebdy (1) - 1 freq
nobby (1) - 1 freq
tubby (2) - 1 freq
gibby (2) - 6 freq
fabby (2) - 68 freq
newly (2) - 27 freq
pebbly (2) - 2 freq
neebs (2) - 13 freq
nervy (2) - 5 freq
dubby (2) - 12 freq
webb (2) - 1 freq
nearby (2) - 51 freq
nebbin (2) - 2 freq
nebe (2) - 4 freq
neirby (2) - 4 freq
nebo (2) - 1 freq
ebbe (2) - 5 freq
namby (2) - 1 freq
bibby (2) - 3 freq
mebbe (2) - 692 freq
neeb (2) - 2 freq
derby (2) - 13 freq
abby (2) - 16 freq
nebby (0) - 2 freq
nobby (1) - 1 freq
webby (2) - 1 freq
nebdy (2) - 1 freq
nebbie (2) - 9 freq
tibby (3) - 16 freq
hubby (3) - 10 freq
ebb (3) - 27 freq
kubby (3) - 1 freq
nebbery (3) - 1 freq
mibby (3) - 27 freq
hibby (3) - 24 freq
babby (3) - 25 freq
robby (3) - 5 freq
neib (3) - 1 freq
nebs (3) - 42 freq
naebdy (3) - 93 freq
libby (3) - 10 freq
nabbie (3) - 7 freq
neb (3) - 278 freq
nabob (3) - 1 freq
nubbie (3) - 1 freq
nibbie (3) - 1 freq
habby (3) - 2 freq
neabdy (3) - 1 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 - NB
neb - 278 freq
nebbie - 9 freq
nabbie - 7 freq
nab - 10 freq
nebby - 2 freq
newbie - 3 freq
nub - 5 freq
nubbie - 1 freq
nib - 10 freq
knob - 12 freq
nob - 1 freq
neib - 1 freq
kneb - 1 freq
nebe - 4 freq
knoab - 1 freq
neeb - 2 freq
knabbie - 4 freq
€œnaeb - 1 freq
naeb - 8 freq
nibbie - 1 freq
nb - 4 freq
nebo - 1 freq
ynbiw - 1 freq
hnb - 1 freq
nobby - 1 freq
NEBBY
Time to execute Levenshtein function - 0.190768 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 - 0.324111 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 - 0.027992 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 - 0.037837 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 - 0.000881 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.