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 zucker in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
zucker (0) - 1 freq
fucker (1) - 22 freq
pucker (1) - 1 freq
mucker (1) - 11 freq
sucker (1) - 3 freq
locker (2) - 3 freq
burker (2) - 2 freq
mucked (2) - 4 freq
kyucker (2) - 3 freq
trucker (2) - 1 freq
plucker (2) - 1 freq
bucher (2) - 1 freq
docker (2) - 4 freq
wurker (2) - 3 freq
sicker (2) - 8 freq
ticker (2) - 3 freq
brucker (2) - 1 freq
muckers (2) - 4 freq
unker (2) - 4 freq
pucked (2) - 1 freq
packer (2) - 1 freq
nicker (2) - 1 freq
muckler (2) - 10 freq
tucked (2) - 36 freq
hunker (2) - 12 freq
zucker (0) - 1 freq
fucker (2) - 22 freq
mucker (2) - 11 freq
sucker (2) - 3 freq
pucker (2) - 1 freq
icker (3) - 2 freq
fecker (3) - 14 freq
qiucker (3) - 1 freq
decker (3) - 12 freq
nicker (3) - 1 freq
luckier (3) - 5 freq
rocker (3) - 3 freq
licker (3) - 1 freq
wicker (3) - 2 freq
packer (3) - 1 freq
cocker (3) - 1 freq
pecker (3) - 1 freq
bicker (3) - 12 freq
quicker (3) - 57 freq
sicker (3) - 8 freq
ticker (3) - 3 freq
kyucker (3) - 3 freq
docker (3) - 4 freq
locker (3) - 3 freq
burker (4) - 2 freq
SoundEx code - Z260
zechariah - 19 freq
zucker - 1 freq
zwesr - 1 freq
zojyr - 1 freq
MetaPhone code - SKR
sugar - 88 freq
square - 164 freq
sgair - 1 freq
sugary - 11 freq
skyrie - 30 freq
sikkar - 7 freq
screw - 24 freq
skyre - 6 freq
skaur - 1 freq
scry - 4 freq
secure - 22 freq
score - 94 freq
scourie - 2 freq
scare - 20 freq
cigar - 19 freq
scary - 55 freq
skeer - 2 freq
scoor - 12 freq
sucker - 3 freq
sikker - 1 freq
skare - 4 freq
squere - 1 freq
scaur - 14 freq
scurrie - 3 freq
sicker - 8 freq
scair - 2 freq
scairry - 1 freq
scoorie - 3 freq
skour - 3 freq
scar - 16 freq
sooker - 2 freq
skroo - 14 freq
squarie - 1 freq
skara - 4 freq
squire - 2 freq
skera - 1 freq
skier - 2 freq
seeker - 2 freq
scrae - 1 freq
'square - 1 freq
'sugar - 1 freq
scur - 1 freq
squaarie - 2 freq
score' - 1 freq
siecar - 1 freq
scaar - 20 freq
skerry - 7 freq
scrow - 2 freq
squar - 7 freq
skeerie - 6 freq
skrow - 1 freq
secrie - 2 freq
skair - 8 freq
skarr - 2 freq
scurry - 3 freq
skoor - 1 freq
scree - 7 freq
scroo - 2 freq
scorrie - 1 freq
scarey - 2 freq
scour - 4 freq
squerr - 2 freq
skirr - 1 freq
scarrae - 1 freq
skurrie - 1 freq
seicrie - 2 freq
ceegar - 1 freq
€˜ceegar - 1 freq
€˜square- - 1 freq
skrie - 1 freq
zucker - 1 freq
scurra - 1 freq
'sugar' - 1 freq
squarr - 1 freq
sker - 1 freq
€œsugar - 1 freq
xcureiw - 1 freq
skurry - 1 freq
skeery - 1 freq
sqr - 1 freq
sgurr - 1 freq
skaar - 1 freq
scorie - 1 freq
ZUCKER
Time to execute Levenshtein function - 0.326196 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 - 0.794444 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 - 0.079888 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 - 0.038462 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 - 0.000915 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.