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 shopper in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
shopper (0) - 3 freq
shoppers (1) - 3 freq
shoppe (1) - 2 freq
stopper (1) - 2 freq
whopper (1) - 3 freq
chopper (1) - 6 freq
chipper (2) - 24 freq
topper (2) - 12 freq
shoner (2) - 1 freq
stoppet (2) - 9 freq
sho'oer (2) - 2 freq
showder (2) - 3 freq
slipper (2) - 4 freq
supper (2) - 173 freq
bopper (2) - 3 freq
stoppen (2) - 1 freq
shippet (2) - 1 freq
sho'er (2) - 1 freq
stoppers (2) - 2 freq
shoappers (2) - 1 freq
shope (2) - 1 freq
sharper (2) - 1 freq
shoppies (2) - 6 freq
choppers (2) - 1 freq
shooder (2) - 132 freq
shopper (0) - 3 freq
whopper (2) - 3 freq
stopper (2) - 2 freq
chopper (2) - 6 freq
shoppe (2) - 2 freq
shoppers (2) - 3 freq
shoppies (3) - 6 freq
sharper (3) - 1 freq
shoappers (3) - 1 freq
shoppin (3) - 67 freq
swipper (3) - 8 freq
shipped (3) - 4 freq
sipper (3) - 6 freq
chepper (3) - 1 freq
chapper (3) - 2 freq
shoppie (3) - 50 freq
shoppeen (3) - 6 freq
sherper (3) - 2 freq
shoppan (3) - 1 freq
skipper (3) - 51 freq
shippet (3) - 1 freq
slipper (3) - 4 freq
chipper (3) - 24 freq
slapper (3) - 5 freq
supper (3) - 173 freq
SoundEx code - S160
spier - 42 freq
supper - 173 freq
siberia - 5 freq
shipraw - 1 freq
spur - 5 freq
shiver - 35 freq
s'faur - 1 freq
speir - 214 freq
spray - 42 freq
spare - 100 freq
spear - 28 freq
super - 37 freq
safer - 18 freq
'speir - 1 freq
skipper - 51 freq
shaver - 2 freq
swipper - 8 freq
'spare' - 2 freq
sipper - 6 freq
severe - 15 freq
spar - 14 freq
sparrae - 3 freq
sober - 31 freq
suffer - 58 freq
savoury - 1 freq
speer - 21 freq
syver - 4 freq
sabre - 2 freq
saviour - 14 freq
savour - 18 freq
saifer - 3 freq
spair - 1 freq
sub-par - 1 freq
spry - 3 freq
scaffer - 1 freq
sper - 1 freq
siver - 2 freq
sparra - 11 freq
sphere - 14 freq
sweeper - 3 freq
safari - 2 freq
sever - 3 freq
'safari - 3 freq
'sober - 1 freq
spree - 12 freq
siffer - 3 freq
'sphere - 1 freq
sphere' - 1 freq
savory - 1 freq
saufer - 2 freq
seffer - 1 freq
scabra - 1 freq
spire - 5 freq
sober' - 1 freq
sapphira - 1 freq
skyipper - 2 freq
sapphire - 1 freq
siever - 2 freq
suiffer - 1 freq
suffre - 1 freq
spoor - 2 freq
€˜spray - 1 freq
swaver - 1 freq
sauviour - 1 freq
sparrow - 5 freq
soapbar - 1 freq
€œsparra - 1 freq
soepboer - 1 freq
€˜spier - 1 freq
saufier - 1 freq
sover - 1 freq
speir' - 1 freq
€˜suffer - 1 freq
shopper - 3 freq
€œspare - 1 freq
€œspeir - 1 freq
sapr - 1 freq
soubry - 1 freq
siferry - 4 freq
sppry - 1 freq
MetaPhone code - XPR
shipraw - 1 freq
cheeper - 4 freq
chipper - 24 freq
chaiper - 2 freq
chopper - 6 freq
cheaper - 15 freq
chaper - 3 freq
chapper - 2 freq
shopper - 3 freq
chepper - 1 freq
SHOPPER
Time to execute Levenshtein function - 0.286182 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 - 0.584052 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 - 0.076453 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 - 0.038056 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 - 0.000905 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.