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 vupper in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vupper (0) - 1 freq
'upper (1) - 1 freq
supper (1) - 171 freq
upper (1) - 54 freq
upped (2) - 5 freq
€œupper (2) - 1 freq
supped (2) - 4 freq
kipper (2) - 5 freq
napper (2) - 36 freq
bopper (2) - 3 freq
wupped (2) - 7 freq
bumper (2) - 3 freq
popper (2) - 3 freq
dipper (2) - 3 freq
capper (2) - 2 freq
pepper (2) - 83 freq
super (2) - 36 freq
nipper (2) - 1 freq
suppen (2) - 1 freq
tapper (2) - 1 freq
pipper (2) - 2 freq
lipper (2) - 14 freq
papper (2) - 1 freq
kuiper (2) - 11 freq
sipper (2) - 6 freq
vupper (0) - 1 freq
'upper (2) - 1 freq
upper (2) - 54 freq
supper (2) - 171 freq
tipper (3) - 14 freq
copper (3) - 22 freq
sipper (3) - 6 freq
pipper (3) - 2 freq
wapper (3) - 2 freq
lipper (3) - 14 freq
papper (3) - 1 freq
rapper (3) - 4 freq
topper (3) - 12 freq
viper (3) - 1 freq
lapper (3) - 1 freq
ripper (3) - 10 freq
tapper (3) - 1 freq
dapper (3) - 4 freq
veeper (3) - 2 freq
popper (3) - 3 freq
bopper (3) - 3 freq
kipper (3) - 5 freq
dipper (3) - 3 freq
capper (3) - 2 freq
nipper (3) - 1 freq
SoundEx code - V160
veeper - 2 freq
vapour - 3 freq
vibrio - 1 freq
viper - 1 freq
vovr - 1 freq
vhbr - 1 freq
vupper - 1 freq
MetaPhone code - FPR
veeper - 2 freq
vapour - 3 freq
viper - 1 freq
fapor - 2 freq
vupper - 1 freq
VUPPER
Time to execute Levenshtein function - 0.205562 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 - 0.357588 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 - 0.027561 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 - 0.037386 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 - 0.000856 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.