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 upper in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
upper (0) - 54 freq
'upper (1) - 1 freq
supper (1) - 171 freq
uppers (1) - 2 freq
vupper (1) - 1 freq
upped (1) - 5 freq
wyper (2) - 1 freq
wapper (2) - 2 freq
uber (2) - 2 freq
riper (2) - 4 freq
dipper (2) - 3 freq
piper (2) - 24 freq
puppet (2) - 14 freq
poer (2) - 1 freq
muppet (2) - 11 freq
oppor (2) - 1 freq
appert (2) - 1 freq
leper (2) - 2 freq
hyper (2) - 4 freq
ripper (2) - 10 freq
caper (2) - 14 freq
pipper (2) - 2 freq
paer (2) - 3 freq
capper (2) - 2 freq
pier (2) - 38 freq
upper (0) - 54 freq
oppor (2) - 1 freq
piper (2) - 24 freq
appar (2) - 2 freq
appeir (2) - 1 freq
pyper (2) - 4 freq
ppera (2) - 24 freq
appear (2) - 98 freq
paper (2) - 511 freq
uppers (2) - 2 freq
upped (2) - 5 freq
supper (2) - 171 freq
vupper (2) - 1 freq
'upper (2) - 1 freq
nipper (3) - 1 freq
napper (3) - 36 freq
pypar (3) - 1 freq
iper (3) - 7 freq
copper (3) - 22 freq
liper (3) - 1 freq
kuiper (3) - 11 freq
ppe (3) - 3 freq
lapper (3) - 1 freq
papper (3) - 1 freq
oppen (3) - 31 freq
SoundEx code - U160
upper - 54 freq
up-or - 1 freq
upr - 2 freq
'upper - 1 freq
ufer - 1 freq
ueber - 1 freq
€œupper - 1 freq
uber - 2 freq
uapr - 1 freq
uvver - 10 freq
uvyr - 1 freq
MetaPhone code - UPR
upper - 54 freq
up-or - 1 freq
upr - 2 freq
'upper - 1 freq
€œupper - 1 freq
uapr - 1 freq
UPPER
Time to execute Levenshtein function - 0.160292 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 - 0.322912 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 - 0.028887 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 - 0.036533 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 - 0.000844 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.