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 ussr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ussr (0) - 3 freq
ussf (1) - 2 freq
user (1) - 3 freq
ssrg (2) - 1 freq
usy (2) - 1 freq
urr (2) - 43 freq
sir (2) - 356 freq
jsr (2) - 1 freq
esso (2) - 5 freq
udhr (2) - 1 freq
usbf (2) - 14 freq
fuss (2) - 20 freq
mussy (2) - 3 freq
ufer (2) - 1 freq
users (2) - 7 freq
ssre (2) - 1 freq
sssa (2) - 8 freq
ssp (2) - 8 freq
ssm (2) - 1 freq
sqr (2) - 1 freq
us' (2) - 2 freq
uner (2) - 2 freq
ssh (2) - 1 freq
lss (2) - 1 freq
uise (2) - 281 freq
ussr (0) - 3 freq
ssre (2) - 1 freq
user (2) - 3 freq
ussf (2) - 2 freq
hussar (3) - 2 freq
isss (3) - 1 freq
sar (3) - 1 freq
auss (3) - 2 freq
us're (3) - 1 freq
uiss (3) - 130 freq
iss' (3) - 1 freq
yesser (3) - 1 freq
sur (3) - 22 freq
unser (3) - 3 freq
sss (3) - 1 freq
rosr (3) - 1 freq
uisst (3) - 1 freq
ssl (3) - 1 freq
usher (3) - 3 freq
ssd (3) - 12 freq
str (3) - 1 freq
eser (3) - 1 freq
aser (3) - 1 freq
ess (3) - 258 freq
asseir (3) - 1 freq
SoundEx code - U260
us're - 1 freq
usher - 3 freq
user - 3 freq
ussr - 3 freq
uiser - 5 freq
usri - 3 freq
uksrw - 1 freq
uighur - 34 freq
ukxkr - 1 freq
ueweaoijur - 1 freq
ushare - 1 freq
'ushare' - 1 freq
MetaPhone code - USR
us're - 1 freq
user - 3 freq
ussr - 3 freq
uiser - 5 freq
usri - 3 freq
USSR
Time to execute Levenshtein function - 0.197604 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 - 0.342330 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 - 0.028338 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 - 0.037864 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 - 0.000812 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.