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 ugliness in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ugliness (0) - 1 freq
uglies (2) - 1 freq
oagliness (2) - 1 freq
haliness (2) - 2 freq
ugliest (2) - 1 freq
guiness (2) - 2 freq
holiness (2) - 1 freq
coldness (3) - 2 freq
fullness (3) - 4 freq
unless (3) - 139 freq
maleness (3) - 1 freq
halieness (3) - 1 freq
wullinness (3) - 1 freq
klines (3) - 1 freq
gliders (3) - 2 freq
gladness (3) - 1 freq
line's (3) - 2 freq
dubliners (3) - 2 freq
'guinness (3) - 1 freq
gayness (3) - 1 freq
fellness (3) - 1 freq
godliness (3) - 1 freq
gledness (3) - 5 freq
dowiness (3) - 1 freq
laziness (3) - 1 freq
ugliness (0) - 1 freq
oagliness (2) - 1 freq
holiness (3) - 1 freq
guiness (3) - 2 freq
haliness (3) - 2 freq
lioness (4) - 2 freq
goldness (4) - 1 freq
guiless (4) - 1 freq
glints (4) - 6 freq
giless (4) - 4 freq
wulness (4) - 1 freq
agness (4) - 2 freq
gliss (4) - 1 freq
lyness (4) - 1 freq
glenesk (4) - 1 freq
guidiness (4) - 1 freq
guinness (4) - 16 freq
wileness (4) - 1 freq
guidness (4) - 22 freq
gless (4) - 395 freq
glaess (4) - 1 freq
haleness (4) - 1 freq
godness (4) - 1 freq
illness (4) - 24 freq
glegness (4) - 7 freq
SoundEx code - U245
uglian - 2 freq
ugliness - 1 freq
uslanguagesoc - 2 freq
uswlemag - 1 freq
ukulemae - 5 freq
MetaPhone code - UKLNS
ugliness - 1 freq
UGLINESS
Time to execute Levenshtein function - 0.284360 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 - 0.484966 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 - 0.027629 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 - 0.040704 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 - 0.000989 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.