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 wersh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wersh (0) - 24 freq
warsh (1) - 1 freq
hersh (1) - 2 freq
werth (1) - 2 freq
welsh (1) - 175 freq
wershy (1) - 1 freq
weish (1) - 4 freq
ersh (1) - 1 freq
wersht (1) - 2 freq
wesh (1) - 8 freq
weesh (1) - 11 freq
derth (2) - 2 freq
eers (2) - 9 freq
gerss (2) - 5 freq
versa (2) - 4 freq
erth (2) - 3 freq
kesh (2) - 1 freq
terah (2) - 3 freq
yers (2) - 20 freq
welsch (2) - 1 freq
warst (2) - 72 freq
welch (2) - 4 freq
wirs (2) - 4 freq
wars (2) - 61 freq
pers (2) - 1 freq
wersh (0) - 24 freq
wershy (1) - 1 freq
warsh (1) - 1 freq
wersht (2) - 2 freq
weesh (2) - 11 freq
ersh (2) - 1 freq
wesh (2) - 8 freq
weish (2) - 4 freq
werth (2) - 2 freq
hersh (2) - 2 freq
welsh (2) - 175 freq
weers (3) - 16 freq
wurth (3) - 7 freq
harsh (3) - 20 freq
gorsh (3) - 1 freq
wash (3) - 134 freq
marsh (3) - 8 freq
owers (3) - 2 freq
ayrsh (3) - 1 freq
weirs (3) - 25 freq
verish (3) - 1 freq
wears (3) - 55 freq
wish (3) - 376 freq
wush (3) - 36 freq
warch (3) - 1 freq
SoundEx code - W620
wark - 903 freq
work - 674 freq
worse - 211 freq
warehoose - 3 freq
wirk - 340 freq
warks - 132 freq
wirks - 50 freq
whaur's - 45 freq
where's - 30 freq
wares - 6 freq
werk - 8 freq
wrack - 39 freq
wark''s - 1 freq
wirries - 10 freq
wires - 27 freq
wears - 55 freq
'where's - 7 freq
'whaur's - 9 freq
works - 121 freq
weers - 16 freq
worky - 1 freq
worries - 63 freq
waurk - 3 freq
war's - 3 freq
wirse - 6 freq
work's - 4 freq
'work - 2 freq
wurk - 73 freq
wurse - 16 freq
whaurs - 9 freq
wersh - 24 freq
wars - 61 freq
weirs - 25 freq
whar's - 9 freq
warse - 29 freq
wurries - 2 freq
wreck - 14 freq
wurrie's - 1 freq
woooooooaaaaaaarrch - 1 freq
'whar's - 2 freq
waars - 2 freq
wark's - 4 freq
whereas - 8 freq
werrocks - 1 freq
wrak - 3 freq
wurks - 3 freq
whars - 3 freq
wurs - 3 freq
whurs - 1 freq
whur's - 1 freq
warkie - 1 freq
warehouse - 1 freq
wrek' - 1 freq
wrecks - 2 freq
'whoors' - 1 freq
wreak - 1 freq
whoor's - 1 freq
whoors - 1 freq
wark' - 2 freq
'whir's - 1 freq
wirs - 4 freq
whaar's - 3 freq
wershy - 1 freq
wrack's - 1 freq
wracks - 11 freq
wrecksi - 1 freq
wairse - 1 freq
warsh - 1 freq
waark - 110 freq
waarks - 5 freq
wearies - 2 freq
weir's - 13 freq
whaaras - 23 freq
warg - 1 freq
weerg - 1 freq
wyres - 8 freq
whearies - 1 freq
work' - 1 freq
whurehouse - 1 freq
'weirs - 1 freq
warks' - 1 freq
whauras - 5 freq
whare's - 1 freq
wirricow - 1 freq
weirwaws - 1 freq
waurs - 1 freq
wraks - 1 freq
weires - 1 freq
warwick - 7 freq
weorc - 1 freq
warke - 1 freq
werke - 1 freq
werc - 1 freq
werck - 1 freq
woorke - 1 freq
€˜work - 2 freq
work-shy - 1 freq
€œwersh - 1 freq
whores - 2 freq
wharas - 1 freq
€˜wark - 1 freq
wahrz - 1 freq
weiris - 2 freq
wraik - 1 freq
warehoos - 1 freq
warsaw - 1 freq
wreuch - 1 freq
wirk's - 1 freq
wurc - 1 freq
wheres - 9 freq
warch - 1 freq
whaurÂ’s - 1 freq
wrzh - 1 freq
whereÂ’s - 2 freq
workshy - 1 freq
workie - 1 freq
weirÂ’s - 1 freq
MetaPhone code - WRX
wersh - 24 freq
woooooooaaaaaaarrch - 1 freq
wershy - 1 freq
warsh - 1 freq
€œwersh - 1 freq
warch - 1 freq
WERSH
Time to execute Levenshtein function - 0.178123 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 - 0.325943 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 - 0.027494 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 - 0.036781 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 - 0.000912 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.