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 wilny in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
wilny (0) - 2 freq
willy (1) - 12 freq
wiley (1) - 1 freq
widny (1) - 4 freq
wily (1) - 6 freq
wilno (1) - 2 freq
wizny (1) - 1 freq
wisny (1) - 4 freq
wilna (1) - 20 freq
winny (1) - 7 freq
wiler (2) - 1 freq
wilds (2) - 7 freq
filly (2) - 8 freq
wink (2) - 117 freq
wini (2) - 2 freq
wirno (2) - 8 freq
win' (2) - 4 freq
disny (2) - 5 freq
widney (2) - 5 freq
wildly (2) - 7 freq
wlnh (2) - 1 freq
wanny (2) - 8 freq
isny (2) - 6 freq
wincy (2) - 2 freq
winsy (2) - 1 freq
wilny (0) - 2 freq
wilno (1) - 2 freq
wilna (1) - 20 freq
winny (2) - 7 freq
widny (2) - 4 freq
wulna (2) - 2 freq
willy (2) - 12 freq
wilin (2) - 1 freq
wisny (2) - 4 freq
wily (2) - 6 freq
wiley (2) - 1 freq
wizny (2) - 1 freq
wilnae (2) - 3 freq
wine (3) - 265 freq
waley (3) - 6 freq
wilde (3) - 3 freq
wille (3) - 1 freq
wunny (3) - 1 freq
wina (3) - 1 freq
wilma (3) - 3 freq
wally (3) - 47 freq
wien (3) - 1 freq
win (3) - 977 freq
wiled (3) - 1 freq
wisn (3) - 3 freq
SoundEx code - W450
woollen - 18 freq
william - 238 freq
'william - 2 freq
william' - 4 freq
wilinae - 1 freq
willnae - 96 freq
wheelin - 12 freq
whilin - 1 freq
wilnae - 3 freq
willna - 25 freq
wailin - 11 freq
wullin - 23 freq
willin - 58 freq
walin - 39 freq
willeen - 2 freq
wailin' - 2 freq
wullnae - 20 freq
wilma - 3 freq
willan - 5 freq
'wilham - 1 freq
wulnae - 11 freq
wulliam - 10 freq
'wulliam - 1 freq
wulliam' - 1 freq
whalin - 24 freq
wullyum - 6 freq
weel-on - 1 freq
wellin - 5 freq
wull'nae - 1 freq
williame - 1 freq
will'n - 3 freq
willum - 5 freq
'willum - 1 freq
willum' - 1 freq
waileen - 2 freq
waulliam - 1 freq
weel-noo - 1 freq
wilno - 2 freq
waalin - 1 freq
wheelan - 1 freq
wilin - 1 freq
wilna - 20 freq
willen - 4 freq
weilliam - 1 freq
woolen - 1 freq
wulna - 2 freq
wylin - 2 freq
willni - 2 freq
whilom - 1 freq
weelum - 5 freq
willno - 1 freq
€œwilliam - 10 freq
wullna - 3 freq
willin' - 2 freq
wlnh - 1 freq
wellen - 1 freq
wilny - 2 freq
'willnae' - 1 freq
wull-yum - 1 freq
willem - 1 freq
wulyn - 1 freq
MetaPhone code - WLN
woollen - 18 freq
wilinae - 1 freq
willnae - 96 freq
wheelin - 12 freq
whilin - 1 freq
wilnae - 3 freq
willna - 25 freq
wailin - 11 freq
ywowlin - 1 freq
wullin - 23 freq
willin - 58 freq
walin - 39 freq
willeen - 2 freq
wailin' - 2 freq
wullnae - 20 freq
willan - 5 freq
wulnae - 11 freq
whalin - 24 freq
weel-on - 1 freq
wellin - 5 freq
wull'nae - 1 freq
will'n - 3 freq
waileen - 2 freq
weel-noo - 1 freq
wilno - 2 freq
waalin - 1 freq
wheelan - 1 freq
wilin - 1 freq
wilna - 20 freq
willen - 4 freq
woolen - 1 freq
wulna - 2 freq
willni - 2 freq
willno - 1 freq
wullna - 3 freq
willin' - 2 freq
wellen - 1 freq
wilny - 2 freq
'willnae' - 1 freq
wulyn - 1 freq
WILNY
Time to execute Levenshtein function - 0.769508 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 - 1.199424 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 - 0.028419 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 - 0.097537 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 - 0.000775 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.