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 willna in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
willna (0) - 25 freq
will'a (1) - 1 freq
willno (1) - 1 freq
willni (1) - 2 freq
willnae (1) - 96 freq
willa (1) - 3 freq
wilna (1) - 20 freq
wullna (1) - 3 freq
willae (2) - 2 freq
will'n (2) - 3 freq
will's (2) - 1 freq
winna (2) - 384 freq
wille (2) - 1 freq
widna (2) - 440 freq
willfu (2) - 1 freq
willow (2) - 15 freq
willint (2) - 5 freq
filla (2) - 1 freq
willin' (2) - 2 freq
willing (2) - 10 freq
willie (2) - 196 freq
willy (2) - 12 freq
wilno (2) - 2 freq
wilnae (2) - 3 freq
william (2) - 238 freq
willna (0) - 25 freq
willnae (1) - 96 freq
willni (1) - 2 freq
wullna (1) - 3 freq
willno (1) - 1 freq
will'a (2) - 1 freq
willen (2) - 4 freq
willan (2) - 5 freq
wullnae (2) - 20 freq
wilna (2) - 20 freq
willin (2) - 58 freq
willa (2) - 3 freq
willem (3) - 1 freq
willox (3) - 1 freq
willis (3) - 1 freq
wilin (3) - 1 freq
willl (3) - 1 freq
sallna (3) - 1 freq
wilny (3) - 2 freq
will (3) - 3251 freq
wellin (3) - 5 freq
wellen (3) - 1 freq
willeen (3) - 2 freq
wuldna (3) - 9 freq
will' (3) - 2 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
WILLNA
Time to execute Levenshtein function - 0.309024 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 - 0.380574 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 - 0.027356 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 - 0.040327 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 - 0.000818 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.