A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to woollen in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
woollen (0) - 18 freq
woolen (1) - 1 freq
woolly (2) - 9 freq
woolfe (2) - 1 freq
wooden (2) - 37 freq
swollen (2) - 12 freq
goolden (2) - 10 freq
pollen (2) - 3 freq
woolie (2) - 1 freq
wellen (2) - 1 freq
wooley (2) - 2 freq
woolies (2) - 2 freq
rollen (2) - 2 freq
willen (2) - 4 freq
toolin (3) - 1 freq
wooly (3) - 7 freq
woven (3) - 12 freq
fooled (3) - 7 freq
woll (3) - 1 freq
roller (3) - 27 freq
wolves (3) - 27 freq
willed (3) - 4 freq
coogled (3) - 1 freq
allen (3) - 2 freq
stolen (3) - 31 freq
woollen (0) - 18 freq
wellen (2) - 1 freq
willen (2) - 4 freq
woolen (2) - 1 freq
rollen (3) - 2 freq
wullin (3) - 23 freq
willeen (3) - 2 freq
wellin (3) - 5 freq
willin (3) - 59 freq
swollen (3) - 12 freq
pollen (3) - 3 freq
willan (3) - 5 freq
woolly (3) - 9 freq
fellen (4) - 1 freq
hollin (4) - 1 freq
waller (4) - 1 freq
swallen (4) - 4 freq
pollin (4) - 10 freq
walken (4) - 1 freq
wallend (4) - 1 freq
killen (4) - 4 freq
foallien (4) - 1 freq
waileen (4) - 2 freq
rollin (4) - 58 freq
welled (4) - 1 freq
SoundEx code - W450
woollen - 18 freq
william - 239 freq
'william - 2 freq
william' - 4 freq
wilinae - 1 freq
willnae - 101 freq
wheelin - 12 freq
whilin - 1 freq
wilnae - 3 freq
willna - 25 freq
wailin - 11 freq
wullin - 23 freq
willin - 59 freq
walin - 40 freq
willeen - 2 freq
wailin' - 2 freq
wulinae - 1 freq
willin' - 3 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
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 - 101 freq
wheelin - 12 freq
whilin - 1 freq
wilnae - 3 freq
willna - 25 freq
wailin - 11 freq
ywowlin - 1 freq
wullin - 23 freq
willin - 59 freq
walin - 40 freq
willeen - 2 freq
wailin' - 2 freq
wulinae - 1 freq
willin' - 3 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
wellen - 1 freq
wilny - 2 freq
'willnae' - 1 freq
wulyn - 1 freq
WOOLLEN
Time to execute Levenshtein function - 0.205871 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 - 0.394711 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 - 0.029692 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 - 0.044359 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 - 0.000981 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.