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 woop in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
woop (0) - 14 freq
wop (1) - 1 freq
woot (1) - 1 freq
oop (1) - 2 freq
noop (1) - 1 freq
hoop (1) - 34 freq
woos (1) - 1 freq
woo (1) - 19 freq
poop (1) - 3 freq
whoop (1) - 32 freq
swoop (1) - 3 freq
coop (1) - 1 freq
joop (1) - 1 freq
wooo (1) - 3 freq
wool (1) - 31 freq
wjop (1) - 1 freq
loop (1) - 9 freq
soop (1) - 17 freq
wood (1) - 67 freq
woof (1) - 21 freq
poap (2) - 1 freq
pool (2) - 111 freq
bood (2) - 2 freq
yoon (2) - 6 freq
woe (2) - 9 freq
woop (0) - 14 freq
wop (1) - 1 freq
loop (2) - 9 freq
soop (2) - 17 freq
wjop (2) - 1 freq
wool (2) - 31 freq
wood (2) - 67 freq
woopee (2) - 2 freq
weep (2) - 18 freq
wip (2) - 3 freq
wp (2) - 4 freq
wooo (2) - 3 freq
woof (2) - 21 freq
wap (2) - 3 freq
noop (2) - 1 freq
woos (2) - 1 freq
woot (2) - 1 freq
hoop (2) - 34 freq
joop (2) - 1 freq
oop (2) - 2 freq
poop (2) - 3 freq
swoop (2) - 3 freq
coop (2) - 1 freq
woo (2) - 19 freq
whoop (2) - 32 freq
SoundEx code - W100
wife - 818 freq
we've - 301 freq
wove - 9 freq
whaup - 15 freq
wifie - 328 freq
wipe - 54 freq
waefu - 25 freq
web - 18 freq
wave - 132 freq
waff - 19 freq
who've - 8 freq
whip - 17 freq
'whoof - 1 freq
'whewff - 1 freq
whewff - 1 freq
whewph - 1 freq
wi've - 9 freq
wavy - 6 freq
wowff - 4 freq
whup - 8 freq
weep - 18 freq
wiv - 15 freq
wha've - 5 freq
wifey - 19 freq
wab - 126 freq
woefae - 1 freq
weave - 24 freq
wu've - 2 freq
whiff - 19 freq
wap - 3 freq
wyfe - 19 freq
wave' - 1 freq
wee'v - 1 freq
weev - 3 freq
waive - 3 freq
weve - 2 freq
wv' - 1 freq
wyve - 8 freq
whap - 2 freq
wuv - 22 freq
weepy - 3 freq
webb - 1 freq
'we've - 13 freq
wavey - 1 freq
wi'v - 17 freq
woof - 21 freq
whoopee - 3 freq
weff - 1 freq
whuff - 4 freq
wifie' - 1 freq
wife' - 3 freq
'whoopee - 1 freq
we'v - 16 freq
wiöve - 1 freq
'wife - 1 freq
'wave' - 1 freq
'wi'v - 1 freq
wifi - 7 freq
wyf - 5 freq
whaap - 3 freq
woopee - 2 freq
wooooop - 1 freq
waefu' - 1 freq
wauf - 1 freq
waeve - 1 freq
wife- - 1 freq
wheep - 8 freq
we¹ve - 1 freq
whae've - 3 freq
wappie - 1 freq
wub - 1 freq
wip - 3 freq
wp - 4 freq
wive - 1 freq
wowf - 2 freq
wüve - 1 freq
wipp - 1 freq
'whiff - 1 freq
wyfie - 2 freq
weebay - 1 freq
wwf - 1 freq
webby - 1 freq
wappy - 1 freq
wouf - 12 freq
woop - 14 freq
waif - 1 freq
waefoo - 1 freq
wuff - 1 freq
€œw'uv - 1 freq
wfi - 1 freq
whfp - 1 freq
wyive - 1 freq
'wifie' - 1 freq
'wifi' - 1 freq
weÂ’ve - 14 freq
wf - 4 freq
wpa - 1 freq
wvb - 1 freq
wb - 4 freq
wv - 3 freq
wfb - 1 freq
webbie - 2 freq
wif - 1 freq
waf - 1 freq
wop - 1 freq
wwp - 1 freq
weÂ’v - 3 freq
whoopy - 1 freq
whoop - 32 freq
whbw - 1 freq
wuve - 1 freq
wfh - 1 freq
wevouo - 1 freq
wbeo - 1 freq
weafu - 1 freq
wapuw - 1 freq
MetaPhone code - WP
whaup - 15 freq
wipe - 54 freq
whip - 17 freq
whup - 8 freq
weep - 18 freq
wap - 3 freq
whap - 2 freq
weepy - 3 freq
whoopee - 3 freq
'whoopee - 1 freq
whaap - 3 freq
woopee - 2 freq
wooooop - 1 freq
wheep - 8 freq
wappie - 1 freq
wip - 3 freq
wipp - 1 freq
wappy - 1 freq
woop - 14 freq
wop - 1 freq
whoopy - 1 freq
whoop - 32 freq
wapuw - 1 freq
WOOP
Time to execute Levenshtein function - 0.331961 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 - 0.604053 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 - 0.070092 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 - 0.038267 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 - 0.000885 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.