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 queens in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
queens (0) - 37 freq
queets (1) - 6 freq
queen (1) - 641 freq
queen's (1) - 52 freq
queen' (1) - 1 freq
queans (1) - 5 freq
queenis (1) - 1 freq
queen- (1) - 1 freq
sheens (2) - 10 freq
quene (2) - 12 freq
queeck (2) - 1 freq
queeit (2) - 2 freq
quins (2) - 1 freq
quean (2) - 5 freq
beens (2) - 35 freq
jeens (2) - 1 freq
teens (2) - 12 freq
squeers (2) - 1 freq
queats (2) - 2 freq
eens (2) - 131 freq
quietens (2) - 1 freq
preens (2) - 23 freq
freens (2) - 242 freq
queys (2) - 1 freq
busens (2) - 1 freq
queens (0) - 37 freq
queans (1) - 5 freq
queenis (1) - 1 freq
queen's (2) - 52 freq
queenies (2) - 1 freq
quins (2) - 1 freq
queen- (2) - 1 freq
queets (2) - 6 freq
queen' (2) - 1 freq
queen (2) - 641 freq
queenie (3) - 3 freq
meens (3) - 3 freq
queue's (3) - 1 freq
quines (3) - 155 freq
quynes (3) - 1 freq
queys (3) - 1 freq
queyn's (3) - 2 freq
geens (3) - 1 freq
queues (3) - 9 freq
queyn (3) - 3 freq
peens (3) - 6 freq
quean (3) - 5 freq
quene (3) - 12 freq
jeens (3) - 1 freq
beens (3) - 35 freq
SoundEx code - Q520
queen's - 52 freq
queens - 37 freq
quine's - 18 freq
quines - 155 freq
quines' - 2 freq
queyn's - 2 freq
quinie's - 12 freq
queans - 5 freq
queanie's - 1 freq
quinies - 7 freq
quhaams - 1 freq
quango - 1 freq
quince - 2 freq
quench - 1 freq
queenis - 1 freq
quynes - 1 freq
quineÂ’s - 1 freq
qnksa - 1 freq
quins - 1 freq
qyms - 1 freq
qnq - 1 freq
qamjs - 2 freq
qmg - 1 freq
quinikie - 1 freq
queenies - 1 freq
qmqe - 1 freq
qmj - 1 freq
MetaPhone code - KNS
kens - 531 freq
coins - 50 freq
queen's - 52 freq
queens - 37 freq
guns - 71 freq
quine's - 18 freq
quines - 155 freq
gans - 51 freq
gansey - 17 freq
quines' - 2 freq
queyn's - 2 freq
kenzie - 49 freq
'kenzie - 2 freq
cans - 45 freq
gowns - 2 freq
guinness - 9 freq
conn's - 4 freq
kynes - 11 freq
ken's - 6 freq
gunns - 2 freq
caw-ins - 1 freq
cons - 4 freq
cones - 2 freq
kins - 15 freq
connie's - 2 freq
quinie's - 12 freq
queans - 5 freq
guineas - 4 freq
queanie's - 1 freq
kines - 21 freq
quinies - 7 freq
gun's - 1 freq
guns' - 1 freq
goons - 9 freq
gauns - 30 freq
can's - 1 freq
gainsay - 2 freq
ganues - 1 freq
gayness - 1 freq
canes - 2 freq
cannes - 1 freq
'guinness - 1 freq
cannas - 2 freq
gunnie's - 8 freq
goonies - 3 freq
gonzo - 1 freq
ganzie - 14 freq
kenny's - 1 freq
cuns - 1 freq
gansie - 3 freq
gouns - 12 freq
quince - 2 freq
kyns - 2 freq
kynness - 1 freq
cain's - 1 freq
gains - 8 freq
con's - 3 freq
gaens - 1 freq
kaens - 2 freq
queenis - 1 freq
conns - 1 freq
gunes - 2 freq
canns - 1 freq
coneys - 1 freq
kains - 1 freq
gaeins - 1 freq
canus - 1 freq
goins - 2 freq
keenness - 1 freq
quynes - 1 freq
€˜guinness - 1 freq
quineÂ’s - 1 freq
guans - 1 freq
quins - 1 freq
consi - 8 freq
cains - 1 freq
guiness - 2 freq
kanes - 2 freq
queenies - 1 freq
kenÂ’s - 1 freq
goineasy - 1 freq
QUEENS
Time to execute Levenshtein function - 0.194228 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 - 0.363444 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 - 0.027292 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 - 0.036633 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 - 0.000884 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.