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 bent in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bent (0) - 104 freq
tent (1) - 460 freq
bet (1) - 158 freq
belt (1) - 162 freq
bert (1) - 106 freq
beat (1) - 212 freq
fent (1) - 11 freq
pent (1) - 39 freq
brent (1) - 17 freq
bene (1) - 106 freq
bens (1) - 47 freq
went (1) - 1923 freq
ment (1) - 18 freq
cent (1) - 20 freq
be't (1) - 3 freq
lent (1) - 38 freq
blent (1) - 6 freq
hent (1) - 6 freq
vent (1) - 6 freq
benn (1) - 1 freq
beit (1) - 13 freq
beet (1) - 18 freq
bents (1) - 10 freq
bett (1) - 4 freq
gent (1) - 10 freq
bent (0) - 104 freq
bint (1) - 10 freq
bunt (1) - 6 freq
sent (2) - 546 freq
belt (2) - 162 freq
bend (2) - 102 freq
bena (2) - 1 freq
dent (2) - 4 freq
rent (2) - 48 freq
kent (2) - 1832 freq
ben (2) - 609 freq
benk (2) - 1 freq
bet (2) - 158 freq
best (2) - 1613 freq
bount (2) - 1 freq
tent (2) - 460 freq
beyont (2) - 7 freq
baint (2) - 1 freq
banty (2) - 5 freq
bantu (2) - 1 freq
yent (2) - 1 freq
bnto (2) - 1 freq
bunty (2) - 12 freq
gent (2) - 10 freq
ent (2) - 3 freq
SoundEx code - B530
boomed - 8 freq
bendie - 2 freq
bendy - 3 freq
bent - 104 freq
bunnet - 113 freq
bandy - 13 freq
bend - 102 freq
bound - 58 freq
beneath - 35 freq
band - 181 freq
bind - 20 freq
bonnie-die - 1 freq
bounty - 10 freq
behind - 261 freq
beamed - 6 freq
bund - 12 freq
beyond - 102 freq
bunnet' - 2 freq
bammed - 1 freq
baund - 21 freq
boond - 9 freq
bummed - 11 freq
bonnet - 34 freq
boannet - 1 freq
bunt - 6 freq
binweed - 1 freq
bond - 17 freq
banned - 35 freq
beyont - 7 freq
boned - 2 freq
behint - 5 freq
bannit - 2 freq
baint - 1 freq
bint - 10 freq
banty - 5 freq
bunty - 12 freq
baundy - 2 freq
bondie - 3 freq
baand - 13 freq
bantie - 3 freq
bundie - 1 freq
bumed - 1 freq
bumt - 1 freq
bouned - 3 freq
boonty - 1 freq
'behind' - 1 freq
bunnit - 1 freq
behiynd - 1 freq
bayonet - 6 freq
bonnieheid - 1 freq
beand - 1 freq
binwuid - 1 freq
'beyond - 1 freq
beande - 1 freq
bennett - 6 freq
behynde - 1 freq
bonnie-ee'd - 1 freq
bount - 1 freq
buoyant - 2 freq
bannid - 1 freq
bend-o - 1 freq
boyndie - 6 freq
bennite - 1 freq
€˜band - 2 freq
bmd - 1 freq
bnto - 1 freq
byamat - 1 freq
bannet - 1 freq
bond” - 1 freq
bantu - 1 freq
bindie - 1 freq
binned - 1 freq
bunnet” - 1 freq
MetaPhone code - BNT
bendie - 2 freq
bendy - 3 freq
bent - 104 freq
bunnet - 113 freq
bandy - 13 freq
bend - 102 freq
bound - 58 freq
band - 181 freq
bind - 20 freq
bonnie-die - 1 freq
bounty - 10 freq
bund - 12 freq
bunnet' - 2 freq
baund - 21 freq
boond - 9 freq
bonnet - 34 freq
boannet - 1 freq
bunt - 6 freq
bond - 17 freq
banned - 35 freq
boned - 2 freq
bannit - 2 freq
baint - 1 freq
bint - 10 freq
banty - 5 freq
bunty - 12 freq
baundy - 2 freq
bondie - 3 freq
baand - 13 freq
bantie - 3 freq
bundie - 1 freq
bouned - 3 freq
boonty - 1 freq
bunnit - 1 freq
beand - 1 freq
beande - 1 freq
bennett - 6 freq
behynde - 1 freq
bonnie-ee'd - 1 freq
bount - 1 freq
bannid - 1 freq
bend-o - 1 freq
boyndie - 6 freq
bennite - 1 freq
€˜band - 2 freq
bnto - 1 freq
bannet - 1 freq
bond” - 1 freq
bantu - 1 freq
bindie - 1 freq
binned - 1 freq
bunnet” - 1 freq
BENT
Time to execute Levenshtein function - 0.200145 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 - 0.342378 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 - 0.027661 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 - 0.037074 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 - 0.000944 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.