A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to bind in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bind (0) - 20 freq
bint (1) - 10 freq
bund (1) - 12 freq
bird (1) - 190 freq
band (1) - 159 freq
bond (1) - 16 freq
bink (1) - 26 freq
eind (1) - 1 freq
bins (1) - 32 freq
bend (1) - 102 freq
binds (1) - 6 freq
blind (1) - 41 freq
bid (1) - 76 freq
find (1) - 773 freq
bine (1) - 11 freq
sind (1) - 1 freq
gind (1) - 1 freq
hind (1) - 14 freq
bing (1) - 38 freq
cind (1) - 2 freq
mind (1) - 2299 freq
kind (1) - 686 freq
wind (1) - 469 freq
bin (1) - 954 freq
aind (1) - 1 freq
bind (0) - 20 freq
bond (1) - 16 freq
band (1) - 159 freq
bend (1) - 102 freq
bund (1) - 12 freq
aind (2) - 1 freq
baand (2) - 13 freq
bin (2) - 954 freq
kind (2) - 686 freq
mind (2) - 2299 freq
bindie (2) - 1 freq
wind (2) - 469 freq
boned (2) - 2 freq
boond (2) - 9 freq
bound (2) - 57 freq
bendy (2) - 3 freq
cind (2) - 2 freq
baund (2) - 21 freq
beand (2) - 1 freq
bandy (2) - 13 freq
bint (2) - 10 freq
bid (2) - 76 freq
bird (2) - 190 freq
bins (2) - 32 freq
binds (2) - 6 freq
SoundEx code - B530
boomed - 8 freq
bendie - 2 freq
bendy - 3 freq
bent - 104 freq
bunnet - 111 freq
bandy - 13 freq
bend - 102 freq
bound - 57 freq
beneath - 33 freq
band - 159 freq
bind - 20 freq
bonnie-die - 1 freq
bounty - 10 freq
behind - 246 freq
beamed - 6 freq
bund - 12 freq
beyond - 99 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
beyont - 7 freq
boned - 2 freq
banned - 34 freq
bond - 16 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 - 111 freq
bandy - 13 freq
bend - 102 freq
bound - 57 freq
band - 159 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
boned - 2 freq
banned - 34 freq
bond - 16 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
BIND
Time to execute Levenshtein function - 0.192770 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 - 0.373198 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 - 0.028023 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 - 0.038287 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 - 0.000844 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.