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 baund in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
baund (0) - 21 freq
band (1) - 181 freq
baunds (1) - 5 freq
baunk (1) - 30 freq
haund (1) - 384 freq
baand (1) - 13 freq
baundy (1) - 2 freq
aund (1) - 2 freq
baun (1) - 18 freq
bound (1) - 58 freq
saund (1) - 31 freq
bund (1) - 12 freq
blund (1) - 1 freq
baud (1) - 12 freq
bauld (1) - 38 freq
bauns (1) - 4 freq
laund (1) - 89 freq
caun (2) - 5 freq
brynd (2) - 2 freq
bannid (2) - 1 freq
fauns (2) - 1 freq
taunds (2) - 1 freq
round (2) - 122 freq
rahnd (2) - 1 freq
bounds (2) - 11 freq
baund (0) - 21 freq
baand (1) - 13 freq
baundy (1) - 2 freq
bound (1) - 58 freq
bund (1) - 12 freq
band (1) - 181 freq
bandy (2) - 13 freq
bond (2) - 17 freq
laund (2) - 89 freq
boond (2) - 9 freq
beand (2) - 1 freq
abound (2) - 2 freq
bend (2) - 102 freq
bind (2) - 20 freq
bouned (2) - 3 freq
bauns (2) - 4 freq
aund (2) - 2 freq
bauld (2) - 38 freq
haund (2) - 384 freq
baunk (2) - 30 freq
baunds (2) - 5 freq
saund (2) - 31 freq
baun (2) - 18 freq
blund (2) - 1 freq
baud (2) - 12 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
BAUND
Time to execute Levenshtein function - 0.201022 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 - 0.344381 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 - 0.027330 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 - 0.038646 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 - 0.000893 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.