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 benny in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
benny (0) - 2 freq
denny (1) - 2 freq
benjy (1) - 8 freq
henny (1) - 10 freq
penny (1) - 130 freq
bonny (1) - 496 freq
genny (1) - 1 freq
renny (1) - 1 freq
benn (1) - 1 freq
bunny (1) - 4 freq
jenny (1) - 175 freq
kenny (1) - 46 freq
lenny (1) - 9 freq
bendy (1) - 3 freq
teeny (2) - 13 freq
banty (2) - 5 freq
beinn (2) - 2 freq
beins (2) - 14 freq
tenty (2) - 6 freq
bean' (2) - 1 freq
nanny (2) - 7 freq
engy (2) - 2 freq
bends (2) - 12 freq
boney (2) - 9 freq
been' (2) - 1 freq
benny (0) - 2 freq
benn (1) - 1 freq
bunny (1) - 4 freq
bonny (1) - 496 freq
binna (2) - 29 freq
boanny (2) - 4 freq
beinn (2) - 2 freq
bonn (2) - 2 freq
bunn (2) - 1 freq
binne (2) - 1 freq
bunno (2) - 1 freq
bendy (2) - 3 freq
bann (2) - 9 freq
lenny (2) - 9 freq
penny (2) - 130 freq
henny (2) - 10 freq
benjy (2) - 8 freq
denny (2) - 2 freq
benon (2) - 1 freq
genny (2) - 1 freq
kenny (2) - 46 freq
jenny (2) - 175 freq
renny (2) - 1 freq
bienly (3) - 7 freq
bent (3) - 104 freq
SoundEx code - B500
bein - 1744 freq
been - 5087 freq
bonnie - 805 freq
behin - 41 freq
bin - 954 freq
ben - 605 freq
be-in - 29 freq
baun - 18 freq
bonny - 496 freq
bowin - 8 freq
bone - 45 freq
boon - 7 freq
beeame - 1 freq
bane - 81 freq
binna - 29 freq
bien - 19 freq
bony - 6 freq
beam - 18 freq
bammy - 2 freq
'bonnie - 2 freq
bunn - 1 freq
beena - 1 freq
bum - 43 freq
bouin - 5 freq
'bam - 1 freq
'bin - 1 freq
bein' - 59 freq
boney - 9 freq
buin - 12 freq
booin - 17 freq
baain - 2 freq
bmw - 4 freq
buyin - 84 freq
bine - 11 freq
bainie - 1 freq
bun - 59 freq
banie - 1 freq
bain - 77 freq
ban - 48 freq
bayan - 4 freq
baney - 12 freq
bany - 1 freq
bean - 41 freq
buyin' - 5 freq
baim - 1 freq
beem - 5 freq
beein - 14 freq
buyen - 1 freq
boom - 30 freq
bohun - 2 freq
bam - 38 freq
beanie - 1 freq
bim - 2 freq
bunny - 4 freq
bono - 3 freq
'bein - 2 freq
bonie - 13 freq
binnae - 3 freq
ban' - 26 freq
boney' - 1 freq
'bonny' - 1 freq
baein - 20 freq
baehin - 11 freq
bon - 13 freq
bee-en - 2 freq
behun - 1 freq
been' - 1 freq
bonme - 1 freq
behin' - 2 freq
bann - 9 freq
baen - 8 freq
bo'm - 1 freq
be'n - 2 freq
bayin - 2 freq
baimie - 1 freq
boannie - 59 freq
boy-an - 1 freq
'bonnie' - 2 freq
bön - 23 freq
bom - 3 freq
buyan - 3 freq
'ben' - 1 freq
bum' - 1 freq
benny - 2 freq
bene - 106 freq
be'in - 3 freq
boanny - 4 freq
buena - 1 freq
bame - 2 freq
beano - 5 freq
boun' - 1 freq
bn - 7 freq
bohemia - 2 freq
byn - 2 freq
boun - 10 freq
boanie - 2 freq
boany - 1 freq
bena - 1 freq
baum - 2 freq
beyon - 1 freq
be-an - 17 freq
'bonny - 2 freq
bowan - 1 freq
bane- - 1 freq
beenie - 5 freq
bøn - 18 freq
beinn - 2 freq
beween - 1 freq
byne - 1 freq
€˜binna - 1 freq
bowen - 1 freq
beame - 1 freq
€œbeen - 1 freq
beean - 1 freq
€˜bene - 1 freq
boonie - 2 freq
€˜bonnie - 2 freq
€œbonnie - 1 freq
bean' - 1 freq
binne - 1 freq
beannie - 26 freq
bannie - 1 freq
boyne - 4 freq
€œbein - 2 freq
buon - 1 freq
bai-yun - 8 freq
beina - 1 freq
baiyun - 1 freq
'boon - 1 freq
benn - 1 freq
bhain - 24 freq
bem - 1 freq
beeän - 1 freq
bÂ’in - 3 freq
bm - 5 freq
bpn - 1 freq
bone' - 1 freq
bonn - 2 freq
bmi - 1 freq
beinÂ’ - 2 freq
beenawa - 1 freq
bfn - 1 freq
bÂœn - 1 freq
“bun - 1 freq
bnw - 1 freq
bunno - 1 freq
MetaPhone code - BN
bein - 1744 freq
been - 5087 freq
bonnie - 805 freq
bin - 954 freq
ben - 605 freq
be-in - 29 freq
baun - 18 freq
bonny - 496 freq
bone - 45 freq
boon - 7 freq
bane - 81 freq
binna - 29 freq
bien - 19 freq
bony - 6 freq
'bonnie - 2 freq
bunn - 1 freq
beena - 1 freq
bouin - 5 freq
'bin - 1 freq
bein' - 59 freq
boney - 9 freq
buin - 12 freq
booin - 17 freq
baain - 2 freq
bine - 11 freq
bainie - 1 freq
bun - 59 freq
banie - 1 freq
bain - 77 freq
ban - 48 freq
baney - 12 freq
bany - 1 freq
bean - 41 freq
beein - 14 freq
beanie - 1 freq
bunny - 4 freq
bono - 3 freq
'bein - 2 freq
bonie - 13 freq
binnae - 3 freq
ban' - 26 freq
boney' - 1 freq
'bonny' - 1 freq
baein - 20 freq
bon - 13 freq
bee-en - 2 freq
been' - 1 freq
bann - 9 freq
baen - 8 freq
be'n - 2 freq
boannie - 59 freq
boy-an - 1 freq
'bonnie' - 2 freq
bön - 23 freq
'ben' - 1 freq
benny - 2 freq
bene - 106 freq
be'in - 3 freq
boanny - 4 freq
buena - 1 freq
beano - 5 freq
boun' - 1 freq
bn - 7 freq
byn - 2 freq
boun - 10 freq
boanie - 2 freq
boany - 1 freq
bena - 1 freq
be-an - 17 freq
'bonny - 2 freq
bane- - 1 freq
beenie - 5 freq
bøn - 18 freq
beinn - 2 freq
hüben - 1 freq
byne - 1 freq
€˜binna - 1 freq
€œbeen - 1 freq
beean - 1 freq
€˜bene - 1 freq
boonie - 2 freq
€˜bonnie - 2 freq
€œbonnie - 1 freq
bean' - 1 freq
binne - 1 freq
beannie - 26 freq
bannie - 1 freq
boyne - 4 freq
€œbein - 2 freq
buon - 1 freq
beina - 1 freq
'boon - 1 freq
benn - 1 freq
beeän - 1 freq
bÂ’in - 3 freq
bone' - 1 freq
bonn - 2 freq
beinÂ’ - 2 freq
bÂœn - 1 freq
“bun - 1 freq
bnw - 1 freq
bunno - 1 freq
BENNY
Time to execute Levenshtein function - 0.389714 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 - 0.569191 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 - 0.027747 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 - 0.086856 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 - 0.000784 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.