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 bowster in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bowster (0) - 12 freq
gowster (1) - 2 freq
bowsters (1) - 2 freq
browster (1) - 1 freq
booster (1) - 3 freq
blowster (1) - 1 freq
bowser (1) - 4 freq
bouster (1) - 1 freq
bowsier (1) - 1 freq
bolster (1) - 4 freq
bowder (2) - 1 freq
browser (2) - 4 freq
bosker (2) - 6 freq
bower (2) - 10 freq
gowsters (2) - 1 freq
rowsted (2) - 6 freq
dowser (2) - 1 freq
bluster (2) - 8 freq
toaster (2) - 6 freq
moister (2) - 7 freq
poster (2) - 24 freq
posster (2) - 1 freq
monster (2) - 52 freq
buster (2) - 2 freq
roaster (2) - 17 freq
bowster (0) - 12 freq
bouster (2) - 1 freq
bowsier (2) - 1 freq
bolster (2) - 4 freq
blowster (2) - 1 freq
bowser (2) - 4 freq
gowster (2) - 2 freq
browster (2) - 1 freq
bowsters (2) - 2 freq
booster (2) - 3 freq
buster (3) - 2 freq
bluster (3) - 8 freq
brewster (3) - 3 freq
blister (3) - 3 freq
blaster (3) - 3 freq
gowsteri (3) - 1 freq
blooster (3) - 1 freq
wooster (3) - 1 freq
blouster (3) - 5 freq
towser (4) - 6 freq
blowstet (4) - 1 freq
oxster (4) - 4 freq
rooster (4) - 18 freq
lobster (4) - 23 freq
coster (4) - 1 freq
SoundEx code - B236
besturt - 1 freq
bastarn - 16 freq
bastart - 67 freq
bastard - 102 freq
basturt - 17 freq
backdrop - 3 freq
bastardin - 3 freq
basturts - 4 freq
bastert - 9 freq
bastards - 33 freq
'bastard - 1 freq
bastard' - 1 freq
bastart's - 3 freq
'bastart - 1 freq
bowster - 12 freq
baxter - 16 freq
booster - 3 freq
back-treckit - 1 freq
bastarts - 24 freq
boisterous - 3 freq
backstroke - 2 freq
bigotry - 9 freq
backstreets - 1 freq
bastard's - 1 freq
bestirs - 2 freq
bus-drivers - 2 freq
basturds - 1 freq
basturd - 2 freq
bacteria - 4 freq
backdoor - 2 freq
boys-a-dear - 1 freq
bestrides - 1 freq
'bastart' - 1 freq
'backstairs - 1 freq
buster - 2 freq
back-door - 2 freq
beukstores - 2 freq
bestrewed - 1 freq
baxters - 4 freq
baxter's - 6 freq
back-stair - 1 freq
backthrawn - 1 freq
box-trap - 2 freq
bistro - 1 freq
bowsters - 2 freq
bowsterous - 2 freq
bastirt - 1 freq
bastirts - 1 freq
backwater - 1 freq
bousterous - 1 freq
bouster - 1 freq
backdoors - 1 freq
busters - 1 freq
bestiary - 1 freq
bacterium - 1 freq
backstreet - 1 freq
€˜bastardised - 1 freq
biscuit-ersed - 1 freq
€˜bastart - 1 freq
backdrap - 1 freq
back-sitter - 1 freq
backdraps - 2 freq
€œbastart - 1 freq
bastardisation - 1 freq
bastern - 2 freq
back-draw - 1 freq
backtracked - 1 freq
bowsterously - 1 freq
bixter - 1 freq
backwatter - 1 freq
bbcthearchers - 1 freq
boysadear - 1 freq
bocktherobber - 1 freq
bastardization - 1 freq
bbcweather - 3 freq
bbcwthrwatchers - 1 freq
backdoorboris - 1 freq
bastard” - 1 freq
bacteriologist - 1 freq
bbctravelscot - 1 freq
bigder - 7 freq
MetaPhone code - BSTR
bowster - 12 freq
booster - 3 freq
boys-a-dear - 1 freq
buster - 2 freq
bistro - 1 freq
bouster - 1 freq
boysadear - 1 freq
BOWSTER
Time to execute Levenshtein function - 0.429441 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 - 0.793184 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 - 0.077244 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 - 0.046773 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 - 0.000925 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.