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 bonbons in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bonbons (0) - 3 freq
bunions (2) - 2 freq
bonns (2) - 2 freq
bosons (2) - 1 freq
onions (2) - 17 freq
bonjoor (3) - 2 freq
bonkers (3) - 5 freq
foons (3) - 7 freq
motions (3) - 17 freq
onion (3) - 14 freq
fonns (3) - 1 freq
cannons (3) - 7 freq
poons (3) - 1 freq
boab's (3) - 3 freq
lountons (3) - 1 freq
bob's (3) - 4 freq
bools (3) - 23 freq
minions (3) - 5 freq
coyboys (3) - 1 freq
lonns (3) - 1 freq
boness (3) - 3 freq
bobs (3) - 9 freq
bobbies (3) - 33 freq
cabons (3) - 1 freq
bobbles (3) - 1 freq
bonbons (0) - 3 freq
bonns (3) - 2 freq
bunions (3) - 2 freq
bankins (4) - 2 freq
bindins (4) - 1 freq
bannos (4) - 1 freq
binns (4) - 2 freq
banns (4) - 3 freq
onions (4) - 17 freq
bosons (4) - 1 freq
bones (5) - 61 freq
boppins (5) - 1 freq
bonnets (5) - 5 freq
ribbons (5) - 33 freq
batons (5) - 1 freq
buttons (5) - 57 freq
bombin (5) - 4 freq
bobbin (5) - 22 freq
boomins (5) - 1 freq
gobbins (5) - 3 freq
notions (5) - 40 freq
bonkin (5) - 1 freq
boonds (5) - 7 freq
robins (5) - 1 freq
bingos (5) - 1 freq
SoundEx code - B515
bumpin - 9 freq
bombin - 4 freq
boom-boom-boomin - 1 freq
bombing - 2 freq
bampin - 1 freq
bonbons - 3 freq
boom-boom-boom - 1 freq
beeinmabonnet - 1 freq
bumping - 1 freq
MetaPhone code - BNBNS
bonbons - 3 freq
BONBONS
Time to execute Levenshtein function - 0.241273 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 - 0.586960 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 - 0.055543 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 - 0.078133 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 - 0.001291 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.