A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to buffert in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
buffert (0) - 4 freq
bluffert (1) - 1 freq
suffert (1) - 9 freq
buffer (1) - 2 freq
buffers (1) - 1 freq
buffett (1) - 1 freq
buffet (1) - 11 freq
pluffert (2) - 2 freq
puffer (2) - 1 freq
offert (2) - 38 freq
buttert (2) - 7 freq
bufft (2) - 1 freq
niffert (2) - 1 freq
puffers (2) - 1 freq
blaffert (2) - 1 freq
suffer (2) - 57 freq
suffers (2) - 7 freq
effert (2) - 1 freq
bullert (2) - 2 freq
bufferin (2) - 1 freq
duffer (2) - 6 freq
buggert (2) - 3 freq
baffelt (2) - 1 freq
sufferit (2) - 1 freq
muffet (2) - 5 freq
buffert (0) - 4 freq
buffet (2) - 11 freq
buffers (2) - 1 freq
buffett (2) - 1 freq
buffer (2) - 2 freq
suffert (2) - 9 freq
bluffert (2) - 1 freq
blaffert (3) - 1 freq
effert (3) - 1 freq
baffelt (3) - 1 freq
niffert (3) - 1 freq
bufferin (3) - 1 freq
bufft (3) - 1 freq
sufferit (3) - 1 freq
offert (3) - 38 freq
tuffet (4) - 2 freq
muffet (4) - 5 freq
effart (4) - 1 freq
oaffirt (4) - 2 freq
buffed (4) - 1 freq
boufft (4) - 1 freq
effort (4) - 99 freq
effirt (4) - 3 freq
offerit (4) - 1 freq
puffers (4) - 1 freq
SoundEx code - B163
beveridge - 3 freq
beaufort's - 2 freq
buffert - 4 freq
by-product - 2 freq
byproduct - 1 freq
bevridge - 1 freq
beveridgegraham - 3 freq
beforewedie - 1 freq
MetaPhone code - BFRT
buffert - 4 freq
BUFFERT
Time to execute Levenshtein function - 0.225231 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 - 0.412866 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 - 0.027724 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 - 0.040386 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 - 0.000860 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.