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 buffers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
buffers (0) - 1 freq
buffert (1) - 4 freq
buffer (1) - 2 freq
suffers (1) - 7 freq
puffers (1) - 1 freq
burners (2) - 7 freq
ruifers (2) - 1 freq
bulders (2) - 1 freq
buyers (2) - 6 freq
suffert (2) - 9 freq
offers (2) - 67 freq
bummers (2) - 18 freq
buskers (2) - 2 freq
burgers (2) - 11 freq
buggers (2) - 31 freq
bluffert (2) - 1 freq
duffer (2) - 6 freq
buffs (2) - 4 freq
bunkers (2) - 12 freq
coffers (2) - 2 freq
peffers (2) - 2 freq
budders (2) - 2 freq
puffer (2) - 1 freq
buffett (2) - 1 freq
differs (2) - 39 freq
buffers (0) - 1 freq
suffers (2) - 7 freq
puffers (2) - 1 freq
buffer (2) - 2 freq
buffert (2) - 4 freq
differs (3) - 39 freq
peffers (3) - 2 freq
coffers (3) - 2 freq
bufferin (3) - 1 freq
heffers (3) - 1 freq
buffs (3) - 4 freq
gaffers (3) - 2 freq
oaffers (3) - 1 freq
niffers (3) - 1 freq
offers (3) - 67 freq
ruifers (4) - 1 freq
burners (4) - 7 freq
dufners (4) - 1 freq
busters (4) - 1 freq
effeirs (4) - 13 freq
deiffers (4) - 2 freq
buggers (4) - 31 freq
baffie's (4) - 5 freq
coffars (4) - 1 freq
fifers (4) - 8 freq
SoundEx code - B162
bifrost - 2 freq
beverages - 1 freq
beverage - 3 freq
bifröst - 1 freq
buffers - 1 freq
behaviours - 2 freq
beavers - 2 freq
MetaPhone code - BFRS
buffers - 1 freq
beavers - 2 freq
BUFFERS
Time to execute Levenshtein function - 0.186342 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 - 0.349745 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 - 0.027657 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 - 0.037120 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 - 0.000924 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.