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 exoner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
exoner (0) - 1 freq
exonered (2) - 1 freq
exponed (2) - 4 freq
toner (2) - 1 freq
goner (2) - 4 freq
exminer (2) - 1 freq
ebner (2) - 5 freq
fooner (2) - 4 freq
loner (2) - 1 freq
thoner (2) - 2 freq
sooner (2) - 29 freq
shoner (2) - 1 freq
einer (2) - 1 freq
exne (2) - 1 freq
ooner (2) - 2 freq
earner (2) - 2 freq
expone (2) - 2 freq
exeter (2) - 4 freq
doner (2) - 2 freq
dooner (2) - 2 freq
tanner (3) - 10 freq
planer (3) - 1 freq
boney (3) - 9 freq
maner (3) - 4 freq
done' (3) - 1 freq
exoner (0) - 1 freq
exne (3) - 1 freq
einer (3) - 1 freq
sooner (3) - 29 freq
ooner (3) - 2 freq
earner (3) - 2 freq
doner (3) - 2 freq
exeter (3) - 4 freq
exonered (3) - 1 freq
dooner (3) - 2 freq
goner (3) - 4 freq
toner (3) - 1 freq
loner (3) - 1 freq
exminer (3) - 1 freq
ebner (3) - 5 freq
fooner (3) - 4 freq
jyner (4) - 30 freq
gener (4) - 1 freq
liner (4) - 4 freq
meiner (4) - 2 freq
keener (4) - 6 freq
joyner (4) - 1 freq
wiener (4) - 2 freq
lner (4) - 1 freq
finer (4) - 14 freq
SoundEx code - E256
exoner - 1 freq
eegnorant - 1 freq
egg-merchant - 1 freq
ex-senior - 1 freq
eco-anarchists - 1 freq
exoneratit - 1 freq
exonered - 1 freq
ecomarxism - 1 freq
MetaPhone code - EKSNR
exoner - 1 freq
EXONER
Time to execute Levenshtein function - 0.202443 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 - 0.351397 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 - 0.027342 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 - 0.040619 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 - 0.001187 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.