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 eppatite in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eppatite (0) - 1 freq
appetite (2) - 19 freq
petite (3) - 1 freq
expatriate (3) - 1 freq
eatit (3) - 1 freq
opposite (3) - 89 freq
oappasite (3) - 1 freq
platie (3) - 2 freq
updatit (3) - 13 freq
appetites (3) - 2 freq
elatit (3) - 1 freq
repeatit (3) - 52 freq
hematite (3) - 1 freq
emptie (3) - 1 freq
empathise (3) - 4 freq
pratie (3) - 1 freq
emptit (3) - 1 freq
praties (4) - 2 freq
endytit (4) - 1 freq
practice (4) - 109 freq
pottit (4) - 3 freq
pepperie (4) - 1 freq
equalise (4) - 4 freq
equation (4) - 5 freq
uppance (4) - 1 freq
eppatite (0) - 1 freq
appetite (2) - 19 freq
repeatit (4) - 52 freq
appetites (4) - 2 freq
emptit (4) - 1 freq
oappasite (4) - 1 freq
updatit (4) - 13 freq
petite (4) - 1 freq
opposite (4) - 89 freq
geppetto (5) - 1 freq
appiteits (5) - 1 freq
appearit (5) - 5 freq
repaitit (5) - 5 freq
plotit (5) - 3 freq
pintit (5) - 14 freq
puttit (5) - 1 freq
pitit (5) - 5 freq
putit (5) - 2 freq
uppity (5) - 6 freq
repetit (5) - 1 freq
ppokit (5) - 1 freq
postit (5) - 13 freq
pratta (5) - 1 freq
partit (5) - 4 freq
pettie (5) - 1 freq
SoundEx code - E133
evitit - 2 freq
evytit - 1 freq
eftitnune - 1 freq
epithet - 2 freq
evaded - 1 freq
eppatite - 1 freq
MetaPhone code - EPTT
eppatite - 1 freq
EPPATITE
Time to execute Levenshtein function - 0.369233 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 - 0.506238 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 - 0.027570 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 - 0.071245 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 - 0.001011 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.