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 epple in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
epple (0) - 13 freq
epples (1) - 10 freq
apple (1) - 32 freq
erle (2) - 4 freq
ripple (2) - 7 freq
eggle (2) - 2 freq
exile (2) - 20 freq
people (2) - 568 freq
epl (2) - 9 freq
applee (2) - 1 freq
spile (2) - 11 freq
elphe (2) - 1 freq
semple (2) - 24 freq
empie (2) - 25 freq
nipple (2) - 3 freq
cupple (2) - 2 freq
pile (2) - 110 freq
ebble (2) - 1 freq
apply (2) - 37 freq
pole (2) - 45 freq
ettle (2) - 188 freq
ppe (2) - 3 freq
epely (2) - 1 freq
eppy (2) - 1 freq
eedle (2) - 1 freq
epple (0) - 13 freq
apple (1) - 32 freq
applee (2) - 1 freq
aipple (2) - 102 freq
apply (2) - 37 freq
people (2) - 568 freq
epples (2) - 10 freq
peeple (2) - 3 freq
ppl (2) - 3 freq
ypzle (3) - 1 freq
supple (3) - 6 freq
topple (3) - 1 freq
papple (3) - 1 freq
kipple (3) - 2 freq
ample (3) - 9 freq
pele (3) - 17 freq
sapple (3) - 1 freq
apples (3) - 10 freq
aple (3) - 2 freq
pule (3) - 4 freq
ple (3) - 1 freq
dapple (3) - 2 freq
tipple (3) - 3 freq
aiple (3) - 5 freq
pale (3) - 86 freq
SoundEx code - E140
evil - 89 freq
epple - 13 freq
ebola - 1 freq
eeevilly - 1 freq
eiffel - 2 freq
eivill - 1 freq
evil' - 1 freq
evill - 1 freq
€˜evil - 2 freq
ebble - 1 freq
epl - 9 freq
efl - 2 freq
epely - 1 freq
MetaPhone code - EPL
epple - 13 freq
epl - 9 freq
epely - 1 freq
EPPLE
Time to execute Levenshtein function - 0.183204 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 - 0.363150 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 - 0.028641 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 - 0.041029 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 - 0.000785 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.