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 epples in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
epples (0) - 10 freq
epple (1) - 13 freq
apples (1) - 10 freq
epodes (2) - 1 freq
poles (2) - 29 freq
eccles (2) - 1 freq
applees (2) - 3 freq
spiles (2) - 1 freq
naples (2) - 1 freq
ripples (2) - 8 freq
exiles (2) - 4 freq
pales (2) - 2 freq
maples (2) - 1 freq
ettles (2) - 79 freq
peoples (2) - 11 freq
sapples (2) - 2 freq
piles (2) - 26 freq
applies (2) - 17 freq
erles (2) - 1 freq
easles (2) - 2 freq
cupples (2) - 1 freq
applee (2) - 1 freq
apple (2) - 32 freq
nipples (2) - 7 freq
eagles (2) - 11 freq
epples (0) - 10 freq
apples (1) - 10 freq
applies (2) - 17 freq
peoples (2) - 11 freq
applees (2) - 3 freq
epple (2) - 13 freq
aipples (2) - 91 freq
piles (3) - 26 freq
sapples (3) - 2 freq
applee (3) - 1 freq
apple (3) - 32 freq
nipples (3) - 7 freq
cupples (3) - 1 freq
aiples (3) - 4 freq
naples (3) - 1 freq
spiles (3) - 1 freq
ripples (3) - 8 freq
poles (3) - 29 freq
pales (3) - 2 freq
maples (3) - 1 freq
peebles (4) - 8 freq
aipple (4) - 102 freq
pulls (4) - 58 freq
appeals (4) - 4 freq
purples (4) - 1 freq
SoundEx code - E142
evils - 4 freq
epples - 10 freq
eyeballs - 4 freq
eeva-liisa - 1 freq
epilogue - 2 freq
effulgent - 1 freq
MetaPhone code - EPLS
epples - 10 freq
EPPLES
Time to execute Levenshtein function - 0.176811 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 - 0.401864 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 - 0.030024 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 - 0.042416 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 - 0.001003 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.