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 kermit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
kermit (0) - 2 freq
kerpit (1) - 3 freq
kerrit (1) - 1 freq
hermit (1) - 17 freq
permit (1) - 7 freq
kervit (1) - 9 freq
kelpit (2) - 4 freq
kennit (2) - 1 freq
merit (2) - 17 freq
keit (2) - 1 freq
merkit (2) - 32 freq
feemit (2) - 1 freq
dermot (2) - 1 freq
armit (2) - 4 freq
nemmit (2) - 1 freq
emit (2) - 4 freq
wirmit (2) - 1 freq
lerrit (2) - 2 freq
vermin (2) - 3 freq
termt (2) - 1 freq
sertit (2) - 1 freq
warmit (2) - 2 freq
leemit (2) - 14 freq
semit (2) - 1 freq
kertie (2) - 2 freq
kermit (0) - 2 freq
kerpit (2) - 3 freq
kervit (2) - 9 freq
permit (2) - 7 freq
hermit (2) - 17 freq
kerrit (2) - 1 freq
karmic (3) - 1 freq
kirnit (3) - 1 freq
termt (3) - 1 freq
airmit (3) - 4 freq
wirmit (3) - 1 freq
warmit (3) - 2 freq
formit (3) - 6 freq
dermot (3) - 1 freq
wormit (3) - 7 freq
remit (3) - 11 freq
kertie (3) - 2 freq
kert (3) - 8 freq
armit (3) - 4 freq
herkit (4) - 1 freq
kirst (4) - 6 freq
mairmit (4) - 1 freq
permis (4) - 1 freq
kraut (4) - 1 freq
keikit (4) - 9 freq
SoundEx code - K653
ker-haundit - 1 freq
kirnt - 2 freq
kerrant - 1 freq
kermit - 2 freq
kärnten's - 1 freq
kirnitten - 2 freq
kirnit - 1 freq
kirned - 3 freq
karendunbar - 1 freq
karendallas - 1 freq
kieranwatters - 1 freq
MetaPhone code - KRMT
crammed - 7 freq
crammt - 1 freq
groomed - 3 freq
crimmed - 1 freq
cremate - 1 freq
kermit - 2 freq
curmewd - 1 freq
KERMIT
Time to execute Levenshtein function - 0.217747 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 - 0.415946 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 - 0.034261 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 - 0.043445 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 - 0.000915 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.