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 ermine in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ermine (0) - 7 freq
ervine (1) - 1 freq
ermie (1) - 1 freq
erline (1) - 1 freq
o'mine (2) - 4 freq
errins (2) - 1 freq
eamin (2) - 1 freq
vermin (2) - 3 freq
errin (2) - 1 freq
remine (2) - 2 freq
fermin (2) - 32 freq
termint (2) - 2 freq
erling (2) - 1 freq
erying (2) - 1 freq
reine (2) - 2 freq
erin (2) - 9 freq
domine (2) - 2 freq
erwin (2) - 1 freq
engine (2) - 50 freq
examine (2) - 13 freq
ertie (2) - 12 freq
ermans (2) - 1 freq
eine (2) - 1 freq
famine (2) - 15 freq
trine (2) - 2 freq
ermine (0) - 7 freq
remine (2) - 2 freq
erline (2) - 1 freq
ermie (2) - 1 freq
ervine (2) - 1 freq
remin (3) - 1 freq
erne (3) - 4 freq
raine (3) - 1 freq
rhine (3) - 2 freq
famine (3) - 15 freq
rine (3) - 1 freq
eomin (3) - 1 freq
urine (3) - 2 freq
eryin (3) - 3 freq
reamin (3) - 6 freq
reimin (3) - 1 freq
hermin (3) - 2 freq
ernie (3) - 50 freq
irvine (3) - 21 freq
ermans (3) - 1 freq
germane (3) - 1 freq
mine (3) - 660 freq
reine (3) - 2 freq
erin (3) - 9 freq
vermin (3) - 3 freq
SoundEx code - E655
erm-in-erm - 1 freq
ermine - 7 freq
erinnin - 1 freq
earnin - 8 freq
ernan's - 1 freq
ermans - 1 freq
earnins - 4 freq
ern'in' - 1 freq
ermintrude - 1 freq
erymanthian - 3 freq
MetaPhone code - ERMN
ermine - 7 freq
ERMINE
Time to execute Levenshtein function - 0.595729 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 - 1.214992 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 - 0.087850 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 - 0.123497 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 - 0.058111 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.