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 ermans in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ermans (0) - 1 freq
germans (1) - 32 freq
crans (2) - 1 freq
errand (2) - 5 freq
organs (2) - 12 freq
ernan's (2) - 1 freq
trans (2) - 5 freq
eans (2) - 10 freq
herman (2) - 1 freq
ermine (2) - 7 freq
emma's (2) - 1 freq
errands (2) - 11 freq
eras (2) - 2 freq
ferman (2) - 1 freq
womans (2) - 5 freq
erms (2) - 48 freq
germany (2) - 36 freq
ehman (2) - 1 freq
servans (2) - 4 freq
brians (2) - 1 freq
germane (2) - 1 freq
sermons (2) - 9 freq
lemans (2) - 1 freq
wrans (2) - 1 freq
wumans (2) - 1 freq
ermans (0) - 1 freq
romans (2) - 44 freq
germans (2) - 32 freq
eerrans (3) - 1 freq
errins (3) - 1 freq
rans (3) - 1 freq
mans (3) - 21 freq
lemans (3) - 1 freq
wumans (3) - 1 freq
eerans (3) - 1 freq
humans (3) - 55 freq
armand (3) - 1 freq
roumans (3) - 2 freq
remains (3) - 61 freq
normans (3) - 3 freq
demans (3) - 1 freq
sermons (3) - 9 freq
armani (3) - 1 freq
raans (3) - 2 freq
erns (3) - 1 freq
ermine (3) - 7 freq
womans (3) - 5 freq
erms (3) - 48 freq
organs (3) - 12 freq
examins (4) - 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 - ERMNS
ermans - 1 freq
ERMANS
Time to execute Levenshtein function - 0.215018 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 - 0.351230 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 - 0.027479 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 - 0.037305 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 - 0.000888 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.