A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to nurses in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nurses (0) - 35 freq
purses (1) - 1 freq
nurse (1) - 163 freq
curses (1) - 8 freq
nurse's (1) - 10 freq
nursed (1) - 5 freq
noses (2) - 20 freq
hursel (2) - 14 freq
nursit (2) - 1 freq
nurst (2) - 2 freq
buises (2) - 1 freq
nuris (2) - 1 freq
cures (2) - 4 freq
burss (2) - 1 freq
dures (2) - 3 freq
cursen (2) - 1 freq
gurges (2) - 1 freq
norskes (2) - 1 freq
guises (2) - 1 freq
ursel (2) - 2 freq
buses (2) - 45 freq
oursel (2) - 1 freq
purse (2) - 37 freq
busses (2) - 18 freq
erses (2) - 23 freq
nurses (0) - 35 freq
nursed (2) - 5 freq
curses (2) - 8 freq
nurse's (2) - 10 freq
purses (2) - 1 freq
nurse (2) - 163 freq
ruses (3) - 1 freq
horses (3) - 113 freq
airses (3) - 3 freq
verses (3) - 58 freq
erses (3) - 23 freq
nursery (3) - 29 freq
urss (3) - 1 freq
nirse (3) - 1 freq
ruises (3) - 1 freq
noises (3) - 32 freq
nursan (3) - 3 freq
nories (3) - 25 freq
nursin (3) - 29 freq
courses (3) - 13 freq
nerves (3) - 43 freq
corses (3) - 1 freq
arses (3) - 6 freq
nursie (3) - 4 freq
norskes (3) - 1 freq
SoundEx code - N622
narcissus - 4 freq
nurses - 35 freq
narcissistic - 2 freq
nurse's - 10 freq
norskies - 1 freq
norskes - 1 freq
nyaragusu - 1 freq
nnmrgais - 1 freq
narcissists - 1 freq
MetaPhone code - NRSS
nurses - 35 freq
nurse's - 10 freq
NURSES
Time to execute Levenshtein function - 0.234758 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 - 0.380692 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 - 0.029872 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 - 0.039363 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 - 0.000886 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.