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 yarns in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yarns (0) - 27 freq
yaarns (1) - 1 freq
larns (1) - 1 freq
darns (1) - 1 freq
yarn (1) - 49 freq
yawns (1) - 1 freq
warns (1) - 2 freq
yards (1) - 24 freq
harns (1) - 52 freq
yearns (1) - 1 freq
barns (1) - 8 freq
earns (1) - 3 freq
yairns (1) - 14 freq
yerns (1) - 1 freq
farns (1) - 2 freq
tarns (1) - 1 freq
yalls (2) - 2 freq
ear's (2) - 1 freq
gans (2) - 51 freq
wares (2) - 6 freq
carna (2) - 1 freq
rains (2) - 27 freq
bars (2) - 86 freq
arks (2) - 1 freq
yrs (2) - 16 freq
yarns (0) - 27 freq
yearns (1) - 1 freq
earns (1) - 3 freq
yairns (1) - 14 freq
yaarns (1) - 1 freq
yerns (1) - 1 freq
rains (2) - 27 freq
urns (2) - 2 freq
raans (2) - 2 freq
arins (2) - 1 freq
raens (2) - 2 freq
rans (2) - 1 freq
tarns (2) - 1 freq
rns (2) - 5 freq
erns (2) - 1 freq
harns (2) - 52 freq
yawns (2) - 1 freq
darns (2) - 1 freq
yards (2) - 24 freq
warns (2) - 2 freq
farns (2) - 2 freq
barns (2) - 8 freq
larns (2) - 1 freq
yarn (2) - 49 freq
burns (3) - 359 freq
SoundEx code - Y652
yerns - 1 freq
yairns - 14 freq
yarns - 27 freq
yearns - 1 freq
'yooriniss' - 2 freq
'your-anus' - 2 freq
yaarns - 1 freq
MetaPhone code - YRNS
yerns - 1 freq
yairns - 14 freq
yarns - 27 freq
yearns - 1 freq
'yooriniss' - 2 freq
'your-anus' - 2 freq
yaarns - 1 freq
YARNS
Time to execute Levenshtein function - 0.222535 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 - 0.346906 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 - 0.029321 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 - 0.037373 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 - 0.000820 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.