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 yarns in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yarns (0) - 28 freq
tarns (1) - 1 freq
harns (1) - 52 freq
yairns (1) - 14 freq
larns (1) - 1 freq
yarn (1) - 49 freq
farns (1) - 2 freq
yearns (1) - 1 freq
yards (1) - 24 freq
barns (1) - 8 freq
yaarns (1) - 1 freq
earns (1) - 3 freq
yerns (1) - 1 freq
darns (1) - 1 freq
warns (1) - 2 freq
yawns (1) - 1 freq
marts (2) - 4 freq
barn's (2) - 1 freq
mearns (2) - 6 freq
yare (2) - 1 freq
harks (2) - 1 freq
scarns (2) - 1 freq
faras (2) - 1 freq
gans (2) - 51 freq
ycars (2) - 1 freq
yarns (0) - 28 freq
earns (1) - 3 freq
yerns (1) - 1 freq
yaarns (1) - 1 freq
yearns (1) - 1 freq
yairns (1) - 14 freq
raans (2) - 2 freq
erns (2) - 1 freq
urns (2) - 2 freq
rns (2) - 5 freq
tarns (2) - 1 freq
arins (2) - 1 freq
rans (2) - 1 freq
raens (2) - 2 freq
rains (2) - 27 freq
yawns (2) - 1 freq
yards (2) - 24 freq
farns (2) - 2 freq
yarn (2) - 49 freq
larns (2) - 1 freq
harns (2) - 52 freq
barns (2) - 8 freq
warns (2) - 2 freq
darns (2) - 1 freq
yairds (3) - 51 freq
SoundEx code - Y652
yerns - 1 freq
yairns - 14 freq
yarns - 28 freq
yearns - 1 freq
'yooriniss' - 2 freq
'your-anus' - 2 freq
yaarns - 1 freq
MetaPhone code - YRNS
yerns - 1 freq
yairns - 14 freq
yarns - 28 freq
yearns - 1 freq
'yooriniss' - 2 freq
'your-anus' - 2 freq
yaarns - 1 freq
YARNS
Time to execute Levenshtein function - 0.187265 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 - 0.325749 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 - 0.027475 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 - 0.037352 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 - 0.000951 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.