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 yawnin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yawnin (0) - 12 freq
mawnin (1) - 5 freq
yarnin (1) - 18 freq
yanin (1) - 1 freq
awnin (1) - 20 freq
yawning (1) - 1 freq
dawnin (1) - 7 freq
yawnan (1) - 2 freq
yawin (1) - 1 freq
fannin (2) - 9 freq
yaavin (2) - 3 freq
yazin (2) - 3 freq
tannin (2) - 8 freq
pawtin (2) - 1 freq
pawin (2) - 3 freq
haanin (2) - 1 freq
mawin (2) - 2 freq
yatlin (2) - 1 freq
damnin (2) - 2 freq
yasin (2) - 15 freq
yawlie (2) - 2 freq
aanin (2) - 2 freq
warnin (2) - 92 freq
yappin (2) - 8 freq
hawdin (2) - 8 freq
yawnin (0) - 12 freq
awnin (1) - 20 freq
yawnan (1) - 2 freq
yanin (2) - 1 freq
ownin (2) - 22 freq
wanin (2) - 2 freq
mawnin (2) - 5 freq
yawin (2) - 1 freq
dawnin (2) - 7 freq
yawning (2) - 1 freq
yarnin (2) - 18 freq
yawn (3) - 12 freq
sainin (3) - 4 freq
launin (3) - 1 freq
ainin (3) - 1 freq
gaanin (3) - 3 freq
ranin (3) - 1 freq
yowlin (3) - 16 freq
haunin (3) - 7 freq
downin (3) - 4 freq
earnin (3) - 7 freq
yawned (3) - 15 freq
awnit (3) - 2 freq
yowtin (3) - 2 freq
awin (3) - 5 freq
SoundEx code - Y550
yawnin - 12 freq
yinyin - 1 freq
yemen - 2 freq
yoamin - 6 freq
yin-man - 2 freq
yawnan - 2 freq
yeman - 1 freq
yeomen - 1 freq
yanin - 1 freq
MetaPhone code - YNN
yawnin - 12 freq
yawnan - 2 freq
yanin - 1 freq
YAWNIN
Time to execute Levenshtein function - 0.173835 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 - 0.347654 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 - 0.032351 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 - 0.036310 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 - 0.000811 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.