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 yernan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yernan (0) - 1 freq
yarnan (1) - 3 freq
werna (2) - 13 freq
murnan (2) - 2 freq
bernam (2) - 1 freq
warnan (2) - 1 freq
yeusan (2) - 1 freq
learnan (2) - 2 freq
eeran (2) - 2 freq
dornan (2) - 2 freq
ferman (2) - 1 freq
erran (2) - 3 freq
yet-an (2) - 2 freq
vernal (2) - 3 freq
herdan (2) - 1 freq
vernon (2) - 1 freq
yearnin (2) - 1 freq
kertan (2) - 1 freq
turnan (2) - 20 freq
ergan (2) - 1 freq
jerkan (2) - 1 freq
yawnan (2) - 2 freq
leanan (2) - 4 freq
yeman (2) - 1 freq
kenan (2) - 3 freq
yernan (0) - 1 freq
yarnan (1) - 3 freq
yearnin (2) - 1 freq
yarnin (2) - 18 freq
burnan (3) - 7 freq
yerns (3) - 1 freq
meanan (3) - 12 freq
leanan (3) - 4 freq
kenan (3) - 3 freq
yerkin (3) - 4 freq
mornan (3) - 1 freq
rnin (3) - 1 freq
airnin (3) - 1 freq
renn (3) - 9 freq
erenn (3) - 1 freq
rainan (3) - 1 freq
yawnan (3) - 2 freq
girnan (3) - 1 freq
reinen (3) - 1 freq
earnin (3) - 8 freq
eenan (3) - 1 freq
murnan (3) - 2 freq
eeran (3) - 2 freq
learnan (3) - 2 freq
erran (3) - 3 freq
SoundEx code - Y655
yearnin - 1 freq
yarnin - 18 freq
yarnan - 3 freq
yernan - 1 freq
yearnins - 1 freq
yarning - 1 freq
yirmembershipisawasteocash - 1 freq
MetaPhone code - YRNN
yearnin - 1 freq
yarnin - 18 freq
yarnan - 3 freq
yernan - 1 freq
YERNAN
Time to execute Levenshtein function - 0.229400 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 - 0.406613 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 - 0.028839 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 - 0.038357 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 - 0.000945 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.