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 younker in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
younker (0) - 3 freq
younger (1) - 124 freq
younkers (1) - 9 freq
hunker (2) - 12 freq
unker (2) - 4 freq
counger (2) - 1 freq
chunker (2) - 1 freq
yunder (2) - 10 freq
crunker (2) - 1 freq
yonder (2) - 67 freq
yonner (2) - 67 freq
yorker (2) - 1 freq
yunger (2) - 11 freq
founder (2) - 3 freq
bouncer (2) - 22 freq
youngir (2) - 6 freq
young'r (2) - 2 freq
you-ken (2) - 1 freq
counter (2) - 19 freq
conker (2) - 1 freq
bunker (2) - 22 freq
rounder (2) - 1 freq
jouker (2) - 2 freq
youngers (2) - 1 freq
rouner (2) - 2 freq
younker (0) - 3 freq
unker (2) - 4 freq
younger (2) - 124 freq
younkers (2) - 9 freq
conker (3) - 1 freq
bunker (3) - 22 freq
yunger (3) - 11 freq
ouncer (3) - 1 freq
yorker (3) - 1 freq
yonkee (3) - 1 freq
jouker (3) - 2 freq
youngir (3) - 6 freq
yonder (3) - 67 freq
yonner (3) - 67 freq
yunder (3) - 10 freq
hunker (3) - 12 freq
unner (4) - 454 freq
minker (4) - 2 freq
joaker (4) - 1 freq
cooker (4) - 21 freq
hanker (4) - 3 freq
jinker (4) - 2 freq
unter (4) - 1 freq
inkir (4) - 1 freq
yerker (4) - 1 freq
SoundEx code - Y526
younger - 124 freq
yunger - 11 freq
yinger - 2 freq
younker - 3 freq
youngir - 6 freq
youngerself - 1 freq
younkers - 9 freq
young'r - 2 freq
yungir - 5 freq
youngers - 1 freq
yin-soorce - 4 freq
yin-servant - 1 freq
young’r - 1 freq
younakahara - 1 freq
MetaPhone code - YNKR
younker - 3 freq
young'r - 2 freq
young’r - 1 freq
YOUNKER
Time to execute Levenshtein function - 0.195998 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 - 0.368803 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 - 0.027905 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 - 0.039208 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 - 0.000775 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.