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 yellochin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yellochin (0) - 11 freq
bellochin (1) - 3 freq
yelloched (2) - 34 freq
skellochin (2) - 7 freq
yallochie (2) - 1 freq
yellocht (2) - 1 freq
yellochs (2) - 1 freq
yelloch (2) - 7 freq
wallochin (2) - 1 freq
grallochin (3) - 1 freq
bellochs (3) - 1 freq
slochin (3) - 2 freq
belloch (3) - 3 freq
bellocht (3) - 1 freq
belloched (3) - 21 freq
bollockin (3) - 1 freq
yellin (3) - 13 freq
belchin (3) - 2 freq
mollachin (3) - 1 freq
gollachin (3) - 1 freq
yeuchin (3) - 1 freq
lockin (4) - 7 freq
slockin (4) - 1 freq
moochin (4) - 4 freq
cellophane (4) - 1 freq
yellochin (0) - 11 freq
bellochin (2) - 3 freq
yellochs (3) - 1 freq
wallochin (3) - 1 freq
yelloch (3) - 7 freq
yellocht (3) - 1 freq
yallochie (3) - 1 freq
yelloched (3) - 34 freq
belchin (4) - 2 freq
mollachin (4) - 1 freq
gollachin (4) - 1 freq
slochin (4) - 2 freq
skellochin (4) - 7 freq
flechin (5) - 1 freq
yellyhooin (5) - 2 freq
lurchin (5) - 1 freq
latchin (5) - 2 freq
lachin (5) - 46 freq
lochan (5) - 26 freq
claichin (5) - 1 freq
leechin (5) - 1 freq
laachin (5) - 27 freq
bleachin (5) - 4 freq
lauchin (5) - 99 freq
allocatin (5) - 1 freq
SoundEx code - Y425
yellochin - 11 freq
yalkin - 2 freq
yellasome - 1 freq
MetaPhone code - YLXN
yellochin - 11 freq
YELLOCHIN
Time to execute Levenshtein function - 0.210031 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 - 0.349926 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 - 0.029203 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 - 0.037573 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 - 0.000983 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.