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 ‘union in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
‘union (0) - 1 freq
union (2) - 192 freq
reunion (2) - 6 freq
bunion (2) - 1 freq
prunin (3) - 2 freq
inion (3) - 1 freq
unions (3) - 8 freq
union' (3) - 1 freq
tunin (3) - 12 freq
sounin (3) - 8 freq
‘kin (3) - 1 freq
launin (3) - 1 freq
‘brian (3) - 1 freq
'union' (3) - 1 freq
eisunion (3) - 1 freq
onion (3) - 14 freq
haunin (3) - 7 freq
mayunion (3) - 1 freq
bounin (3) - 1 freq
lundon (3) - 2 freq
brunton (3) - 24 freq
apinion (3) - 1 freq
daunton (3) - 2 freq
caution (3) - 10 freq
undon (3) - 1 freq
‘union (0) - 1 freq
‘mon (4) - 1 freq
‘kin (4) - 1 freq
union (4) - 192 freq
‘no (4) - 1 freq
bunion (4) - 1 freq
reunion (4) - 6 freq
re-union (5) - 1 freq
‘thon (5) - 1 freq
opinion (5) - 70 freq
minion (5) - 3 freq
‘done (5) - 1 freq
‘en (5) - 3 freq
‘queen (5) - 1 freq
‘n (5) - 1 freq
apinion (5) - 1 freq
lunnon (5) - 33 freq
uinion (5) - 1 freq
‘new (5) - 2 freq
eisunion (5) - 1 freq
onion (5) - 14 freq
prunin (5) - 2 freq
‘brian (5) - 1 freq
launin (5) - 1 freq
inion (5) - 1 freq
SoundEx code - U550
union - 192 freq
umman - 15 freq
unean - 1 freq
union' - 1 freq
€™umman - 23 freq
uinioun - 1 freq
un-won - 1 freq
unum - 1 freq
uinion - 1 freq
‘union - 1 freq
'union' - 1 freq
MetaPhone code - UNN
union - 192 freq
unean - 1 freq
union' - 1 freq
uinioun - 1 freq
uinion - 1 freq
‘union - 1 freq
'union' - 1 freq
‘UNION
Time to execute Levenshtein function - 0.230294 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 - 0.371239 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 - 0.035730 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 - 0.036882 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 - 0.000899 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.