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 unn� in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
unnerx (3) - 1 freq
unnser (3) - 8 freq
unnèr (3) - 27 freq
unn (3) - 5 freq
unner (3) - 454 freq
unnder (3) - 1 freq
unnér (3) - 5 freq
hunnle (4) - 2 freq
inna (4) - 19 freq
snn (4) - 1 freq
undae (4) - 3 freq
unyt (4) - 7 freq
bunnet (4) - 111 freq
unduin (4) - 1 freq
unendin (4) - 2 freq
funnily (4) - 6 freq
uner (4) - 2 freq
un (4) - 31 freq
tunnels (4) - 11 freq
unum (4) - 1 freq
uncrc (4) - 1 freq
sunn (4) - 8 freq
uneven (4) - 5 freq
hunnér (4) - 3 freq
unions (4) - 8 freq
unnder (6) - 1 freq
unnér (6) - 5 freq
unner (6) - 454 freq
unnerx (6) - 1 freq
unnser (6) - 8 freq
unnèr (6) - 27 freq
unn (6) - 5 freq
annoys (7) - 4 freq
annaw (7) - 2 freq
annum (7) - 2 freq
anne (7) - 74 freq
enna (7) - 11 freq
annoy (7) - 12 freq
ennit (7) - 2 freq
innins (7) - 16 freq
ennin (7) - 2 freq
annies (7) - 1 freq
onner (7) - 3 freq
innin (7) - 34 freq
enn's (7) - 1 freq
annecb (7) - 2 freq
annuff (7) - 1 freq
inn (7) - 29 freq
union' (7) - 1 freq
annay (7) - 4 freq
SoundEx code - U500
um - 142 freq
uhm - 1 freq
'um - 27 freq
uni - 51 freq
un - 31 freq
ume - 2 freq
umah - 1 freq
unn - 5 freq
uim - 1 freq
une - 4 freq
uuno - 1 freq
uneo - 1 freq
€˜um - 33 freq
uon - 1 freq
uno - 1 freq
unyo - 1 freq
umae - 1 freq
uiwm - 1 freq
uun - 1 freq
MetaPhone code - UN
uni - 51 freq
un - 31 freq
unn - 5 freq
une - 4 freq
uuno - 1 freq
uneo - 1 freq
uon - 1 freq
uno - 1 freq
uun - 1 freq
UNN�
Time to execute Levenshtein function - 0.177592 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 - 0.362055 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 - 0.027628 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 - 0.038281 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 - 0.000864 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.