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 uni in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
uni (0) - 53 freq
uri (1) - 7 freq
kni (1) - 1 freq
une (1) - 4 freq
xni (1) - 1 freq
unk (1) - 1 freq
uno (1) - 1 freq
£ni (1) - 2 freq
unt (1) - 1 freq
ung (1) - 1 freq
ui (1) - 6 freq
wuni (1) - 1 freq
unis (1) - 2 freq
unn (1) - 5 freq
und (1) - 12 freq
oni (1) - 1 freq
puni (1) - 25 freq
uhi (1) - 1 freq
uki (1) - 2 freq
ni (1) - 30 freq
unit (1) - 42 freq
un (1) - 31 freq
uup (2) - 4 freq
tfi (2) - 2 freq
usa (2) - 52 freq
uni (0) - 53 freq
oni (1) - 1 freq
un (1) - 31 freq
uno (1) - 1 freq
ni (1) - 30 freq
une (1) - 4 freq
yn (2) - 6 freq
oun (2) - 14 freq
unyo (2) - 1 freq
eno (2) - 9 freq
ono (2) - 3 freq
nu (2) - 10 freq
uun (2) - 1 freq
in (2) - 45098 freq
en (2) - 618 freq
yun (2) - 140 freq
ne (2) - 86 freq
onie (2) - 778 freq
ane (2) - 2140 freq
any (2) - 719 freq
ynu (2) - 9 freq
uneo (2) - 1 freq
ena (2) - 16 freq
one (2) - 766 freq
eny (2) - 7 freq
SoundEx code - U500
um - 151 freq
uhm - 1 freq
'um - 35 freq
uni - 53 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 - 53 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
UNI
Time to execute Levenshtein function - 0.178144 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 - 0.316050 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 - 0.027404 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 - 0.039908 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 - 0.001232 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.