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 um in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
um (0) - 142 freq
ur (1) - 541 freq
wum (1) - 1 freq
jm (1) - 57 freq
uhm (1) - 1 freq
hum (1) - 44 freq
fm (1) - 90 freq
uf (1) - 1 freq
uu (1) - 3 freq
ume (1) - 2 freq
mum (1) - 179 freq
uc (1) - 2 freq
eum (1) - 1 freq
un (1) - 31 freq
ui (1) - 6 freq
up (1) - 12983 freq
zm (1) - 1 freq
ue (1) - 2 freq
mm (1) - 18 freq
rum (1) - 32 freq
qm (1) - 1 freq
ud (1) - 4 freq
lm (1) - 5 freq
ˆm (1) - 2 freq
bm (1) - 5 freq
um (0) - 142 freq
am (1) - 1527 freq
ume (1) - 2 freq
om (1) - 6 freq
im (1) - 370 freq
yum (1) - 22 freq
ym (1) - 2 freq
uim (1) - 1 freq
m (1) - 847 freq
em (1) - 354 freq
eum (1) - 1 freq
uy (2) - 4 freq
uh (2) - 8 freq
eam (2) - 7 freq
muu (2) - 2 freq
yom (2) - 1 freq
tm (2) - 7 freq
sm (2) - 4 freq
ut (2) - 9 freq
ub (2) - 3 freq
uv (2) - 12 freq
wm (2) - 12 freq
us (2) - 3606 freq
bum (2) - 43 freq
gm (2) - 10 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 - UM
um - 142 freq
uhm - 1 freq
'um - 27 freq
ume - 2 freq
umah - 1 freq
uim - 1 freq
€˜um - 33 freq
umae - 1 freq
uiwm - 1 freq
UM
Time to execute Levenshtein function - 0.184233 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 - 0.363679 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 - 0.027245 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 - 0.036930 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 - 0.000833 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.