A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to um in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
um (0) - 151 freq
wum (1) - 1 freq
bm (1) - 5 freq
ˆm (1) - 2 freq
vm (1) - 11 freq
ue (1) - 2 freq
wm (1) - 12 freq
pum (1) - 3 freq
uy (1) - 4 freq
›m (1) - 2 freq
ym (1) - 2 freq
jm (1) - 57 freq
ua (1) - 3 freq
gum (1) - 19 freq
uim (1) - 1 freq
cm (1) - 13 freq
uo (1) - 4 freq
uc (1) - 2 freq
uh (1) - 9 freq
eum (1) - 1 freq
ume (1) - 2 freq
tum (1) - 17 freq
ux (1) - 3 freq
uz (1) - 50 freq
m (1) - 847 freq
um (0) - 151 freq
im (1) - 370 freq
ym (1) - 2 freq
am (1) - 1545 freq
uim (1) - 1 freq
yum (1) - 22 freq
ume (1) - 2 freq
eum (1) - 1 freq
m (1) - 847 freq
om (1) - 6 freq
em (1) - 354 freq
oim (2) - 14 freq
ame (2) - 3 freq
ul (2) - 9 freq
iim (2) - 2 freq
iam (2) - 2 freq
my (2) - 2963 freq
up (2) - 13212 freq
lm (2) - 5 freq
kum (2) - 8 freq
un (2) - 31 freq
dm (2) - 12 freq
ub (2) - 3 freq
uj (2) - 3 freq
rm (2) - 11 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 - UM
um - 151 freq
uhm - 1 freq
'um - 35 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 - 0.181600 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 - 0.323397 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 - 0.027655 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 - 0.037363 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 - 0.000919 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.