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 ulg in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ulg (0) - 1 freq
uog (1) - 1 freq
ul (1) - 9 freq
mlg (1) - 1 freq
ubg (1) - 4 freq
ung (1) - 1 freq
ulf (1) - 4 freq
ull (1) - 24 freq
lg (1) - 4 freq
ug (1) - 6 freq
cg (2) - 3 freq
cla (2) - 1 freq
usli (2) - 1 freq
upr (2) - 2 freq
vpg (2) - 2 freq
ali (2) - 165 freq
usc (2) - 1 freq
culd (2) - 41 freq
ªla (2) - 2 freq
un (2) - 31 freq
llb (2) - 1 freq
mwg (2) - 1 freq
burg (2) - 1 freq
hcg (2) - 1 freq
jog (2) - 7 freq
ulg (0) - 1 freq
lg (1) - 4 freq
ug (2) - 6 freq
lig (2) - 18 freq
leg (2) - 202 freq
lug (2) - 302 freq
log (2) - 36 freq
lag (2) - 5 freq
olga (2) - 1 freq
ull (2) - 24 freq
mlg (2) - 1 freq
ul (2) - 9 freq
uog (2) - 1 freq
ung (2) - 1 freq
ubg (2) - 4 freq
ulf (2) - 4 freq
yl (3) - 4 freq
sig (3) - 3 freq
ylk (3) - 1 freq
eig (3) - 1 freq
keg (3) - 2 freq
al' (3) - 24 freq
clog (3) - 2 freq
plug (3) - 28 freq
kg (3) - 4 freq
SoundEx code - U420
'uls' - 1 freq
ulujk - 1 freq
ulg - 1 freq
ulls - 1 freq
MetaPhone code - ULK
ulg - 1 freq
ULG
Time to execute Levenshtein function - 0.192290 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 - 0.338362 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 - 0.027861 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 - 0.038807 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 - 0.000907 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.