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 urjent in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
urjent (0) - 1 freq
urgent (1) - 16 freq
greent (2) - 1 freq
orient (2) - 1 freq
current (2) - 91 freq
furnent (2) - 1 freq
unkent (2) - 52 freq
burdent (2) - 1 freq
unjest (2) - 1 freq
rent (2) - 48 freq
unjynt (2) - 1 freq
furrent (2) - 2 freq
uwjenc (2) - 1 freq
ardent (2) - 2 freq
prent (2) - 42 freq
brent (2) - 17 freq
preent (2) - 2 freq
prsent (2) - 1 freq
mament (3) - 14 freq
friens (3) - 50 freq
irene (3) - 56 freq
entent (3) - 1 freq
reut (3) - 1 freq
haurdent (3) - 1 freq
frownt (3) - 1 freq
urjent (0) - 1 freq
urgent (2) - 16 freq
ardent (3) - 2 freq
rent (3) - 48 freq
orient (3) - 1 freq
rejynt (3) - 1 freq
unjynt (3) - 1 freq
jjnt (4) - 1 freq
ruint (4) - 7 freq
bejant (4) - 4 freq
rant (4) - 26 freq
yarbent (4) - 2 freq
iront (4) - 1 freq
junt (4) - 1 freq
errant (4) - 2 freq
relent (4) - 5 freq
runt (4) - 7 freq
recent (4) - 72 freq
jant (4) - 2 freq
repent (4) - 17 freq
jint (4) - 6 freq
jynt (4) - 45 freq
rodent (4) - 4 freq
regent (4) - 6 freq
rint (4) - 4 freq
SoundEx code - U625
urgency - 9 freq
urchin - 2 freq
urgent - 16 freq
urgently - 7 freq
urchins - 2 freq
urjent - 1 freq
urging - 1 freq
urzum - 1 freq
MetaPhone code - URJNT
urgent - 16 freq
urjent - 1 freq
URJENT
Time to execute Levenshtein function - 0.186682 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 - 0.372149 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 - 0.027921 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 - 0.037265 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 - 0.000873 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.