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 urr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
urr (0) - 43 freq
burr (1) - 2 freq
grr (1) - 2 freq
urn (1) - 6 freq
turr (1) - 1 freq
gurr (1) - 15 freq
irr (1) - 2 freq
ur (1) - 541 freq
ury (1) - 2 freq
murr (1) - 1 freq
furr (1) - 12 freq
brr (1) - 5 freq
orr (1) - 16 freq
hurr (1) - 1 freq
rr (1) - 1 freq
urrs (1) - 1 freq
jrr (1) - 1 freq
wurr (1) - 27 freq
ure (1) - 5 freq
err (1) - 40 freq
udr (1) - 1 freq
urx (1) - 1 freq
purr (1) - 2 freq
upr (1) - 2 freq
url (1) - 1 freq
urr (0) - 43 freq
irr (1) - 2 freq
rr (1) - 1 freq
orr (1) - 16 freq
err (1) - 40 freq
ur' (2) - 1 freq
zrr (2) - 1 freq
url (2) - 1 freq
urx (2) - 1 freq
purr (2) - 2 freq
uri (2) - 7 freq
rur (2) - 3 freq
erra (2) - 3 freq
rar (2) - 1 freq
rre (2) - 1 freq
orra (2) - 172 freq
rer (2) - 3 freq
udr (2) - 1 freq
arra (2) - 31 freq
arry (2) - 1 freq
upr (2) - 2 freq
ure (2) - 5 freq
grr (2) - 2 freq
burr (2) - 2 freq
ury (2) - 2 freq
SoundEx code - U600
ur - 541 freq
urr - 43 freq
ure - 5 freq
'ur - 7 freq
uriah - 2 freq
uri - 7 freq
ury - 2 freq
uayry - 1 freq
ur' - 1 freq
€˜ur - 12 freq
€œur - 1 freq
urie - 1 freq
MetaPhone code - UR
ur - 541 freq
urr - 43 freq
ure - 5 freq
'ur - 7 freq
uriah - 2 freq
uri - 7 freq
ury - 2 freq
uayry - 1 freq
ur' - 1 freq
€˜ur - 12 freq
€œur - 1 freq
urie - 1 freq
URR
Time to execute Levenshtein function - 0.171806 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 - 0.325558 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 - 0.027037 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 - 0.037194 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 - 0.000889 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.