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 errs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
errs (0) - 1 freq
erms (1) - 48 freq
terrs (1) - 1 freq
ears (1) - 112 freq
urrs (1) - 1 freq
eers (1) - 9 freq
eras (1) - 2 freq
erns (1) - 1 freq
erra (1) - 3 freq
ehrs (1) - 2 freq
herrs (1) - 1 freq
serrs (1) - 5 freq
erss (1) - 3 freq
perrs (1) - 1 freq
eirs (1) - 3 freq
eres (1) - 1 freq
eros (1) - 16 freq
kerrs (1) - 9 freq
err's (1) - 1 freq
erts (1) - 11 freq
ers (1) - 25 freq
err (1) - 40 freq
er's (1) - 20 freq
veers (2) - 1 freq
lars (2) - 1 freq
errs (0) - 1 freq
urrs (1) - 1 freq
erts (2) - 11 freq
err (2) - 40 freq
err's (2) - 1 freq
eros (2) - 16 freq
kerrs (2) - 9 freq
er's (2) - 20 freq
airrs (2) - 2 freq
arras (2) - 24 freq
orras (2) - 1 freq
rears (2) - 2 freq
rrus (2) - 1 freq
eres (2) - 1 freq
ers (2) - 25 freq
erms (2) - 48 freq
eers (2) - 9 freq
eirs (2) - 3 freq
terrs (2) - 1 freq
eras (2) - 2 freq
ears (2) - 112 freq
erra (2) - 3 freq
erns (2) - 1 freq
serrs (2) - 5 freq
erss (2) - 3 freq
SoundEx code - E620
erse - 270 freq
ears - 112 freq
erack - 1 freq
eares - 1 freq
eros - 16 freq
erik - 2 freq
ere's - 279 freq
eries - 1 freq
erchie - 59 freq
eers - 9 freq
err's - 1 freq
erch - 3 freq
errs - 1 freq
eariwig - 2 freq
eras - 2 freq
er's - 20 freq
eirse - 2 freq
eureka - 3 freq
eric - 63 freq
'eric - 1 freq
eric' - 1 freq
'eric's - 1 freq
ear's - 1 freq
eric's - 8 freq
ere''s - 1 freq
eer's - 1 freq
eoorse - 2 freq
eross - 1 freq
erika - 1 freq
eeyore's - 1 freq
euros - 7 freq
'ere's - 35 freq
eariewigs - 1 freq
eariewig - 2 freq
'eureka - 1 freq
¬‚ers - 1 freq
erk - 5 freq
'ears - 8 freq
ee-ers - 1 freq
erek - 1 freq
eirs - 3 freq
errows - 1 freq
ersei - 1 freq
erica - 1 freq
ersh - 1 freq
'er's - 1 freq
ehrs - 2 freq
erz - 3 freq
erza - 1 freq
errza - 2 freq
earse - 4 freq
€™ers - 4 freq
eres - 1 freq
erss - 3 freq
ers - 25 freq
€˜erchie - 1 freq
eurasia - 1 freq
€œeros - 1 freq
eurig - 1 freq
€˜ears - 3 freq
ergo - 1 freq
€™erse - 1 freq
ersch - 1 freq
ersche - 1 freq
eriwazqu - 1 freq
eurohoschie - 1 freq
‘erse’ - 3 freq
erse' - 1 freq
erikg - 1 freq
erke - 1 freq
'eres - 1 freq
eeeerrrrrs - 1 freq
MetaPhone code - ERS
erse - 270 freq
ears - 112 freq
eares - 1 freq
eros - 16 freq
ere's - 279 freq
eries - 1 freq
eers - 9 freq
err's - 1 freq
aers - 2 freq
errs - 1 freq
eras - 2 freq
er's - 20 freq
eirse - 2 freq
ear's - 1 freq
ere''s - 1 freq
eer's - 1 freq
eoorse - 2 freq
eross - 1 freq
euros - 7 freq
'ere's - 35 freq
¬‚ers - 1 freq
'ears - 8 freq
ee-ers - 1 freq
eirs - 3 freq
errows - 1 freq
ersei - 1 freq
'er's - 1 freq
ehrs - 2 freq
erz - 3 freq
erza - 1 freq
errza - 2 freq
earse - 4 freq
€™ers - 4 freq
eres - 1 freq
erss - 3 freq
ers - 25 freq
€œeros - 1 freq
€˜ears - 3 freq
€™erse - 1 freq
‘erse’ - 3 freq
erse' - 1 freq
'eres - 1 freq
eeeerrrrrs - 1 freq
ERRS
Time to execute Levenshtein function - 0.229334 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 - 0.332105 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 - 0.027093 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 - 0.036773 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 - 0.000999 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.