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 ‘erse’ in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
‘erse’ (0) - 3 freq
‘nae’ (3) - 1 freq
‘like’ (3) - 1 freq
‘e’ (3) - 1 freq
‘ker’ (3) - 1 freq
‘wee’ (3) - 1 freq
‘noise’ (3) - 1 freq
‘ese (3) - 1 freq
‘person’ (3) - 1 freq
‘her’ (3) - 1 freq
‘cone’ (3) - 2 freq
yerselÂ’ (3) - 1 freq
‘glow’ (4) - 1 freq
‘lurred’ (4) - 1 freq
treeÂ’ (4) - 1 freq
ersei (4) - 1 freq
pieceÂ’ (4) - 1 freq
merse (4) - 4 freq
overseer (4) - 2 freq
‘weans’ (4) - 1 freq
‘car’ (4) - 1 freq
hersel (4) - 1057 freq
owerseer (4) - 5 freq
thereÂ’s (4) - 35 freq
'yersel (4) - 2 freq
‘erse’ (0) - 3 freq
‘noise’ (4) - 1 freq
‘her’ (5) - 1 freq
‘cone’ (5) - 2 freq
‘wee’ (5) - 1 freq
‘person’ (5) - 1 freq
‘ker’ (5) - 1 freq
‘nae’ (5) - 1 freq
‘like’ (5) - 1 freq
‘e’ (5) - 1 freq
‘no’ (6) - 2 freq
‘not’ (6) - 1 freq
‘ken’ (6) - 1 freq
‘n’ (6) - 1 freq
‘na’ (6) - 1 freq
‘heresir’ (6) - 1 freq
‘deaf’ (6) - 1 freq
‘geordie’ (6) - 1 freq
‘a’ (6) - 1 freq
‘hen’ (6) - 2 freq
‘c’ (6) - 1 freq
‘cool’ (6) - 1 freq
‘rose (6) - 1 freq
‘ow’ (6) - 1 freq
‘goal’ (6) - 1 freq
SoundEx code - E620
erse - 269 freq
ears - 111 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 - 269 freq
ears - 111 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
‘ERSE’
Time to execute Levenshtein function - 0.211406 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 - 0.394891 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 - 0.028852 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 - 0.039330 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 - 0.000838 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.