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 yrs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
yrs (0) - 16 freq
yurs (1) - 2 freq
yrw (1) - 1 freq
™rs (1) - 1 freq
rs (1) - 20 freq
yas (1) - 28 freq
hrs (1) - 13 freq
yr (1) - 16 freq
yis (1) - 275 freq
yps (1) - 1 freq
mrs (1) - 736 freq
yrd (1) - 1 freq
ys (1) - 4 freq
yirs (1) - 4 freq
yus (1) - 1 freq
irs (1) - 1 freq
yry (1) - 1 freq
yes (1) - 243 freq
yers (1) - 19 freq
ars (1) - 2 freq
ers (1) - 25 freq
rc (2) - 3 freq
hls (2) - 1 freq
ayes (2) - 2 freq
bes (2) - 315 freq
yrs (0) - 16 freq
ers (1) - 25 freq
ars (1) - 2 freq
irs (1) - 1 freq
rs (1) - 20 freq
yurs (1) - 2 freq
yers (1) - 19 freq
yirs (1) - 4 freq
iris (2) - 3 freq
rys (2) - 3 freq
eres (2) - 1 freq
ris (2) - 41 freq
erse (2) - 269 freq
ares (2) - 3 freq
oars (2) - 25 freq
ayres (2) - 1 freq
yeers (2) - 2 freq
res (2) - 2 freq
aers (2) - 2 freq
oors (2) - 353 freq
eers (2) - 9 freq
years (2) - 1141 freq
airs (2) - 38 freq
arse (2) - 113 freq
eros (2) - 16 freq
SoundEx code - Y620
years - 1141 freq
york - 25 freq
yours - 166 freq
yours' - 3 freq
yeirs - 45 freq
yerk - 3 freq
year's - 48 freq
years' - 6 freq
yurs - 2 freq
yers - 19 freq
yerseu' - 1 freq
yeer's - 6 freq
yark - 8 freq
yeir's - 1 freq
yirs - 4 freq
yers' - 2 freq
'yours' - 1 freq
yer's - 2 freq
yarrows - 1 freq
yeers - 2 freq
your's' - 1 freq
yerks - 1 freq
yeiris - 1 freq
yrs - 16 freq
€˜yours - 2 freq
yorick - 2 freq
yorkie - 5 freq
€œyours - 1 freq
yourse - 1 freq
yarries - 1 freq
yarras - 1 freq
MetaPhone code - RS
rose - 216 freq
roose - 5 freq
rise - 242 freq
race - 139 freq
rauz - 1 freq
rouse - 14 freq
rues - 2 freq
raise - 156 freq
rosie - 73 freq
ruise - 9 freq
rase - 37 freq
raas - 10 freq
raz - 1 freq
russia - 17 freq
raws - 31 freq
rows - 25 freq
'rose - 1 freq
ross - 100 freq
rosy - 40 freq
rays - 29 freq
rousay - 4 freq
ris - 41 freq
'raise - 2 freq
ruse - 1 freq
rice - 106 freq
reeze - 1 freq
roase - 1 freq
ryse - 5 freq
ruz - 3 freq
riz - 10 freq
rosa - 12 freq
rs - 20 freq
raes - 2 freq
russe - 1 freq
roy's - 2 freq
ruso - 2 freq
reese - 10 freq
rys - 3 freq
rissie - 1 freq
'rise - 3 freq
rees - 6 freq
roo's - 4 freq
rois - 4 freq
rews - 2 freq
rosé - 1 freq
ræs - 1 freq
rysa - 1 freq
roos - 2 freq
roe's - 1 freq
ris' - 9 freq
rizzio - 13 freq
reza - 1 freq
reis - 1 freq
ªrsi - 1 freq
™rs - 1 freq
raas' - 1 freq
reyyce - 1 freq
wyres - 8 freq
riss - 2 freq
royce - 5 freq
rws - 17 freq
rizz - 1 freq
€™rous - 1 freq
'race - 1 freq
ryss - 3 freq
reizie - 1 freq
ricey - 1 freq
yrs - 16 freq
€™rs - 2 freq
hrs - 13 freq
rossie - 3 freq
rese - 1 freq
raisse - 1 freq
€œross - 1 freq
ros - 1 freq
rzz - 1 freq
rz - 4 freq
rsih - 1 freq
rzao - 1 freq
russ - 2 freq
‘rose - 1 freq
reuse - 2 freq
reece - 1 freq
roiz - 1 freq
wrzh - 1 freq
ross' - 2 freq
raeÂ’s - 1 freq
rousey - 1 freq
rrus - 1 freq
rsw - 1 freq
rossi - 2 freq
res - 2 freq
rayÂ’s - 1 freq
YRS
Time to execute Levenshtein function - 0.314805 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 - 0.466490 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 - 0.027688 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 - 0.037670 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 - 0.000790 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.