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 afresh in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
afresh (0) - 1 freq
fresh (1) - 198 freq
frensh (2) - 2 freq
thresh (2) - 3 freq
aires (2) - 1 freq
fress (2) - 1 freq
ayrsh (2) - 1 freq
fesh (2) - 20 freq
freish (2) - 3 freq
frush (2) - 4 freq
€œfresh (2) - 2 freq
affest (2) - 1 freq
fres (2) - 1 freq
flesh (2) - 121 freq
airish (2) - 38 freq
refresh (2) - 2 freq
ares (2) - 3 freq
ayres (2) - 1 freq
acres (2) - 24 freq
cresh (2) - 3 freq
arrest (2) - 9 freq
fresch (2) - 2 freq
abies (3) - 3 freq
abreid (3) - 12 freq
frecn (3) - 1 freq
afresh (0) - 1 freq
fresh (1) - 198 freq
freish (2) - 3 freq
frush (2) - 4 freq
flesh (3) - 121 freq
refresh (3) - 2 freq
cresh (3) - 3 freq
forsh (3) - 1 freq
fresch (3) - 2 freq
fres (3) - 1 freq
airish (3) - 38 freq
frensh (3) - 2 freq
ayrsh (3) - 1 freq
fress (3) - 1 freq
fairish (3) - 1 freq
fesh (3) - 20 freq
paerish (4) - 1 freq
freshen (4) - 3 freq
pairish (4) - 54 freq
fyres (4) - 3 freq
fash (4) - 229 freq
fysh (4) - 5 freq
frisk (4) - 1 freq
fares (4) - 5 freq
brush (4) - 92 freq
SoundEx code - A162
africa - 35 freq
african - 20 freq
aforesaid - 2 freq
approached - 17 freq
aforesyne - 4 freq
appears - 82 freq
approachin - 21 freq
approach - 105 freq
approximate - 2 freq
apricots - 3 freq
affairs - 41 freq
appreciate - 60 freq
appreciated - 25 freq
appreciation - 23 freq
apreesheeaitet - 1 freq
africy - 1 freq
approaching - 7 freq
appraise - 1 freq
average - 28 freq
apprasin - 1 freq
approaches - 10 freq
averse - 6 freq
aversion - 3 freq
affairs' - 1 freq
appreciatit - 14 freq
avarice - 1 freq
approximatin - 1 freq
avariciousness - 1 freq
approachit - 1 freq
'abricadabra - 1 freq
afresh - 1 freq
appraising - 1 freq
apprise - 1 freq
afric - 1 freq
affair's - 1 freq
afore-schuil - 7 freq
'appears - 1 freq
approchit - 1 freq
approch - 1 freq
afore's - 1 freq
appraisals - 1 freq
africay - 1 freq
afriek's - 1 freq
abercrombie - 2 freq
afrekae - 1 freq
appraisin - 1 freq
affricates - 1 freq
approximants - 1 freq
affricate - 2 freq
approximant - 4 freq
apprisit - 1 freq
africae - 3 freq
€˜approach - 1 freq
apprised - 1 freq
africk - 1 freq
aibercorn - 2 freq
approched - 1 freq
affrighted - 2 freq
africkie - 1 freq
afrikaans - 2 freq
appreciatin - 1 freq
approximately - 1 freq
aafrican - 1 freq
apricot - 1 freq
afrika - 5 freq
approachable - 1 freq
aforestation - 1 freq
€œafrika - 1 freq
afrikaaners - 3 freq
approximation - 1 freq
aproaches - 1 freq
approchan - 1 freq
appreciatively - 2 freq
aborigines - 1 freq
appraisinly - 1 freq
appreciates - 3 freq
averagin - 1 freq
africans - 1 freq
€™approach - 1 freq
€˜aforesyne - 1 freq
appreciative - 1 freq
aproch - 6 freq
après-ski - 1 freq
aipricocks - 1 freq
aberquine - 2 freq
aberjohnny - 2 freq
appréciateur - 1 freq
avvurcj - 1 freq
aberystwythcar - 1 freq
africas - 1 freq
MetaPhone code - AFRX
afresh - 1 freq
AFRESH
Time to execute Levenshtein function - 0.203968 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 - 0.374039 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 - 0.031867 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 - 0.037845 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 - 0.000796 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.