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 gaillery in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
gaillery (0) - 1 freq
gallery (1) - 23 freq
gaithery (2) - 8 freq
vailley (2) - 6 freq
sillery (2) - 3 freq
gallers (2) - 25 freq
galley (2) - 4 freq
railwey (3) - 10 freq
gaithers (3) - 9 freq
allergy (3) - 4 freq
gahler (3) - 1 freq
hailly (3) - 8 freq
grilled (3) - 2 freq
gaithert (3) - 79 freq
maistery (3) - 1 freq
hillary (3) - 1 freq
'alley (3) - 2 freq
tilley (3) - 2 freq
gairters (3) - 1 freq
bailly (3) - 1 freq
dailer (3) - 1 freq
railly (3) - 1 freq
alley (3) - 4 freq
goller (3) - 7 freq
waller (3) - 1 freq
gaillery (0) - 1 freq
gallery (1) - 23 freq
guller (3) - 1 freq
gallerie (3) - 1 freq
geller (3) - 1 freq
galley (3) - 4 freq
gallers (3) - 25 freq
goller (3) - 7 freq
sillery (3) - 3 freq
miller (4) - 56 freq
i'gallery (4) - 1 freq
auller (4) - 1 freq
waller (4) - 1 freq
siller (4) - 763 freq
caller (4) - 80 freq
aller (4) - 2 freq
gullert (4) - 18 freq
galleys (4) - 3 freq
galle (4) - 1 freq
tiller (4) - 12 freq
'galleri (4) - 2 freq
gollert (4) - 7 freq
taaller (4) - 1 freq
hellery (4) - 3 freq
filler (4) - 2 freq
SoundEx code - G460
glaur - 101 freq
goller - 7 freq
glower - 60 freq
gallery - 23 freq
glaurie - 7 freq
glore - 5 freq
glory - 92 freq
galore - 23 freq
glare - 15 freq
glorie - 32 freq
'glory - 3 freq
glar - 7 freq
glarry - 2 freq
glaury - 14 freq
geller - 1 freq
'galerie - 1 freq
'galleri - 2 freq
gaillery - 1 freq
guller - 1 freq
'glory' - 2 freq
glawrie - 10 freq
gloir - 1 freq
gallerie - 1 freq
glowr - 1 freq
glóri - 1 freq
glour - 1 freq
gahler - 1 freq
€˜glaur - 1 freq
gleer - 1 freq
glr - 1 freq
MetaPhone code - KLR
clear - 492 freq
glaur - 101 freq
caller - 80 freq
goller - 7 freq
collar - 72 freq
gallery - 23 freq
clair - 56 freq
colour - 259 freq
glaurie - 7 freq
glore - 5 freq
calor - 2 freq
glory - 92 freq
killer - 23 freq
claer - 22 freq
color - 2 freq
cooler - 12 freq
galore - 23 freq
caaler - 1 freq
keller - 1 freq
clooer - 2 freq
clour - 1 freq
clara - 9 freq
glare - 15 freq
'clear - 1 freq
'clure - 1 freq
clure - 1 freq
glorie - 32 freq
cloor - 3 freq
cleer - 6 freq
'glory - 3 freq
glar - 7 freq
glarry - 2 freq
coloure - 1 freq
clere - 3 freq
glaury - 14 freq
culure - 1 freq
coulour - 1 freq
claire - 10 freq
caleery - 2 freq
callar - 4 freq
clarry - 2 freq
kilrea - 4 freq
calorie - 1 freq
colliery - 3 freq
'galerie - 1 freq
'galleri - 2 freq
'claire' - 1 freq
cullour - 6 freq
klieir - 1 freq
culur - 3 freq
clare - 12 freq
cleary - 1 freq
cleir - 3 freq
colour' - 1 freq
gaillery - 1 freq
guller - 1 freq
'glory' - 2 freq
glawrie - 10 freq
cler - 1 freq
gloir - 1 freq
collier - 2 freq
gallerie - 1 freq
glowr - 1 freq
glóri - 1 freq
glour - 1 freq
cleire - 1 freq
gahler - 1 freq
culor - 1 freq
€˜glaur - 1 freq
cullar - 1 freq
couler - 1 freq
culler - 1 freq
gleer - 1 freq
€œcaller - 1 freq
caler - 1 freq
cllr - 3 freq
callier - 1 freq
glr - 1 freq
claure - 4 freq
colair - 1 freq
GAILLERY
Time to execute Levenshtein function - 0.315425 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 - 0.498544 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 - 0.030683 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 - 0.040847 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 - 0.000949 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.