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 glory in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
glory (0) - 91 freq
grory (1) - 1 freq
gory (1) - 16 freq
gloy (1) - 1 freq
glore (1) - 5 freq
'glory (1) - 2 freq
lory (1) - 42 freq
loly (2) - 1 freq
clort (2) - 3 freq
gloomy (2) - 6 freq
glorify (2) - 1 freq
glert (2) - 1 freq
gly (2) - 1 freq
'glory' (2) - 2 freq
lore (2) - 12 freq
lorry (2) - 14 freq
glows (2) - 6 freq
gloss (2) - 7 freq
'lorry (2) - 1 freq
gord (2) - 1 freq
gloum (2) - 1 freq
gloom (2) - 31 freq
gary (2) - 103 freq
ploy (2) - 109 freq
gorm (2) - 1 freq
glory (0) - 91 freq
glore (1) - 5 freq
glorie (2) - 32 freq
glour (2) - 1 freq
galore (2) - 22 freq
gloir (2) - 1 freq
glr (2) - 1 freq
glaury (2) - 14 freq
glar (2) - 7 freq
glare (2) - 15 freq
'glory (2) - 2 freq
gory (2) - 16 freq
grory (2) - 1 freq
lory (2) - 42 freq
gloy (2) - 1 freq
glob (3) - 9 freq
goor (3) - 2 freq
gloag (3) - 8 freq
gleer (3) - 1 freq
garry (3) - 10 freq
glog (3) - 3 freq
glurk (3) - 1 freq
gloomy (3) - 6 freq
gloop (3) - 1 freq
flor (3) - 1 freq
SoundEx code - G460
glaur - 100 freq
goller - 7 freq
glower - 59 freq
gallery - 23 freq
glaurie - 7 freq
glore - 5 freq
glory - 91 freq
galore - 22 freq
glare - 15 freq
glorie - 32 freq
glar - 7 freq
glarry - 2 freq
glaury - 14 freq
geller - 1 freq
'glory - 2 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 - 486 freq
glaur - 100 freq
caller - 78 freq
goller - 7 freq
collar - 69 freq
gallery - 23 freq
clair - 56 freq
colour - 253 freq
glaurie - 7 freq
glore - 5 freq
calor - 2 freq
glory - 91 freq
killer - 22 freq
claer - 22 freq
color - 2 freq
cooler - 12 freq
galore - 22 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
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
'glory - 2 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
GLORY
Time to execute Levenshtein function - 0.168539 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 - 0.332016 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 - 0.028666 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 - 0.038317 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 - 0.000947 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.