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 galore in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
galore (0) - 23 freq
glore (1) - 5 freq
glorie (2) - 32 freq
gare (2) - 1 freq
malone (2) - 4 freq
globe (2) - 31 freq
gore (2) - 5 freq
gale (2) - 64 freq
calorie (2) - 1 freq
galle (2) - 1 freq
'afore (2) - 8 freq
glowe (2) - 3 freq
glory (2) - 92 freq
gallae (2) - 1 freq
lalor (2) - 8 freq
glove (2) - 11 freq
gulmore (2) - 1 freq
afore (2) - 3480 freq
splore (2) - 25 freq
alowe (2) - 13 freq
galute (2) - 1 freq
adore (2) - 12 freq
calor (2) - 2 freq
lore (2) - 12 freq
aloe (2) - 1 freq
galore (0) - 23 freq
glore (1) - 5 freq
glory (2) - 92 freq
glare (2) - 15 freq
glorie (2) - 32 freq
galute (3) - 1 freq
lore (3) - 12 freq
glour (3) - 1 freq
gulmore (3) - 1 freq
galoot (3) - 8 freq
gloze (3) - 1 freq
gloir (3) - 1 freq
glar (3) - 7 freq
galowa (3) - 1 freq
glove (3) - 11 freq
calor (3) - 2 freq
lalor (3) - 8 freq
galle (3) - 1 freq
gore (3) - 5 freq
gale (3) - 64 freq
calorie (3) - 1 freq
glr (3) - 1 freq
glowe (3) - 3 freq
globe (3) - 31 freq
gare (3) - 1 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
GALORE
Time to execute Levenshtein function - 0.226482 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 - 0.394353 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 - 0.028588 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 - 0.039828 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 - 0.000934 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.