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 glutton in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
glutton (0) - 5 freq
lutton (1) - 1 freq
gluttony (1) - 3 freq
gluttons (1) - 1 freq
gluten (2) - 1 freq
gluntin (2) - 1 freq
gluttit (2) - 1 freq
hutton (2) - 5 freq
guttin (2) - 17 freq
grutten (2) - 3 freq
mutton (2) - 24 freq
button (2) - 92 freq
gutten (2) - 4 freq
putton (2) - 1 freq
'luttin (2) - 1 freq
luttin (2) - 8 freq
glettan (2) - 1 freq
lutten (2) - 2 freq
sutton (2) - 6 freq
luton (2) - 2 freq
gotton (2) - 1 freq
gawston (3) - 25 freq
gitten (3) - 2 freq
gottin (3) - 2 freq
gettan (3) - 39 freq
glutton (0) - 5 freq
gluttony (1) - 3 freq
gluttons (2) - 1 freq
glettan (2) - 1 freq
lutton (2) - 1 freq
gutten (3) - 4 freq
'luttin (3) - 1 freq
luttin (3) - 8 freq
grutten (3) - 3 freq
guttin (3) - 17 freq
gluntin (3) - 1 freq
gluten (3) - 1 freq
gluttit (3) - 1 freq
gotton (3) - 1 freq
lutten (3) - 2 freq
flottin (4) - 3 freq
clattin (4) - 1 freq
litten (4) - 2 freq
flittin (4) - 66 freq
gjittin (4) - 1 freq
glett (4) - 2 freq
gyettin (4) - 1 freq
littin (4) - 10 freq
getttin (4) - 2 freq
glintan (4) - 1 freq
SoundEx code - G435
golden - 87 freq
giltin - 2 freq
gladness - 1 freq
glidin - 7 freq
gledness - 5 freq
goulden - 2 freq
gloatin - 5 freq
guillotine - 4 freq
guilletmot - 1 freq
goolden - 10 freq
guilden - 1 freq
gleddened - 2 freq
gliding - 1 freq
guillotined - 1 freq
gelatine - 2 freq
glutton - 5 freq
guilt-tinged - 1 freq
glidan - 1 freq
glydan - 1 freq
gowlden - 1 freq
glettan - 1 freq
gleetin - 2 freq
glaidden - 1 freq
goldeneye - 2 freq
goldoni - 8 freq
gluttony - 3 freq
gaeldom - 1 freq
golding's - 1 freq
gledden - 1 freq
gleddens - 1 freq
gluten - 1 freq
€œgillyteen - 1 freq
gleddent - 1 freq
gluttons - 1 freq
geldin - 1 freq
goldness - 1 freq
'golden - 1 freq
goldin - 1 freq
MetaPhone code - KLTN
couldna - 414 freq
golden - 87 freq
couldnae - 623 freq
couldnue - 1 freq
cleidin - 3 freq
collidin - 1 freq
clootin - 2 freq
clautin - 1 freq
caledonia' - 1 freq
glidin - 7 freq
culloden - 13 freq
goulden - 2 freq
culdna - 34 freq
gloatin - 5 freq
could'na - 1 freq
guillotine - 4 freq
goolden - 10 freq
cloodin - 3 freq
clattin - 1 freq
guilden - 1 freq
couldny - 13 freq
cloddin - 8 freq
calton - 10 freq
could'no - 1 freq
couldno - 5 freq
glutton - 5 freq
caledonia - 16 freq
glidan - 1 freq
claddeen - 1 freq
glydan - 1 freq
gowlden - 1 freq
glettan - 1 freq
gleetin - 2 freq
glaidden - 1 freq
cooldna - 1 freq
claddin - 1 freq
goldoni - 8 freq
gluttony - 3 freq
culdnae - 2 freq
gledden - 1 freq
calidon - 1 freq
gluten - 1 freq
coouldn - 1 freq
cuildna - 1 freq
couldn - 3 freq
€œcouldni - 1 freq
couldni - 7 freq
couldni' - 1 freq
€œculloden - 1 freq
cleedin - 1 freq
€œcaledonia - 1 freq
€œcouldn - 1 freq
cloutin - 1 freq
cuildnae - 1 freq
quiltinÂ’ - 1 freq
couldnay - 1 freq
quiltin - 1 freq
'golden - 1 freq
goldin - 1 freq
GLUTTON
Time to execute Levenshtein function - 0.227330 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 - 0.382203 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 - 0.033773 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 - 0.039902 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 - 0.000930 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.