A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to caledones in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
caledones (0) - 1 freq
caledons (1) - 2 freq
caledonia (2) - 16 freq
calidon (3) - 1 freq
caledonian (3) - 10 freq
caledonia' (3) - 1 freq
clones (3) - 1 freq
camerons (3) - 1 freq
cauldnes (3) - 1 freq
casenotes (3) - 1 freq
anemones (3) - 2 freq
caledonia's (3) - 1 freq
caledonians (3) - 2 freq
cameron's (3) - 3 freq
€œcaledonia (4) - 1 freq
maleness (4) - 1 freq
leone (4) - 1 freq
clone (4) - 5 freq
cardies (4) - 1 freq
chaperone (4) - 1 freq
aaredies (4) - 1 freq
clean's (4) - 1 freq
adores (4) - 2 freq
aldo's (4) - 29 freq
earphones (4) - 2 freq
caledones (0) - 1 freq
caledons (1) - 2 freq
cauldnes (3) - 1 freq
caledonia (3) - 16 freq
caledonian (4) - 10 freq
calidon (4) - 1 freq
caledonians (4) - 2 freq
clones (4) - 1 freq
caledonia' (4) - 1 freq
caledonia's (4) - 1 freq
cleans (5) - 9 freq
codonas (5) - 1 freq
eildons (5) - 1 freq
calders (5) - 2 freq
clynes (5) - 1 freq
colonies (5) - 7 freq
caladonian (5) - 1 freq
cauldrons (5) - 2 freq
coldness (5) - 2 freq
camerons (5) - 1 freq
cauldness (5) - 6 freq
cludgies (5) - 7 freq
clesses (6) - 54 freq
colonels (6) - 1 freq
calves (6) - 5 freq
SoundEx code - C435
couldna - 414 freq
couldnae - 623 freq
couldnae've - 4 freq
couldnue - 1 freq
cleidin - 3 freq
collidin - 1 freq
couldn't - 18 freq
clootin - 2 freq
caledonia's - 1 freq
clautin - 1 freq
caledonia' - 1 freq
culloden - 13 freq
caledonian - 10 freq
culdna - 34 freq
could'na - 1 freq
couldna'v - 1 freq
cloodin - 3 freq
clattin - 1 freq
couldny - 13 freq
cloddin - 8 freq
calton - 10 freq
could'no - 1 freq
couldno - 5 freq
caledonians - 2 freq
claithe'n - 1 freq
cooldness - 1 freq
caledons - 2 freq
clytemnestra's - 1 freq
clood-man - 1 freq
clothin - 2 freq
caledonia - 16 freq
claddeen - 1 freq
cauldnes - 1 freq
claithin - 1 freq
cauldness - 6 freq
cooldna - 1 freq
claddin - 1 freq
culdnae - 2 freq
calidon - 1 freq
chilton - 1 freq
caledones - 1 freq
coouldn - 1 freq
cuildna - 1 freq
clotting - 1 freq
clothing - 4 freq
clood-hentin - 1 freq
couldn - 3 freq
€œcouldni - 1 freq
couldni - 7 freq
couldni' - 1 freq
€œculloden - 1 freq
cleedin - 1 freq
clathin - 1 freq
€œcaledonia - 1 freq
€œcouldn - 1 freq
colluding - 1 freq
coldness - 2 freq
coalition - 8 freq
coalitions - 1 freq
cloutin - 1 freq
cuildnae - 1 freq
caldamac - 6 freq
caladonian - 1 freq
claething - 1 freq
couldnay - 1 freq
couldnÂ’t - 1 freq
colytonwildlife - 1 freq
couldnt - 1 freq
child-hunting - 1 freq
MetaPhone code - KLTNS
caledonia's - 1 freq
gladness - 1 freq
gledness - 5 freq
cooldness - 1 freq
caledons - 2 freq
cauldnes - 1 freq
cauldness - 6 freq
caledones - 1 freq
gleddens - 1 freq
coldness - 2 freq
gluttons - 1 freq
goldness - 1 freq
CALEDONES
Time to execute Levenshtein function - 0.298901 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 - 0.652372 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 - 0.049516 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 - 0.044590 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 - 0.000907 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.