A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to credit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
credit (0) - 111 freq
creedit (1) - 1 freq
redit (1) - 2 freq
credite (1) - 2 freq
credits (1) - 14 freq
breidit (2) - 1 freq
crest (2) - 7 freq
crept (2) - 33 freq
creip (2) - 2 freq
crabit (2) - 1 freq
credel (2) - 2 freq
dreidit (2) - 5 freq
grevit (2) - 1 freq
creept (2) - 2 freq
brexit (2) - 69 freq
creakit (2) - 1 freq
credle (2) - 1 freq
predic (2) - 2 freq
redin (2) - 2 freq
freit (2) - 2 freq
credited (2) - 1 freq
creepit (2) - 42 freq
treadit (2) - 1 freq
treedit (2) - 1 freq
credit's (2) - 1 freq
credit (0) - 111 freq
creedit (1) - 1 freq
credite (1) - 2 freq
croudit (2) - 4 freq
croodit (2) - 17 freq
credits (2) - 14 freq
redit (2) - 2 freq
creditor (3) - 1 freq
creditit (3) - 4 freq
chidit (3) - 2 freq
dreadit (3) - 1 freq
cordite (3) - 2 freq
creipit (3) - 2 freq
crynit (3) - 1 freq
crit (3) - 1 freq
cleidit (3) - 2 freq
crait (3) - 1 freq
creatit (3) - 34 freq
treadit (3) - 1 freq
creaut (3) - 4 freq
readit (3) - 3 freq
pridit (3) - 1 freq
treedit (3) - 1 freq
dreidit (3) - 5 freq
creepit (3) - 42 freq
SoundEx code - C633
credit - 111 freq
credit's - 1 freq
crowdit - 7 freq
coortit - 5 freq
croudit - 4 freq
creatit - 34 freq
creditor - 1 freq
cairtit - 11 freq
creaatit - 1 freq
cordite - 2 freq
crowded - 14 freq
croodit - 17 freq
created - 27 freq
credits - 14 freq
coorted - 2 freq
chirtit - 1 freq
crowdid - 1 freq
crooded - 9 freq
creditors - 3 freq
corroded - 4 freq
cairted - 5 freq
crowdet - 2 freq
creautit - 2 freq
carotid - 1 freq
credited - 1 freq
chairted - 1 freq
creditit - 4 freq
courtit - 1 freq
creditable - 1 freq
credite - 2 freq
creedit - 1 freq
carted - 2 freq
creeditors - 1 freq
co-airtit - 1 freq
ccshoreditch - 2 freq
caredotcomuk - 1 freq
curatit - 1 freq
curated - 1 freq
MetaPhone code - KRTT
guairdit - 6 freq
credit - 111 freq
crowdit - 7 freq
coortit - 5 freq
croudit - 4 freq
creatit - 34 freq
greeted - 28 freq
cairtit - 11 freq
gairdit - 6 freq
creaatit - 1 freq
greetit - 10 freq
cordite - 2 freq
graduate - 11 freq
crowded - 14 freq
croodit - 17 freq
created - 27 freq
gairded - 3 freq
coorted - 2 freq
crowdid - 1 freq
guarded - 2 freq
garrottit - 1 freq
quartet - 2 freq
crooded - 9 freq
gritted - 3 freq
corroded - 4 freq
cairted - 5 freq
crowdet - 2 freq
gratet - 1 freq
creautit - 2 freq
carotid - 1 freq
guardit - 1 freq
greitit - 1 freq
kerted - 1 freq
guairded - 3 freq
garritted - 1 freq
courtit - 1 freq
graded - 3 freq
garrotted - 1 freq
graddad - 1 freq
credite - 2 freq
creedit - 1 freq
carted - 2 freq
co-airtit - 1 freq
guerded - 1 freq
grated - 1 freq
gordaidh - 3 freq
curatit - 1 freq
curated - 1 freq
CREDIT
Time to execute Levenshtein function - 0.205067 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 - 0.335960 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 - 0.027495 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 - 0.037538 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 - 0.000890 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.