A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to editit in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
editit (0) - 6 freq
editin (1) - 22 freq
ditit (1) - 1 freq
evitit (1) - 2 freq
ectit (2) - 1 freq
haitit (2) - 1 freq
smitit (2) - 1 freq
suitit (2) - 8 freq
eijit (2) - 1 freq
ruitit (2) - 7 freq
delitit (2) - 3 freq
evictit (2) - 1 freq
excitit (2) - 31 freq
edict (2) - 2 freq
saitit (2) - 2 freq
endytit (2) - 1 freq
editor (2) - 70 freq
edit (2) - 17 freq
evytit (2) - 1 freq
leitit (2) - 3 freq
emptit (2) - 1 freq
creditit (2) - 4 freq
mediatit (2) - 1 freq
waitit (2) - 81 freq
recitit (2) - 5 freq
editit (0) - 6 freq
ditit (1) - 1 freq
datit (2) - 6 freq
dotit (2) - 1 freq
dytit (2) - 2 freq
editin (2) - 22 freq
evitit (2) - 2 freq
doitit (2) - 13 freq
eatit (3) - 1 freq
unitit (3) - 29 freq
editer (3) - 1 freq
elatit (3) - 1 freq
edited (3) - 6 freq
dintit (3) - 3 freq
pitit (3) - 5 freq
citit (3) - 2 freq
ditto (3) - 2 freq
daetit (3) - 1 freq
ditty (3) - 4 freq
doutit (3) - 4 freq
dootit (3) - 2 freq
edition (3) - 27 freq
editar (3) - 2 freq
ediot (3) - 1 freq
dittit (3) - 1 freq
SoundEx code - E333
editit - 6 freq
edited - 6 freq
editathon - 3 freq
MetaPhone code - ETTT
editit - 6 freq
edited - 6 freq
EDITIT
Time to execute Levenshtein function - 0.201475 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 - 0.328669 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 - 0.027515 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 - 0.037182 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 - 0.000911 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.