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 excerpt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
excerpt (0) - 5 freq
except (1) - 144 freq
exempt (2) - 12 freq
expert (2) - 43 freq
excep (2) - 14 freq
excerptin (2) - 1 freq
exert (2) - 1 freq
exerce (3) - 1 freq
excpet (3) - 1 freq
efter't (3) - 4 freq
expcect (3) - 1 freq
export (3) - 10 freq
oxtert (3) - 6 freq
'cept (3) - 9 freq
excel (3) - 3 freq
exeest (3) - 1 freq
excess (3) - 10 freq
experts (3) - 25 freq
expecit (3) - 2 freq
eccent (3) - 4 freq
exect (3) - 1 freq
€˜except (3) - 1 freq
escort (3) - 3 freq
'expert (3) - 1 freq
exertit (3) - 2 freq
excerpt (0) - 5 freq
except (2) - 144 freq
excerptin (3) - 1 freq
excpet (4) - 1 freq
exempt (4) - 12 freq
expert (4) - 43 freq
exert (4) - 1 freq
excep (4) - 14 freq
accept (5) - 74 freq
crept (5) - 33 freq
excitit (5) - 31 freq
exertit (5) - 2 freq
excitet (5) - 6 freq
exceptit (5) - 2 freq
exerptit (5) - 1 freq
crypt (5) - 2 freq
curpet (5) - 1 freq
exceppin (5) - 2 freq
cept (5) - 25 freq
carpit (5) - 2 freq
exceptin (5) - 6 freq
receipt (5) - 18 freq
exect (5) - 1 freq
script (5) - 30 freq
escort (5) - 3 freq
SoundEx code - E261
ecarfuffle - 1 freq
excerpt - 5 freq
exerptit - 1 freq
escarpment - 2 freq
escribir - 2 freq
e-screive - 13 freq
e-scrieve - 1 freq
excerptin - 1 freq
exorbitant - 1 freq
eacrobertburns - 1 freq
MetaPhone code - EKSSRPT
excerpt - 5 freq
EXCERPT
Time to execute Levenshtein function - 0.233896 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 - 0.392671 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 - 0.027860 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 - 0.037112 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 - 0.000797 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.