A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to accuses in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
accuses (0) - 1 freq
accused (1) - 24 freq
accuse (1) - 6 freq
accusers (1) - 2 freq
acause (2) - 299 freq
acuse (2) - 1 freq
access (2) - 74 freq
accies (2) - 2 freq
accusin (2) - 7 freq
accusit (2) - 1 freq
excuses (2) - 25 freq
accause (2) - 9 freq
abuses (2) - 4 freq
accured (2) - 1 freq
causes (2) - 25 freq
focuses (2) - 2 freq
amused (3) - 18 freq
acorss (3) - 9 freq
accepts (3) - 6 freq
accurense (3) - 1 freq
abcess (3) - 2 freq
clutes (3) - 4 freq
acrass (3) - 1 freq
caises (3) - 2 freq
clusks (3) - 1 freq
accuses (0) - 1 freq
access (2) - 74 freq
accusers (2) - 2 freq
accused (2) - 24 freq
accuse (2) - 6 freq
accause (3) - 9 freq
causes (3) - 25 freq
focuses (3) - 2 freq
excuses (3) - 25 freq
accusit (3) - 1 freq
accusin (3) - 7 freq
accies (3) - 2 freq
cases (4) - 56 freq
caases (4) - 3 freq
curses (4) - 8 freq
bicuss (4) - 1 freq
actoss (4) - 1 freq
crocuses (4) - 2 freq
across (4) - 587 freq
cses (4) - 2 freq
occurs (4) - 7 freq
chases (4) - 7 freq
gcses (4) - 3 freq
eccies (4) - 3 freq
accessed (4) - 2 freq
SoundEx code - A222
assizes - 2 freq
associe's - 1 freq
accuses - 1 freq
associes - 5 freq
axcizojvhk - 1 freq
MetaPhone code - AKKSS
accuses - 1 freq
ACCUSES
Time to execute Levenshtein function - 0.233822 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 - 0.528085 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 - 0.029889 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 - 0.074678 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 - 0.000877 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.