A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to errors in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
errors (0) - 7 freq
terrors (1) - 3 freq
errows (1) - 1 freq
error (1) - 16 freq
mirrors (2) - 24 freq
terror (2) - 39 freq
euros (2) - 7 freq
jurors (2) - 24 freq
err's (2) - 1 freq
errins (2) - 1 freq
errour (2) - 1 freq
werrers (2) - 1 freq
erroll (2) - 1 freq
ejurors (2) - 1 freq
eros (2) - 16 freq
horrors (2) - 18 freq
errs (2) - 1 freq
errol (2) - 2 freq
kerrots (2) - 1 freq
arrows (2) - 4 freq
eross (2) - 1 freq
merro's (2) - 1 freq
nervous (3) - 73 freq
terrorism (3) - 3 freq
export (3) - 10 freq
errors (0) - 7 freq
error (2) - 16 freq
errows (2) - 1 freq
terrors (2) - 3 freq
werrers (3) - 1 freq
ejurors (3) - 1 freq
errs (3) - 1 freq
errour (3) - 1 freq
horrors (3) - 18 freq
errins (3) - 1 freq
arrows (3) - 4 freq
mirrors (3) - 24 freq
jurors (3) - 24 freq
err's (3) - 1 freq
torrs (4) - 2 freq
purrs (4) - 3 freq
terrs (4) - 1 freq
warriors (4) - 20 freq
rorys (4) - 1 freq
triers (4) - 2 freq
pryers (4) - 1 freq
serrs (4) - 5 freq
rrus (4) - 1 freq
kerries (4) - 8 freq
earrins (4) - 2 freq
SoundEx code - E662
errors - 7 freq
eurerjq - 1 freq
eiirhrcvw - 1 freq
MetaPhone code - ERRS
errors - 7 freq
ERRORS
Time to execute Levenshtein function - 0.321002 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 - 0.693814 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 - 0.062267 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 - 0.045228 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 - 0.000941 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.