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 sorner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
sorner (0) - 3 freq
sooner (1) - 29 freq
corner (1) - 324 freq
horner (1) - 2 freq
sorners (1) - 2 freq
joiner (2) - 14 freq
sorny (2) - 2 freq
soccer (2) - 4 freq
toner (2) - 1 freq
sores (2) - 3 freq
sower (2) - 1 freq
turner (2) - 8 freq
solder (2) - 2 freq
sorn (2) - 28 freq
dormer (2) - 2 freq
sorr (2) - 1 freq
porter (2) - 14 freq
borne (2) - 13 freq
sored (2) - 1 freq
sortet (2) - 4 freq
owner (2) - 28 freq
sarne (2) - 1 freq
sortir (2) - 1 freq
sojer (2) - 23 freq
sodjer (2) - 7 freq
sorner (0) - 3 freq
sooner (2) - 29 freq
horner (2) - 2 freq
sorners (2) - 2 freq
corner (2) - 324 freq
ornar (3) - 4 freq
warner (3) - 1 freq
mourner (3) - 2 freq
sorcery (3) - 1 freq
hornier (3) - 1 freq
shoner (3) - 1 freq
coarner (3) - 47 freq
suner (3) - 3 freq
suiner (3) - 27 freq
shaner (3) - 3 freq
server (3) - 2 freq
rouner (3) - 2 freq
coroner (3) - 3 freq
siner (3) - 1 freq
shuner (3) - 1 freq
spooner (3) - 1 freq
sonar (3) - 1 freq
shiner (3) - 3 freq
earner (3) - 2 freq
seener (3) - 14 freq
SoundEx code - S656
shirramuir - 2 freq
sorner - 3 freq
share-owners - 1 freq
sorners - 2 freq
screenwriter - 1 freq
shirramair - 1 freq
scharnhorst - 1 freq
sherramuir - 1 freq
sarahmurphy - 1 freq
MetaPhone code - SRNR
sorner - 3 freq
SORNER
Time to execute Levenshtein function - 0.234266 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 - 0.387638 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 - 0.031937 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 - 0.037190 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 - 0.000895 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.