A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to item in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
item (0) - 17 freq
ite (1) - 3 freq
itet (1) - 1 freq
stem (1) - 18 freq
items (1) - 21 freq
ihe (2) - 2 freq
yte (2) - 1 freq
poem (2) - 357 freq
stei (2) - 6 freq
it'' (2) - 1 freq
ices (2) - 2 freq
itup (2) - 1 freq
teu (2) - 29 freq
xoem (2) - 1 freq
itn (2) - 2 freq
ice (2) - 254 freq
iti (2) - 1 freq
inter (2) - 2 freq
chem (2) - 1 freq
ileum (2) - 1 freq
teh (2) - 1 freq
enem (2) - 2 freq
tee (2) - 165 freq
kttm (2) - 1 freq
ahem (2) - 12 freq
item (0) - 17 freq
teum (2) - 8 freq
tim (2) - 46 freq
tam (2) - 519 freq
teem (2) - 46 freq
tom (2) - 134 freq
atm (2) - 3 freq
tm (2) - 7 freq
tym (2) - 2 freq
tum (2) - 17 freq
atom (2) - 5 freq
itet (2) - 1 freq
team (2) - 292 freq
items (2) - 21 freq
ite (2) - 3 freq
stem (2) - 18 freq
tmi (3) - 1 freq
naem (3) - 48 freq
tyme (3) - 219 freq
bem (3) - 1 freq
vem (3) - 1 freq
sem (3) - 1 freq
itz (3) - 2 freq
aem (3) - 1 freq
saem (3) - 4 freq
SoundEx code - I350
iodine - 4 freq
itn - 2 freq
'ithin - 2 freq
item - 17 freq
itan - 1 freq
idiom - 9 freq
ithin - 124 freq
i'time - 22 freq
i'toon - 8 freq
i'don - 1 freq
i'ythan - 1 freq
idunn - 1 freq
€˜ithin - 3 freq
iden - 2 freq
Èideann - 1 freq
MetaPhone code - ITM
item - 17 freq
idiom - 9 freq
i'time - 22 freq
ITEM
Time to execute Levenshtein function - 0.216987 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 - 0.346192 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 - 0.030565 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 - 0.037612 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 - 0.000839 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.