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 kebab in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
kebab (0) - 6 freq
kebabs (1) - 3 freq
keb (2) - 2 freq
kerav (2) - 1 freq
kebab” (2) - 1 freq
kabb (2) - 1 freq
kedar (2) - 1 freq
kenan (2) - 3 freq
bab (2) - 13 freq
feba (2) - 1 freq
ebb (2) - 27 freq
kerb (2) - 6 freq
kyoab (2) - 1 freq
rebat (2) - 5 freq
ebay (2) - 6 freq
rehab (2) - 1 freq
webb (2) - 1 freq
knoab (2) - 1 freq
debs (3) - 1 freq
cbb (3) - 4 freq
ena (3) - 16 freq
seaf (3) - 1 freq
kemp (3) - 46 freq
seya (3) - 1 freq
bas (3) - 9 freq
kebab (0) - 6 freq
kebabs (2) - 3 freq
kabb (2) - 1 freq
kerb (3) - 6 freq
ebb (3) - 27 freq
knoab (3) - 1 freq
bab (3) - 13 freq
webb (3) - 1 freq
kyoab (3) - 1 freq
keb (3) - 2 freq
kubby (3) - 1 freq
abbay (4) - 1 freq
knob (4) - 12 freq
nabob (4) - 1 freq
hobb (4) - 1 freq
rbib (4) - 1 freq
kebbok (4) - 1 freq
bib (4) - 8 freq
kirb (4) - 1 freq
babe (4) - 11 freq
bebe (4) - 3 freq
boba (4) - 2 freq
ktb (4) - 1 freq
ibebb (4) - 1 freq
kneb (4) - 1 freq
SoundEx code - K110
kebab - 6 freq
keepie-uppie - 2 freq
kbip - 1 freq
kebab” - 1 freq
MetaPhone code - KBB
kebab - 6 freq
kebab” - 1 freq
KEBAB
Time to execute Levenshtein function - 0.205923 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 - 0.346809 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 - 0.027351 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 - 0.037247 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 - 0.000849 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.