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 inane in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
inane (0) - 2 freq
nane (1) - 547 freq
inate (1) - 1 freq
'nane (1) - 5 freq
insane (1) - 8 freq
alane (2) - 273 freq
finance (2) - 14 freq
lane (2) - 240 freq
irate (2) - 1 freq
ingine (2) - 33 freq
fane (2) - 1 freq
ingate (2) - 4 freq
€œnane (2) - 3 freq
t'ane (2) - 1 freq
slane (2) - 1 freq
winae (2) - 2 freq
inner (2) - 46 freq
linne (2) - 1 freq
abane (2) - 28 freq
nave (2) - 1 freq
snape (2) - 1 freq
innate (2) - 3 freq
'nance (2) - 1 freq
nyne (2) - 4 freq
ingle (2) - 29 freq
inane (0) - 2 freq
nane (1) - 547 freq
nani (2) - 1 freq
inny (2) - 3 freq
nyne (2) - 4 freq
nana (2) - 11 freq
onyane (2) - 13 freq
none (2) - 57 freq
inna (2) - 19 freq
anne (2) - 77 freq
nine (2) - 234 freq
insane (2) - 8 freq
'nane (2) - 5 freq
inate (2) - 1 freq
nne (2) - 1 freq
inno (2) - 197 freq
nan (2) - 14 freq
inn (2) - 29 freq
'nae (3) - 94 freq
irnae (3) - 23 freq
naun (3) - 1 freq
tane (3) - 175 freq
sane (3) - 6 freq
intue (3) - 1 freq
'nine (3) - 2 freq
SoundEx code - I550
innin - 34 freq
immune - 6 freq
innimy - 1 freq
i'meen - 6 freq
i'man - 1 freq
i'mannie - 6 freq
inane - 2 freq
inimy - 1 freq
inn-man - 1 freq
inemy - 8 freq
inimie - 2 freq
inion - 1 freq
ianhm - 1 freq
MetaPhone code - INN
innin - 34 freq
inane - 2 freq
inion - 1 freq
INANE
Time to execute Levenshtein function - 0.213331 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 - 0.363312 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 - 0.029537 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 - 0.039338 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 - 0.000958 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.