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 joliv in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
joliv (0) - 3 freq
gliv (2) - 1 freq
cliv (2) - 1 freq
jolly (2) - 19 freq
olav (2) - 1 freq
josie (2) - 18 freq
joni (2) - 3 freq
goliev (2) - 1 freq
jowin (2) - 4 freq
jokin (2) - 46 freq
folio (2) - 1 freq
jslv (2) - 1 freq
jylin (2) - 1 freq
jolt (2) - 7 freq
joris (2) - 1 freq
joltin (2) - 2 freq
holie (2) - 10 freq
jobie (2) - 1 freq
polis (2) - 264 freq
olivy (2) - 1 freq
jovi (2) - 1 freq
rolis (2) - 1 freq
julie (2) - 29 freq
holin (2) - 2 freq
jorim (2) - 3 freq
joliv (0) - 3 freq
olivy (3) - 1 freq
jolt (3) - 7 freq
jylin (3) - 1 freq
julie (3) - 29 freq
olive (3) - 16 freq
liv (3) - 12 freq
julia (3) - 2 freq
jojv (3) - 1 freq
jslv (3) - 1 freq
jovi (3) - 1 freq
goliev (3) - 1 freq
jolly (3) - 19 freq
cliv (3) - 1 freq
olav (3) - 1 freq
gliv (3) - 1 freq
solve (4) - 9 freq
jools (4) - 1 freq
belive (4) - 2 freq
ilev (4) - 1 freq
jeelit (4) - 2 freq
luiv (4) - 7 freq
relive (4) - 1 freq
julai (4) - 2 freq
jyle (4) - 47 freq
SoundEx code - J410
jallopy - 4 freq
jallop - 1 freq
jeelip - 2 freq
joliv - 3 freq
jalopy - 1 freq
jslv - 1 freq
MetaPhone code - JLF
joliv - 3 freq
JOLIV
Time to execute Levenshtein function - 0.613298 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 - 0.983633 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 - 0.027610 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 - 0.073048 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 - 0.000889 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.