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 onby in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
onby (0) - 1 freq
onny (1) - 3 freq
onay (1) - 1 freq
oney (1) - 15 freq
ony (1) - 2222 freq
only (1) - 1876 freq
oncy (1) - 4 freq
onty (1) - 3 freq
inby (1) - 69 freq
eny (2) - 7 freq
on- (2) - 3 freq
bnb (2) - 1 freq
one (2) - 766 freq
on's (2) - 4 freq
onwye (2) - 4 freq
ojly (2) - 1 freq
by (2) - 4600 freq
honey (2) - 413 freq
nhy (2) - 1 freq
toney (2) - 1 freq
obe (2) - 2 freq
loaby (2) - 3 freq
boaby (2) - 6 freq
gonny (2) - 17 freq
obey (2) - 8 freq
onby (0) - 1 freq
inby (1) - 69 freq
nb (2) - 4 freq
onyb (2) - 1 freq
inbi (2) - 1 freq
inbye (2) - 66 freq
onty (2) - 3 freq
inaby (2) - 2 freq
onay (2) - 1 freq
onny (2) - 3 freq
oncy (2) - 4 freq
oney (2) - 15 freq
only (2) - 1876 freq
ony (2) - 2222 freq
onti (3) - 8 freq
otb (3) - 1 freq
ootby (3) - 128 freq
iny (3) - 6 freq
omb (3) - 3 freq
enjy (3) - 2 freq
dounby (3) - 3 freq
ny (3) - 8 freq
nob (3) - 1 freq
nbs (3) - 1 freq
onta (3) - 2 freq
SoundEx code - O510
onfaw - 4 freq
oonhappy - 1 freq
oomph - 4 freq
oompa - 1 freq
onhappie - 1 freq
one-aff - 1 freq
omb - 3 freq
onby - 1 freq
onieb - 1 freq
onyb - 1 freq
onafi - 1 freq
ohhomaob - 1 freq
MetaPhone code - ONB
onby - 1 freq
onieb - 1 freq
onyb - 1 freq
ONBY
Time to execute Levenshtein function - 0.213305 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 - 0.676030 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 - 0.076300 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 - 0.087100 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 - 0.000904 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.