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 innin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
innin (0) - 34 freq
hnnin (1) - 1 freq
linnin (1) - 2 freq
innit (1) - 10 freq
ennin (1) - 2 freq
finnin (1) - 40 freq
innins (1) - 16 freq
rinnin (1) - 330 freq
winnin (1) - 88 freq
ingin (1) - 18 freq
intin (1) - 2 freq
injin (1) - 33 freq
inkin (1) - 1 freq
sinnin (1) - 2 freq
inning (1) - 1 freq
pinnin (1) - 4 freq
tinnin (1) - 1 freq
birnin (2) - 2 freq
tannin (2) - 8 freq
annan (2) - 4 freq
ironin (2) - 8 freq
inns (2) - 8 freq
intil (2) - 549 freq
liinnin (2) - 1 freq
mindin (2) - 154 freq
innin (0) - 34 freq
ennin (1) - 2 freq
inning (2) - 1 freq
sinnin (2) - 2 freq
inkin (2) - 1 freq
pinnin (2) - 4 freq
annan (2) - 4 freq
onnen (2) - 2 freq
unenin (2) - 1 freq
injin (2) - 33 freq
tinnin (2) - 1 freq
nonin (2) - 1 freq
hnnin (2) - 1 freq
finnin (2) - 40 freq
linnin (2) - 2 freq
intin (2) - 2 freq
innins (2) - 16 freq
ingin (2) - 18 freq
winnin (2) - 88 freq
rinnin (2) - 330 freq
innit (2) - 10 freq
rinnie (3) - 1 freq
unkin (3) - 4 freq
hinnyin (3) - 1 freq
pinnie (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
INNIN
Time to execute Levenshtein function - 0.203889 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 - 0.351039 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 - 0.040605 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 - 0.054189 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 - 0.001080 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.