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 iona in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
iona (0) - 64 freq
izna (1) - 3 freq
ona (1) - 14 freq
ina (1) - 99 freq
fiona (1) - 42 freq
ion (1) - 1 freq
ions (1) - 3 freq
jona (1) - 1 freq
irna (1) - 22 freq
yona (1) - 12 freq
imna (1) - 1 freq
rona (1) - 3 freq
isna (1) - 390 freq
wona (1) - 1 freq
lona (1) - 1 freq
mona (1) - 7 freq
inna (1) - 19 freq
dona (1) - 1 freq
iota (1) - 2 freq
iowa (1) - 3 freq
sonya (2) - 4 freq
isnae (2) - 544 freq
bond (2) - 16 freq
lna (2) - 1 freq
lon (2) - 2 freq
iona (0) - 64 freq
ion (1) - 1 freq
yona (1) - 12 freq
ina (1) - 99 freq
ona (1) - 14 freq
on (2) - 18792 freq
eon (2) - 3 freq
ine (2) - 3 freq
oon (2) - 2 freq
onay (2) - 1 freq
nooa (2) - 1 freq
ena (2) - 16 freq
ony (2) - 2214 freq
na (2) - 788 freq
ino (2) - 2 freq
aon (2) - 4 freq
oni (2) - 1 freq
iin (2) - 2 freq
ana (2) - 143 freq
ioun (2) - 1 freq
uon (2) - 1 freq
one (2) - 748 freq
yon (2) - 1555 freq
oana (2) - 1 freq
ien (2) - 3 freq
SoundEx code - I500
in - 44358 freq
i'm - 1708 freq
'i'm - 124 freq
ina - 99 freq
i'no - 1 freq
im - 370 freq
inaw - 7 freq
iona - 64 freq
ian - 202 freq
'in - 53 freq
'iam - 1 freq
in' - 13 freq
iam - 2 freq
i-i'm - 1 freq
'im - 5 freq
iain - 49 freq
inna - 19 freq
iim - 2 freq
iime - 2 freq
ihon - 2 freq
inn - 29 freq
ime - 1 freq
inno - 197 freq
'im-how - 1 freq
ine - 3 freq
im' - 1 freq
iano - 1 freq
inwy - 1 freq
ioniae - 1 freq
ino - 2 freq
ineae - 1 freq
ien - 3 freq
inny - 3 freq
innywaey - 2 freq
iny - 6 freq
i'noo - 12 freq
i'een - 4 freq
-in - 2 freq
in- - 1 freq
inn' - 2 freq
'ian' - 1 freq
'ian - 3 freq
in'o - 1 freq
æin - 1 freq
€˜in - 18 freq
€™in - 46 freq
€œin - 18 freq
iyin - 1 freq
ioun - 1 freq
ion - 1 freq
 ime - 1 freq
€˜im - 5 freq
€™im - 8 freq
€œi'm - 2 freq
imno - 1 freq
innmo - 1 freq
€”in - 1 freq
ihm - 5 freq
iin - 2 freq
iÂ’m - 105 freq
imn - 2 freq
“i’m - 2 freq
innaa - 1 freq
inoo - 10 freq
‘i’m - 1 freq
‘i'm - 1 freq
iomaa - 1 freq
ima - 1 freq
iym - 2 freq
imo - 44 freq
ihnm - 1 freq
imho - 4 freq
iyam - 1 freq
“in - 1 freq
imma - 1 freq
imna - 1 freq
in'ae - 1 freq
i'm' - 1 freq
iah'm - 1 freq
“‘im’” - 1 freq
MetaPhone code - IN
in - 44358 freq
ina - 99 freq
i'no - 1 freq
inaw - 7 freq
iona - 64 freq
ian - 202 freq
'in - 53 freq
in' - 13 freq
iain - 49 freq
inna - 19 freq
inn - 29 freq
inno - 197 freq
ine - 3 freq
iano - 1 freq
inwy - 1 freq
ioniae - 1 freq
ino - 2 freq
ineae - 1 freq
ien - 3 freq
inny - 3 freq
iny - 6 freq
i'noo - 12 freq
i'een - 4 freq
-in - 2 freq
in- - 1 freq
inn' - 2 freq
'ian' - 1 freq
'ian - 3 freq
in'o - 1 freq
æin - 1 freq
€˜in - 18 freq
€™in - 46 freq
€œin - 18 freq
ioun - 1 freq
ion - 1 freq
€”in - 1 freq
iin - 2 freq
innaa - 1 freq
inoo - 10 freq
“in - 1 freq
in'ae - 1 freq
IONA
Time to execute Levenshtein function - 0.492553 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 - 0.901498 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 - 0.086448 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 - 0.099707 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 - 0.000808 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.