A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to áine in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
raine (2) - 1 freq
kline (2) - 1 freq
trine (2) - 2 freq
urine (2) - 2 freq
'fine (2) - 6 freq
fine (2) - 1603 freq
brine (2) - 8 freq
cline (2) - 4 freq
kine (2) - 101 freq
line (2) - 497 freq
swine (2) - 27 freq
reine (2) - 2 freq
eine (2) - 1 freq
qwine (2) - 2 freq
tine (2) - 4 freq
ovine (2) - 1 freq
qine (2) - 1 freq
aine (2) - 4 freq
mine (2) - 660 freq
hine (2) - 26 freq
'nine (2) - 2 freq
thine (2) - 15 freq
twine (2) - 21 freq
vine (2) - 25 freq
zine (2) - 2 freq
æin (3) - 1 freq
seine (4) - 2 freq
chine (4) - 2 freq
Éire (4) - 2 freq
spine (4) - 28 freq
diine (4) - 2 freq
duine (4) - 1 freq
maine (4) - 1 freq
bine (4) - 11 freq
stine (4) - 1 freq
whine (4) - 5 freq
shine (4) - 75 freq
crine (4) - 2 freq
opine (4) - 1 freq
miine (4) - 1 freq
dine (4) - 26 freq
caine (4) - 1 freq
ár (4) - 1 freq
ín (4) - 1 freq
ïn (4) - 481 freq
ön (4) - 2 freq
Ðyn (4) - 1 freq
á (4) - 4 freq
én (4) - 3 freq
æn (4) - 3 freq
SoundEx code - I500
in - 45098 freq
i'm - 1760 freq
'i'm - 127 freq
ina - 99 freq
i'no - 1 freq
im - 370 freq
inaw - 7 freq
iona - 125 freq
ian - 202 freq
'in - 54 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
in'ae - 13 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
in - 18 freq
iyin - 1 freq
ioun - 1 freq
ion - 1 freq
ime - 1 freq
im - 5 freq
im - 8 freq
i'm - 2 freq
imno - 1 freq
innmo - 1 freq
in - 1 freq
ihm - 5 freq
iin - 2 freq
i’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
i'm' - 1 freq
iah'm - 1 freq
“‘im’” - 1 freq
MetaPhone code - IN
in - 45098 freq
ina - 99 freq
i'no - 1 freq
inaw - 7 freq
iona - 125 freq
ian - 202 freq
'in - 54 freq
in' - 13 freq
iain - 49 freq
inna - 19 freq
inn - 29 freq
in'ae - 13 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
in - 18 freq
ioun - 1 freq
ion - 1 freq
in - 1 freq
iin - 2 freq
innaa - 1 freq
inoo - 10 freq
“in - 1 freq
ÁINE
Time to execute Levenshtein function - 0.209049 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 - 0.345029 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 - 0.030833 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 - 0.039166 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 - 0.000928 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.