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 forrin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
forrin (0) - 6 freq
furrin (1) - 7 freq
formin (1) - 16 freq
forgin (1) - 1 freq
forrid (1) - 1 freq
forrit (1) - 527 freq
forkin (1) - 7 freq
fortin (1) - 1 freq
forran (1) - 1 freq
borrin (1) - 1 freq
forcin (1) - 20 freq
fornin (1) - 1 freq
torrid (2) - 1 freq
borrit (2) - 1 freq
foamin (2) - 4 freq
foalin (2) - 1 freq
fortuin (2) - 3 freq
morvin (2) - 2 freq
yorlin (2) - 12 freq
earrin (2) - 1 freq
forcit (2) - 2 freq
forman (2) - 13 freq
hoorin (2) - 3 freq
tirrin (2) - 3 freq
fourdin (2) - 1 freq
forrin (0) - 6 freq
forran (1) - 1 freq
furrin (1) - 7 freq
borrin (2) - 1 freq
fornin (2) - 1 freq
furran (2) - 1 freq
ferryin (2) - 2 freq
forcin (2) - 20 freq
forgin (2) - 1 freq
fortin (2) - 1 freq
forrid (2) - 1 freq
formin (2) - 16 freq
forrit (2) - 527 freq
forkin (2) - 7 freq
forrad (3) - 5 freq
furrie (3) - 1 freq
feerin (3) - 1 freq
fearin (3) - 4 freq
fartin (3) - 10 freq
tarrin (3) - 1 freq
fyrein (3) - 1 freq
merrin (3) - 1 freq
furmin (3) - 1 freq
forres (3) - 3 freq
ferric (3) - 1 freq
SoundEx code - F650
form - 288 freq
from - 582 freq
ferm - 340 freq
firm - 67 freq
freen - 218 freq
freein - 3 freq
frame - 61 freq
frien - 61 freq
fairm - 120 freq
forran - 1 freq
frein - 36 freq
froun - 5 freq
furrin - 7 freq
firin - 29 freq
froon - 8 freq
farin - 10 freq
fryin - 15 freq
fairin - 13 freq
form' - 2 freq
'freen' - 2 freq
fern - 4 freq
farm - 28 freq
froin - 1 freq
ferryin - 2 freq
fyrein - 1 freq
fearin - 4 freq
'frien - 1 freq
forum - 33 freq
froma - 1 freq
fran - 1 freq
furm - 20 freq
'freen - 1 freq
frien' - 1 freq
faerin - 1 freq
fairm' - 1 freq
frown - 5 freq
feerin - 1 freq
freen' - 2 freq
forrin - 6 freq
forenön - 1 freq
'from' - 1 freq
'frim - 1 freq
foarm - 66 freq
fore-en - 2 freq
forehan - 4 freq
far-han - 2 freq
fremm - 5 freq
fur'm - 1 freq
fermi - 5 freq
furrowin - 1 freq
fram - 1 freq
freehaun - 1 freq
forhooiein - 2 freq
fairnie - 30 freq
fourmi - 1 freq
fire-new - 1 freq
furran - 1 freq
feirm - 4 freq
frem - 2 freq
furein - 1 freq
furin - 1 freq
fore-a-haun - 1 freq
franny - 3 freq
furrum - 1 freq
frim - 1 freq
€˜from - 1 freq
fuar'n - 2 freq
fernie - 1 freq
firinÂ’ - 1 freq
foran - 1 freq
ferim - 1 freq
for nou - 1 freq
MetaPhone code - FRN
freen - 218 freq
freein - 3 freq
frien - 61 freq
forran - 1 freq
frein - 36 freq
froun - 5 freq
furrin - 7 freq
firin - 29 freq
froon - 8 freq
farin - 10 freq
fairin - 13 freq
'freen' - 2 freq
fern - 4 freq
foreign - 67 freq
froin - 1 freq
fyrein - 1 freq
fearin - 4 freq
'frien - 1 freq
fran - 1 freq
'freen - 1 freq
frien' - 1 freq
faerin - 1 freq
frown - 5 freq
feerin - 1 freq
freen' - 2 freq
forrin - 6 freq
fore-en - 2 freq
'foreign' - 1 freq
fairnie - 30 freq
furreign - 6 freq
fire-new - 1 freq
furran - 1 freq
furein - 1 freq
furin - 1 freq
franny - 3 freq
€žforeign - 1 freq
veerin - 1 freq
fuar'n - 2 freq
fernie - 1 freq
firinÂ’ - 1 freq
foran - 1 freq
voorn - 1 freq
for nou - 1 freq
FORRIN
Time to execute Levenshtein function - 0.188450 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 - 0.347275 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 - 0.028261 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 - 0.036807 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 - 0.000825 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.