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 cedar in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
cedar (0) - 4 freq
cedars (1) - 1 freq
cesar (1) - 2 freq
kedar (1) - 1 freq
ledar (1) - 1 freq
cedk (2) - 1 freq
velar (2) - 7 freq
pedal (2) - 6 freq
dear (2) - 425 freq
coda (2) - 3 freq
bedad (2) - 1 freq
eday (2) - 5 freq
caesar (2) - 17 freq
year (2) - 2073 freq
mear (2) - 3 freq
bedae (2) - 1 freq
ladar (2) - 1 freq
cigar (2) - 19 freq
sear (2) - 2 freq
nevar (2) - 1 freq
ceegar (2) - 1 freq
medal (2) - 23 freq
tear (2) - 103 freq
rear (2) - 29 freq
ceded (2) - 1 freq
cedar (0) - 4 freq
ledar (2) - 1 freq
kedar (2) - 1 freq
cider (2) - 38 freq
cesar (2) - 2 freq
cedars (2) - 1 freq
cesare (3) - 1 freq
cede (3) - 1 freq
caar (3) - 1 freq
zadar (3) - 4 freq
cfar (3) - 1 freq
edr (3) - 1 freq
car (3) - 413 freq
dar (3) - 86 freq
cupar (3) - 5 freq
char (3) - 2 freq
clear (3) - 492 freq
cebr (3) - 1 freq
cer (3) - 1 freq
coar (3) - 3 freq
ceded (3) - 1 freq
radar (3) - 11 freq
ceoor (3) - 1 freq
ladar (3) - 1 freq
cigar (3) - 19 freq
SoundEx code - C360
cater - 5 freq
cedar - 4 freq
cider - 38 freq
cheddar - 6 freq
chitter - 14 freq
chatter - 14 freq
cotter - 3 freq
cawdor - 1 freq
cheatrie - 1 freq
cheater - 1 freq
cutter - 5 freq
catter - 16 freq
catrry - 1 freq
cottar - 28 freq
cither - 1 freq
cetera - 1 freq
'cider - 1 freq
cider' - 1 freq
chowder - 1 freq
chitterie - 1 freq
coutar - 1 freq
cawther - 1 freq
€˜cotter - 1 freq
ceterae - 1 freq
cattiewurrie - 1 freq
cawdour - 1 freq
caw-throu - 1 freq
coothier - 2 freq
cuiter - 1 freq
cattery - 8 freq
couture - 1 freq
cowdary - 1 freq
cuter - 1 freq
chatrie - 1 freq
chittery - 1 freq
MetaPhone code - STR
stair - 176 freq
stoor - 102 freq
stare - 71 freq
story - 727 freq
steer - 118 freq
store - 79 freq
stoorie - 21 freq
soutar - 39 freq
stir - 19 freq
cedar - 4 freq
stour - 101 freq
stuir - 4 freq
sture - 6 freq
hysteria - 9 freq
sotter - 34 freq
straa - 9 freq
strae - 102 freq
cider - 38 freq
star - 259 freq
stray - 30 freq
steir - 22 freq
storie - 28 freq
stereo - 7 freq
stairy - 1 freq
seatter - 1 freq
stourie - 13 freq
straw - 27 freq
straiy - 1 freq
syder - 5 freq
stoary - 1 freq
stoar - 1 freq
stare' - 1 freq
sadder - 5 freq
satire - 15 freq
stoory - 19 freq
stur - 3 freq
souter - 9 freq
sottar - 10 freq
staere - 1 freq
star' - 2 freq
starrie - 5 freq
'steer - 1 freq
storey - 4 freq
starry - 7 freq
strew - 1 freq
hïstrie - 8 freq
sterr - 11 freq
cetera - 1 freq
see-trou - 1 freq
'cider - 1 freq
cider' - 1 freq
'star - 1 freq
setter - 4 freq
stra - 1 freq
stoury - 5 freq
ster - 3 freq
'stair' - 1 freq
satyr - 1 freq
-ster - 1 freq
staur - 3 freq
souder - 1 freq
steerie - 2 freq
'stour' - 1 freq
straue - 1 freq
ceterae - 1 freq
stere - 1 freq
strow - 1 freq
zadar - 4 freq
str - 1 freq
story- - 1 freq
steery - 1 freq
sottery - 1 freq
hsitory - 1 freq
stouer - 1 freq
seater - 1 freq
zodr - 1 freq
stree - 1 freq
‘star’ - 1 freq
sitter - 1 freq
xtra - 5 freq
satyre - 1 freq
CEDAR
Time to execute Levenshtein function - 0.272607 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 - 0.462178 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 - 0.031353 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 - 0.045987 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 - 0.001104 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.