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 rose-tree in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
rose-tree (0) - 18 freq
rosetree (1) - 1 freq
roof-tree (2) - 1 freq
rose-rid (3) - 1 freq
rose-bed (3) - 1 freq
lime-tree (3) - 1 freq
cost-free (3) - 1 freq
rosette (3) - 5 freq
rose-fite (3) - 1 freq
dule-tree (3) - 1 freq
-tree (4) - 1 freq
twae-three (4) - 6 freq
reek-free (4) - 1 freq
rose-hip (4) - 1 freq
mense-free (4) - 1 freq
mostlee (4) - 1 freq
poetre (4) - 1 freq
poiïtree (4) - 6 freq
rose-bush (4) - 1 freq
settee (4) - 30 freq
rosebed (4) - 1 freq
sor-ree (4) - 2 freq
referee (4) - 15 freq
epple-tree (4) - 1 freq
resented (4) - 1 freq
rose-tree (0) - 18 freq
rosetree (2) - 1 freq
roof-tree (3) - 1 freq
rosette (5) - 5 freq
dule-tree (5) - 1 freq
rose-fite (5) - 1 freq
lime-tree (5) - 1 freq
rose-rid (5) - 1 freq
rose-bed (5) - 1 freq
aiple-tree (6) - 1 freq
fig-tree (6) - 3 freq
rostrum (6) - 1 freq
rosewatter (6) - 1 freq
fir-tree (6) - 3 freq
ruif-trees (6) - 1 freq
roset (6) - 2 freq
sentiree (6) - 1 freq
stree (6) - 1 freq
restore (6) - 9 freq
rustier (6) - 1 freq
see-trou (6) - 1 freq
roaster (6) - 17 freq
aik-tree (6) - 3 freq
twa-tree (6) - 1 freq
nostre (6) - 1 freq
SoundEx code - R236
rose-tree - 18 freq
ragged-trousered - 2 freq
restaurant - 28 freq
re-stringin - 1 freq
restorative - 3 freq
rasther - 1 freq
rostert - 2 freq
roasters - 8 freq
restored - 11 freq
restoration - 7 freq
restaurants - 16 freq
rooster - 18 freq
rachters - 1 freq
restore - 9 freq
restraint - 5 freq
restores - 2 freq
rostrum - 1 freq
rector - 4 freq
restorin - 3 freq
restrictions - 19 freq
restrained - 3 freq
restrain - 2 freq
restaurant's - 1 freq
roostèr - 3 freq
'restrictive - 1 freq
rosetree - 1 freq
roosters - 3 freq
restaurit - 1 freq
resteraunt - 1 freq
Þrastardóttir - 2 freq
restorin' - 1 freq
re-stairtet - 1 freq
restairt - 2 freq
'restored' - 1 freq
roisterous - 1 freq
restrick - 1 freq
raughters - 3 freq
restoring - 1 freq
restrictit - 4 freq
reciters - 1 freq
restrickit - 5 freq
restaurautioun - 2 freq
rauchters - 1 freq
rocketry - 1 freq
ressettaris - 1 freq
reactor - 2 freq
richter - 3 freq
restricted - 1 freq
roisterin - 1 freq
restricks - 1 freq
€˜restrict - 1 freq
raughter - 1 freq
ragstore - 1 freq
restrict - 1 freq
rosewatter - 1 freq
restoret - 1 freq
restrictin - 2 freq
restraints - 1 freq
righttreat - 1 freq
richters - 1 freq
rickedwards - 2 freq
rockster - 1 freq
restreections - 2 freq
restraunts - 1 freq
rustier - 1 freq
roketronnie - 1 freq
restrictive - 1 freq
roaster - 17 freq
rctrajn - 1 freq
restarted - 1 freq
MetaPhone code - RSTR
rose-tree - 18 freq
rooster - 18 freq
restore - 9 freq
roostèr - 3 freq
rosetree - 1 freq
rustier - 1 freq
roaster - 17 freq
ROSE-TREE
Time to execute Levenshtein function - 0.198358 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 - 0.393482 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 - 0.027710 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 - 0.036972 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 - 0.000938 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.