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 puma in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
puma (0) - 2 freq
puka (1) - 1 freq
pupa (1) - 1 freq
duma (1) - 1 freq
pum (1) - 3 freq
prma (1) - 1 freq
pima (1) - 1 freq
pump (1) - 29 freq
cama (2) - 1 freq
pom (2) - 20 freq
puld (2) - 6 freq
tum (2) - 17 freq
pumpt (2) - 1 freq
puer (2) - 1 freq
loma (2) - 2 freq
tumt (2) - 1 freq
ua (2) - 3 freq
cuman (2) - 2 freq
plume (2) - 7 freq
cumd (2) - 1 freq
puur (2) - 1 freq
mma (2) - 3 freq
sumg (2) - 1 freq
fum (2) - 1 freq
coma (2) - 13 freq
puma (0) - 2 freq
pima (1) - 1 freq
pum (1) - 3 freq
ipma (2) - 1 freq
pm (2) - 124 freq
pam (2) - 5 freq
pome (2) - 6 freq
pom (2) - 20 freq
pump (2) - 29 freq
pupa (2) - 1 freq
puka (2) - 1 freq
duma (2) - 1 freq
prma (2) - 1 freq
paum (2) - 2 freq
pomp (3) - 2 freq
pus (3) - 14 freq
pba (3) - 1 freq
rumi (3) - 3 freq
puid (3) - 1 freq
pisa (3) - 1 freq
paa (3) - 12 freq
lima (3) - 2 freq
cum (3) - 641 freq
put (3) - 544 freq
puol (3) - 1 freq
SoundEx code - P500
penn - 4 freq
pownie - 25 freq
pu'in' - 1 freq
pane - 17 freq
pain - 240 freq
peeny - 13 freq
pan - 137 freq
peyin - 75 freq
piano - 13 freq
peen - 12 freq
pouin - 32 freq
poem - 357 freq
pun - 59 freq
paum - 2 freq
pyne - 25 freq
pu'in - 8 freq
poun - 81 freq
phone - 500 freq
pine - 23 freq
pin - 35 freq
'phone - 2 freq
payin - 29 freq
penny - 130 freq
pen - 119 freq
pony - 12 freq
pawn - 10 freq
peenie - 24 freq
p''m - 1 freq
pm - 124 freq
pianae - 7 freq
piana - 10 freq
pyin - 11 freq
penne - 5 freq
poon - 2 freq
pima - 1 freq
powen - 8 freq
pam - 5 freq
phonie - 1 freq
pinnie - 2 freq
powin - 4 freq
paan - 3 freq
paiyen - 1 freq
peyen - 1 freq
poyum - 9 freq
phoney - 1 freq
puny - 1 freq
pinna - 1 freq
puein - 2 freq
pome - 6 freq
paine - 5 freq
piyin - 2 freq
payan - 1 freq
puin - 6 freq
puni - 25 freq
peein - 2 freq
pennie - 6 freq
pun' - 1 freq
paawin - 1 freq
phony - 2 freq
pee-heein - 2 freq
powny - 7 freq
phone' - 1 freq
powen' - 2 freq
paean - 2 freq
peene - 1 freq
poyem - 13 freq
pian - 1 freq
piain - 1 freq
pïn - 1 freq
pom - 20 freq
'pom - 1 freq
poohin - 1 freq
pann - 1 freq
peyan - 1 freq
pinny - 7 freq
peony - 3 freq
pum - 3 freq
payne - 18 freq
poame - 1 freq
punn - 4 freq
pianie - 22 freq
pen' - 1 freq
pown - 3 freq
pon - 3 freq
pooin - 5 freq
poyim - 3 freq
€œpan - 1 freq
payn - 1 freq
phemie - 2 freq
phem - 1 freq
puuin - 1 freq
pawin - 3 freq
p-pain - 1 freq
puma - 2 freq
€™penny - 2 freq
phon - 1 freq
punny - 2 freq
€˜pum - 1 freq
€¦pum - 2 freq
pino - 1 freq
pn - 4 freq
penny- - 3 freq
penny-a - 1 freq
ponny - 1 freq
poona - 1 freq
poon' - 2 freq
poiïm - 3 freq
powney - 5 freq
piyin' - 1 freq
pbpny - 1 freq
pm- - 1 freq
pnii - 1 freq
pfonw - 1 freq
‘powny’ - 2 freq
phunny - 1 freq
poem' - 1 freq
pmn - 1 freq
pbahmew - 1 freq
MetaPhone code - PM
poem - 357 freq
paum - 2 freq
p''m - 1 freq
pm - 124 freq
pamby - 1 freq
pima - 1 freq
pam - 5 freq
pome - 6 freq
pom - 20 freq
'pom - 1 freq
pum - 3 freq
poame - 1 freq
puma - 2 freq
€˜pum - 1 freq
€¦pum - 2 freq
poiïm - 3 freq
pm- - 1 freq
ypm - 2 freq
poem' - 1 freq
PUMA
Time to execute Levenshtein function - 0.210825 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 - 0.343065 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 - 0.027375 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 - 0.037139 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 - 0.000839 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.