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 puppetry in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
puppetry (0) - 2 freq
puppets (2) - 2 freq
puppet (2) - 14 freq
pepper (3) - 83 freq
pouppet (3) - 1 freq
poietry (3) - 3 freq
papery (3) - 1 freq
papper (3) - 1 freq
pipper (3) - 2 freq
€˜poetry (3) - 1 freq
'upper (3) - 1 freq
poyetry (3) - 5 freq
huppity (3) - 1 freq
poetry (3) - 260 freq
popper (3) - 3 freq
suppers (3) - 22 freq
supper (3) - 173 freq
popery (3) - 2 freq
poppets (3) - 1 freq
peppert (3) - 1 freq
musketry (3) - 1 freq
uppers (3) - 2 freq
uppity (3) - 6 freq
pouetry (3) - 1 freq
poppet (3) - 8 freq
puppetry (0) - 2 freq
puppet (3) - 14 freq
puppets (3) - 2 freq
puppeteer (3) - 1 freq
popper (4) - 3 freq
pipper (4) - 2 freq
poppets (4) - 1 freq
papper (4) - 1 freq
pepper (4) - 83 freq
poppet (4) - 8 freq
pouppet (4) - 1 freq
muppets (5) - 5 freq
poppt (5) - 3 freq
upper (5) - 55 freq
peppers (5) - 7 freq
vupper (5) - 1 freq
puppy (5) - 31 freq
pepperie (5) - 1 freq
pappit (5) - 1 freq
'poetry (5) - 1 freq
pouetry (5) - 1 freq
muppet (5) - 11 freq
wuppet (5) - 2 freq
poppers (5) - 2 freq
'upper (5) - 1 freq
SoundEx code - P136
poofter - 1 freq
puppetry - 2 freq
puppeteer - 1 freq
poofters - 1 freq
pipterino - 1 freq
MetaPhone code - PPTR
puppetry - 2 freq
puppeteer - 1 freq
PUPPETRY
Time to execute Levenshtein function - 0.237380 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 - 0.374240 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 - 0.039662 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 - 0.050288 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 - 0.001147 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.