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 poofter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
poofter (0) - 1 freq
pooter (1) - 1 freq
poofters (1) - 1 freq
pooster (1) - 5 freq
toolter (2) - 1 freq
poster (2) - 24 freq
poocher (2) - 2 freq
poostir (2) - 1 freq
pooper (2) - 1 freq
porter (2) - 14 freq
plowter (2) - 6 freq
poodher (2) - 1 freq
crofter (2) - 4 freq
tooter (2) - 4 freq
pooer (2) - 161 freq
potter (2) - 29 freq
plooter (2) - 1 freq
coonter (2) - 72 freq
poorer (2) - 5 freq
dooter (2) - 3 freq
sooster (2) - 1 freq
poother (2) - 5 freq
plotter (2) - 1 freq
propter (2) - 1 freq
booster (2) - 3 freq
poofter (0) - 1 freq
poofters (2) - 1 freq
pooster (2) - 5 freq
pooter (2) - 1 freq
potter (3) - 29 freq
plooter (3) - 1 freq
porter (3) - 14 freq
softer (3) - 4 freq
poster (3) - 24 freq
footer (3) - 14 freq
poostir (3) - 1 freq
pelter (4) - 1 freq
ifter (4) - 1 freq
safter (4) - 10 freq
footery (4) - 6 freq
'efter (4) - 5 freq
lafter (4) - 1 freq
ploitery (4) - 1 freq
pitter (4) - 2 freq
picter (4) - 89 freq
eifter (4) - 3 freq
patter (4) - 56 freq
pester (4) - 2 freq
dafter (4) - 6 freq
aifter (4) - 343 freq
SoundEx code - P136
poofter - 1 freq
puppetry - 2 freq
puppeteer - 1 freq
poofters - 1 freq
pipterino - 1 freq
MetaPhone code - PFTR
poofter - 1 freq
POOFTER
Time to execute Levenshtein function - 0.206213 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 - 0.357854 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 - 0.028488 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 - 0.039023 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 - 0.000890 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.