A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to pooster in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pooster (0) - 5 freq
poofter (1) - 1 freq
rooster (1) - 18 freq
wooster (1) - 1 freq
sooster (1) - 1 freq
posster (1) - 1 freq
booster (1) - 3 freq
poostir (1) - 1 freq
pooter (1) - 1 freq
poster (1) - 24 freq
bouster (2) - 1 freq
poosies (2) - 9 freq
pooper (2) - 1 freq
gowster (2) - 2 freq
houster (2) - 1 freq
padster (2) - 1 freq
posted (2) - 21 freq
coster (2) - 1 freq
monster (2) - 52 freq
poo'er (2) - 8 freq
possters (2) - 1 freq
pooshen (2) - 1 freq
poocher (2) - 2 freq
folster (2) - 1 freq
foster (2) - 19 freq
pooster (0) - 5 freq
poster (1) - 24 freq
poostir (1) - 1 freq
pooter (2) - 1 freq
pester (2) - 2 freq
booster (2) - 3 freq
peester (2) - 3 freq
poofter (2) - 1 freq
posster (2) - 1 freq
rooster (2) - 18 freq
sooster (2) - 1 freq
wooster (2) - 1 freq
moister (3) - 7 freq
poostie (3) - 1 freq
palooster (3) - 2 freq
plaster (3) - 14 freq
plister (3) - 1 freq
porter (3) - 14 freq
poser (3) - 2 freq
coaster (3) - 18 freq
potter (3) - 29 freq
pastur (3) - 5 freq
oyster (3) - 23 freq
plooter (3) - 1 freq
oxster (3) - 4 freq
SoundEx code - P236
pictur - 89 freq
picter - 89 freq
picters - 44 freq
pictures - 79 freq
picture - 178 freq
pictured - 6 freq
picturs - 61 freq
posters - 30 freq
picturin - 1 freq
pictoors - 1 freq
pikit-weer - 1 freq
pesterin - 2 freq
pastur - 5 freq
pestered - 1 freq
pictirs - 3 freq
poster - 24 freq
picturesque - 3 freq
posterior - 1 freq
pasture - 11 freq
pasturage - 1 freq
pictur't - 1 freq
pgutterin - 1 freq
pictur'd - 3 freq
picturd - 3 freq
picturl - 1 freq
pastry - 9 freq
pesteren - 1 freq
pcterhecd - 1 freq
pict'res - 4 freq
posture - 9 freq
post-war - 5 freq
pictur-hoose - 1 freq
post-traumatic - 1 freq
pishwater - 6 freq
pishwatrer - 1 freq
pictér-hoose - 1 freq
pictér-maps - 1 freq
pick-daark - 2 freq
picturt - 2 freq
picture's - 2 freq
post-weir - 4 freq
posterity'll - 1 freq
posterity - 8 freq
pictired - 2 freq
pictir - 19 freq
pastoral - 6 freq
pastures - 4 freq
postwar - 3 freq
peester - 3 freq
'picturesque - 1 freq
post-world - 2 freq
pasturs - 1 freq
pictèrs - 1 freq
pictèr - 3 freq
pousters - 1 freq
pestering - 1 freq
piktirs - 2 freq
piktir - 1 freq
poostir - 1 freq
picture-hoose - 1 freq
possters - 1 freq
posster - 1 freq
pasteurella - 1 freq
pooster - 5 freq
piestir - 1 freq
posturin - 1 freq
pictered - 2 freq
pastor - 1 freq
pea-shooters - 1 freq
pastries - 1 freq
postrum - 1 freq
pictur-hooses - 1 freq
picter-pretty - 1 freq
pester - 2 freq
pictorum - 1 freq
picturing - 1 freq
post-reformation - 1 freq
picterin - 1 freq
pikters - 1 freq
postures - 2 freq
picturet - 2 freq
post-euref - 1 freq
posterbairn - 1 freq
picter-hoose - 1 freq
post-trow - 1 freq
peesterleeties - 1 freq
post-weer - 1 freq
€œpicters - 1 freq
pikter - 1 freq
pbksgjhtrv - 1 freq
pickters - 1 freq
pishywadder - 1 freq
pictaura - 1 freq
pixtur - 1 freq
MetaPhone code - PSTR
pastur - 5 freq
poster - 24 freq
pasture - 11 freq
pastry - 9 freq
posture - 9 freq
peester - 3 freq
poostir - 1 freq
posster - 1 freq
pooster - 5 freq
piestir - 1 freq
pastor - 1 freq
pester - 2 freq
POOSTER
Time to execute Levenshtein function - 0.181005 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 - 0.324363 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 - 0.027317 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 - 0.036855 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 - 0.000912 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.