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 pasture in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pasture (0) - 11 freq
pastures (1) - 4 freq
pastur (1) - 5 freq
posture (1) - 8 freq
pasturs (1) - 1 freq
picture (2) - 171 freq
asure (2) - 1 freq
rapture (2) - 1 freq
sture (2) - 6 freq
pastry (2) - 9 freq
naiture (2) - 4 freq
pastie (2) - 1 freq
gesture (2) - 32 freq
postures (2) - 2 freq
astute (2) - 1 freq
basturt (2) - 16 freq
assure (2) - 20 freq
capture (2) - 22 freq
nature (2) - 110 freq
pastime (2) - 1 freq
mature (2) - 14 freq
'astute (2) - 1 freq
paste (2) - 10 freq
pasturage (2) - 1 freq
basturd (2) - 2 freq
pasture (0) - 11 freq
posture (1) - 8 freq
pastur (1) - 5 freq
pastor (2) - 1 freq
pasturs (2) - 1 freq
pastry (2) - 9 freq
pastures (2) - 4 freq
pastime (3) - 1 freq
pester (3) - 2 freq
pasturage (3) - 1 freq
postures (3) - 2 freq
paste (3) - 10 freq
poster (3) - 23 freq
gesture (3) - 32 freq
sture (3) - 6 freq
picture (3) - 171 freq
pastie (3) - 1 freq
sistur (4) - 2 freq
astir (4) - 1 freq
pestered (4) - 1 freq
pastel (4) - 2 freq
postage (4) - 5 freq
poastie (4) - 1 freq
waster (4) - 13 freq
paltry (4) - 1 freq
SoundEx code - P236
pictur - 89 freq
picter - 87 freq
picters - 44 freq
pictures - 76 freq
picture - 171 freq
pictured - 6 freq
picturs - 61 freq
posters - 28 freq
picturin - 1 freq
pictoors - 1 freq
pikit-weer - 1 freq
pesterin - 2 freq
pastur - 5 freq
pestered - 1 freq
pictirs - 3 freq
poster - 23 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
pictur-hoose - 1 freq
post-war - 4 freq
post-traumatic - 1 freq
pishwater - 6 freq
pishwatrer - 1 freq
posture - 8 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 - 23 freq
pasture - 11 freq
pastry - 9 freq
posture - 8 freq
peester - 3 freq
poostir - 1 freq
posster - 1 freq
pooster - 5 freq
piestir - 1 freq
pastor - 1 freq
pester - 2 freq
PASTURE
Time to execute Levenshtein function - 0.414890 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 - 0.593107 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 - 0.057575 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 - 0.037170 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 - 0.000835 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.