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 picter in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
picter (0) - 87 freq
pinter (1) - 7 freq
pictir (1) - 19 freq
picher (1) - 4 freq
pictur (1) - 89 freq
pitter (1) - 2 freq
pikter (1) - 1 freq
picters (1) - 44 freq
ticker (2) - 3 freq
pityer (2) - 1 freq
pisher (2) - 1 freq
yitter (2) - 1 freq
licker (2) - 1 freq
paitter (2) - 1 freq
mister (2) - 83 freq
poster (2) - 23 freq
nicker (2) - 1 freq
gitter (2) - 1 freq
picterin (2) - 1 freq
pinten (2) - 1 freq
riter (2) - 1 freq
pincher (2) - 2 freq
printer (2) - 2 freq
aister (2) - 2 freq
litter (2) - 16 freq
picter (0) - 87 freq
pictur (1) - 89 freq
pictir (1) - 19 freq
pinter (2) - 7 freq
picture (2) - 171 freq
pikter (2) - 1 freq
picters (2) - 44 freq
picher (2) - 4 freq
pitter (2) - 2 freq
piktir (3) - 1 freq
packer (3) - 1 freq
punter (3) - 15 freq
picturl (3) - 1 freq
pelter (3) - 1 freq
peinter (3) - 1 freq
pecker (3) - 1 freq
plyter (3) - 3 freq
peter (3) - 148 freq
docter (3) - 15 freq
victor (3) - 34 freq
pictaura (3) - 1 freq
painter (3) - 9 freq
plater (3) - 1 freq
patter (3) - 53 freq
picturs (3) - 61 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 - PKTR
pictur - 89 freq
picter - 87 freq
picture - 171 freq
pictir - 19 freq
pictèr - 3 freq
piktir - 1 freq
pikter - 1 freq
pictaura - 1 freq
PICTER
Time to execute Levenshtein function - 0.177434 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 - 0.347095 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 - 0.027788 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 - 0.037742 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 - 0.001001 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.