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 petèr in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
petèr (0) - 31 freq
petér (1) - 10 freq
mettèr (2) - 7 freq
petir (2) - 1 freq
peter (2) - 148 freq
eftèr (2) - 91 freq
pictèr (2) - 3 freq
petér' (2) - 1 freq
lettèr (2) - 1 freq
petèr's (2) - 3 freq
bettèr (2) - 32 freq
ulstèr (3) - 13 freq
perr (3) - 23 freq
peer (3) - 199 freq
pet-an (3) - 1 freq
peiper (3) - 1 freq
pettin (3) - 3 freq
pettie (3) - 1 freq
lether (3) - 2 freq
tè (3) - 1 freq
bettur (3) - 3 freq
petrol (3) - 36 freq
meteor (3) - 1 freq
pedlar (3) - 3 freq
eether (3) - 12 freq
petèr (0) - 31 freq
petér (2) - 10 freq
pictèr (3) - 3 freq
eftèr (3) - 91 freq
bettèr (4) - 32 freq
petér' (4) - 1 freq
petèr's (4) - 3 freq
lettèr (4) - 1 freq
mettèr (4) - 7 freq
petir (4) - 1 freq
peter (4) - 148 freq
doctèr (5) - 2 freq
intèr- (5) - 1 freq
unnèr (5) - 27 freq
pityer (5) - 1 freq
tör (5) - 1 freq
petrie (5) - 4 freq
motòr (5) - 2 freq
latér (5) - 1 freq
eftér (5) - 16 freq
patter (5) - 56 freq
wattèr (5) - 20 freq
pör (5) - 32 freq
peuther (5) - 1 freq
pictèrs (5) - 1 freq
SoundEx code - P360
potter - 29 freq
peter - 148 freq
poetrie - 17 freq
poetry - 260 freq
powder - 10 freq
pooder - 49 freq
patter - 56 freq
poother - 5 freq
pooderhaa - 1 freq
pootherie - 1 freq
pouther - 7 freq
petrie - 4 freq
poothery - 1 freq
pottery - 5 freq
poodher - 1 freq
'peter - 3 freq
petèr - 31 freq
petér - 10 freq
petér' - 1 freq
'peter' - 1 freq
poodery - 2 freq
pdr - 2 freq
'poetry - 1 freq
poyetry - 5 freq
poetry' - 2 freq
pu-thru - 1 freq
paitter - 1 freq
peedier - 7 freq
putter - 1 freq
pedro - 4 freq
poatry - 1 freq
pewther - 1 freq
pewter - 3 freq
pouetry - 1 freq
'phaedra' - 1 freq
poetre - 1 freq
poietry - 3 freq
petir - 1 freq
€˜poetry - 1 freq
phaedra - 14 freq
€˜potter - 1 freq
pitter - 2 freq
pouder - 1 freq
€œpetrie - 3 freq
peuther - 1 freq
poyitry - 1 freq
pityer - 1 freq
poiïtree - 6 freq
powdery - 1 freq
pooter - 1 freq
padaro - 1 freq
padair - 8 freq
padre - 1 freq
pattir - 2 freq
powdir - 1 freq
MetaPhone code - PTR
potter - 29 freq
peter - 148 freq
poetrie - 17 freq
poetry - 260 freq
powder - 10 freq
pooder - 49 freq
patter - 56 freq
petrie - 4 freq
pottery - 5 freq
'peter - 3 freq
petèr - 31 freq
petér - 10 freq
petér' - 1 freq
'peter' - 1 freq
poodery - 2 freq
pdr - 2 freq
'poetry - 1 freq
poetry' - 2 freq
paitter - 1 freq
peedier - 7 freq
putter - 1 freq
pedro - 4 freq
poatry - 1 freq
pewter - 3 freq
pouetry - 1 freq
poetre - 1 freq
poietry - 3 freq
petir - 1 freq
€˜poetry - 1 freq
€˜potter - 1 freq
pitter - 2 freq
pouder - 1 freq
€œpetrie - 3 freq
poiïtree - 6 freq
powdery - 1 freq
pooter - 1 freq
padaro - 1 freq
padair - 8 freq
padre - 1 freq
pattir - 2 freq
powdir - 1 freq
PETÈR
Time to execute Levenshtein function - 0.215428 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 - 0.350122 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 - 0.028135 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 - 0.037682 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 - 0.000942 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.