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 petér in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
petér (0) - 10 freq
petèr (1) - 31 freq
petér' (1) - 1 freq
peter (2) - 148 freq
petir (2) - 1 freq
mettér (2) - 5 freq
leftér (2) - 1 freq
bettér (2) - 4 freq
latér (2) - 1 freq
eftér (2) - 16 freq
petèr's (3) - 3 freq
peur (3) - 28 freq
unnér (3) - 5 freq
metter (3) - 53 freq
mettèr (3) - 7 freq
petit (3) - 1 freq
pear (3) - 9 freq
petert (3) - 1 freq
pictèr (3) - 3 freq
setter (3) - 4 freq
plattér (3) - 1 freq
wether (3) - 2 freq
potter (3) - 29 freq
etter (3) - 2 freq
peer (3) - 199 freq
petér (0) - 10 freq
petér' (2) - 1 freq
petèr (2) - 31 freq
eftér (3) - 16 freq
latér (3) - 1 freq
mettér (4) - 5 freq
peter (4) - 148 freq
peérie (4) - 1 freq
petir (4) - 1 freq
leftér (4) - 1 freq
bettér (4) - 4 freq
sistér (5) - 1 freq
pitter (5) - 2 freq
pör (5) - 32 freq
bittér (5) - 1 freq
wuntér (5) - 1 freq
eftèr (5) - 91 freq
motòr (5) - 2 freq
pattir (5) - 2 freq
purée (5) - 1 freq
peuther (5) - 1 freq
tör (5) - 1 freq
petrie (5) - 4 freq
flér (5) - 1 freq
patter (5) - 56 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
PETÉR
Time to execute Levenshtein function - 0.213012 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 - 0.358025 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 - 0.027527 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 - 0.037005 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 - 0.000899 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.