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 purer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
purer (0) - 2 freq
puirer (1) - 6 freq
puer (1) - 1 freq
purr (1) - 3 freq
durer (1) - 1 freq
pure (1) - 676 freq
murr (2) - 1 freq
putter (2) - 1 freq
jure (2) - 1 freq
herer (2) - 1 freq
furr (2) - 12 freq
burger (2) - 13 freq
burker (2) - 2 freq
cure (2) - 54 freq
puce (2) - 1 freq
bure (2) - 3 freq
pirr (2) - 2 freq
uber (2) - 2 freq
pure's (2) - 1 freq
po'er (2) - 2 freq
purl (2) - 3 freq
bucer (2) - 1 freq
pu'ed (2) - 11 freq
urrr (2) - 1 freq
pursed (2) - 6 freq
purer (0) - 2 freq
purr (1) - 3 freq
puirer (1) - 6 freq
perr (2) - 23 freq
pirr (2) - 2 freq
poorer (2) - 5 freq
paerer (2) - 1 freq
porr (2) - 1 freq
durer (2) - 1 freq
pure (2) - 676 freq
puer (2) - 1 freq
wurr (3) - 27 freq
prey (3) - 27 freq
brer (3) - 2 freq
duror (3) - 1 freq
pleurer (3) - 1 freq
purpre (3) - 1 freq
neurer (3) - 1 freq
pere (3) - 1 freq
porter (3) - 14 freq
faurer (3) - 36 freq
parker (3) - 19 freq
pared (3) - 2 freq
pores (3) - 5 freq
power (3) - 172 freq
SoundEx code - P660
prayer - 96 freq
purer - 2 freq
priorie - 7 freq
prior - 18 freq
poorer - 5 freq
puirer - 6 freq
peerier - 17 freq
priory - 3 freq
peerie-weerie - 1 freq
pre-war - 2 freq
'prayer - 1 freq
prairie - 1 freq
paerer - 1 freq
prayer' - 3 freq
MetaPhone code - PRR
purer - 2 freq
priorie - 7 freq
prior - 18 freq
poorer - 5 freq
puirer - 6 freq
peerier - 17 freq
priory - 3 freq
prairie - 1 freq
paerer - 1 freq
PURER
Time to execute Levenshtein function - 0.197671 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 - 0.406821 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 - 0.033982 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 - 0.037769 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 - 0.000994 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.