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 pzzpum in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pzzpum (0) - 1 freq
paum (3) - 2 freq
wnzum (3) - 1 freq
dzpm (3) - 1 freq
€˜pum (3) - 1 freq
€¦pum (3) - 2 freq
precum (3) - 1 freq
rzmpm (3) - 1 freq
ploum (3) - 2 freq
podium (3) - 6 freq
urzum (3) - 1 freq
bizzum (3) - 6 freq
poyum (3) - 9 freq
pizuw (3) - 1 freq
prum (3) - 1 freq
paipur (3) - 3 freq
pidpu (3) - 1 freq
pum (3) - 3 freq
possum (3) - 1 freq
plum (3) - 15 freq
pzz (3) - 1 freq
uzziah (4) - 2 freq
pup (4) - 37 freq
ppgs (4) - 1 freq
vellum (4) - 2 freq
pzzpum (0) - 1 freq
pzz (5) - 1 freq
rzmpm (5) - 1 freq
bizzum (5) - 6 freq
dzpm (5) - 1 freq
puzziin (6) - 1 freq
bizzom (6) - 2 freq
puzzles (6) - 3 freq
pizz (6) - 1 freq
pizzen (6) - 2 freq
pizza (6) - 37 freq
puzzelt (6) - 11 freq
pzaz (6) - 1 freq
puzzler (6) - 1 freq
mzzipyk (6) - 1 freq
bizzim (6) - 1 freq
pizzens (6) - 1 freq
puzzlet (6) - 3 freq
puzzled (6) - 36 freq
pizzas (6) - 6 freq
puzzle (6) - 21 freq
puzzlin (6) - 6 freq
puzzlit (6) - 1 freq
puzzian (6) - 1 freq
poyum (6) - 9 freq
SoundEx code - P215
pickie-fingirt - 1 freq
pigpen - 1 freq
pack-pownies - 1 freq
peace-of-mind - 1 freq
pwjbn - 1 freq
pgsvvmqv - 1 freq
pcybmehwm - 1 freq
pzxpnjguke - 1 freq
picsofnewcastle - 1 freq
pzzpum - 1 freq
MetaPhone code - PSPM
pzzpum - 1 freq
PZZPUM
Time to execute Levenshtein function - 0.245018 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 - 0.375366 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 - 0.027943 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 - 0.037489 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 - 0.000846 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.