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 puzzler in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
puzzler (0) - 1 freq
puzzle (1) - 21 freq
puzzlet (1) - 3 freq
puzzles (1) - 3 freq
puzzled (1) - 35 freq
puzzlin (2) - 6 freq
guzzlers (2) - 1 freq
guzzle (2) - 4 freq
muzzle (2) - 7 freq
buzzle (2) - 1 freq
buzzer (2) - 8 freq
puller (2) - 1 freq
nuzzled (2) - 1 freq
nuzzle (2) - 2 freq
puzzlt (2) - 6 freq
puzzl't (2) - 1 freq
dazzler (2) - 2 freq
puzzlan (2) - 3 freq
guzzled (2) - 2 freq
puzzlit (2) - 1 freq
dazler (3) - 2 freq
muckler (3) - 10 freq
mizzle (3) - 8 freq
puer (3) - 1 freq
tumbler (3) - 4 freq
puzzler (0) - 1 freq
puzzled (2) - 35 freq
puzzles (2) - 3 freq
puzzlet (2) - 3 freq
puzzle (2) - 21 freq
puzzlan (3) - 3 freq
puzzlit (3) - 1 freq
dazzler (3) - 2 freq
puzzlt (3) - 6 freq
puzzlin (3) - 6 freq
guzzle (4) - 4 freq
guzzled (4) - 2 freq
puzzelt (4) - 11 freq
muzzle (4) - 7 freq
buzzle (4) - 1 freq
guzzlers (4) - 1 freq
puzzl't (4) - 1 freq
buzzer (4) - 8 freq
nuzzled (4) - 1 freq
puller (4) - 1 freq
nuzzle (4) - 2 freq
mizzer (5) - 4 freq
pullar (5) - 5 freq
guzzlin (5) - 2 freq
poller (5) - 1 freq
SoundEx code - P246
pauchler - 1 freq
peculiarities' - 1 freq
peculiarities - 1 freq
puzzler - 1 freq
peculiar - 7 freq
pauchlers - 1 freq
peculiarly - 1 freq
pauchleris - 1 freq
MetaPhone code - PSLR
puzzler - 1 freq
PUZZLER
Time to execute Levenshtein function - 0.199732 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 - 0.350376 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 - 0.026825 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 - 0.036719 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 - 0.000822 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.