A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to pleyer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pleyer (0) - 2 freq
pleyed (1) - 16 freq
player (1) - 131 freq
pleyar (1) - 1 freq
pleyers (1) - 7 freq
pleyit (2) - 2 freq
cleyey (2) - 1 freq
plene (2) - 1 freq
layer (2) - 15 freq
pleuter (2) - 1 freq
leper (2) - 2 freq
peyper (2) - 1 freq
peyed (2) - 168 freq
paerer (2) - 1 freq
elyer (2) - 1 freq
pleyt (2) - 1 freq
pleyin (2) - 12 freq
pleiter (2) - 1 freq
peever (2) - 1 freq
greyer (2) - 1 freq
gleer (2) - 1 freq
plewed (2) - 2 freq
cleer (2) - 6 freq
prefer (2) - 41 freq
plater (2) - 1 freq
pleyer (0) - 2 freq
player (1) - 131 freq
pleyar (1) - 1 freq
peeler (2) - 3 freq
iplayer (2) - 5 freq
pleyed (2) - 16 freq
pler (2) - 1 freq
pleyers (2) - 7 freq
pleys (3) - 30 freq
pley (3) - 45 freq
pityer (3) - 1 freq
leer (3) - 4 freq
plee (3) - 1 freq
fleer (3) - 124 freq
plover (3) - 9 freq
pleep (3) - 3 freq
plyter (3) - 3 freq
prayer (3) - 96 freq
plece (3) - 13 freq
peter (3) - 148 freq
plees (3) - 6 freq
pleurer (3) - 1 freq
peer (3) - 199 freq
players (3) - 152 freq
payer (3) - 1 freq
SoundEx code - P460
pillar - 15 freq
player - 131 freq
pallor - 4 freq
polar - 24 freq
puller - 1 freq
pleyer - 2 freq
powlar - 1 freq
pleyar - 1 freq
pullar - 5 freq
peeler - 3 freq
poller - 1 freq
pleure - 1 freq
pler - 1 freq
MetaPhone code - PLYR
player - 131 freq
pleyer - 2 freq
pleyar - 1 freq
PLEYER
Time to execute Levenshtein function - 0.197187 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 - 0.367325 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 - 0.027862 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 - 0.037651 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 - 0.000877 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.