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 eezer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eezer (0) - 1 freq
eever (1) - 2 freq
eeger (1) - 1 freq
geezer (1) - 6 freq
beezer (1) - 11 freq
bleezer (2) - 1 freq
enfer (2) - 1 freq
eese (2) - 107 freq
weber (2) - 1 freq
leper (2) - 2 freq
eece (2) - 8 freq
ne'er (2) - 173 freq
heezes (2) - 5 freq
lever (2) - 2 freq
e'er (2) - 59 freq
newer (2) - 7 freq
seeger (2) - 1 freq
beeger (2) - 6 freq
feer (2) - 4 freq
lee-er (2) - 1 freq
deter (2) - 4 freq
heefer (2) - 1 freq
meyer (2) - 5 freq
yeer (2) - 22 freq
gener (2) - 1 freq
eezer (0) - 1 freq
beezer (2) - 11 freq
geezer (2) - 6 freq
eever (2) - 2 freq
eeger (2) - 1 freq
efier (3) - 1 freq
azr (3) - 1 freq
weeer (3) - 2 freq
teer (3) - 5 freq
eber (3) - 3 freq
ee'r (3) - 1 freq
razer (3) - 1 freq
eader (3) - 1 freq
eser (3) - 1 freq
geer (3) - 16 freq
veer (3) - 1 freq
eemur (3) - 1 freq
eez (3) - 105 freq
yeeze (3) - 1 freq
eaze (3) - 1 freq
seer (3) - 39 freq
ueber (3) - 1 freq
peer (3) - 199 freq
eater (3) - 2 freq
meer (3) - 9 freq
SoundEx code - E260
eager - 27 freq
easier - 114 freq
eesyer - 1 freq
easjer - 1 freq
egeria - 1 freq
eezer - 1 freq
ecairry - 1 freq
ezra - 3 freq
ex-chair - 1 freq
eqr - 2 freq
eser - 1 freq
echr - 1 freq
eeger - 1 freq
MetaPhone code - ESR
easier - 114 freq
aesir - 4 freq
eezer - 1 freq
aesier - 13 freq
ezra - 3 freq
eser - 1 freq
EEZER
Time to execute Levenshtein function - 0.372525 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 - 0.453782 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 - 0.027728 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 - 0.039085 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 - 0.000898 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.