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 eager in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eager (0) - 27 freq
eater (1) - 2 freq
wager (1) - 9 freq
pager (1) - 1 freq
eader (1) - 1 freq
eeger (1) - 1 freq
lager (1) - 39 freq
hagar (2) - 1 freq
vader (2) - 3 freq
easier (2) - 114 freq
agr (2) - 1 freq
seater (2) - 1 freq
enter (2) - 74 freq
bearer (2) - 7 freq
mayer (2) - 1 freq
eagles (2) - 11 freq
baer (2) - 2 freq
suger (2) - 1 freq
racer (2) - 1 freq
payer (2) - 1 freq
eaze (2) - 1 freq
jagger (2) - 2 freq
ganger (2) - 1 freq
leader (2) - 59 freq
sanger (2) - 1 freq
eager (0) - 27 freq
eeger (1) - 1 freq
ger (2) - 2 freq
aiger (2) - 2 freq
gaer (2) - 7 freq
lager (2) - 39 freq
agr (2) - 1 freq
eater (2) - 2 freq
pager (2) - 1 freq
wager (2) - 9 freq
eader (2) - 1 freq
elyer (3) - 1 freq
igor (3) - 6 freq
faer (3) - 59 freq
gaar (3) - 1 freq
vaiger (3) - 1 freq
egeria (3) - 1 freq
paer (3) - 3 freq
ear (3) - 143 freq
acer (3) - 1 freq
augur (3) - 1 freq
eider (3) - 3 freq
oaged (3) - 1 freq
eagerly (3) - 31 freq
wauger (3) - 3 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 - EJR
eager - 27 freq
egeria - 1 freq
eeger - 1 freq
EAGER
Time to execute Levenshtein function - 0.175200 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 - 0.334826 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 - 0.029914 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 - 0.042579 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 - 0.000861 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.