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 eeger in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
eeger (0) - 1 freq
seeger (1) - 1 freq
beeger (1) - 6 freq
teeger (1) - 187 freq
eezer (1) - 1 freq
feeger (1) - 1 freq
eager (1) - 27 freq
eever (1) - 2 freq
meter (2) - 8 freq
weyer (2) - 1 freq
eened (2) - 3 freq
heeder (2) - 1 freq
tiger (2) - 27 freq
eesel (2) - 1 freq
eber (2) - 3 freq
ee’r (2) - 1 freq
geer (2) - 16 freq
keener (2) - 6 freq
sever (2) - 3 freq
weer (2) - 68 freq
neer (2) - 51 freq
ee-ers (2) - 1 freq
wee-er (2) - 29 freq
neeper (2) - 5 freq
edder (2) - 21 freq
eeger (0) - 1 freq
eager (1) - 27 freq
eever (2) - 2 freq
ger (2) - 2 freq
aiger (2) - 2 freq
geer (2) - 16 freq
feeger (2) - 1 freq
beeger (2) - 6 freq
seeger (2) - 1 freq
eezer (2) - 1 freq
teeger (2) - 187 freq
e'er (3) - 58 freq
gaer (3) - 7 freq
beer (3) - 140 freq
meyer (3) - 5 freq
lager (3) - 38 freq
teiger (3) - 1 freq
geir (3) - 14 freq
yeer (3) - 22 freq
teegar (3) - 4 freq
eser (3) - 1 freq
seer (3) - 39 freq
geezer (3) - 6 freq
weeer (3) - 2 freq
voger (3) - 1 freq
SoundEx code - E260
eager - 27 freq
easier - 111 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
EEGER
Time to execute Levenshtein function - 0.199979 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 - 0.390403 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 - 0.029622 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 - 0.037763 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 - 0.003189 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.