A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to butler in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
butler (0) - 8 freq
butter (1) - 129 freq
buther (1) - 11 freq
butcher (2) - 36 freq
bugle (2) - 2 freq
buile (2) - 1 freq
buyer (2) - 8 freq
cuter (2) - 1 freq
b'iler (2) - 1 freq
bunder (2) - 1 freq
hitler (2) - 10 freq
ruther (2) - 3 freq
burley (2) - 1 freq
bumper (2) - 3 freq
beter (2) - 1 freq
builder (2) - 14 freq
culler (2) - 1 freq
bullet (2) - 32 freq
bither (2) - 12 freq
bitter (2) - 109 freq
burker (2) - 2 freq
busker (2) - 2 freq
burner (2) - 3 freq
butted (2) - 5 freq
bunker (2) - 22 freq
butler (0) - 8 freq
butter (2) - 129 freq
buther (2) - 11 freq
bither (3) - 12 freq
bitter (3) - 109 freq
buttir (3) - 2 freq
byler (3) - 3 freq
tytler (3) - 1 freq
biyler (3) - 1 freq
biter (3) - 1 freq
cutlery (3) - 14 freq
butlin (3) - 2 freq
bother (3) - 322 freq
bather (3) - 58 freq
beyler (3) - 1 freq
beter (3) - 1 freq
biler (3) - 8 freq
bueller (3) - 1 freq
buttery (3) - 24 freq
batter (3) - 68 freq
b'iler (3) - 1 freq
hitler (3) - 10 freq
boiler (3) - 4 freq
baler (3) - 4 freq
better (3) - 1675 freq
SoundEx code - B346
butler - 8 freq
bowdlerised - 1 freq
baudelaire - 81 freq
baudelairean - 1 freq
baudelaires - 14 freq
baudelaires' - 1 freq
baudelairc - 1 freq
butler's - 1 freq
battle-hardened - 1 freq
bwdlr - 1 freq
bottlers - 1 freq
MetaPhone code - BTLR
butler - 8 freq
baudelaire - 81 freq
bwdlr - 1 freq
BUTLER
Time to execute Levenshtein function - 0.188267 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 - 0.335014 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 - 0.027523 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 - 0.036740 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 - 0.000867 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.