A Corpus of 21st Century Scots Texts

Intro a b c d e f g h i j k l m n o p q r s t u v w x y z Texts Writers Statistics Top200 Search Compare

Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to bidder in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bidder (0) - 1 freq
kidder (1) - 4 freq
tidder (1) - 50 freq
budder (1) - 47 freq
aidder (1) - 1 freq
idder (1) - 286 freq
binder (1) - 22 freq
midder (1) - 64 freq
bidden (1) - 35 freq
bridder (1) - 26 freq
fidder (1) - 12 freq
badder (1) - 5 freq
ridder (1) - 2 freq
bigder (1) - 7 freq
nidder (1) - 6 freq
widder (1) - 4 freq
iddir (2) - 11 freq
fadder (2) - 69 freq
bicker (2) - 12 freq
biker (2) - 3 freq
ledder (2) - 23 freq
wilder (2) - 4 freq
tiddler (2) - 2 freq
lieder (2) - 4 freq
reidder (2) - 2 freq
bidder (0) - 1 freq
badder (1) - 5 freq
budder (1) - 47 freq
ridder (2) - 2 freq
fidder (2) - 12 freq
nidder (2) - 6 freq
buddir (2) - 3 freq
bridder (2) - 26 freq
bigder (2) - 7 freq
widder (2) - 4 freq
kidder (2) - 4 freq
bidden (2) - 35 freq
aidder (2) - 1 freq
tidder (2) - 50 freq
midder (2) - 64 freq
idder (2) - 286 freq
binder (2) - 22 freq
adder (3) - 4 freq
bladder (3) - 6 freq
odder (3) - 1 freq
madder (3) - 5 freq
fedder (3) - 36 freq
ladder (3) - 35 freq
wadder (3) - 21 freq
bided (3) - 30 freq
SoundEx code - B360
bother - 322 freq
better - 1675 freq
bitter - 109 freq
batter - 68 freq
butter - 129 freq
'better - 9 freq
bather - 58 freq
baitur - 4 freq
baiturr - 1 freq
baither - 2 freq
badder - 5 freq
battery - 23 freq
betray - 8 freq
bator - 1 freq
buther - 11 freq
baitter - 1 freq
biter - 1 freq
batthrie - 1 freq
bettér - 4 freq
bittér - 1 freq
butterie - 7 freq
bathir - 2 freq
biether - 1 freq
'butterie' - 1 freq
bettèr - 32 freq
bethray - 2 freq
boather - 5 freq
boathir - 3 freq
better' - 3 freq
budder - 47 freq
bither - 12 freq
bettir - 12 freq
betther - 18 freq
bowder - 1 freq
battur - 1 freq
bettur - 3 freq
be-etter - 2 freq
be-e-e-etter - 1 freq
betaware - 1 freq
€˜betaware - 1 freq
buttery - 24 freq
buttir - 2 freq
bidder - 1 freq
beter - 1 freq
byde-ower - 1 freq
behauder - 2 freq
boathur - 1 freq
buddir - 3 freq
beater - 11 freq
buttrie - 4 freq
b-u-tt-r-ie - 1 freq
betterÂ’ - 1 freq
betterawa - 3 freq
“better - 1 freq
MetaPhone code - BTR
better - 1675 freq
bitter - 109 freq
batter - 68 freq
butter - 129 freq
'better - 9 freq
baitur - 4 freq
baiturr - 1 freq
badder - 5 freq
battery - 23 freq
betray - 8 freq
bator - 1 freq
baitter - 1 freq
biter - 1 freq
batthrie - 1 freq
bettér - 4 freq
bittér - 1 freq
butterie - 7 freq
'butterie' - 1 freq
bettèr - 32 freq
better' - 3 freq
budder - 47 freq
bettir - 12 freq
betther - 18 freq
bowder - 1 freq
battur - 1 freq
bettur - 3 freq
be-etter - 2 freq
be-e-e-etter - 1 freq
buttery - 24 freq
buttir - 2 freq
bidder - 1 freq
beter - 1 freq
buddir - 3 freq
beater - 11 freq
buttrie - 4 freq
b-u-tt-r-ie - 1 freq
betterÂ’ - 1 freq
“better - 1 freq
BIDDER
Time to execute Levenshtein function - 0.182162 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 - 0.348185 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 - 0.027650 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 - 0.040569 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 - 0.000889 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.