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 fester in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fester (0) - 16 freq
mester (1) - 12 freq
fister (1) - 2 freq
jester (1) - 4 freq
yester (1) - 4 freq
wester (1) - 6 freq
festser (1) - 1 freq
pester (1) - 2 freq
gester (1) - 2 freq
festers (1) - 1 freq
festen (1) - 1 freq
faster (1) - 77 freq
foster (1) - 19 freq
sester (1) - 2 freq
gestert (2) - 2 freq
eesyer (2) - 1 freq
'efter (2) - 5 freq
fermer (2) - 194 freq
fesses (2) - 1 freq
faetter (2) - 1 freq
festie (2) - 11 freq
fleeter (2) - 1 freq
fisted (2) - 1 freq
faister (2) - 16 freq
poster (2) - 24 freq
fester (0) - 16 freq
foster (1) - 19 freq
faster (1) - 77 freq
fister (1) - 2 freq
festen (2) - 1 freq
fistir (2) - 1 freq
faaster (2) - 6 freq
faister (2) - 16 freq
festers (2) - 1 freq
sester (2) - 2 freq
jester (2) - 4 freq
yester (2) - 4 freq
wester (2) - 6 freq
gester (2) - 2 freq
pester (2) - 2 freq
festser (2) - 1 freq
mester (2) - 12 freq
forster (3) - 4 freq
mister (3) - 84 freq
fasten (3) - 2 freq
ulster (3) - 420 freq
fostert (3) - 1 freq
farter (3) - 1 freq
-ster (3) - 1 freq
leister (3) - 2 freq
SoundEx code - F236
faster - 77 freq
factory - 112 freq
factory' - 2 freq
fighters - 4 freq
foster - 19 freq
fechter - 20 freq
fechters - 6 freq
fighter - 9 freq
fester - 16 freq
feuchters - 1 freq
factories - 12 freq
fisther - 1 freq
fectorie - 1 freq
fectory - 6 freq
fosterer - 3 freq
festerin - 5 freq
faister - 16 freq
factery - 1 freq
factor - 31 freq
fosterit - 1 freq
feexturs - 4 freq
foxtrot - 2 freq
factory's - 1 freq
'faster - 3 freq
foster's - 1 freq
festers - 1 freq
fig-tree - 3 freq
fixture - 4 freq
festered - 3 freq
factors - 21 freq
faaster - 6 freq
fixtures - 9 freq
fixed-term - 1 freq
faictors - 3 freq
faictor - 3 freq
fechters' - 2 freq
faktories - 1 freq
fistir - 1 freq
factorie - 2 freq
fichterin - 1 freq
faister' - 1 freq
fostirit - 1 freq
fosterin - 2 freq
factort - 1 freq
fostert - 1 freq
fister - 2 freq
fowk-dramas - 1 freq
fichter - 1 freq
fosteringnet - 1 freq
fcctrust - 1 freq
fcxdr - 1 freq
foxtrots - 1 freq
MetaPhone code - FSTR
faster - 77 freq
veesitor - 21 freq
veisitor - 7 freq
'veisitor' - 1 freq
foster - 19 freq
fester - 16 freq
faister - 16 freq
visitor - 23 freq
vestry - 3 freq
'faster - 3 freq
visietor - 5 freq
faaster - 6 freq
visitir - 1 freq
fistir - 1 freq
faister' - 1 freq
veisitour - 1 freq
veisitar - 2 freq
vistor - 1 freq
fister - 2 freq
veesiter - 1 freq
veesitur - 1 freq
vísitor - 1 freq
FESTER
Time to execute Levenshtein function - 0.621709 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 - 0.803533 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 - 0.077660 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 - 0.101346 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 - 0.000979 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.