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 ahint

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

Similar words to faister in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
faister (0) - 16 freq
aister (1) - 2 freq
faisten (1) - 1 freq
waister (1) - 1 freq
haister (1) - 2 freq
faster (1) - 77 freq
faister' (1) - 1 freq
fister (1) - 2 freq
faaster (1) - 6 freq
maister (1) - 216 freq
fainter (1) - 2 freq
baitter (2) - 1 freq
foster (2) - 19 freq
taistet (2) - 1 freq
canister (2) - 3 freq
'faster (2) - 3 freq
fitter (2) - 5 freq
plaister (2) - 20 freq
farter (2) - 1 freq
master (2) - 19 freq
fisted (2) - 1 freq
alister (2) - 1 freq
mister (2) - 83 freq
tapster (2) - 6 freq
aifter (2) - 339 freq
faister (0) - 16 freq
fister (1) - 2 freq
faaster (1) - 6 freq
faster (1) - 77 freq
fainter (2) - 2 freq
aister (2) - 2 freq
fistir (2) - 1 freq
fester (2) - 16 freq
maister (2) - 216 freq
foster (2) - 19 freq
faister' (2) - 1 freq
waister (2) - 1 freq
haister (2) - 2 freq
faisten (2) - 1 freq
faetter (3) - 1 freq
lister (3) - 6 freq
fluster (3) - 1 freq
falter (3) - 1 freq
fastner (3) - 1 freq
caster (3) - 2 freq
mayster (3) - 1 freq
leister (3) - 2 freq
fisher (3) - 41 freq
fatter (3) - 13 freq
aster (3) - 1 freq
SoundEx code - F236
faster - 77 freq
factory - 111 freq
factory' - 2 freq
fighters - 4 freq
foster - 19 freq
fechter - 20 freq
fechters - 5 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
FAISTER
Time to execute Levenshtein function - 0.395140 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 - 0.498838 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 - 0.030469 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 - 0.044163 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 - 0.000783 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.