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 silent in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
silent (0) - 144 freq
sklent (1) - 31 freq
seilent (1) - 6 freq
splint (2) - 1 freq
smile't (2) - 5 freq
sirkent (2) - 1 freq
aipent (2) - 1 freq
pilet (2) - 1 freq
violent (2) - 18 freq
spleet (2) - 28 freq
spleit (2) - 1 freq
silken (2) - 10 freq
slept (2) - 57 freq
siena (2) - 2 freq
smilet (2) - 19 freq
bile't (2) - 1 freq
silently (2) - 32 freq
mient (2) - 3 freq
dilgent (2) - 1 freq
sent (2) - 546 freq
sílent (2) - 2 freq
siken (2) - 1 freq
siven (2) - 2 freq
sleent (2) - 1 freq
sailen (2) - 2 freq
silent (0) - 144 freq
seilent (1) - 6 freq
slant (2) - 3 freq
seelent (2) - 25 freq
sleent (2) - 1 freq
sklent (2) - 31 freq
salient (2) - 2 freq
shent (3) - 3 freq
glent (3) - 30 freq
relent (3) - 5 freq
stent (3) - 30 freq
sleet (3) - 47 freq
saicent (3) - 1 freq
talent (3) - 65 freq
speent (3) - 1 freq
slanty (3) - 1 freq
solvent (3) - 1 freq
sklenty (3) - 1 freq
spent (3) - 281 freq
seivent (3) - 1 freq
asklent (3) - 8 freq
siventy (3) - 1 freq
seilens (3) - 2 freq
sint (3) - 24 freq
sinnt (3) - 1 freq
SoundEx code - S453
silent - 144 freq
sclimt - 9 freq
silently - 32 freq
seelent - 25 freq
sklent - 31 freq
sklinter - 3 freq
slammed - 22 freq
sclimmt - 5 freq
sklentit - 8 freq
sclimmed - 33 freq
sklents - 2 freq
slender - 9 freq
slantin - 2 freq
slant - 3 freq
slanted - 2 freq
slander - 3 freq
shulammite - 2 freq
soulmate - 1 freq
sklinters - 1 freq
schuilmates - 1 freq
slantit - 4 freq
slam-dunk - 1 freq
slammit - 1 freq
sklintered - 1 freq
slandeérin - 1 freq
sklentin - 4 freq
sleent - 1 freq
sklentyweys - 1 freq
sklenty - 1 freq
slam't - 1 freq
slanders - 1 freq
sklimmed - 3 freq
sowl-mate - 1 freq
soul-mate - 1 freq
slundy - 1 freq
seilent - 6 freq
sloomed - 1 freq
slainte - 3 freq
sclimed - 2 freq
sklentan - 2 freq
sholmet - 1 freq
sholmit - 1 freq
salient - 2 freq
sklintert - 2 freq
slimed - 1 freq
sel-made - 1 freq
scuilmates - 1 freq
seelently - 1 freq
seal-maids - 1 freq
sklimmit - 1 freq
sklented - 1 freq
sclents - 1 freq
sklentwise - 1 freq
sealand - 1 freq
sílent - 2 freq
shawlands - 1 freq
scoland - 1 freq
sklentie - 1 freq
slammt - 1 freq
sclintered - 2 freq
sloomit - 1 freq
sláinte - 2 freq
slanty - 1 freq
slendersherbet - 1 freq
sclenters - 1 freq
slaintje - 1 freq
slàinte - 1 freq
sklentiefruit - 3 freq
'sklentifruit' - 1 freq
sklentiefruit-relatit - 1 freq
salinity - 1 freq
MetaPhone code - SLNT
silent - 144 freq
zealand - 40 freq
seelent - 25 freq
slant - 3 freq
sleent - 1 freq
slundy - 1 freq
seilent - 6 freq
zeiland - 2 freq
yslaand - 2 freq
slainte - 3 freq
salient - 2 freq
sealand - 1 freq
sílent - 2 freq
sláinte - 2 freq
slanty - 1 freq
zeeland - 1 freq
slàinte - 1 freq
salinity - 1 freq
SILENT
Time to execute Levenshtein function - 0.193847 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 - 0.356724 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 - 0.027832 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 - 0.037894 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 - 0.000983 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.