A Corpus of 21st Century Scots Texts

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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 audible in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
audible (0) - 4 freq
audibly (1) - 1 freq
edible (2) - 3 freq
aible (2) - 2 freq
ansible (2) - 2 freq
inaudible (2) - 2 freq
aedie (3) - 1 freq
tangible (3) - 4 freq
gaudie (3) - 1 freq
laudably (3) - 1 freq
amble (3) - 3 freq
uile (3) - 2 freq
fumble (3) - 1 freq
mumble (3) - 3 freq
aprile (3) - 36 freq
nuisle (3) - 1 freq
abdie (3) - 1 freq
humble (3) - 27 freq
faisible (3) - 3 freq
quhile (3) - 5 freq
anbile (3) - 1 freq
rumble (3) - 9 freq
adige (3) - 1 freq
lucille (3) - 2 freq
agile (3) - 2 freq
audible (0) - 4 freq
audibly (1) - 1 freq
edible (2) - 3 freq
aible (3) - 2 freq
inaudible (3) - 2 freq
able (4) - 436 freq
dibble (4) - 1 freq
inaudibly (4) - 1 freq
buile (4) - 1 freq
dubble (4) - 2 freq
bauble (4) - 5 freq
ible (4) - 1 freq
double (4) - 129 freq
dwaible (4) - 2 freq
adobe (4) - 2 freq
arable (4) - 8 freq
dooble (4) - 26 freq
deeable (4) - 1 freq
adele (4) - 1 freq
bible (4) - 95 freq
unable (4) - 19 freq
amiable (4) - 1 freq
taible (4) - 2 freq
aidle (4) - 1 freq
daudle (4) - 1 freq
SoundEx code - A314
audible - 4 freq
audibly - 1 freq
autopilot - 1 freq
MetaPhone code - ATBL
audible - 4 freq
audibly - 1 freq
AUDIBLE
Time to execute Levenshtein function - 0.199019 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 - 0.339525 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 - 0.027292 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 - 0.037542 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 - 0.000895 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.