A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to adorable in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
adorable (0) - 8 freq
arable (2) - 8 freq
parable (3) - 54 freq
'notable (3) - 1 freq
oracle (3) - 5 freq
adappable (3) - 1 freq
favourable (3) - 1 freq
disable (3) - 1 freq
dooble (3) - 26 freq
vocable (3) - 1 freq
amiable (3) - 1 freq
bearable (3) - 5 freq
notable (3) - 5 freq
workable (3) - 3 freq
adobe (3) - 2 freq
tholable (3) - 1 freq
probable (3) - 4 freq
double (3) - 126 freq
deeable (3) - 1 freq
amoral (3) - 1 freq
memorable (3) - 10 freq
gorble (3) - 2 freq
portable (3) - 9 freq
advisable (3) - 4 freq
chorale (3) - 1 freq
adorable (0) - 8 freq
arable (3) - 8 freq
bearable (4) - 5 freq
deeable (4) - 1 freq
gorble (4) - 2 freq
dooble (4) - 26 freq
dreeble (4) - 1 freq
double (4) - 126 freq
parable (4) - 54 freq
disable (4) - 1 freq
draigle (5) - 1 freq
drebble (5) - 1 freq
dubble (5) - 2 freq
derbie (5) - 2 freq
greeable (5) - 4 freq
drawl (5) - 4 freq
dorsal (5) - 1 freq
gorblie (5) - 2 freq
dabble (5) - 2 freq
audible (5) - 2 freq
dibble (5) - 1 freq
dribble (5) - 3 freq
mairble (5) - 4 freq
proably (5) - 1 freq
agreeable (5) - 3 freq
SoundEx code - A361
adrift - 9 freq
atrophy - 1 freq
adorable - 8 freq
attributes - 5 freq
ati'rubbir - 1 freq
attributive - 2 freq
attributively - 1 freq
attributit - 7 freq
attributed - 1 freq
attribution - 1 freq
authorpetermay - 2 freq
atarbuck - 1 freq
MetaPhone code - ATRBL
adorable - 8 freq
ADORABLE
Time to execute Levenshtein function - 0.174537 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 - 0.369820 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 - 0.031350 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 - 0.039225 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 - 0.000842 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.