A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to unmeanan in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
unmeanan (0) - 1 freq
bemeanan (2) - 1 freq
meanan (2) - 12 freq
unmovan (3) - 1 freq
unlearn (3) - 2 freq
unenin (3) - 1 freq
uneaten (3) - 1 freq
unean (3) - 1 freq
unecan (3) - 1 freq
nearan (3) - 1 freq
sneakan (3) - 2 freq
demeanin (3) - 3 freq
moanan (3) - 1 freq
cleanan (3) - 2 freq
meanen (3) - 1 freq
meanin (3) - 201 freq
bemeanin (3) - 2 freq
unreason (3) - 1 freq
unkennin (3) - 3 freq
undeeman (3) - 2 freq
leanan (3) - 4 freq
unlearnin (3) - 1 freq
unread (4) - 3 freq
spreadan (4) - 2 freq
nearhan (4) - 28 freq
unmeanan (0) - 1 freq
bemeanan (3) - 1 freq
meanan (3) - 12 freq
meanen (4) - 1 freq
meanin (4) - 201 freq
demeanin (4) - 3 freq
bemeanin (4) - 2 freq
moanan (4) - 1 freq
unenin (4) - 1 freq
unmovan (4) - 1 freq
inmaname (5) - 1 freq
inginan (5) - 1 freq
meinin (5) - 1 freq
uncanny (5) - 9 freq
'moanin (5) - 1 freq
meaneen (5) - 18 freq
meynen (5) - 1 freq
remainan (5) - 2 freq
mann (5) - 15 freq
menna (5) - 3 freq
meenin (5) - 1 freq
antennae (5) - 2 freq
menin (5) - 2 freq
meinen (5) - 1 freq
wumann (5) - 1 freq
SoundEx code - U555
un-announced - 1 freq
unannounced - 1 freq
unanimous - 2 freq
unmeanan - 1 freq
unenin - 1 freq
unanimously - 3 freq
MetaPhone code - UNMNN
unmeanan - 1 freq
UNMEANAN
Time to execute Levenshtein function - 0.208133 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 - 0.361220 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 - 0.027605 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 - 0.037034 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 - 0.000883 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.