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 annuff in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
annuff (0) - 1 freq
anuff (1) - 28 freq
inuff (2) - 1 freq
enuff (2) - 12 freq
annual (2) - 24 freq
anoff (2) - 6 freq
snuff (2) - 9 freq
annum (2) - 2 freq
'nuff (2) - 1 freq
pluff (3) - 4 freq
nufc (3) - 6 freq
sneeff (3) - 1 freq
anna (3) - 18 freq
anneal (3) - 2 freq
annan (3) - 4 freq
anno (3) - 5 freq
douff (3) - 2 freq
ansuer (3) - 1 freq
annecb (3) - 2 freq
an-ugh (3) - 1 freq
dandruff (3) - 12 freq
ruff (3) - 12 freq
anof (3) - 4 freq
anne (3) - 74 freq
macduff (3) - 18 freq
annuff (0) - 1 freq
anuff (2) - 28 freq
'nuff (3) - 1 freq
snuff (3) - 9 freq
anoff (3) - 6 freq
enuff (3) - 12 freq
inuff (3) - 1 freq
runoff (4) - 1 freq
enoff (4) - 1 freq
nyaff (4) - 24 freq
banff (4) - 45 freq
kinneff (4) - 1 freq
funff (4) - 1 freq
niff (4) - 1 freq
sniff (4) - 28 freq
snuffy (4) - 14 freq
annum (4) - 2 freq
annual (4) - 24 freq
ane-aff (4) - 4 freq
sneeff (4) - 1 freq
naff (4) - 2 freq
enuf (5) - 13 freq
annay (5) - 4 freq
annaw (5) - 2 freq
gruff (5) - 16 freq
SoundEx code - A510
anuff - 28 freq
annuff - 1 freq
amoeba - 1 freq
anof - 4 freq
amp - 10 freq
ane-aff - 4 freq
anoff - 6 freq
amoffa - 1 freq
MetaPhone code - ANF
aneugh - 15 freq
anuff - 28 freq
annuff - 1 freq
anof - 4 freq
anagh - 1 freq
an-ugh - 1 freq
ane-aff - 4 freq
anoff - 6 freq
€œaneugh - 1 freq
ANNUFF
Time to execute Levenshtein function - 0.199383 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 - 0.354465 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 - 0.027629 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 - 0.036765 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 - 0.000956 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.