A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to anoff in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
anoff (0) - 6 freq
anof (1) - 4 freq
anuff (1) - 28 freq
enoff (1) - 1 freq
ano (2) - 6 freq
aff (2) - 4397 freq
loff (2) - 2 freq
coff (2) - 19 freq
off (2) - 546 freq
anoot (2) - 1 freq
wan-off (2) - 1 freq
niff (2) - 1 freq
geoff (2) - 2 freq
naff (2) - 2 freq
sniff (2) - 28 freq
anon (2) - 6 freq
aloft (2) - 3 freq
runoff (2) - 1 freq
doff (2) - 3 freq
inuff (2) - 1 freq
hoff (2) - 1 freq
toff (2) - 12 freq
enuff (2) - 12 freq
enof (2) - 5 freq
adolf (2) - 2 freq
anoff (0) - 6 freq
enoff (1) - 1 freq
anuff (1) - 28 freq
niff (2) - 1 freq
naff (2) - 2 freq
inuff (2) - 1 freq
enuff (2) - 12 freq
anof (2) - 4 freq
hoff (3) - 1 freq
toff (3) - 12 freq
snuff (3) - 9 freq
'nuff (3) - 1 freq
annuff (3) - 1 freq
banff (3) - 45 freq
amoffa (3) - 1 freq
runoff (3) - 1 freq
enof (3) - 5 freq
doff (3) - 3 freq
coff (3) - 19 freq
loff (3) - 2 freq
aff (3) - 4397 freq
nyaff (3) - 24 freq
off (3) - 546 freq
naffu (3) - 1 freq
geoff (3) - 2 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
ANOFF
Time to execute Levenshtein function - 0.301265 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 - 0.531512 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 - 0.067263 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 - 0.084036 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 - 0.001293 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.