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 affens in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
affens (0) - 8 freq
affen (1) - 118 freq
afens (1) - 2 freq
gaffers (2) - 2 freq
offees (2) - 1 freq
oftens (2) - 1 freq
affecks (2) - 6 freq
attens (2) - 1 freq
affere (2) - 1 freq
saftens (2) - 3 freq
apens (2) - 7 freq
affer (2) - 2 freq
saffen (2) - 1 freq
offen (2) - 17 freq
afters (2) - 3 freq
offers (2) - 67 freq
iffen (2) - 4 freq
aften (2) - 345 freq
alfenus (2) - 1 freq
afen (2) - 4 freq
affects (2) - 10 freq
aliens (2) - 5 freq
effeks (2) - 1 freq
athens (2) - 17 freq
fens (2) - 3 freq
affens (0) - 8 freq
offense (2) - 1 freq
afens (2) - 2 freq
affen (2) - 118 freq
fens (3) - 3 freq
effeks (3) - 1 freq
iffen (3) - 4 freq
oaffers (3) - 1 freq
offess (3) - 1 freq
offends (3) - 1 freq
affs (3) - 4 freq
offend (3) - 12 freq
daffins (3) - 1 freq
offers (3) - 67 freq
affin (3) - 2 freq
alfenus (3) - 1 freq
offees (3) - 1 freq
oftens (3) - 1 freq
offen (3) - 17 freq
affairs (4) - 42 freq
ffs (4) - 152 freq
freins (4) - 45 freq
offence (4) - 35 freq
farns (4) - 2 freq
fons (4) - 1 freq
SoundEx code - A152
apens - 7 freq
abeyance - 1 freq
avenge - 11 freq
avenues - 5 freq
affeomes - 1 freq
appens - 5 freq
apenness - 2 freq
affens - 8 freq
avengit - 2 freq
avenged - 3 freq
avengin - 1 freq
avenger - 1 freq
abins - 1 freq
aff-fawins - 2 freq
avengers - 2 freq
appunct - 1 freq
appense - 1 freq
afens - 2 freq
appen-access - 1 freq
MetaPhone code - AFNS
avenues - 5 freq
affens - 8 freq
afens - 2 freq
AFFENS
Time to execute Levenshtein function - 0.188719 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 - 0.373694 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 - 0.027144 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 - 0.037461 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 - 0.000935 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.