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 affens in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
affens (0) - 8 freq
afens (1) - 2 freq
affen (1) - 118 freq
affs (2) - 4 freq
attens (2) - 1 freq
afen (2) - 4 freq
daffins (2) - 1 freq
iffen (2) - 4 freq
apens (2) - 7 freq
saffen (2) - 1 freq
affecks (2) - 6 freq
'affen' (2) - 1 freq
affects (2) - 9 freq
aff'n (2) - 1 freq
affeir (2) - 1 freq
affin (2) - 2 freq
offense (2) - 1 freq
offess (2) - 1 freq
athens (2) - 17 freq
offees (2) - 1 freq
fens (2) - 3 freq
aliens (2) - 5 freq
saftens (2) - 3 freq
haffets (2) - 6 freq
oftens (2) - 1 freq
affens (0) - 8 freq
affen (2) - 118 freq
offense (2) - 1 freq
afens (2) - 2 freq
oftens (3) - 1 freq
fens (3) - 3 freq
offess (3) - 1 freq
effeks (3) - 1 freq
offees (3) - 1 freq
offends (3) - 1 freq
offend (3) - 12 freq
oaffers (3) - 1 freq
alfenus (3) - 1 freq
affin (3) - 2 freq
offers (3) - 59 freq
offen (3) - 17 freq
affs (3) - 4 freq
daffins (3) - 1 freq
iffen (3) - 4 freq
flans (4) - 3 freq
affairs (4) - 41 freq
sofans (4) - 1 freq
fifers (4) - 8 freq
sauffins (4) - 1 freq
fins (4) - 35 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 - 0.210980 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 - 0.438052 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 - 0.031414 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 - 0.039277 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 - 0.000801 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.