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 ariel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ariel (0) - 5 freq
aries (1) - 3 freq
riel (1) - 1 freq
kriel (1) - 1 freq
aeriel (1) - 1 freq
maries (2) - 60 freq
ajie (2) - 3 freq
'diel (2) - 1 freq
tried (2) - 687 freq
brill (2) - 12 freq
cries (2) - 101 freq
alien (2) - 41 freq
varies (2) - 2 freq
ael (2) - 1 freq
ahied (2) - 1 freq
dries (2) - 8 freq
frier (2) - 1 freq
arise (2) - 10 freq
ari (2) - 3 freq
trill (2) - 3 freq
niel (2) - 1 freq
brel (2) - 2 freq
fardel (2) - 1 freq
urie (2) - 1 freq
armed (2) - 18 freq
ariel (0) - 5 freq
aeriel (1) - 1 freq
riel (1) - 1 freq
rel (2) - 1 freq
rael (2) - 110 freq
aerial (2) - 5 freq
ril (2) - 1 freq
reel (2) - 44 freq
aries (2) - 3 freq
kriel (2) - 1 freq
rie (3) - 1 freq
airly (3) - 20 freq
are' (3) - 1 freq
area (3) - 166 freq
diel (3) - 5 freq
are- (3) - 1 freq
yiel (3) - 1 freq
yarl (3) - 18 freq
argie (3) - 17 freq
ahil (3) - 1 freq
arite (3) - 7 freq
creel (3) - 37 freq
farel (3) - 1 freq
arles (3) - 5 freq
arne (3) - 1 freq
SoundEx code - A640
airlie - 47 freq
aerlie - 10 freq
airly - 20 freq
ariel - 5 freq
aerly - 19 freq
air'll - 2 freq
aeriel - 1 freq
aurally - 1 freq
aerial - 5 freq
aural - 1 freq
MetaPhone code - ARL
airlie - 47 freq
airly - 20 freq
ariel - 5 freq
air'll - 2 freq
aurally - 1 freq
aural - 1 freq
ARIEL
Time to execute Levenshtein function - 0.192545 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 - 0.380230 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 - 0.034789 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 - 0.040727 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 - 0.000944 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.