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 aeneas in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
aeneas (0) - 3 freq
anneal (2) - 2 freq
augeas (2) - 7 freq
anne's (2) - 2 freq
agendas (2) - 1 freq
agnes (2) - 29 freq
menes (2) - 6 freq
aines (2) - 2 freq
annas (2) - 2 freq
awners (2) - 3 freq
penels (2) - 7 freq
tenets (2) - 1 freq
anas (2) - 9 freq
aegean (2) - 4 freq
enemas (2) - 1 freq
enes (2) - 2 freq
anes (2) - 218 freq
aeneid (2) - 8 freq
genes (2) - 10 freq
wenes (2) - 1 freq
areas (2) - 93 freq
agness (2) - 2 freq
ane's (2) - 11 freq
keeps (3) - 158 freq
aixes (3) - 4 freq
aeneas (0) - 3 freq
anas (2) - 9 freq
anes (2) - 218 freq
enes (2) - 2 freq
aines (2) - 2 freq
ooneasy (3) - 1 freq
neis (3) - 1 freq
eenies (3) - 15 freq
ans (3) - 2 freq
noas (3) - 2 freq
aans (3) - 1 freq
nes (3) - 1 freq
aeons (3) - 1 freq
unease (3) - 6 freq
oens (3) - 1 freq
ains (3) - 14 freq
einas (3) - 1 freq
eines (3) - 3 freq
ane's (3) - 11 freq
eens (3) - 131 freq
inas (3) - 1 freq
eneaise (3) - 1 freq
uneasy (3) - 18 freq
enemas (3) - 1 freq
annas (3) - 2 freq
SoundEx code - A520
aince - 454 freq
ang - 8 freq
aneugh - 15 freq
aneuch - 30 freq
anes - 218 freq
ain-och - 1 freq
an---och - 1 freq
anyweys - 1 freq
ance - 69 freq
awns - 17 freq
angie - 36 freq
'angie - 5 freq
anxi - 4 freq
anas - 9 freq
anyways - 12 freq
amuse - 8 freq
awmous - 4 freq
ane's - 11 freq
annoys - 4 freq
amok - 1 freq
aims - 13 freq
a-miss - 1 freq
annie's - 8 freq
aeons - 1 freq
amyoose - 1 freq
ains - 14 freq
amaze - 4 freq
anna's - 3 freq
anq - 2 freq
aums - 1 freq
aeneas - 3 freq
anes' - 2 freq
'aince - 1 freq
an-och - 1 freq
amiss - 16 freq
anagh - 1 freq
an-ugh - 1 freq
ann's - 4 freq
anne's - 2 freq
annas - 2 freq
amos - 3 freq
am's - 2 freq
an's - 4 freq
amnesia - 1 freq
ank - 1 freq
anyoch - 25 freq
aamos - 5 freq
annies - 1 freq
ameise - 1 freq
aence - 8 freq
ameuse - 1 freq
annexe - 1 freq
anso - 1 freq
amuck - 1 freq
ans - 2 freq
aa'hing - 5 freq
anse - 4 freq
aneoch - 2 freq
an'-qh - 1 freq
ain's - 3 freq
aans - 1 freq
annays - 1 freq
'anus' - 1 freq
€œaneugh - 1 freq
annex - 4 freq
€œaince - 4 freq
amico - 1 freq
a-muigh - 1 freq
ange - 1 freq
anzio - 1 freq
aeyhing - 1 freq
€™ang - 2 freq
aines - 2 freq
ahing - 1 freq
anns - 1 freq
awmox - 1 freq
angieh - 1 freq
aÂ’hinÂ’s - 1 freq
aneÂ’s - 1 freq
aimee's - 1 freq
anyhoos - 13 freq
aeonmag - 1 freq
a'hing - 4 freq
annjj - 1 freq
aewing - 1 freq
ayoung - 1 freq
amigo - 3 freq
amys - 1 freq
amc - 1 freq
annec - 3 freq
ammys - 1 freq
MetaPhone code - ENS
ens - 16 freq
enns - 11 freq
eence - 316 freq
eens - 131 freq
ense - 15 freq
een's - 13 freq
eyn's - 1 freq
eyns - 7 freq
aeons - 1 freq
eense - 16 freq
eneaise - 1 freq
enn's - 1 freq
aeneas - 3 freq
eunice - 1 freq
einas - 1 freq
eins - 2 freq
eans - 10 freq
aence - 8 freq
eines - 3 freq
eince - 1 freq
€˜eence - 1 freq
eenies - 15 freq
enes - 2 freq
eneÂ’s - 1 freq
e'en's - 1 freq
AENEAS
Time to execute Levenshtein function - 0.225861 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 - 0.333545 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 - 0.027875 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 - 0.037718 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 - 0.000931 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.