A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to agnew in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
agnew (0) - 1 freq
annew (1) - 1 freq
agnes (1) - 29 freq
anew (1) - 14 freq
€˜new (2) - 3 freq
‘new (2) - 2 freq
renew (2) - 7 freq
agyw (2) - 1 freq
magnet (2) - 16 freq
aghw (2) - 1 freq
agen (2) - 12 freq
awner (2) - 4 freq
gnaw (2) - 6 freq
'grew (2) - 1 freq
aget (2) - 1 freq
aged (2) - 34 freq
anaw (2) - 198 freq
aknow (2) - 1 freq
anee (2) - 1 freq
annaw (2) - 2 freq
gnev (2) - 1 freq
anw (2) - 1 freq
anes (2) - 222 freq
aaner (2) - 1 freq
awned (2) - 27 freq
agnew (0) - 1 freq
gnaw (2) - 6 freq
anew (2) - 14 freq
annew (2) - 1 freq
agnes (2) - 29 freq
gnev (3) - 1 freq
anw (3) - 1 freq
agane' (3) - 1 freq
sinew (3) - 2 freq
annaw (3) - 2 freq
aglow (3) - 1 freq
agane (3) - 334 freq
knew (3) - 227 freq
ageen (3) - 111 freq
aknow (3) - 1 freq
new (3) - 2325 freq
agaen (3) - 24 freq
'new (3) - 3 freq
anaw (3) - 198 freq
enew (3) - 2 freq
agyw (3) - 1 freq
renew (3) - 7 freq
aghw (3) - 1 freq
gnef (3) - 1 freq
agyen (3) - 2 freq
SoundEx code - A250
again - 2708 freq
askin - 183 freq
agin - 703 freq
agane - 334 freq
aesum - 2 freq
aesome - 7 freq
axiom - 1 freq
akin - 12 freq
agony - 19 freq
awauken - 5 freq
awkin - 2 freq
aknow - 1 freq
assume - 25 freq
again- - 1 freq
ashen - 2 freq
ackin - 5 freq
aixin - 1 freq
again' - 6 freq
acan - 1 freq
achan - 2 freq
aksin - 13 freq
achin - 14 freq
agonie - 4 freq
ayginee - 1 freq
asken - 4 freq
agayn - 4 freq
askin' - 5 freq
acne - 3 freq
asian - 13 freq
ae-same - 1 freq
aisan - 1 freq
axin - 25 freq
agnne - 1 freq
akim - 2 freq
agane' - 1 freq
aye-gaun - 1 freq
azwiéhin - 1 freq
agaen - 24 freq
ax'in - 1 freq
agnew - 1 freq
'awesome - 1 freq
achim - 2 freq
a'sum - 1 freq
aekin - 1 freq
¬‚aggan - 1 freq
ageen - 111 freq
a-goin - 1 freq
awesome - 35 freq
agein - 13 freq
acheen - 1 freq
askan - 10 freq
aisin - 1 freq
awaw-gaun - 1 freq
aesin - 2 freq
agen - 12 freq
assam - 1 freq
awsome - 2 freq
aiken - 11 freq
aakin - 3 freq
aegean - 4 freq
aye-gauin - 1 freq
agyen - 2 freq
agaiun - 1 freq
ayegaun - 1 freq
a-sayin - 1 freq
agin- - 1 freq
awoken - 2 freq
asma - 1 freq
aw-seein - 2 freq
awaken - 1 freq
agun - 1 freq
€˜ajami - 1 freq
aegin - 1 freq
aigan - 1 freq
€™again - 2 freq
ahsan - 1 freq
aken - 1 freq
again” - 1 freq
agm - 2 freq
agam - 1 freq
awsom - 1 freq
aoxnu - 1 freq
acum - 1 freq
asn - 1 freq
agno - 1 freq
acnh - 2 freq
ajm - 1 freq
aquiania - 1 freq
axemn - 1 freq
awqhn - 1 freq
MetaPhone code - AKN
again - 2708 freq
agane - 334 freq
akin - 12 freq
agony - 19 freq
awkin - 2 freq
aknow - 1 freq
again- - 1 freq
ackin - 5 freq
again' - 6 freq
acan - 1 freq
agonie - 4 freq
agayn - 4 freq
acne - 3 freq
agnne - 1 freq
agane' - 1 freq
agaen - 24 freq
agnew - 1 freq
¬‚aggan - 1 freq
a-goin - 1 freq
aiken - 11 freq
aakin - 3 freq
agaiun - 1 freq
agun - 1 freq
aigan - 1 freq
€™again - 2 freq
aken - 1 freq
again” - 1 freq
agno - 1 freq
acnh - 2 freq
aquiania - 1 freq
awqhn - 1 freq
AGNEW
Time to execute Levenshtein function - 0.197105 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 - 0.338682 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 - 0.027608 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 - 0.037829 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 - 0.000918 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.