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 chnitzel in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
chnitzel (0) - 1 freq
schnitzel (1) - 1 freq
hizzel (3) - 1 freq
chisel (3) - 10 freq
chantel (3) - 8 freq
cheisel (3) - 2 freq
chitter (3) - 14 freq
hitsel (3) - 13 freq
chiel (3) - 456 freq
chaipel (3) - 11 freq
whitz (4) - 3 freq
whites (4) - 10 freq
itsel (4) - 476 freq
hitler (4) - 10 freq
lintel (4) - 6 freq
nither (4) - 5 freq
cities (4) - 43 freq
chattels (4) - 1 freq
cheined (4) - 1 freq
hisel (4) - 18 freq
conter (4) - 47 freq
whitied (4) - 1 freq
chanted (4) - 6 freq
chuntie (4) - 4 freq
chessel (4) - 1 freq
chnitzel (0) - 1 freq
schnitzel (2) - 1 freq
chantel (4) - 8 freq
chantal (5) - 1 freq
chortle (6) - 1 freq
chuntey (6) - 1 freq
chenille (6) - 1 freq
chunter (6) - 1 freq
chantie' (6) - 1 freq
hanzel (6) - 1 freq
chancel (6) - 1 freq
cantrol (6) - 1 freq
chantie (6) - 1 freq
chanties (6) - 1 freq
cantley (6) - 1 freq
chittle (6) - 1 freq
channel (6) - 41 freq
control (6) - 129 freq
chanter (6) - 14 freq
cantle (6) - 2 freq
chanel (6) - 1 freq
central (6) - 130 freq
cantil (6) - 1 freq
chante (6) - 1 freq
chitter (6) - 14 freq
SoundEx code - C532
canada's - 1 freq
contack - 37 freq
context-sensitive - 1 freq
conduct - 13 freq
chaunts - 2 freq
counts - 8 freq
contagious - 3 freq
condescendin - 5 freq
cunts - 195 freq
contact - 91 freq
cunt's - 25 freq
conductin - 3 freq
cunts' - 1 freq
conducted - 4 freq
coantact - 1 freq
count's - 2 freq
cents - 3 freq
context - 80 freq
cantiest - 2 freq
coonts - 17 freq
condescendit - 1 freq
cundies - 5 freq
chanties - 1 freq
contest - 16 freq
countess - 8 freq
contests - 6 freq
contacted - 4 freq
chants - 6 freq
contackit - 1 freq
conductor - 4 freq
counties' - 1 freq
contestin - 1 freq
countyside - 5 freq
commedagh - 1 freq
commits - 7 freq
'countess - 1 freq
coontess - 8 freq
comets - 12 freq
comet's - 1 freq
contactit - 5 freq
cantick - 1 freq
coontiess - 1 freq
candy-stick - 1 freq
coonties - 5 freq
contigue - 1 freq
coont's - 1 freq
candy-cane - 1 freq
conduck - 4 freq
counties - 2 freq
conductit - 5 freq
condescend - 3 freq
cantus - 1 freq
condeeshuns - 1 freq
condeeshun - 2 freq
comatee's - 5 freq
€˜context - 1 freq
committees - 2 freq
contexts - 15 freq
condescended - 1 freq
cantsmell - 10 freq
conduk - 1 freq
condukkit - 2 freq
cants - 1 freq
conduckit - 1 freq
commattees - 1 freq
condies - 2 freq
context- - 1 freq
conductress - 2 freq
conducive-tae-life - 1 freq
conducive - 2 freq
contacts - 7 freq
condescension - 1 freq
cantie-est - 1 freq
comatees - 5 freq
contacks - 2 freq
conductors - 1 freq
condescendinly - 1 freq
conducks - 4 freq
comedic - 1 freq
contested - 1 freq
comatose - 1 freq
comatosed - 1 freq
contestant - 1 freq
cnuts - 1 freq
countesswells - 1 freq
coneheids - 1 freq
cundeez - 1 freq
chnitzel - 1 freq
camtacs - 6 freq
comedycentraluk - 2 freq
chaunties - 1 freq
condysendin - 1 freq
cnudjhleqr - 1 freq
candice - 1 freq
cahunts - 1 freq
chunts - 4 freq
chmets - 1 freq
chynowethsusan - 1 freq
MetaPhone code - XNTSL
chnitzel - 1 freq
CHNITZEL
Time to execute Levenshtein function - 0.203428 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 - 0.389220 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 - 0.029241 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 - 0.038288 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 - 0.000903 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.