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 careerin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
careerin (0) - 3 freq
careenin (1) - 1 freq
caterin (2) - 4 freq
callerin (2) - 1 freq
career (2) - 66 freq
careerism (2) - 1 freq
creelin (2) - 2 freq
careers (2) - 12 freq
careert (2) - 1 freq
caperin (2) - 3 freq
cheerin (2) - 25 freq
careerist (2) - 1 freq
warderin (2) - 1 freq
caressin (2) - 3 freq
barberin (2) - 1 freq
careyin (2) - 1 freq
canterin (2) - 1 freq
careerne (2) - 1 freq
creesin (2) - 1 freq
barterin (2) - 1 freq
creepin (2) - 49 freq
careered (2) - 3 freq
oarderin (2) - 3 freq
clapperin (3) - 1 freq
teerin (3) - 5 freq
careerin (0) - 3 freq
careerne (2) - 1 freq
careenin (2) - 1 freq
carryin (3) - 16 freq
creesin (3) - 1 freq
creepin (3) - 49 freq
carrion (3) - 1 freq
carron (3) - 4 freq
cairrin (3) - 1 freq
careered (3) - 3 freq
careyin (3) - 1 freq
career (3) - 66 freq
careert (3) - 1 freq
careers (3) - 12 freq
creelin (3) - 2 freq
cheerin (3) - 25 freq
caperin (3) - 3 freq
caterin (3) - 4 freq
carven (4) - 1 freq
garrin (4) - 35 freq
cuiterin (4) - 1 freq
barrin (4) - 7 freq
careworn (4) - 1 freq
cartain (4) - 1 freq
cardin (4) - 2 freq
SoundEx code - C665
careworn - 1 freq
careerne - 1 freq
careerin - 3 freq
MetaPhone code - KRRN
careerne - 1 freq
careerin - 3 freq
CAREERIN
Time to execute Levenshtein function - 0.202925 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 - 0.382996 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 - 0.029063 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 - 0.037277 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 - 0.000911 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.