A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to zhkstn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
zhkstn (0) - 1 freq
chest (3) - 101 freq
nekst (3) - 1 freq
whatn (3) - 1 freq
zimsen (3) - 1 freq
aksin (3) - 13 freq
lhsten (3) - 1 freq
hostin (3) - 16 freq
histy (3) - 1 freq
thesltn (3) - 2 freq
zest (3) - 2 freq
chasan (3) - 2 freq
zkots (3) - 4 freq
zxst (3) - 1 freq
hysts (3) - 1 freq
zukt (3) - 1 freq
zhws (3) - 1 freq
chyst (3) - 1 freq
whists (3) - 1 freq
akst (3) - 12 freq
chisty (3) - 1 freq
hsten (3) - 1 freq
hsun (3) - 2 freq
hosts (3) - 13 freq
haste (3) - 37 freq
zhkstn (0) - 1 freq
hasten (5) - 1 freq
shastin (5) - 1 freq
chastin (5) - 1 freq
lhsten (5) - 1 freq
hostin (5) - 16 freq
hsten (5) - 1 freq
heston (5) - 1 freq
whist (6) - 5 freq
'host' (6) - 1 freq
zhuan (6) - 1 freq
ahsan (6) - 1 freq
chiste (6) - 1 freq
ghosty (6) - 1 freq
chestane (6) - 1 freq
ghost' (6) - 1 freq
hyst (6) - 5 freq
zhat (6) - 1 freq
hast (6) - 2 freq
hyste (6) - 9 freq
hst (6) - 1 freq
chysen (6) - 1 freq
host (6) - 37 freq
chaste (6) - 1 freq
phkan (6) - 1 freq
SoundEx code - Z235
zhkstn - 1 freq
MetaPhone code - SKSTN
saxteen - 25 freq
sixteen - 44 freq
'sixteen' - 1 freq
suggestin' - 2 freq
'sixteen - 1 freq
succeedin - 2 freq
suggestin - 13 freq
sïxtaen - 1 freq
suggestan - 1 freq
zhkstn - 1 freq
sextin - 1 freq
ZHKSTN
Time to execute Levenshtein function - 0.354217 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 - 0.798265 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 - 0.093898 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 - 0.100282 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 - 0.000890 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.