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 hijacked in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
hijacked (0) - 2 freq
jacked (2) - 2 freq
hijack (2) - 1 freq
hijackers (2) - 1 freq
hacked (2) - 9 freq
attacked (3) - 13 freq
whacked (3) - 5 freq
cloacked (3) - 11 freq
nicked (3) - 14 freq
clacked (3) - 1 freq
shoacked (3) - 2 freq
lacked (3) - 1 freq
haiked (3) - 1 freq
tracked (3) - 8 freq
mirackled (3) - 1 freq
backed (3) - 27 freq
hickled (3) - 1 freq
chacked (3) - 2 freq
kicked (3) - 63 freq
hocked (3) - 1 freq
stacked (3) - 7 freq
wicked (3) - 25 freq
ticked (3) - 5 freq
jacket (3) - 29 freq
loacked (3) - 4 freq
hijacked (0) - 2 freq
hijack (3) - 1 freq
hacked (3) - 9 freq
jacked (3) - 2 freq
hocked (4) - 1 freq
hijackers (4) - 1 freq
hinked (5) - 1 freq
hanked (5) - 1 freq
jaiked (5) - 2 freq
wracked (5) - 5 freq
smacked (5) - 7 freq
hiked (5) - 2 freq
picked (5) - 189 freq
cracked (5) - 41 freq
packed (5) - 59 freq
racked (5) - 5 freq
doacked (5) - 1 freq
chicked (5) - 1 freq
sacked (5) - 9 freq
hockid (5) - 1 freq
jockd (5) - 1 freq
hacket (5) - 1 freq
quacked (5) - 1 freq
licked (5) - 10 freq
craacked (5) - 1 freq
SoundEx code - H223
heichest - 24 freq
housecoat - 2 freq
highest - 21 freq
hugest - 1 freq
hijacked - 2 freq
heich-stannèrt - 1 freq
heighest - 2 freq
hege-syde - 1 freq
high-status - 2 freq
heychesters - 2 freq
heychester - 1 freq
hescastle - 1 freq
hoosecoat - 2 freq
hoosecoats - 1 freq
MetaPhone code - HJKT
hijacked - 2 freq
HIJACKED
Time to execute Levenshtein function - 0.390002 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 - 0.685550 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 - 0.086491 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 - 0.086466 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 - 0.000871 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.