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 ontak in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ontak (0) - 33 freq
ontae (1) - 343 freq
intak (1) - 2 freq
onta (1) - 2 freq
ontaks (1) - 13 freq
ontac (1) - 2 freq
onthank (2) - 1 freq
inta (2) - 109 freq
tntae (2) - 1 freq
€œtak (2) - 10 freq
gontae (2) - 7 freq
oota (2) - 53 freq
ootac (2) - 1 freq
entae (2) - 43 freq
ootae (2) - 83 freq
oak (2) - 16 freq
tak (2) - 2818 freq
intaa (2) - 1 freq
onnay (2) - 1 freq
intae (2) - 4586 freq
onna (2) - 18 freq
entaik (2) - 1 freq
intac (2) - 2 freq
onte (2) - 18 freq
ental (2) - 1 freq
ontak (0) - 33 freq
intak (1) - 2 freq
intake (2) - 4 freq
entaik (2) - 1 freq
ontac (2) - 2 freq
ontaks (2) - 13 freq
ontae (2) - 343 freq
onta (2) - 2 freq
ontaen (3) - 1 freq
uptak (3) - 14 freq
noak (3) - 3 freq
ontil (3) - 53 freq
intack (3) - 1 freq
ont (3) - 5 freq
'tak (3) - 24 freq
onty (3) - 3 freq
intaks (3) - 1 freq
intay (3) - 3 freq
antiek (3) - 1 freq
stak (3) - 9 freq
oantae (3) - 89 freq
untae (3) - 13 freq
entac (3) - 1 freq
onti (3) - 8 freq
onto (3) - 20 freq
SoundEx code - O532
on-eh-dugs - 1 freq
on'ts - 1 freq
ontac - 2 freq
ontak - 33 freq
ontaks - 13 freq
oonoticed - 1 freq
onduchtie - 1 freq
ondistrubilt - 1 freq
MetaPhone code - ONTK
ontac - 2 freq
ontak - 33 freq
ONTAK
Time to execute Levenshtein function - 0.330026 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 - 0.406287 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 - 0.027067 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 - 0.038933 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 - 0.000802 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.