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 ontaks in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ontaks (0) - 13 freq
ontak (1) - 33 freq
intaks (1) - 1 freq
€œtaks (2) - 1 freq
sneaks (2) - 3 freq
taks (2) - 455 freq
contacks (2) - 2 freq
onta (2) - 2 freq
onfaws (2) - 2 freq
ontaen (2) - 1 freq
staks (2) - 4 freq
intak (2) - 2 freq
contraks (2) - 1 freq
ontac (2) - 2 freq
onks (2) - 1 freq
ontae (2) - 343 freq
intake (2) - 4 freq
oaks (2) - 1 freq
ootfaws (3) - 1 freq
ants (3) - 5 freq
donks (3) - 5 freq
takk (3) - 89 freq
santas (3) - 2 freq
ental (3) - 1 freq
sottars (3) - 3 freq
ontaks (0) - 13 freq
intaks (1) - 1 freq
ontak (2) - 33 freq
staks (3) - 4 freq
intak (3) - 2 freq
onks (3) - 1 freq
taks (3) - 455 freq
intake (3) - 4 freq
ents (4) - 1 freq
nts (4) - 1 freq
taeks (4) - 1 freq
entaik (4) - 1 freq
anoraks (4) - 2 freq
stakes (4) - 6 freq
yytks (4) - 1 freq
inlaiks (4) - 1 freq
noks (4) - 1 freq
necks (4) - 24 freq
entails (4) - 1 freq
toks (4) - 1 freq
nats (4) - 2 freq
neuks (4) - 30 freq
entaels (4) - 1 freq
inte's (4) - 13 freq
antics (4) - 12 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 - ONTKS
on-eh-dugs - 1 freq
ontaks - 13 freq
ONTAKS
Time to execute Levenshtein function - 0.216915 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 - 0.417503 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 - 0.028874 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 - 0.041003 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 - 0.000910 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.