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 netflix in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
netflix (0) - 16 freq
€˜netflix (2) - 1 freq
nettlin (2) - 1 freq
ethlie (3) - 1 freq
newlie (3) - 1 freq
reflex (3) - 2 freq
betwix (3) - 2 freq
nellie (3) - 42 freq
nettles (3) - 23 freq
eflir (3) - 1 freq
detdlie (3) - 1 freq
nettle (3) - 8 freq
kettlie (3) - 3 freq
nestlin (3) - 2 freq
nflx (3) - 1 freq
helix (3) - 7 freq
setlin (3) - 1 freq
rettlin (3) - 2 freq
nettin (3) - 6 freq
felix (3) - 1 freq
fettlin (3) - 6 freq
natalie (3) - 7 freq
kettlin (3) - 3 freq
nettled (3) - 1 freq
ettlit (3) - 3 freq
netflix (0) - 16 freq
nettlin (4) - 1 freq
nflx (4) - 1 freq
€˜netflix (4) - 1 freq
natalie (5) - 7 freq
influx (5) - 1 freq
nettles (5) - 23 freq
nettled (5) - 1 freq
reflex (5) - 2 freq
nettle (5) - 8 freq
felix (5) - 1 freq
stiflin (6) - 4 freq
nate-lik (6) - 1 freq
naetril (6) - 1 freq
neteral (6) - 1 freq
nattled (6) - 1 freq
teflon (6) - 2 freq
natale (6) - 1 freq
nately (6) - 2 freq
nfl (6) - 2 freq
flax (6) - 3 freq
natal (6) - 2 freq
flex (6) - 1 freq
ntx (6) - 1 freq
neatly (6) - 26 freq
SoundEx code - N314
netflix - 16 freq
notably - 6 freq
'notable - 1 freq
notable - 5 freq
needful - 4 freq
€˜netflix - 1 freq
notability - 1 freq
notplanning - 1 freq
MetaPhone code - NTFLKS
netflix - 16 freq
€˜netflix - 1 freq
NETFLIX
Time to execute Levenshtein function - 0.226554 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 - 0.432707 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 - 0.033118 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 - 0.040581 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 - 0.001160 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.