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 nfutweets in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nfutweets (0) - 1 freq
nfustweets (1) - 1 freq
futrets (3) - 2 freq
rcstweets (3) - 1 freq
pruetweets (3) - 3 freq
tweets (3) - 56 freq
retweets (3) - 3 freq
future's (4) - 5 freq
streets (4) - 178 freq
nutrients (4) - 5 freq
nutties (4) - 1 freq
theets (4) - 1 freq
fotees (4) - 3 freq
pgtwweets (4) - 7 freq
futrats (4) - 1 freq
retweet (4) - 12 freq
tweeds (4) - 3 freq
nutters (4) - 7 freq
f-teeth (4) - 1 freq
weets (4) - 1 freq
cutlets (4) - 3 freq
outlets (4) - 1 freq
sweets (4) - 12 freq
futtret (4) - 1 freq
fleets (4) - 3 freq
nfutweets (0) - 1 freq
nfustweets (2) - 1 freq
pruetweets (5) - 3 freq
tweets (5) - 56 freq
futrets (5) - 2 freq
retweets (5) - 3 freq
nutties (6) - 1 freq
futrats (6) - 1 freq
rcstweets (6) - 1 freq
futret (7) - 7 freq
intents (7) - 2 freq
neets (7) - 1 freq
tweests (7) - 1 freq
twats (7) - 2 freq
teets (7) - 2 freq
tweet (7) - 100 freq
€˜tweet (7) - 1 freq
futures (7) - 8 freq
newts (7) - 1 freq
notts (7) - 20 freq
fatties (7) - 1 freq
twits (7) - 1 freq
infects (7) - 1 freq
neistweys (7) - 1 freq
nutmegs (7) - 1 freq
SoundEx code - N133
naebody'd - 6 freq
ïnvitit - 2 freq
neepheidit - 1 freq
nfutweets - 1 freq
MetaPhone code - NFTWTS
nfutweets - 1 freq
NFUTWEETS
Time to execute Levenshtein function - 0.288138 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 - 0.634589 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 - 0.082967 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 - 0.063245 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 - 0.002760 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.