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 ipatrick in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ipatrick (0) - 1 freq
patrick (1) - 32 freq
€˜patrick (2) - 1 freq
stpatrick (2) - 1 freq
paitrick (2) - 1 freq
kilpatrick (2) - 3 freq
mathrick (3) - 1 freq
carrick (3) - 6 freq
trick (3) - 68 freq
ettrick (3) - 10 freq
mastrick (3) - 3 freq
spatrils (3) - 1 freq
uptick (3) - 1 freq
pairtrick (3) - 1 freq
attick (3) - 1 freq
africk (3) - 1 freq
lanrick (3) - 1 freq
fitzpatrick (3) - 1 freq
patriot (3) - 3 freq
€˜trick (3) - 1 freq
larick (3) - 1 freq
parrock (3) - 2 freq
paddick (3) - 1 freq
whutrick (3) - 2 freq
kirkpatrick (3) - 6 freq
ipatrick (0) - 1 freq
patrick (1) - 32 freq
paitrick (2) - 1 freq
parrock (4) - 2 freq
paitricks (4) - 7 freq
pairtrick (4) - 1 freq
prick (4) - 71 freq
patricia (4) - 21 freq
patricio (4) - 1 freq
uptick (4) - 1 freq
atrack (4) - 1 freq
strick (4) - 13 freq
trick (4) - 68 freq
ettrick (4) - 10 freq
€˜patrick (4) - 1 freq
stpatrick (4) - 1 freq
kilpatrick (4) - 3 freq
strack (5) - 9 freq
trock (5) - 12 freq
attrack (5) - 4 freq
partick (5) - 12 freq
puttock (5) - 1 freq
districk (5) - 3 freq
truck (5) - 48 freq
pricky (5) - 5 freq
SoundEx code - I136
ifter - 1 freq
i'bedroom - 3 freq
i'peterheid - 1 freq
ipatrick - 1 freq
MetaPhone code - IPTRK
ipatrick - 1 freq
IPATRICK
Time to execute Levenshtein function - 0.274511 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 - 0.431678 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 - 0.027878 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 - 0.038879 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 - 0.000872 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.