A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to nipscarts in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
nipscarts (0) - 1 freq
nipscart (1) - 1 freq
scarts (3) - 9 freq
discards (3) - 1 freq
nissart (3) - 3 freq
hipsters (4) - 1 freq
nipsiccar (4) - 1 freq
dysarts (4) - 1 freq
scarfs (4) - 4 freq
siccart (4) - 1 freq
scants (4) - 1 freq
innarts (4) - 1 freq
oscars (4) - 1 freq
bastarts (4) - 24 freq
smarts (4) - 1 freq
scatts (4) - 1 freq
nippers (4) - 2 freq
scars (4) - 12 freq
mitsyarty (4) - 1 freq
upstart (4) - 1 freq
heidscarfs (4) - 1 freq
soarts (4) - 12 freq
carts (4) - 2 freq
scairts (4) - 1 freq
scarns (4) - 1 freq
nipscarts (0) - 1 freq
nipscart (2) - 1 freq
scarts (5) - 9 freq
scairts (6) - 1 freq
inserts (6) - 1 freq
escorts (6) - 1 freq
discards (6) - 1 freq
nissart (6) - 3 freq
descartes (6) - 3 freq
exparts (7) - 1 freq
parts (7) - 24 freq
upwarts (7) - 2 freq
ipsyzras (7) - 1 freq
starts (7) - 181 freq
nichts (7) - 159 freq
nirts (7) - 2 freq
scares (7) - 5 freq
sarts (7) - 1 freq
hippycrits (7) - 3 freq
an'spoarts (7) - 1 freq
insects (7) - 5 freq
pasports (7) - 1 freq
insichts (7) - 8 freq
imparts (7) - 1 freq
departs (7) - 2 freq
SoundEx code - N126
nipscart - 1 freq
novgorodian - 1 freq
nipscarts - 1 freq
nphegarty - 1 freq
MetaPhone code - NPSKRTS
nipscarts - 1 freq
NIPSCARTS
Time to execute Levenshtein function - 0.295130 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 - 0.484837 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 - 0.030547 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 - 0.037815 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 - 0.000955 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.