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 staunnards in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
staunnards (0) - 1 freq
stannards (1) - 1 freq
staundards (1) - 3 freq
stannard (2) - 1 freq
standards (2) - 35 freq
staunnerts (2) - 2 freq
staundarts (2) - 9 freq
staunners (2) - 1 freq
staunnart (2) - 6 freq
stannarts (2) - 6 freq
staundard (2) - 15 freq
standerds (3) - 1 freq
stannarts- (3) - 1 freq
standard' (3) - 1 freq
staunds (3) - 29 freq
staundart (3) - 68 freq
staundardise (3) - 1 freq
standard (3) - 115 freq
starnward (3) - 1 freq
spaniards (3) - 1 freq
staundarts' (3) - 1 freq
stannerts (3) - 4 freq
stannart (3) - 10 freq
stunners (3) - 1 freq
standarts (3) - 9 freq
staunnards (0) - 1 freq
stannards (1) - 1 freq
staundards (2) - 3 freq
staunners (3) - 1 freq
staunnerts (3) - 2 freq
stannarts (3) - 6 freq
standards (3) - 35 freq
stannard (3) - 1 freq
staunnart (4) - 6 freq
stunners (4) - 1 freq
staundarts (4) - 9 freq
standerds (4) - 1 freq
stannerts (4) - 4 freq
staundard (4) - 15 freq
staundardise (4) - 1 freq
stannart (5) - 10 freq
staunnerdised (5) - 1 freq
staunnert (5) - 4 freq
standarts (5) - 9 freq
spaniards (5) - 1 freq
standard' (5) - 1 freq
stannarts- (5) - 1 freq
standard (5) - 115 freq
staunds (5) - 29 freq
standardise (5) - 1 freq
SoundEx code - S356
sittin-room - 2 freq
stunnert - 1 freq
stane-haurd - 1 freq
stammert - 2 freq
stunner - 9 freq
stunners - 1 freq
stammered - 4 freq
steamers - 1 freq
steam-roller - 1 freq
staunnertised - 1 freq
steamer - 6 freq
staumer - 5 freq
staumerin - 1 freq
stammers - 4 freq
scoto-american - 2 freq
staunnerts - 2 freq
sittinroom - 1 freq
stammer - 1 freq
stumor - 1 freq
stumour - 2 freq
stumer - 3 freq
sitteen-room - 2 freq
stannèrts - 8 freq
stannèrt - 7 freq
stannarteised - 1 freq
stannart - 10 freq
stimmerie - 1 freq
shitmarack - 1 freq
stannarts- - 1 freq
stannarts - 6 freq
stannerts - 4 freq
stumoured - 1 freq
stammer't - 1 freq
staneweir - 1 freq
stannard - 1 freq
staunert - 2 freq
stane-wrocht - 1 freq
staunardised - 2 freq
staunart - 47 freq
sweetener - 1 freq
staunners - 1 freq
staunardisation - 8 freq
stannartisers - 1 freq
staunnards - 1 freq
€˜stannard - 1 freq
sittan-room - 1 freq
staunnart - 6 freq
stannert - 3 freq
stanework - 1 freq
stannertisation - 1 freq
stonewark - 1 freq
scotnorma - 2 freq
stannards - 1 freq
scotthenriksen - 1 freq
scotmarshy - 6 freq
staunnerdised - 1 freq
stemorry - 1 freq
staunertisashun - 1 freq
stmarksirvine - 1 freq
stammering - 1 freq
staunnert - 4 freq
sittinrooms - 1 freq
MetaPhone code - STNRTS
staunnerts - 2 freq
stannèrts - 8 freq
stannarts- - 1 freq
stannarts - 6 freq
stannerts - 4 freq
staunnards - 1 freq
stannards - 1 freq
STAUNNARDS
Time to execute Levenshtein function - 0.223360 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 - 0.376262 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 - 0.028205 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 - 0.040099 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 - 0.000951 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.