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 dunlop in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
dunlop (0) - 21 freq
dunlops (1) - 3 freq
dunlap (1) - 2 freq
dunloy (1) - 4 freq
dunlop's (2) - 1 freq
dunlops' (2) - 1 freq
dollop (2) - 3 freq
dunlin (2) - 2 freq
dunli (2) - 1 freq
dunno (2) - 43 freq
dunnoo (2) - 2 freq
dunes (3) - 6 freq
dunbar (3) - 48 freq
tulip (3) - 2 freq
pulp (3) - 4 freq
dunked (3) - 2 freq
diplo (3) - 1 freq
dunter (3) - 2 freq
sunup (3) - 1 freq
dunch (3) - 27 freq
duplex (3) - 1 freq
duncer (3) - 6 freq
dunjin (3) - 1 freq
unyo (3) - 1 freq
duller (3) - 2 freq
dunlop (0) - 21 freq
dunlap (1) - 2 freq
dunlops (2) - 3 freq
dunloy (2) - 4 freq
dunlin (3) - 2 freq
dunli (3) - 1 freq
dollop (3) - 3 freq
doonlow (4) - 1 freq
joydunlop (4) - 2 freq
dilip (4) - 1 freq
dounload (4) - 1 freq
develop (4) - 44 freq
dnlf (4) - 1 freq
dunlops' (4) - 1 freq
dunlop's (4) - 1 freq
dunno (4) - 43 freq
dunnoo (4) - 2 freq
djulp (4) - 1 freq
dunder (5) - 5 freq
daunton (5) - 2 freq
collop (5) - 1 freq
unlik (5) - 1 freq
dunky (5) - 1 freq
dunfy (5) - 1 freq
dule (5) - 37 freq
SoundEx code - D541
dunlop - 21 freq
dunlops' - 1 freq
dunlops - 3 freq
dunlap - 2 freq
dunlop's - 1 freq
danielbye - 1 freq
danielb - 1 freq
dnlf - 1 freq
danielfergie - 1 freq
MetaPhone code - TNLP
dunlop - 21 freq
dunlap - 2 freq
DUNLOP
Time to execute Levenshtein function - 0.193458 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 - 0.344838 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 - 0.027393 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 - 0.037979 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 - 0.000971 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.