A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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Similar words to warmer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
warmer (0) - 25 freq
warmed (1) - 16 freq
farmer (1) - 9 freq
wairmer (1) - 1 freq
warker (1) - 7 freq
warder (1) - 3 freq
waarmer (1) - 6 freq
warner (1) - 1 freq
waster (2) - 13 freq
wauner (2) - 2 freq
garter (2) - 2 freq
armur (2) - 1 freq
carer (2) - 10 freq
wame (2) - 74 freq
warked (2) - 23 freq
barber (2) - 7 freq
waiker (2) - 5 freq
wagner (2) - 1 freq
carter (2) - 3 freq
wurker (2) - 3 freq
arm'er (2) - 1 freq
water (2) - 252 freq
yarder (2) - 1 freq
caumer (2) - 1 freq
warmly (2) - 4 freq
warmer (0) - 25 freq
wairmer (1) - 1 freq
waarmer (1) - 6 freq
farmer (2) - 9 freq
warmed (2) - 16 freq
warner (2) - 1 freq
warder (2) - 3 freq
warker (2) - 7 freq
wormed (3) - 1 freq
werker (3) - 2 freq
wirmed (3) - 2 freq
wardar (3) - 1 freq
dormer (3) - 2 freq
werner (3) - 1 freq
fermer (3) - 194 freq
warmit (3) - 2 freq
warms (3) - 8 freq
warmt (3) - 2 freq
warm (3) - 355 freq
waarmed (3) - 3 freq
warmin (3) - 30 freq
former (3) - 38 freq
hermer (3) - 1 freq
warkar (3) - 1 freq
fairmer (3) - 61 freq
SoundEx code - W656
warmer - 25 freq
waarmer - 6 freq
wairmer - 1 freq
werner - 1 freq
warm-hairtit - 1 freq
warner - 1 freq
MetaPhone code - WRMR
warmer - 25 freq
waarmer - 6 freq
wairmer - 1 freq
WARMER
Time to execute Levenshtein function - 0.405116 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 - 0.969735 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 - 0.028001 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 - 0.164470 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 - 0.001124 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.