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 waarmer in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
waarmer (0) - 6 freq
waarmed (1) - 3 freq
wairmer (1) - 1 freq
warmer (1) - 25 freq
waarmt (2) - 3 freq
warner (2) - 1 freq
charmer (2) - 3 freq
warder (2) - 3 freq
waander (2) - 5 freq
waather (2) - 2 freq
waarmest (2) - 1 freq
waater (2) - 34 freq
waahfer (2) - 1 freq
waarms (2) - 1 freq
faarer (2) - 6 freq
waatter (2) - 2 freq
fairmer (2) - 61 freq
waarmin (2) - 7 freq
warker (2) - 7 freq
waarned (2) - 2 freq
waarm (2) - 81 freq
starmer (2) - 3 freq
waarkers (2) - 4 freq
faarder (2) - 1 freq
warmed (2) - 16 freq
waarmer (0) - 6 freq
wairmer (1) - 1 freq
warmer (1) - 25 freq
waarmed (2) - 3 freq
wearier (3) - 1 freq
waarms (3) - 1 freq
fairmer (3) - 61 freq
warker (3) - 7 freq
waarm (3) - 81 freq
warmed (3) - 16 freq
waarmin (3) - 7 freq
farmer (3) - 9 freq
waarmt (3) - 3 freq
warner (3) - 1 freq
warder (3) - 3 freq
warmt (4) - 2 freq
wirmed (4) - 2 freq
dramer (4) - 2 freq
wurker (4) - 3 freq
warm (4) - 355 freq
wirker (4) - 5 freq
weirder (4) - 1 freq
murmer (4) - 2 freq
warmly (4) - 4 freq
hermer (4) - 1 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
WAARMER
Time to execute Levenshtein function - 0.201859 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 - 0.337030 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 - 0.027398 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 - 0.038485 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 - 0.000783 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.