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 betrayers in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
betrayers (0) - 1 freq
betrays (2) - 1 freq
betrayed (2) - 7 freq
betrayar (2) - 1 freq
betrayal (3) - 7 freq
travers (3) - 4 freq
betrayan (3) - 1 freq
beakers (3) - 1 freq
prayers (3) - 59 freq
traders (3) - 5 freq
bethrayed (3) - 2 freq
beaters (3) - 2 freq
bearers (3) - 5 freq
bethrays (3) - 1 freq
beavers (3) - 2 freq
betray (3) - 10 freq
bemoaners (3) - 1 freq
betters (3) - 6 freq
tasers (4) - 1 freq
retrace (4) - 1 freq
frasers (4) - 2 freq
beholders (4) - 2 freq
bernys (4) - 1 freq
trailers (4) - 1 freq
trawlers (4) - 4 freq
betrayers (0) - 1 freq
betrays (3) - 1 freq
betrayar (3) - 1 freq
bearers (4) - 5 freq
bethrays (4) - 1 freq
beaters (4) - 2 freq
betters (4) - 6 freq
betrayed (4) - 7 freq
bettirs (5) - 1 freq
batters (5) - 8 freq
beakers (5) - 1 freq
biters (5) - 2 freq
briers (5) - 2 freq
barriers (5) - 6 freq
berries (5) - 26 freq
barraes (5) - 6 freq
bothers (5) - 9 freq
bathers (5) - 2 freq
breers (5) - 6 freq
triers (5) - 2 freq
travers (5) - 4 freq
betrayal (5) - 7 freq
betrayan (5) - 1 freq
bethrayed (5) - 2 freq
prayers (5) - 59 freq
SoundEx code - B366
butterworth - 5 freq
'butterworth - 1 freq
butterworth's - 1 freq
butterwort - 1 freq
betrayers - 1 freq
betrayar - 1 freq
MetaPhone code - BTRYRS
betrayers - 1 freq
BETRAYERS
Time to execute Levenshtein function - 0.226747 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 - 0.426468 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 - 0.028259 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 - 0.038713 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 - 0.000889 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.