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 betrayal in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
betrayal (0) - 7 freq
betrayar (1) - 1 freq
betrayan (1) - 1 freq
betray (2) - 10 freq
betrays (2) - 1 freq
betrayed (2) - 7 freq
traal (3) - 1 freq
strayan (3) - 1 freq
metrical (3) - 1 freq
portrayal (3) - 1 freq
betrayers (3) - 1 freq
bethrays (3) - 1 freq
meerasyal (3) - 1 freq
beryl (3) - 2 freq
betrothal (3) - 1 freq
bethrayed (3) - 2 freq
bermeal (3) - 1 freq
bethray (3) - 2 freq
beerial (3) - 10 freq
beerana (3) - 1 freq
neteral (4) - 1 freq
strata (4) - 4 freq
raynal (4) - 1 freq
betsy (4) - 42 freq
bergman (4) - 2 freq
betrayal (0) - 7 freq
betrayan (2) - 1 freq
betrayar (2) - 1 freq
betrayed (3) - 7 freq
betray (3) - 10 freq
betrays (3) - 1 freq
beerial (4) - 10 freq
beryl (4) - 2 freq
traal (4) - 1 freq
neutral (5) - 17 freq
beurla (5) - 1 freq
trial (5) - 82 freq
burial (5) - 12 freq
natral (5) - 6 freq
petrel (5) - 3 freq
naetral (5) - 1 freq
buirial (5) - 4 freq
retiral (5) - 5 freq
braali (5) - 27 freq
braaly (5) - 42 freq
otral (5) - 1 freq
petrol (5) - 36 freq
betrayers (5) - 1 freq
bethrays (5) - 1 freq
leetral (5) - 1 freq
SoundEx code - B364
baitter-lookin - 1 freq
buttérlumps - 1 freq
better-like - 2 freq
bitterly - 9 freq
betrayal - 7 freq
bedroll - 7 freq
MetaPhone code - BTRYL
betrayal - 7 freq
BETRAYAL
Time to execute Levenshtein function - 0.193218 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 - 0.373495 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 - 0.029302 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 - 0.037999 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 - 0.000911 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.