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 behavioural in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
behavioural (0) - 2 freq
behaviours (2) - 2 freq
behaviour (2) - 59 freq
behavior (3) - 1 freq
behavious (3) - 1 freq
behavour (3) - 1 freq
belabour (5) - 1 freq
€˜naitural (5) - 1 freq
bravura (5) - 1 freq
behavin (5) - 4 freq
behaivyoor (5) - 1 freq
saviour (5) - 14 freq
behoul (5) - 4 freq
balmoral (5) - 11 freq
behaving (5) - 4 freq
naitural (5) - 35 freq
habitual (5) - 2 freq
headicraa (6) - 2 freq
teviotdale (6) - 1 freq
favour (6) - 69 freq
feictional (6) - 1 freq
retiral (6) - 5 freq
beglamourt (6) - 1 freq
barbour (6) - 17 freq
devour' (6) - 1 freq
behavioural (0) - 2 freq
behaviour (3) - 59 freq
behaviours (3) - 2 freq
behavior (4) - 1 freq
behavour (4) - 1 freq
behavious (5) - 1 freq
behaivyoor (6) - 1 freq
behoul (7) - 4 freq
behaving (7) - 4 freq
balmoral (7) - 11 freq
bravura (7) - 1 freq
behavin (7) - 4 freq
haiverel (7) - 1 freq
behave (8) - 38 freq
beaver (8) - 5 freq
havera (8) - 2 freq
choral (8) - 2 freq
beerial (8) - 10 freq
several (8) - 46 freq
bovril (8) - 11 freq
behuvit (8) - 1 freq
viral (8) - 3 freq
bheurla (8) - 2 freq
behauder (8) - 2 freq
baurel (8) - 2 freq
SoundEx code - B164
beverly - 3 freq
bovril - 11 freq
behavioural - 2 freq
bovrils - 1 freq
MetaPhone code - BHFRL
behavioural - 2 freq
BEHAVIOURAL
Time to execute Levenshtein function - 0.224702 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 - 0.377047 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 - 0.032747 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 - 0.039760 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 - 0.000844 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.