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 favourin in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
favourin (0) - 1 freq
favouring (1) - 1 freq
savourin (1) - 7 freq
faivourin (1) - 1 freq
favourit (1) - 7 freq
flavourin (1) - 1 freq
favour's (2) - 1 freq
favourist (2) - 1 freq
favorit (2) - 2 freq
favour (2) - 69 freq
flavouring (2) - 1 freq
favourt (2) - 5 freq
faivourit (2) - 1 freq
favours (2) - 22 freq
favourite (2) - 234 freq
devourin (2) - 6 freq
saivourin (2) - 2 freq
labourin (2) - 3 freq
favoured (2) - 12 freq
carousin (3) - 2 freq
smourin (3) - 1 freq
favourites (3) - 27 freq
flavoured (3) - 1 freq
flavour (3) - 27 freq
labourin' (3) - 1 freq
favourin (0) - 1 freq
faivourin (1) - 1 freq
favourit (2) - 7 freq
flavourin (2) - 1 freq
savourin (2) - 7 freq
favouring (2) - 1 freq
favourite (3) - 234 freq
devourin (3) - 6 freq
favoured (3) - 12 freq
faivourit (3) - 1 freq
saivourin (3) - 2 freq
favours (3) - 22 freq
favourt (3) - 5 freq
favour (3) - 69 freq
favorit (3) - 2 freq
furin (4) - 1 freq
favorite (4) - 2 freq
devoorin (4) - 2 freq
favor (4) - 1 freq
faerin (4) - 1 freq
favrit (4) - 6 freq
florin (4) - 4 freq
fauvours (4) - 1 freq
haverin (4) - 25 freq
faavour (4) - 1 freq
SoundEx code - F165
faivourin - 1 freq
favourin - 1 freq
favouring - 1 freq
MetaPhone code - FFRN
foghorn - 4 freq
faivourin - 1 freq
favourin - 1 freq
FAVOURIN
Time to execute Levenshtein function - 0.425203 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 - 0.882786 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 - 0.028327 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 - 0.073098 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 - 0.000868 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.