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 cottonwid in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
cottonwid (0) - 1 freq
cottonweed (2) - 1 freq
cottown (3) - 1 freq
cotton-woo (3) - 2 freq
cotton (3) - 25 freq
componit (4) - 1 freq
coontie (4) - 8 freq
motioned (4) - 1 freq
cowid (4) - 3 freq
contortit (4) - 2 freq
commontie (4) - 2 freq
notioned (4) - 1 freq
rottid (4) - 1 freq
coovid (4) - 1 freq
motorwiy (4) - 2 freq
contenin (4) - 1 freq
contented (4) - 8 freq
continewit (4) - 1 freq
contened (4) - 1 freq
condoned (4) - 1 freq
continued (4) - 69 freq
compoondid (4) - 1 freq
contined (4) - 4 freq
roondid (4) - 1 freq
boorwid (4) - 1 freq
cottonwid (0) - 1 freq
cottonweed (2) - 1 freq
cotton-woo (5) - 2 freq
cotton (5) - 25 freq
cottown (5) - 1 freq
contined (6) - 4 freq
continued (6) - 69 freq
contened (6) - 1 freq
continewit (6) - 1 freq
gattonside (6) - 1 freq
buttoned (6) - 11 freq
contented (6) - 8 freq
contineed (6) - 1 freq
cottared (6) - 5 freq
contend (6) - 4 freq
conteenyed (7) - 5 freq
contenin (7) - 1 freq
conteenwal (7) - 1 freq
steenywid (7) - 1 freq
cuttance (7) - 7 freq
syttand (7) - 1 freq
conteined (7) - 2 freq
conteenued (7) - 1 freq
cutting (7) - 16 freq
componed (7) - 2 freq
SoundEx code - C353
cottonwid - 1 freq
cottonweed - 1 freq
MetaPhone code - KTNWT
cottonwid - 1 freq
cottonweed - 1 freq
COTTONWID
Time to execute Levenshtein function - 0.229150 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 - 0.390097 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 - 0.031844 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 - 0.042475 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 - 0.000888 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.