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 fine-baned in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fine-baned (0) - 1 freq
wire-baned (2) - 1 freq
fine-made (3) - 1 freq
fite-faced (3) - 1 freq
fingerbanes (3) - 1 freq
minened (4) - 1 freq
wine-stained (4) - 1 freq
bare-banes (4) - 1 freq
sun-baked (4) - 1 freq
five-baurred (4) - 2 freq
nine-bars (4) - 1 freq
fine-tasty (4) - 3 freq
fitefaced (4) - 1 freq
finland (4) - 7 freq
fikeane (4) - 1 freq
in-bred (4) - 1 freq
finegael (4) - 1 freq
jing-bang (4) - 15 freq
din-faced (4) - 1 freq
fire-new (4) - 1 freq
fine-wove (4) - 1 freq
financed (4) - 2 freq
wine-baurs (4) - 1 freq
fire-edged (4) - 1 freq
rig-banes (4) - 1 freq
fine-baned (0) - 1 freq
wire-baned (4) - 1 freq
fine-made (5) - 1 freq
finland (6) - 7 freq
in-bred (6) - 1 freq
alice-band (6) - 1 freq
sun-baked (6) - 1 freq
fite-faced (6) - 1 freq
fingerbanes (6) - 1 freq
tin-canned (7) - 1 freq
kin-kind (7) - 1 freq
lang-baked (7) - 1 freq
functioned (7) - 1 freq
nae-baud (7) - 1 freq
home-baked (7) - 1 freq
shin-bane (7) - 1 freq
rig-bane (7) - 2 freq
sun-bed (7) - 4 freq
fine-tuin (7) - 1 freq
fanned (7) - 9 freq
fur-lined (7) - 2 freq
funned (7) - 2 freq
ice-boond (7) - 1 freq
hin-end (7) - 5 freq
kin-kynd (7) - 2 freq
SoundEx code - F515
fine-baned - 1 freq
MetaPhone code - FNBNT
fine-baned - 1 freq
FINE-BANED
Time to execute Levenshtein function - 0.205301 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 - 0.369851 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 - 0.027462 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 - 0.041143 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 - 0.000906 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.