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 fineries in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
fineries (0) - 1 freq
finerie (1) - 2 freq
liveries (2) - 1 freq
fieres (2) - 3 freq
sindries (2) - 1 freq
intries (2) - 1 freq
fierie (2) - 2 freq
fisheries (2) - 6 freq
inemies (2) - 3 freq
miseries (2) - 2 freq
faeries (2) - 14 freq
kintries (2) - 4 freq
nineties (2) - 7 freq
kintrie's (3) - 1 freq
fingirs (3) - 58 freq
fiddies (3) - 1 freq
finnins (3) - 1 freq
fripperies (3) - 3 freq
lingerie (3) - 1 freq
kintraes (3) - 8 freq
peeries (3) - 2 freq
inehes (3) - 1 freq
flurries (3) - 2 freq
diaries (3) - 5 freq
sindrie (3) - 39 freq
fineries (0) - 1 freq
finerie (2) - 2 freq
fieres (3) - 3 freq
faeries (3) - 14 freq
fivers (4) - 3 freq
figures (4) - 48 freq
jiners (4) - 6 freq
fifers (4) - 8 freq
nories (4) - 25 freq
henries (4) - 1 freq
fingers (4) - 255 freq
flooeries (4) - 1 freq
fibres (4) - 2 freq
miners (4) - 41 freq
fancies (4) - 27 freq
foondries (4) - 2 freq
finer (4) - 14 freq
fairies (4) - 39 freq
fires (4) - 48 freq
liners (4) - 2 freq
fines (4) - 7 freq
diners (4) - 1 freq
fixers (4) - 1 freq
funcies (4) - 5 freq
finders (4) - 2 freq
SoundEx code - F562
fineries - 1 freq
fun-raisin - 1 freq
fanners - 1 freq
fmrj - 1 freq
MetaPhone code - FNRS
fineries - 1 freq
veneers - 1 freq
fanners - 1 freq
FINERIES
Time to execute Levenshtein function - 0.519585 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 - 0.996173 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 - 0.081376 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 - 0.100083 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 - 0.001305 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.