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 feminine in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
feminine (0) - 6 freq
feminised (2) - 1 freq
feminist (2) - 2 freq
feminism (2) - 3 freq
miine (3) - 1 freq
defining (3) - 3 freq
remindin (3) - 19 freq
eminence (3) - 1 freq
feminists (3) - 3 freq
beginin (3) - 15 freq
feidin (3) - 1 freq
fennins (3) - 1 freq
fernie (3) - 1 freq
definin (3) - 4 freq
remine (3) - 2 freq
definite (3) - 19 freq
definin' (3) - 1 freq
feinish (3) - 13 freq
remainin (3) - 13 freq
feline (3) - 16 freq
dominie (3) - 66 freq
minie (3) - 2 freq
feinist (3) - 8 freq
refinin (3) - 2 freq
femlie (3) - 25 freq
feminine (0) - 6 freq
famine (4) - 15 freq
feinn (4) - 1 freq
remainin (4) - 13 freq
fennin (4) - 53 freq
finin (4) - 3 freq
minin (4) - 26 freq
minne (4) - 3 freq
femininity (4) - 2 freq
feminism (4) - 3 freq
feminist (4) - 2 freq
meinin (4) - 1 freq
feminised (4) - 1 freq
bemeanin (5) - 2 freq
dominion (5) - 4 freq
remainan (5) - 2 freq
fuming (5) - 2 freq
mainin (5) - 3 freq
demeanin (5) - 3 freq
minen (5) - 1 freq
feenyin (5) - 4 freq
examinin (5) - 9 freq
minion (5) - 3 freq
fumin (5) - 8 freq
rmnin (5) - 1 freq
SoundEx code - F555
feminine - 6 freq
finenin - 1 freq
femininity - 2 freq
funnywomen - 1 freq
MetaPhone code - FMNN
feminine - 6 freq
FEMININE
Time to execute Levenshtein function - 0.186530 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 - 0.456875 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 - 0.026700 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 - 0.037384 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 - 0.000774 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.