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 enamoured in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
enamoured (0) - 1 freq
enamourt (2) - 1 freq
smoured (3) - 4 freq
endured (3) - 5 freq
unmouped (3) - 1 freq
flavoured (3) - 1 freq
endeavoured (3) - 2 freq
natured (3) - 2 freq
enraptured (3) - 1 freq
beglamoured (3) - 1 freq
stumoured (3) - 1 freq
armoured (3) - 1 freq
airmoured (3) - 1 freq
savoured (3) - 4 freq
laboured (3) - 5 freq
favoured (3) - 12 freq
naptured (3) - 1 freq
coloured (4) - 35 freq
entombed (4) - 3 freq
enjoyed (4) - 135 freq
faured (4) - 3 freq
erasure (4) - 1 freq
smoored (4) - 32 freq
kenmore (4) - 1 freq
gnarred (4) - 1 freq
enamoured (0) - 1 freq
enamourt (3) - 1 freq
natured (4) - 2 freq
armoured (4) - 1 freq
airmoured (4) - 1 freq
unmouped (4) - 1 freq
smoured (4) - 4 freq
endured (4) - 5 freq
entered (5) - 40 freq
insured (5) - 3 freq
smoored (5) - 32 freq
anymore (5) - 14 freq
smored (5) - 4 freq
moored (5) - 2 freq
enquired (5) - 9 freq
numbered (5) - 6 freq
injured (5) - 10 freq
yammered (5) - 8 freq
named (5) - 53 freq
endeavoured (5) - 2 freq
naitered (5) - 1 freq
stumoured (5) - 1 freq
savoured (5) - 4 freq
laboured (5) - 5 freq
naptured (5) - 1 freq
SoundEx code - E556
enamourt - 1 freq
enamoured - 1 freq
eamonnreynolds - 87 freq
MetaPhone code - ENMRT
enamourt - 1 freq
enamoured - 1 freq
ENAMOURED
Time to execute Levenshtein function - 0.253677 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 - 0.590271 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 - 0.037968 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 - 0.092247 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 - 0.001058 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.