A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example sonsie

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Similar words to enamourt in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
enamourt (0) - 1 freq
enamoured (2) - 1 freq
faavourt (3) - 1 freq
atourt (3) - 1 freq
glamourit (3) - 1 freq
amour (3) - 1 freq
lamour (3) - 1 freq
clamour (3) - 8 freq
favourt (3) - 5 freq
endeavourt (3) - 1 freq
l'amour (3) - 1 freq
senatours (3) - 1 freq
amount (3) - 50 freq
famour (3) - 1 freq
beglamourt (3) - 1 freq
glamour (3) - 29 freq
ennywurt (3) - 1 freq
chamour (3) - 1 freq
envious (4) - 2 freq
rymour (4) - 1 freq
labour' (4) - 1 freq
nattur (4) - 1 freq
fracturt (4) - 1 freq
aroart (4) - 1 freq
hensour (4) - 1 freq
enamourt (0) - 1 freq
enamoured (3) - 1 freq
enquirt (5) - 1 freq
yammert (5) - 1 freq
nort (5) - 53 freq
hameart (5) - 3 freq
amrut (5) - 1 freq
namit (5) - 4 freq
nummert (5) - 4 freq
engert (5) - 1 freq
enmaist (5) - 1 freq
injurt (5) - 1 freq
naturet (5) - 1 freq
smoort (5) - 8 freq
en-route (5) - 1 freq
anymore (5) - 14 freq
mort (5) - 3 freq
damart (5) - 1 freq
unhurt (5) - 1 freq
namer (5) - 1 freq
favourt (5) - 5 freq
endeavourt (5) - 1 freq
amount (5) - 50 freq
lamour (5) - 1 freq
amour (5) - 1 freq
SoundEx code - E556
enamourt - 1 freq
enamoured - 1 freq
eamonnreynolds - 87 freq
MetaPhone code - ENMRT
enamourt - 1 freq
enamoured - 1 freq
ENAMOURT
Time to execute Levenshtein function - 0.215757 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 - 0.395221 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 - 0.029724 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 - 0.038374 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 - 0.000995 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.