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 tmorn in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
tmorn (0) - 1 freq
morn (1) - 389 freq
thorn (1) - 9 freq
imorn (1) - 6 freq
torn (1) - 51 freq
tman (2) - 1 freq
town (2) - 51 freq
'mon (2) - 12 freq
voorn (2) - 1 freq
thor (2) - 20 freq
horn (2) - 59 freq
mon (2) - 149 freq
thorns (2) - 20 freq
moron (2) - 4 freq
morn- (2) - 4 freq
kforn (2) - 1 freq
porn (2) - 2 freq
skorn (2) - 1 freq
moran (2) - 8 freq
moarn (2) - 18 freq
tirn (2) - 35 freq
morn' (2) - 3 freq
taurn (2) - 1 freq
mown (2) - 2 freq
shorn (2) - 7 freq
tmorn (0) - 1 freq
morn (2) - 389 freq
imorn (2) - 6 freq
torn (2) - 51 freq
thorn (2) - 9 freq
timor (3) - 1 freq
turn (3) - 818 freq
moorn (3) - 1 freq
tron (3) - 11 freq
morna (3) - 12 freq
taurn (3) - 1 freq
i'morn (3) - 6 freq
themorn (3) - 1 freq
smorin (3) - 5 freq
morin (3) - 2 freq
murn (3) - 9 freq
tirn (3) - 35 freq
damorn (3) - 6 freq
toarn (3) - 1 freq
thern (3) - 1 freq
troon (3) - 5 freq
moarn (3) - 18 freq
moron (3) - 4 freq
thoarn (3) - 11 freq
thorny (3) - 3 freq
SoundEx code - T565
the-morn - 2 freq
tmorn - 1 freq
themorn - 1 freq
tynron's - 1 freq
timmerin - 4 freq
thunnerin - 1 freq
tynron - 1 freq
time-worn - 1 freq
taniawren - 1 freq
MetaPhone code - TMRN
tmorn - 1 freq
dammerin - 1 freq
damoarn - 5 freq
timmerin - 4 freq
damorn - 6 freq
TMORN
Time to execute Levenshtein function - 0.211920 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 - 0.377776 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 - 0.028227 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 - 0.038183 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 - 0.000978 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.