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 emerant in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
emerant (0) - 9 freq
emergant (1) - 1 freq
eerant (1) - 2 freq
emerants (1) - 1 freq
emerent (1) - 1 freq
emergent (2) - 1 freq
eerrant (2) - 1 freq
temerat (2) - 1 freq
emigrant (2) - 2 freq
emerald (2) - 17 freq
eerans (2) - 1 freq
meant (2) - 454 freq
reverant (2) - 3 freq
eeran (2) - 2 freq
emergit (2) - 1 freq
errant (2) - 2 freq
earrant (2) - 1 freq
elegant (2) - 12 freq
rembrandt (3) - 4 freq
meant' (3) - 1 freq
cleant (3) - 4 freq
bemeanit (3) - 1 freq
merit (3) - 16 freq
sternt (3) - 1 freq
erran (3) - 3 freq
emerant (0) - 9 freq
emerent (1) - 1 freq
emerants (2) - 1 freq
eerant (2) - 2 freq
emergant (2) - 1 freq
meant (3) - 454 freq
errant (3) - 2 freq
earrant (3) - 1 freq
eerrant (3) - 1 freq
emergent (3) - 1 freq
emigrant (3) - 2 freq
emergit (3) - 1 freq
byrant (4) - 1 freq
querent (4) - 1 freq
leernt (4) - 2 freq
meent (4) - 22 freq
imporant (4) - 1 freq
lernt (4) - 4 freq
merest (4) - 6 freq
werent (4) - 1 freq
moran (4) - 8 freq
merrit (4) - 6 freq
mereat (4) - 1 freq
merkat (4) - 6 freq
meint (4) - 6 freq
SoundEx code - E565
enormous - 15 freq
emerent - 1 freq
emerant - 9 freq
enorm - 11 freq
enormity - 3 freq
enormobibliotosspotificant - 1 freq
enairmit - 1 freq
emerants - 1 freq
MetaPhone code - EMRNT
emerent - 1 freq
emerant - 9 freq
EMERANT
Time to execute Levenshtein function - 0.195623 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 - 0.340881 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 - 0.026919 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 - 0.036679 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 - 0.000855 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.