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 enormous in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
enormous (0) - 15 freq
normous (1) - 2 freq
ginormous (2) - 4 freq
dormous (2) - 39 freq
venomous (2) - 1 freq
mormons (3) - 2 freq
armous (3) - 1 freq
enxious (3) - 4 freq
dormouse (3) - 1 freq
normo (3) - 1 freq
norms (3) - 5 freq
anonymous (3) - 25 freq
eebrous (3) - 3 freq
undemous (3) - 6 freq
eponymous (3) - 4 freq
generous (3) - 21 freq
sonorous (3) - 2 freq
amorous (3) - 3 freq
infamous (3) - 7 freq
decorous (3) - 2 freq
noxious (3) - 2 freq
normans (3) - 3 freq
envious (3) - 2 freq
enormity (3) - 3 freq
nervous (3) - 73 freq
enormous (0) - 15 freq
normous (1) - 2 freq
norms (3) - 5 freq
dormous (3) - 39 freq
ginormous (3) - 4 freq
normans (4) - 3 freq
enormity (4) - 3 freq
enorm (4) - 11 freq
undemous (4) - 6 freq
onerous (4) - 1 freq
nervous (4) - 73 freq
infamous (4) - 7 freq
dormouse (4) - 1 freq
normo (4) - 1 freq
armous (4) - 1 freq
anonymous (4) - 25 freq
venomous (4) - 1 freq
ignoramus (5) - 1 freq
anoraks (5) - 2 freq
norm (5) - 10 freq
erms (5) - 42 freq
norns (5) - 7 freq
informs (5) - 8 freq
norma (5) - 2 freq
nemos (5) - 1 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 - ENRMS
enormous - 15 freq
ENORMOUS
Time to execute Levenshtein function - 0.456382 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 - 0.540334 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 - 0.058450 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 - 0.038078 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 - 0.000840 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.