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 enemie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
enemie (0) - 7 freq
enemies (1) - 36 freq
nemme (2) - 9 freq
eelie (2) - 1 freq
elegie (2) - 3 freq
exemin (2) - 1 freq
onesie (2) - 1 freq
enem (2) - 2 freq
envie (2) - 2 freq
phemie (2) - 2 freq
eneaise (2) - 1 freq
dcemie (2) - 1 freq
inimie (2) - 2 freq
eenie (2) - 4 freq
eemis (2) - 10 freq
inemies (2) - 3 freq
deemie (2) - 3 freq
everie (2) - 4 freq
anelie (2) - 25 freq
entrie (2) - 5 freq
enemas (2) - 1 freq
eerie (2) - 34 freq
jeemie (2) - 61 freq
enemy (2) - 37 freq
ermie (2) - 1 freq
enemie (0) - 7 freq
enemy (2) - 37 freq
inimie (2) - 2 freq
anemia (2) - 1 freq
enem (2) - 2 freq
enemies (2) - 36 freq
inemy (3) - 8 freq
anelie (3) - 25 freq
name (3) - 1202 freq
enemas (3) - 1 freq
nemea (3) - 9 freq
ermie (3) - 1 freq
deemie (3) - 3 freq
niemi (3) - 1 freq
jeemie (3) - 61 freq
nme (3) - 2 freq
anaemia (3) - 1 freq
inemies (3) - 3 freq
onesie (3) - 1 freq
aname (3) - 1 freq
nemme (3) - 9 freq
nem (3) - 51 freq
envie (3) - 2 freq
eenie (3) - 4 freq
eneaise (3) - 1 freq
SoundEx code - E550
e'enin - 1 freq
enemy - 37 freq
ennin - 2 freq
een-an - 1 freq
enin - 4 freq
eenin - 5 freq
enemie - 7 freq
eomin - 1 freq
eenan - 1 freq
en'in - 5 freq
enihin - 1 freq
eenou-an - 2 freq
einen - 1 freq
eamin - 1 freq
ehman - 1 freq
enem - 2 freq
enyhin - 1 freq
eamonn - 9 freq
enenoo - 8 freq
MetaPhone code - ENM
enemy - 37 freq
enemie - 7 freq
enem - 2 freq
ENEMIE
Time to execute Levenshtein function - 0.197958 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 - 0.352467 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 - 0.027300 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 - 0.038811 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 - 0.000854 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.