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 enemies in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
enemies (0) - 37 freq
enemie (1) - 7 freq
inemies (1) - 3 freq
entries (2) - 35 freq
nemmes (2) - 10 freq
inimies (2) - 2 freq
onesies (2) - 1 freq
elegies (2) - 3 freq
enemas (2) - 1 freq
eemis (2) - 12 freq
eenies (2) - 15 freq
deemies (2) - 1 freq
energies (2) - 2 freq
enemy's (2) - 1 freq
lammies (3) - 5 freq
seemes (3) - 1 freq
relies (3) - 1 freq
annies (3) - 1 freq
keelies (3) - 10 freq
nemms (3) - 2 freq
enmity (3) - 4 freq
eerins (3) - 6 freq
semis (3) - 4 freq
benefits (3) - 55 freq
sentries (3) - 3 freq
enemies (0) - 37 freq
inemies (1) - 3 freq
enemas (2) - 1 freq
enemie (2) - 7 freq
inimies (2) - 2 freq
names (3) - 304 freq
nemos (3) - 1 freq
enemy's (3) - 1 freq
nems (3) - 20 freq
eenies (3) - 15 freq
deemies (3) - 1 freq
nemmes (3) - 10 freq
onesies (3) - 1 freq
eemis (3) - 12 freq
anemia (4) - 1 freq
enes (4) - 2 freq
armies (4) - 4 freq
kemis (4) - 1 freq
onesie (4) - 1 freq
exems (4) - 1 freq
eneados (4) - 5 freq
namesy (4) - 1 freq
damies (4) - 1 freq
nims (4) - 2 freq
undies (4) - 3 freq
SoundEx code - E552
enemies - 37 freq
enemas - 1 freq
eenins - 2 freq
enhance - 15 freq
enhancing - 1 freq
enunclated - 1 freq
enunciatin - 1 freq
emancipator - 1 freq
eamonnss - 1 freq
enhanced - 2 freq
enhances - 1 freq
eumenius - 1 freq
enemy's - 1 freq
eamonns - 1 freq
MetaPhone code - ENMS
enemies - 37 freq
enemas - 1 freq
enemy's - 1 freq
ENEMIES
Time to execute Levenshtein function - 0.183256 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 - 0.362503 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 - 0.032061 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 - 0.040627 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 - 0.000936 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.