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 empie in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
empie (0) - 25 freq
kempie (1) - 1 freq
hempie (1) - 2 freq
empied (1) - 3 freq
emptie (1) - 1 freq
empien (1) - 1 freq
empire (1) - 82 freq
mxpie (2) - 1 freq
spie (2) - 3 freq
tempin (2) - 4 freq
empire' (2) - 1 freq
elsie (2) - 62 freq
sapie (2) - 1 freq
eadie (2) - 1 freq
eisie (2) - 2 freq
envie (2) - 2 freq
eme (2) - 1 freq
campie (2) - 16 freq
effie (2) - 11 freq
mie (2) - 3 freq
kempit (2) - 2 freq
erie (2) - 1 freq
heapie (2) - 1 freq
tempit (2) - 11 freq
impit (2) - 1 freq
empie (0) - 25 freq
empien (2) - 1 freq
empy (2) - 6 freq
emptie (2) - 1 freq
empire (2) - 82 freq
kempie (2) - 1 freq
empied (2) - 3 freq
hempie (2) - 2 freq
kypie (3) - 1 freq
mp (3) - 39 freq
empty (3) - 207 freq
pie (3) - 117 freq
impit (3) - 1 freq
imp (3) - 3 freq
imrie (3) - 1 freq
email (3) - 50 freq
ample (3) - 9 freq
humpie (3) - 1 freq
emit (3) - 4 freq
pumpie (3) - 2 freq
copie (3) - 17 freq
dumpie (3) - 1 freq
emoe (3) - 1 freq
moip (3) - 2 freq
peopie (3) - 1 freq
SoundEx code - E510
empie - 25 freq
envy - 25 freq
envie - 2 freq
enuf - 13 freq
empy - 6 freq
eneuf - 1 freq
enuff - 12 freq
emva - 1 freq
enof - 5 freq
env - 1 freq
emyf - 1 freq
eiemv - 1 freq
enoff - 1 freq
MetaPhone code - EMP
empie - 25 freq
empy - 6 freq
EMPIE
Time to execute Levenshtein function - 0.194369 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 - 0.320580 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 - 0.027090 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 - 0.036734 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 - 0.000837 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.