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 empien in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
empien (0) - 1 freq
empied (1) - 3 freq
empie (1) - 25 freq
empire (2) - 82 freq
mien (2) - 3 freq
kempie (2) - 1 freq
hempie (2) - 2 freq
empties (2) - 6 freq
emptiet (2) - 1 freq
emptie (2) - 1 freq
hempies (2) - 2 freq
empires (2) - 8 freq
emptied (2) - 20 freq
tempin (2) - 4 freq
kempin (2) - 5 freq
empire' (2) - 1 freq
eien (2) - 1 freq
easin (3) - 11 freq
gappen (3) - 2 freq
easier (3) - 114 freq
een (3) - 2862 freq
damien (3) - 2 freq
jemmie (3) - 4 freq
epple (3) - 13 freq
open (3) - 735 freq
empien (0) - 1 freq
empie (2) - 25 freq
empied (2) - 3 freq
tempin (3) - 4 freq
emptie (3) - 1 freq
kempin (3) - 5 freq
mien (3) - 3 freq
empire (3) - 82 freq
mopin (3) - 1 freq
speen (4) - 17 freq
peepin (4) - 6 freq
lopin (4) - 1 freq
dumpin (4) - 5 freq
papin (4) - 2 freq
alpin (4) - 7 freq
empooer (4) - 2 freq
spiein (4) - 1 freq
heapin (4) - 2 freq
amin (4) - 1 freq
humpin (4) - 1 freq
oppin (4) - 4 freq
keepen (4) - 1 freq
heypen (4) - 3 freq
mein (4) - 2 freq
campin (4) - 4 freq
SoundEx code - E515
embankments - 1 freq
empie-hannit - 2 freq
enfants - 1 freq
embawmed - 1 freq
enfante - 1 freq
empien - 1 freq
envionment - 1 freq
enfondre - 1 freq
emboiain - 2 freq
MetaPhone code - EMPN
empien - 1 freq
EMPIEN
Time to execute Levenshtein function - 0.615597 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 - 0.980402 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 - 0.088206 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 - 0.104163 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 - 0.001007 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.