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 ebner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
ebner (0) - 5 freq
einer (1) - 1 freq
eber (1) - 3 freq
eser (2) - 1 freq
denner (2) - 273 freq
etter (2) - 2 freq
elmer (2) - 2 freq
eer (2) - 192 freq
aaner (2) - 1 freq
ooner (2) - 2 freq
eine (2) - 1 freq
tenner (2) - 25 freq
henner (2) - 3 freq
lner (2) - 1 freq
baer (2) - 2 freq
weber (2) - 1 freq
tuner (2) - 1 freq
efler (2) - 1 freq
ber (2) - 4 freq
hefner (2) - 1 freq
unner (2) - 461 freq
deener (2) - 3 freq
einen (2) - 1 freq
suner (2) - 3 freq
diner (2) - 1 freq
ebner (0) - 5 freq
eber (2) - 3 freq
einer (2) - 1 freq
siner (3) - 1 freq
keener (3) - 6 freq
ueber (3) - 1 freq
liner (3) - 4 freq
earner (3) - 2 freq
uner (3) - 2 freq
beer (3) - 142 freq
finer (3) - 14 freq
ner (3) - 53 freq
ainer (3) - 2 freq
gener (3) - 1 freq
jyner (3) - 30 freq
maner (3) - 4 freq
doner (3) - 2 freq
inner (3) - 46 freq
awner (3) - 4 freq
boer (3) - 3 freq
brer (3) - 2 freq
loner (3) - 1 freq
einar (3) - 27 freq
uber (3) - 2 freq
jiner (3) - 7 freq
SoundEx code - E156
ephemeral - 6 freq
'ephemeral' - 3 freq
eye-opener - 1 freq
ephemeralisation's - 1 freq
ephemerae - 1 freq
ephemera - 1 freq
ebner - 5 freq
ebner's - 1 freq
ee-opener - 1 freq
MetaPhone code - EBNR
ebner - 5 freq
EBNER
Time to execute Levenshtein function - 0.204480 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 - 0.420063 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 - 0.060244 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 - 0.045729 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 - 0.000944 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.