A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ablow

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Similar words to elmar in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
elmar (0) - 2 freq
elmer (1) - 2 freq
ellar (1) - 1 freq
elder (2) - 58 freq
eynar (2) - 34 freq
lear (2) - 107 freq
sellar (2) - 15 freq
hamar (2) - 5 freq
alma (2) - 1 freq
liar (2) - 24 freq
fulmar (2) - 2 freq
weimar (2) - 1 freq
kelman (2) - 6 freq
alomar (2) - 1 freq
ear (2) - 139 freq
velar (2) - 7 freq
edgar (2) - 10 freq
fellar (2) - 1 freq
floar (2) - 6 freq
elbas (2) - 9 freq
almark (2) - 1 freq
eemur (2) - 1 freq
mar (2) - 16 freq
elm (2) - 3 freq
elms (2) - 1 freq
elmar (0) - 2 freq
elmer (1) - 2 freq
alomar (2) - 1 freq
ellar (2) - 1 freq
mar (3) - 16 freq
elm (3) - 3 freq
eemur (3) - 1 freq
almark (3) - 1 freq
laar (3) - 2 freq
altar (3) - 22 freq
kumar (3) - 1 freq
neymar (3) - 1 freq
almac (3) - 1 freq
elr (3) - 1 freq
tamar (3) - 2 freq
elyer (3) - 1 freq
elms (3) - 1 freq
liar (3) - 24 freq
fulmar (3) - 2 freq
alma (3) - 1 freq
lear (3) - 107 freq
elder (3) - 58 freq
weimar (3) - 1 freq
hamar (3) - 5 freq
leir (4) - 20 freq
SoundEx code - E456
elmer - 2 freq
eyeliners - 1 freq
eyeliner - 2 freq
eleanor - 10 freq
elmar - 2 freq
eleanordacq - 1 freq
ellenrwilson - 1 freq
MetaPhone code - ELMR
elmer - 2 freq
elmar - 2 freq
ELMAR
Time to execute Levenshtein function - 0.188626 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 - 0.337351 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 - 0.028550 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 - 0.036902 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 - 0.000815 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.