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 delphi in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
delphi (0) - 1 freq
delhi (1) - 13 freq
adelphi (1) - 1 freq
elphe (2) - 1 freq
elph (2) - 1 freq
deli (2) - 3 freq
dolphin (2) - 5 freq
melchi (2) - 2 freq
dehs (3) - 1 freq
deeply (3) - 37 freq
eli (3) - 4 freq
delyte (3) - 4 freq
kelp (3) - 13 freq
dep (3) - 2 freq
delta (3) - 1 freq
daph (3) - 1 freq
delete (3) - 9 freq
paulphi (3) - 1 freq
belch (3) - 1 freq
delyt (3) - 3 freq
desprit (3) - 3 freq
deletit (3) - 3 freq
dellt (3) - 3 freq
deysh (3) - 4 freq
gelh (3) - 1 freq
delphi (0) - 1 freq
adelphi (1) - 1 freq
delhi (2) - 13 freq
dolphin (3) - 5 freq
elph (3) - 1 freq
elphe (3) - 1 freq
guelph (4) - 1 freq
dumphy (4) - 50 freq
daph (4) - 1 freq
ralph (4) - 5 freq
melchi (4) - 2 freq
deli (4) - 3 freq
paulphi (4) - 1 freq
delish (4) - 2 freq
alph (4) - 1 freq
alpha (4) - 5 freq
deepen (5) - 6 freq
helped (5) - 92 freq
dali (5) - 5 freq
delayin (5) - 3 freq
del (5) - 15 freq
delled (5) - 2 freq
depth (5) - 23 freq
deeplie (5) - 1 freq
delboy (5) - 2 freq
SoundEx code - D410
dolby - 3 freq
dial-up - 2 freq
dollop - 3 freq
delve - 6 freq
dollopie - 1 freq
dulefu - 3 freq
delphi - 1 freq
dilip - 1 freq
delboy - 2 freq
MetaPhone code - TLF
diaghilev - 1 freq
delve - 6 freq
dulefu - 3 freq
delphi - 1 freq
tea-leaf - 1 freq
tulv - 1 freq
DELPHI
Time to execute Levenshtein function - 0.198203 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 - 0.376326 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 - 0.030730 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 - 0.037144 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 - 0.000879 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.