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 epilogue in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
epilogue (0) - 2 freq
pirogue (2) - 1 freq
dialogue (3) - 41 freq
epitome (3) - 7 freq
prologue (3) - 4 freq
plague (3) - 25 freq
episode (3) - 29 freq
collogue (3) - 62 freq
brogue (4) - 6 freq
dialogues (4) - 3 freq
rogue (4) - 11 freq
vilage (4) - 1 freq
plagues (4) - 4 freq
pilot (4) - 24 freq
exile (4) - 20 freq
exigus (4) - 1 freq
piggie (4) - 13 freq
episide (4) - 1 freq
eimage (4) - 18 freq
apologise (4) - 28 freq
pilate (4) - 36 freq
trilogy (4) - 2 freq
eile (4) - 1 freq
spiggte (4) - 1 freq
airgue (4) - 3 freq
epilogue (0) - 2 freq
pirogue (3) - 1 freq
plague (3) - 25 freq
apology (4) - 17 freq
prologue (4) - 4 freq
dialogue (4) - 41 freq
pillage (5) - 4 freq
plou (5) - 12 freq
ecology (5) - 3 freq
plout (5) - 1 freq
polonie (5) - 1 freq
plagued (5) - 5 freq
plous (5) - 3 freq
pilgim (5) - 1 freq
ploum (5) - 2 freq
plaque (5) - 19 freq
silage (5) - 19 freq
eulogy (5) - 4 freq
apologize (5) - 1 freq
ploued (5) - 4 freq
pile (5) - 113 freq
bilge (5) - 1 freq
ologie (5) - 1 freq
pilau (5) - 2 freq
pilie (5) - 1 freq
SoundEx code - E142
evils - 4 freq
eyeballs - 5 freq
epples - 10 freq
eeva-liisa - 1 freq
epilogue - 2 freq
effulgent - 1 freq
MetaPhone code - EPLK
epilogue - 2 freq
EPILOGUE
Time to execute Levenshtein function - 0.181493 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 - 0.353824 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 - 0.028318 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 - 0.038640 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 - 0.000929 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.