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 vampires in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
vampires (0) - 8 freq
vampire (1) - 14 freq
vampires' (1) - 1 freq
impires (2) - 1 freq
empires (2) - 8 freq
campfires (2) - 1 freq
empires' (3) - 2 freq
nappies (3) - 9 freq
tammies (3) - 1 freq
lambies (3) - 4 freq
vairses (3) - 1 freq
mires (3) - 3 freq
impyres (3) - 1 freq
vampiredom (3) - 1 freq
hempies (3) - 2 freq
suspires (3) - 1 freq
vaiges (3) - 1 freq
saltires (3) - 6 freq
vaines (3) - 1 freq
expires (3) - 1 freq
empire (3) - 82 freq
mammies (3) - 7 freq
impire (3) - 2 freq
samples (3) - 2 freq
gamies (3) - 11 freq
vampires (0) - 8 freq
vampires' (2) - 1 freq
vampire (2) - 14 freq
empires (3) - 8 freq
impires (3) - 1 freq
impyres (4) - 1 freq
vimmirs (4) - 1 freq
compares (4) - 7 freq
campers (4) - 2 freq
comperes (4) - 1 freq
campfires (4) - 1 freq
umpire's (5) - 1 freq
spires (5) - 2 freq
tempers (5) - 2 freq
dumpers (5) - 1 freq
ramparts (5) - 2 freq
mappies (5) - 13 freq
varies (5) - 2 freq
kempers (5) - 2 freq
empire's (5) - 5 freq
campie's (5) - 1 freq
jumpers (5) - 15 freq
vipers (5) - 5 freq
empire' (5) - 1 freq
inspires (5) - 3 freq
SoundEx code - V516
vampire - 14 freq
vampires - 8 freq
vampires' - 1 freq
vampiredom - 1 freq
MetaPhone code - FMPRS
vampires - 8 freq
vampires' - 1 freq
VAMPIRES
Time to execute Levenshtein function - 0.199159 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 - 0.375967 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 - 0.027488 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 - 0.038402 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 - 0.000859 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.