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 associes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
associes (0) - 5 freq
associe (1) - 32 freq
associe's (1) - 1 freq
associat (2) - 1 freq
associates (2) - 4 freq
lassies (3) - 308 freq
assumes (3) - 4 freq
assie (3) - 1 freq
cassies (3) - 6 freq
agencies (3) - 9 freq
stories (3) - 359 freq
shories (3) - 1 freq
assizes (3) - 2 freq
jassies (3) - 1 freq
tassies (3) - 3 freq
shoties (3) - 1 freq
stovies (3) - 37 freq
species (3) - 47 freq
associated (3) - 10 freq
assails (3) - 2 freq
asses (3) - 2 freq
lassock's (3) - 1 freq
awbodies (3) - 1 freq
abodies (3) - 1 freq
associate (3) - 15 freq
associes (0) - 5 freq
associe's (2) - 1 freq
associe (2) - 32 freq
associates (3) - 4 freq
associat (3) - 1 freq
assails (4) - 2 freq
species (4) - 47 freq
asses (4) - 2 freq
aussies (4) - 1 freq
assizes (4) - 2 freq
assuires (4) - 1 freq
associate (4) - 15 freq
assis (4) - 1 freq
assumes (4) - 4 freq
assauts (5) - 1 freq
assets (5) - 15 freq
soorces (5) - 15 freq
assess (5) - 8 freq
spices (5) - 16 freq
issues (5) - 88 freq
jassies (5) - 1 freq
assyse (5) - 1 freq
fasces (5) - 1 freq
slices (5) - 19 freq
spaces (5) - 19 freq
SoundEx code - A222
assizes - 2 freq
associe's - 1 freq
accuses - 1 freq
associes - 5 freq
axcizojvhk - 1 freq
MetaPhone code - ASSS
assizes - 2 freq
associe's - 1 freq
associes - 5 freq
ASSOCIES
Time to execute Levenshtein function - 0.404818 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 - 0.706875 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 - 0.076882 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 - 0.036949 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 - 0.000871 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.