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 pavements in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
pavements (0) - 26 freq
pavement (1) - 54 freq
muvements (2) - 3 freq
avedents (2) - 1 freq
waements (2) - 1 freq
pyements (2) - 1 freq
payments (2) - 3 freq
movements (2) - 9 freq
placements (2) - 5 freq
moavements (2) - 1 freq
garments (3) - 2 freq
peyments (3) - 5 freq
presents (3) - 48 freq
bazement (3) - 1 freq
gairments (3) - 1 freq
elements (3) - 35 freq
paurents (3) - 27 freq
casement (3) - 3 freq
agiements (3) - 1 freq
patients (3) - 29 freq
laments (3) - 9 freq
statements (3) - 19 freq
mauments (3) - 1 freq
mevement (3) - 1 freq
patents (3) - 3 freq
pavements (0) - 26 freq
pavement (2) - 54 freq
movements (3) - 9 freq
moavements (3) - 1 freq
payments (3) - 3 freq
pyements (3) - 1 freq
muvements (3) - 3 freq
muivements (4) - 8 freq
meuvements (4) - 1 freq
peyments (4) - 5 freq
placements (4) - 5 freq
pigments (4) - 1 freq
avedents (4) - 1 freq
waements (4) - 1 freq
ailments (5) - 9 freq
goverments (5) - 3 freq
pairents (5) - 1 freq
tenements (5) - 19 freq
prevents (5) - 1 freq
paument (5) - 1 freq
clements (5) - 1 freq
maments (5) - 1 freq
muivments (5) - 1 freq
pawrents (5) - 6 freq
parents (5) - 173 freq
SoundEx code - P155
pavements - 26 freq
pavement - 54 freq
MetaPhone code - PFMNTS
pavements - 26 freq
PAVEMENTS
Time to execute Levenshtein function - 0.214569 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 - 0.368808 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 - 0.028083 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 - 0.037464 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 - 0.000818 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.