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 potatoes in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
potatoes (0) - 7 freq
potties (2) - 1 freq
tomatoes (2) - 6 freq
potato (2) - 11 freq
polaties (2) - 1 freq
rotates (2) - 2 freq
potlatches (3) - 1 freq
polatie (3) - 1 freq
potata (3) - 1 freq
pot-holes (3) - 1 freq
bottoms (3) - 6 freq
petties (3) - 1 freq
patois (3) - 18 freq
plato's (3) - 2 freq
portaloos (3) - 1 freq
tomaties (3) - 1 freq
palates (3) - 1 freq
totties (3) - 8 freq
potions (3) - 11 freq
wottles (3) - 1 freq
praties (3) - 2 freq
potter (3) - 29 freq
statues (3) - 7 freq
oates (3) - 1 freq
estates (3) - 19 freq
potatoes (0) - 7 freq
potties (2) - 1 freq
potts (3) - 1 freq
petties (3) - 1 freq
rotates (3) - 2 freq
polaties (3) - 1 freq
patties (3) - 2 freq
potato (3) - 11 freq
plates (4) - 58 freq
prataes (4) - 1 freq
pottie (4) - 10 freq
pilates (4) - 1 freq
potted (4) - 4 freq
photaes (4) - 9 freq
pouties (4) - 1 freq
pirates (4) - 7 freq
poats (4) - 2 freq
pitts (4) - 1 freq
posties (4) - 3 freq
states (4) - 79 freq
estates (4) - 19 freq
potters (4) - 12 freq
potamus (4) - 1 freq
totties (4) - 8 freq
palates (4) - 1 freq
SoundEx code - P332
pathetically - 2 freq
pathetic - 28 freq
potatoes - 7 freq
pitheids - 1 freq
€œpathetic - 1 freq
potetaster - 1 freq
MetaPhone code - PTTS
potatoes - 7 freq
POTATOES
Time to execute Levenshtein function - 0.180964 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 - 0.375487 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 - 0.028859 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 - 0.038788 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 - 0.000864 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.