A Corpus of 21st Century Scots Texts

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Levenshtein Distance

Enter a word to find nearest neighbouring words, for example ahint

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Similar words to bobservant in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
bobservant (0) - 1 freq
oabzervant (3) - 1 freq
observance (3) - 2 freq
servant (3) - 60 freq
observin (3) - 8 freq
observing (3) - 1 freq
observit (3) - 2 freq
observes (4) - 3 freq
tolerant (4) - 1 freq
subservient (4) - 1 freq
servan (4) - 4 freq
servants (4) - 45 freq
servint (4) - 1 freq
sevant (4) - 1 freq
doberman (4) - 2 freq
yin-servant (4) - 1 freq
servans (4) - 4 freq
observers (4) - 1 freq
boomerang (4) - 1 freq
gesserant (4) - 1 freq
observer (4) - 3 freq
servand (4) - 2 freq
observed (4) - 11 freq
conservin (4) - 1 freq
observe (4) - 14 freq
bobservant (0) - 1 freq
observing (5) - 1 freq
observit (5) - 2 freq
observin (5) - 8 freq
subservient (5) - 1 freq
oabzervant (5) - 1 freq
observance (5) - 2 freq
servant (5) - 60 freq
yin-servant (6) - 1 freq
servint (6) - 1 freq
observed (7) - 11 freq
observer (7) - 3 freq
servand (7) - 2 freq
conservin (7) - 1 freq
sairvant (7) - 3 freq
sarvint (7) - 22 freq
obsairvit (7) - 1 freq
gesserant (7) - 1 freq
obsairvin (7) - 1 freq
observe (7) - 14 freq
sevant (7) - 1 freq
servants (7) - 45 freq
servan (7) - 4 freq
observes (7) - 3 freq
servans (7) - 4 freq
SoundEx code - B126
bob-curtsey - 2 freq
by-passer - 1 freq
by-passers - 1 freq
bobservant - 1 freq
bawbaggery - 1 freq
MetaPhone code - BBSRFNT
bobservant - 1 freq
BOBSERVANT
Time to execute Levenshtein function - 0.292115 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 - 0.416398 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 - 0.027475 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 - 0.037491 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 - 0.000879 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.