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 baobabs in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
baobabs (0) - 15 freq
baobab (1) - 5 freq
boabs (2) - 1 freq
bawbaws (2) - 1 freq
bawbags (2) - 2 freq
bawbees (3) - 23 freq
baa's (3) - 1 freq
albais (3) - 1 freq
bawbag (3) - 13 freq
boab's (3) - 3 freq
boba (3) - 2 freq
bawjaws (3) - 3 freq
boass (3) - 3 freq
bob's (3) - 4 freq
blobs (3) - 4 freq
babes (3) - 6 freq
fatbaws (3) - 1 freq
bombs (3) - 26 freq
albans (3) - 1 freq
gobbs (3) - 20 freq
balkans (3) - 4 freq
saabs (3) - 1 freq
barbados (3) - 6 freq
babys (3) - 1 freq
boobs (3) - 7 freq
baobabs (0) - 15 freq
baobab (2) - 5 freq
babbies (3) - 13 freq
boabs (3) - 1 freq
bobs (4) - 9 freq
yabbs (4) - 1 freq
boobs (4) - 7 freq
bobby (4) - 45 freq
barbies (4) - 3 freq
babys (4) - 1 freq
boembs (4) - 1 freq
babe's (4) - 1 freq
baby's (4) - 6 freq
babby (4) - 25 freq
kebabs (4) - 3 freq
gobbs (4) - 20 freq
babies (4) - 28 freq
bobbies (4) - 33 freq
bombs (4) - 26 freq
bab's (4) - 1 freq
barbs (4) - 1 freq
bawbees (4) - 23 freq
bawbags (4) - 2 freq
bawbaws (4) - 1 freq
boab's (4) - 3 freq
SoundEx code - B112
baobabs - 15 freq
baffiebox - 1 freq
boabobski - 2 freq
MetaPhone code - BBBS
baobabs - 15 freq
BAOBABS
Time to execute Levenshtein function - 0.423723 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 - 0.564384 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 - 0.029158 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 - 0.037084 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 - 0.000868 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.