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 learner in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
learner (0) - 8 freq
learnen (1) - 1 freq
earner (1) - 2 freq
learned (1) - 79 freq
learners (1) - 6 freq
larne (2) - 19 freq
learns (2) - 10 freq
learnan (2) - 2 freq
hearer (2) - 1 freq
nearder (2) - 1 freq
wearier (2) - 1 freq
leanne (2) - 31 freq
dearer (2) - 8 freq
learn (2) - 294 freq
learnt (2) - 157 freq
learn't (2) - 9 freq
leaned (2) - 40 freq
learie (2) - 1 freq
leather (2) - 77 freq
earned (2) - 19 freq
werner (2) - 1 freq
lairner (2) - 5 freq
learnin (2) - 106 freq
bearer (2) - 7 freq
lerne (2) - 1 freq
learner (0) - 8 freq
learners (2) - 6 freq
learned (2) - 79 freq
lairner (2) - 5 freq
earner (2) - 2 freq
learnen (2) - 1 freq
learnit (3) - 12 freq
learnd (3) - 1 freq
launer (3) - 1 freq
werner (3) - 1 freq
larder (3) - 9 freq
learnin (3) - 106 freq
larger (3) - 3 freq
lerne (3) - 1 freq
learnt (3) - 157 freq
larners (3) - 10 freq
learnan (3) - 2 freq
learns (3) - 10 freq
larne (3) - 19 freq
coarner (3) - 47 freq
warner (3) - 1 freq
lerned (3) - 1 freq
learn (3) - 294 freq
larned (3) - 12 freq
linner (4) - 2 freq
SoundEx code - L656
lorimer's - 9 freq
learner - 8 freq
lairners - 72 freq
lorimers - 1 freq
lorimer - 30 freq
learners - 6 freq
larners - 10 freq
lairner - 5 freq
lorrimer - 1 freq
lairners' - 3 freq
MetaPhone code - LRNR
learner - 8 freq
lairner - 5 freq
LEARNER
Time to execute Levenshtein function - 0.184453 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 - 0.337658 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 - 0.028838 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 - 0.038627 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 - 0.000926 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.