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 ‘popular’ in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
‘popular’ (0) - 1 freq
unpopular (4) - 3 freq
popularly (4) - 1 freq
popular (4) - 100 freq
‘cool’ (5) - 1 freq
‘star’ (5) - 1 freq
‘loyal’ (5) - 1 freq
poplars (5) - 2 freq
populated (5) - 2 freq
repopulate (5) - 1 freq
populatit (5) - 1 freq
poplar (5) - 1 freq
populace (5) - 6 freq
popularity (5) - 14 freq
‘tolerare’ (5) - 1 freq
‘car’ (5) - 1 freq
populate (5) - 3 freq
‘goal’ (5) - 1 freq
unpopulatit (5) - 1 freq
‘powny’ (5) - 2 freq
‘cone’ (6) - 2 freq
‘ow’ (6) - 1 freq
polaris (6) - 3 freq
‘deaf’ (6) - 1 freq
‘pure (6) - 1 freq
‘popular’ (0) - 1 freq
‘powny’ (8) - 2 freq
‘goal’ (8) - 1 freq
unpopular (8) - 3 freq
‘car’ (8) - 1 freq
‘tolerare’ (8) - 1 freq
‘loyal’ (8) - 1 freq
popularly (8) - 1 freq
popular (8) - 100 freq
‘cool’ (8) - 1 freq
‘star’ (8) - 1 freq
‘glow’ (9) - 1 freq
‘her’ (9) - 1 freq
‘rebuilt’ (9) - 1 freq
‘ither’ (9) - 1 freq
‘heresir’ (9) - 1 freq
‘minker’ (9) - 1 freq
‘tholian’ (9) - 1 freq
‘tolerate’ (9) - 1 freq
‘ker’ (9) - 1 freq
‘person’ (9) - 1 freq
poplar (9) - 1 freq
popularity (9) - 14 freq
poplars (9) - 2 freq
popularised (10) - 1 freq
SoundEx code - P146
popular - 100 freq
poplar - 1 freq
poplars - 2 freq
popularly - 1 freq
popularity - 14 freq
popularitie - 1 freq
popularisation - 1 freq
popularised - 1 freq
‘popular’ - 1 freq
MetaPhone code - PPLR
popular - 100 freq
poplar - 1 freq
‘popular’ - 1 freq
‘POPULAR’
Time to execute Levenshtein function - 0.198154 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 - 0.365880 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 - 0.029777 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 - 0.040242 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 - 0.000966 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.