A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

- basic concord - pre-sorted concord - post-sorted concord - map and chronology - chronogrid - fine-grain concord -

Similar words to favourable in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
favourable (0) - 1 freq
favourably (1) - 1 freq
favourite (3) - 234 freq
adorable (3) - 8 freq
honourable (3) - 8 freq
favoured (4) - 12 freq
unavoidable (4) - 3 freq
favourin (4) - 1 freq
valuable (4) - 18 freq
resounable (4) - 1 freq
parable (4) - 54 freq
arable (4) - 8 freq
meisurable (4) - 2 freq
favourit (4) - 7 freq
favourt (4) - 5 freq
favour (4) - 69 freq
favouring (4) - 1 freq
favourites (4) - 27 freq
favorite (4) - 2 freq
favours (4) - 22 freq
unavoydable (4) - 1 freq
favour's (4) - 1 freq
available (4) - 128 freq
vocable (4) - 1 freq
'favourite (4) - 1 freq
favourable (0) - 1 freq
favourably (1) - 1 freq
honourable (5) - 8 freq
adorable (5) - 8 freq
favourite (5) - 234 freq
vocable (6) - 1 freq
memorable (6) - 10 freq
available (6) - 128 freq
unavoydable (6) - 1 freq
saveable (6) - 1 freq
favour's (6) - 1 freq
incurable (6) - 1 freq
friable (6) - 2 freq
variable (6) - 5 freq
favours (6) - 22 freq
'available (6) - 1 freq
vailuable (6) - 4 freq
favourist (6) - 1 freq
avaelable (6) - 2 freq
valuable (6) - 18 freq
arable (6) - 8 freq
favoured (6) - 12 freq
favourin (6) - 1 freq
favorite (6) - 2 freq
meisurable (6) - 2 freq
SoundEx code - F161
five-year-plans - 1 freq
favourable - 1 freq
favourably - 1 freq
MetaPhone code - FFRBL
favourable - 1 freq
favourably - 1 freq
FAVOURABLE
Time to execute Levenshtein function - 0.217714 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 - 0.397343 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 - 0.028015 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 - 0.044655 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 - 0.001308 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.