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 honourable in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
honourable (0) - 8 freq
dishonourable (3) - 1 freq
favourable (3) - 1 freq
incurable (3) - 1 freq
honorarie (3) - 1 freq
hoarrible (4) - 1 freq
notable (4) - 5 freq
memorable (4) - 10 freq
hourle (4) - 1 freq
hornble (4) - 1 freq
honorar (4) - 1 freq
adorable (4) - 8 freq
honorarily (4) - 1 freq
honorre (4) - 1 freq
honours (4) - 11 freq
favourably (4) - 1 freq
meisurable (4) - 2 freq
resounable (4) - 1 freq
horrible (4) - 58 freq
comparable (4) - 7 freq
unmutable (4) - 1 freq
unjoukable (4) - 2 freq
'notable (4) - 1 freq
constable (4) - 24 freq
venerable (4) - 1 freq
honourable (0) - 8 freq
honorarily (5) - 1 freq
horrible (5) - 58 freq
hoarrible (5) - 1 freq
venerable (5) - 1 freq
incurable (5) - 1 freq
honorarie (5) - 1 freq
dishonourable (5) - 1 freq
favourable (5) - 1 freq
'notable (6) - 1 freq
horribly (6) - 2 freq
honorary (6) - 2 freq
honour's (6) - 2 freq
tolerable (6) - 1 freq
honourin (6) - 2 freq
honoured (6) - 6 freq
honour (6) - 94 freq
hornble (6) - 1 freq
honorar (6) - 1 freq
hourle (6) - 1 freq
memorable (6) - 10 freq
notable (6) - 5 freq
honorre (6) - 1 freq
adorable (6) - 8 freq
meisurable (6) - 2 freq
SoundEx code - H561
honourable - 8 freq
hunner-pund-a-time - 1 freq
hunnerfaul - 1 freq
hammarby - 1 freq
MetaPhone code - HNRBL
honourable - 8 freq
HONOURABLE
Time to execute Levenshtein function - 0.204796 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 - 0.366768 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 - 0.029170 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 - 0.039212 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 - 0.000848 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.