A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to conorbruce in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
conorbruce (0) - 1 freq
nodbruce (3) - 1 freq
confrence (4) - 1 freq
construck (4) - 1 freq
honorarie (4) - 1 freq
honorre (4) - 1 freq
construct (4) - 4 freq
contribute (4) - 21 freq
concordance (4) - 3 freq
fionabruce (4) - 1 freq
conserve (5) - 2 freq
concordances (5) - 2 freq
conclude (5) - 11 freq
motorbike (5) - 3 freq
coortlie (5) - 2 freq
coherence (5) - 2 freq
cooperate (5) - 2 freq
correct (5) - 40 freq
coorse (5) - 831 freq
conrie (5) - 1 freq
honorar (5) - 1 freq
nourice (5) - 3 freq
confluence (5) - 3 freq
fortrace (5) - 7 freq
bruce (5) - 352 freq
conorbruce (0) - 1 freq
nodbruce (5) - 1 freq
fionabruce (6) - 1 freq
conspiracy (7) - 11 freq
concordance (7) - 3 freq
centerprece (7) - 1 freq
cenrre (7) - 1 freq
contribute (7) - 21 freq
honorre (7) - 1 freq
construck (7) - 1 freq
confrence (7) - 1 freq
construct (7) - 4 freq
honorarie (7) - 1 freq
canonbie (8) - 1 freq
contrar (8) - 10 freq
conurbation (8) - 1 freq
conveniece (8) - 1 freq
confeirance (8) - 2 freq
conveence (8) - 1 freq
cynosure (8) - 1 freq
concience (8) - 1 freq
contributed (8) - 7 freq
conveyance (8) - 1 freq
consairve (8) - 2 freq
correck (8) - 3 freq
SoundEx code - C561
conurbation - 1 freq
conurbations - 1 freq
conorbruce - 1 freq
ckmrbpigrb - 1 freq
MetaPhone code - KNRBRS
conorbruce - 1 freq
CONORBRUCE
Time to execute Levenshtein function - 0.225147 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 - 0.436367 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 - 0.029819 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 - 0.039232 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 - 0.000882 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.