A Corpus of 21st Century Scots Texts

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Levenshtein Distance

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

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

Similar words to official in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
official (0) - 148 freq
officials (1) - 5 freq
offical (1) - 1 freq
offeicial (1) - 17 freq
offiecial (1) - 1 freq
offeecial (2) - 40 freq
offícial (2) - 1 freq
offeicials (2) - 2 freq
officially (2) - 10 freq
€˜official (2) - 1 freq
unofficial (2) - 5 freq
pfcofficial (3) - 1 freq
officiallie (3) - 1 freq
office' (3) - 1 freq
optician (3) - 4 freq
facial (3) - 18 freq
offices (3) - 17 freq
offeecials (3) - 2 freq
office (3) - 216 freq
speicial (3) - 1 freq
officialsyp (3) - 1 freq
spaicial (3) - 9 freq
judicial (3) - 2 freq
officialmoz (3) - 1 freq
offal (3) - 2 freq
official (0) - 148 freq
offiecial (1) - 1 freq
offeicial (1) - 17 freq
offical (1) - 1 freq
officials (2) - 5 freq
offeecial (2) - 40 freq
officially (3) - 10 freq
unofficial (3) - 5 freq
offeicials (3) - 2 freq
office (4) - 216 freq
offices (4) - 17 freq
offal (4) - 2 freq
offeicially (4) - 1 freq
officer (4) - 56 freq
facial (4) - 18 freq
offeecials (4) - 2 freq
€˜official (4) - 1 freq
officiallie (4) - 1 freq
office' (4) - 1 freq
offícial (4) - 1 freq
unofeecial (5) - 1 freq
offaice (5) - 11 freq
oaffices (5) - 2 freq
focal (5) - 2 freq
offece (5) - 1 freq
SoundEx code - O124
obviously - 110 freq
official - 148 freq
obviously' - 1 freq
'obviously - 1 freq
'officially' - 1 freq
offeeshul - 1 freq
obveesly - 4 freq
offeecial - 40 freq
offical - 1 freq
officials - 5 freq
offeeshals - 1 freq
officially - 10 freq
obsolete - 6 freq
obsoletion - 1 freq
offeicial - 17 freq
officiallie - 1 freq
offeicially - 1 freq
obviouslie - 1 freq
offeicials - 2 freq
officialdom - 1 freq
offeicially-supportit - 1 freq
offeeshal - 1 freq
offeiciallie - 1 freq
offeecialdom - 1 freq
offeicialness - 1 freq
offícialdom - 1 freq
offícial - 1 freq
offiecial - 1 freq
€˜official - 1 freq
offeecials - 2 freq
offeecially - 3 freq
offeeciallie-appruvit - 1 freq
officialmoz - 1 freq
o'pickled - 1 freq
offeecial discord - 1 freq
officialalired - 1 freq
officialbrfc - 3 freq
officialdafc - 1 freq
officialqosfc - 16 freq
ovgoliboz - 1 freq
officialsyp - 1 freq
owfzlp - 1 freq
officialfrlsu - 1 freq
officialcatchup - 28 freq
officialslfl - 13 freq
officialdinsey - 12 freq
officialshieldz - 1 freq
MetaPhone code - OFXL
official - 148 freq
'officially' - 1 freq
offeeshul - 1 freq
offeecial - 40 freq
officially - 10 freq
offeicial - 17 freq
officiallie - 1 freq
offeicially - 1 freq
offeeshal - 1 freq
offeiciallie - 1 freq
offícial - 1 freq
offiecial - 1 freq
€˜official - 1 freq
offeecially - 3 freq
OFFICIAL
Time to execute Levenshtein function - 0.293359 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 - 0.617087 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 - 0.063552 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 - 0.045510 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 - 0.000904 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.