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 oblivious in Corpus

Levenshtein Double Levenshtein SoundEx MetaPhone Manually curated
oblivious (0) - 14 freq
obvious (2) - 86 freq
obleevious (2) - 1 freq
oblivion (2) - 2 freq
obliviously (2) - 1 freq
malicious (3) - 1 freq
religious (3) - 50 freq
delicious (3) - 24 freq
olivia's (3) - 1 freq
obnoxious (3) - 1 freq
delirious (3) - 3 freq
velvous (4) - 1 freq
deleicious (4) - 1 freq
odious (4) - 4 freq
behavious (4) - 1 freq
oblique (4) - 2 freq
cairious (4) - 1 freq
ambitious (4) - 10 freq
obveeous (4) - 1 freq
oliviaj (4) - 1 freq
opeinioun (4) - 4 freq
obligin (4) - 6 freq
previous (4) - 43 freq
ubiqitous (4) - 1 freq
blinfoul (4) - 1 freq
oblivious (0) - 14 freq
obleevious (2) - 1 freq
obvious (3) - 86 freq
obliviously (3) - 1 freq
oblivion (3) - 2 freq
behavious (5) - 1 freq
olives (5) - 17 freq
bolivians (5) - 1 freq
obveeous (5) - 1 freq
blairius (5) - 1 freq
obliges (5) - 1 freq
blasius (5) - 1 freq
obnoxious (5) - 1 freq
religious (5) - 50 freq
malicious (5) - 1 freq
delicious (5) - 24 freq
olivia's (5) - 1 freq
velvous (5) - 1 freq
delirious (5) - 3 freq
blis (6) - 1 freq
bliss (6) - 59 freq
blouse (6) - 18 freq
bolivia (6) - 2 freq
levies (6) - 1 freq
blogs (6) - 9 freq
SoundEx code - O141
oblivious - 14 freq
obliviously - 1 freq
oblivion - 2 freq
obleevious - 1 freq
oblfpwmxqg - 1 freq
MetaPhone code - OBLFS
oblivious - 14 freq
obleevious - 1 freq
OBLIVIOUS
Time to execute Levenshtein function - 0.220616 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 - 0.379874 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 - 0.026852 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 - 0.036773 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 - 0.000793 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.